rudb_native/

lib.rs

//! Rudb's single-file columnar snapshot format.
//!
//! A committed directory names independently readable column pages. The first version handles
//! scalar columns and one table; the file header already has two generation slots so an unfinished
//! replacement directory cannot hide the last complete one.
//!
//! # Parts and stripes
//!
//! A part is one appended chunk, which is a thousand rows, and it is the unit a scan decodes and
//! hands to the pipeline. A stripe is sixty four parts, and it is the unit the directory describes
//! and the unit the file is laid out in: one page per column per stripe, holding that column's
//! sixty four part payloads end to end.
//!
//! The two are separate because they are sized by different pressures. A part wants to be small
//! because it is a vector and vectors live in cache. A stripe wants to be large because everything
//! the directory holds is per stripe and the directory is one buffer that has to be read and
//! decoded before a single row can be answered. A hundred million rows of the hundred and five
//! column ClickBench table is ninety seven thousand parts, and a directory with a page entry and a
//! pair of bounds per part per column is several hundred megabytes, which is what made that load
//! fail before this split existed. Sixty four parts to a stripe divides that by sixty four.
//!
//! Where the parts of a page start is not in the directory either, for the same reason. Each
//! stripe writes one index page holding a length and a checksum per part per column, and a reader
//! preads the sixty four entries belonging to the column it wants. A scan reads the whole column
//! page once and slices it; a sparse row fetch reads the index entries and then only the part it
//! needs.

#![forbid(unsafe_code)]

use std::cmp::Ordering;
use std::collections::{HashMap, VecDeque};
use std::fs::{File, OpenOptions};
use std::io::{Read, Seek, SeekFrom};
use std::mem::{size_of, size_of_val};
use std::path::Path;
use std::sync::atomic::{AtomicUsize, Ordering as Atomic};
use std::sync::{Arc, Mutex, OnceLock};

use rudb_common::bounds::{Bound, Op};
use rudb_common::{Error, Field, LogicalType, Result, Value};
use rudb_encoding::{chooser, integer, string};
use rudb_storage::sieve::Sieve;
use rudb_storage::{Probe, Range, Zone};
use rudb_vector::string::StringColumn;
use rudb_vector::validity::Validity;
use rudb_vector::{Buffer, Chunk, Data, Packed, TextSource, Vector};

const MAGIC: &[u8; 8] = b"RUDBNV10";
const DIRECTORY: &[u8; 8] = b"RUDBDI10";
const FORMAT: u32 = 16;
const HEADER: u64 = 80;
const SLOT_BYTES: usize = 28;
const MAX_PAGE: usize = 256 * 1024 * 1024;
const MAX_DIRECTORY: usize = 128 * 1024 * 1024;
const FREQUENCIES: &[u8; 8] = b"RUDBFQ2\0";
const FREQUENCY_CANDIDATES: usize = 32_768;
const FREQUENCY_ENTRIES: usize = 512;
const FREQUENCY_BUILD_RANK: usize = 10;
const FREQUENCY_ORDINALS: usize = 65_536;
/// The most threads the two per column passes at the end of a commit are spread over.
///
/// A table like `hits` has ninety numeric columns, so on a machine with more cores than this the
/// cap is what decides how long the frequencies take rather than the columns are. It is here at all
/// because each worker holds a candidate table and a decoded part, and a hundred of those at once
/// on a narrow machine would be worse than waiting.
const MAX_FREQUENCY_WORKERS: usize = 32;

/// The most threads one stripe's encode is spread over.
///
/// Higher than the frequency cap because this is the load itself rather than a pass at the end of
/// it, and the work is one column of sixty four parts, which is large enough that a thread that
/// takes one is not a thread that was started for nothing. A machine with more cores than this has
/// the rest of them on the Parquet read, which is still one thread and is the other half of #808.
const MAX_ENCODE_WORKERS: usize = 32;

/// The most bytes one column of one part may spend on a membership sieve.
///
/// A part is a thousand rows, so a filter sized for every one of them being distinct is about
/// thirteen hundred bytes and this never binds in practice. It is here so that a part that somehow
/// arrives much wider than a vector cannot put an unbounded index in the file. What does bind is the
/// rule in `encode_column` that a sieve may not be as large as the part it indexes, which is a cap
/// per column rather than one number for the whole file.
const SIEVE_BUDGET: usize = 8 * 1024;

fn io(error: std::io::Error) -> Error {
    Error::io(error.to_string())
}

fn invalid(message: &str) -> Error {
    Error::invalid_input(format!("invalid rudb native file: {message}"))
}

/// Adds a sequence of byte counts without an overflow the caller has to think about.
fn sum(counts: impl Iterator<Item = u64>) -> u64 {
    counts.fold(0, u64::saturating_add)
}

/// One column's span out of a per column list, or zero when the list is shorter than the column.
fn span_bytes(spans: &[Span], at: usize) -> u64 {
    spans.get(at).map_or(0, |span| u64::from(span.length))
}

/// One column's page out of a per column list, or zero when that column has no page at all.
fn page_bytes(pages: &[Option<Page>], at: usize) -> u64 {
    pages.get(at).and_then(Option::as_ref).map_or(0, Page::bytes)
}

fn checksum(bytes: &[u8]) -> u64 {
    const P1: u64 = 11_400_714_785_074_694_791;
    const P2: u64 = 14_029_467_366_897_019_727;
    const P3: u64 = 1_609_587_929_392_839_161;
    const P4: u64 = 9_650_029_242_287_828_579;
    const P5: u64 = 2_870_177_450_012_600_261;
    let round = |state: u64, word: u64| {
        state.wrapping_add(word.wrapping_mul(P2)).rotate_left(31).wrapping_mul(P1)
    };
    let merge = |state: u64, lane: u64| (state ^ round(0, lane)).wrapping_mul(P1).wrapping_add(P4);
    let word =
        |at: usize| u64::from_le_bytes(bytes[at..at + 8].try_into().expect("eight checksum bytes"));

    let mut at = 0;
    let mut hash = if bytes.len() >= 32 {
        let mut one = P1.wrapping_add(P2);
        let mut two = P2;
        let mut three = 0;
        let mut four = 0_u64.wrapping_sub(P1);
        while at + 32 <= bytes.len() {
            one = round(one, word(at));
            two = round(two, word(at + 8));
            three = round(three, word(at + 16));
            four = round(four, word(at + 24));
            at += 32;
        }
        let combined = one
            .rotate_left(1)
            .wrapping_add(two.rotate_left(7))
            .wrapping_add(three.rotate_left(12))
            .wrapping_add(four.rotate_left(18));
        merge(merge(merge(merge(combined, one), two), three), four)
    } else {
        P5
    };
    hash = hash.wrapping_add(bytes.len() as u64);
    while at + 8 <= bytes.len() {
        hash ^= round(0, word(at));
        hash = hash.rotate_left(27).wrapping_mul(P1).wrapping_add(P4);
        at += 8;
    }
    if at + 4 <= bytes.len() {
        let tail = u32::from_le_bytes(bytes[at..at + 4].try_into().expect("four checksum bytes"));
        hash ^= u64::from(tail).wrapping_mul(P1);
        hash = hash.rotate_left(23).wrapping_mul(P2).wrapping_add(P3);
        at += 4;
    }
    while at < bytes.len() {
        hash ^= u64::from(bytes[at]).wrapping_mul(P5);
        hash = hash.rotate_left(11).wrapping_mul(P1);
        at += 1;
    }
    hash ^= hash >> 33;
    hash = hash.wrapping_mul(P2);
    hash ^= hash >> 29;
    hash = hash.wrapping_mul(P3);
    hash ^ (hash >> 32)
}

#[derive(Debug, Clone, Copy)]
struct Slot {
    offset: u64,
    length: u32,
    generation: u64,
    hash: u64,
}

impl Slot {
    fn bytes(self) -> [u8; SLOT_BYTES] {
        let mut result = [0; SLOT_BYTES];
        result[..8].copy_from_slice(&self.offset.to_le_bytes());
        result[8..12].copy_from_slice(&self.length.to_le_bytes());
        result[12..20].copy_from_slice(&self.generation.to_le_bytes());
        result[20..28].copy_from_slice(&self.hash.to_le_bytes());
        result
    }

    fn read(bytes: &[u8]) -> Self {
        Self {
            offset: u64::from_le_bytes(bytes[..8].try_into().expect("eight bytes")),
            length: u32::from_le_bytes(bytes[8..12].try_into().expect("four bytes")),
            generation: u64::from_le_bytes(bytes[12..20].try_into().expect("eight bytes")),
            hash: u64::from_le_bytes(bytes[20..28].try_into().expect("eight bytes")),
        }
    }
}

#[derive(Debug, Clone, Copy)]
struct Page {
    offset: u64,
    length: u32,
    hash: u64,
}

impl Page {
    /// How much of the file this page takes, for [`Reader::layout`].
    fn bytes(&self) -> u64 {
        u64::from(self.length)
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
enum FrequencyValue {
    Null,
    Integer(i128),
    Code(u32),
}

#[derive(Debug, Clone)]
struct FrequencyEntry {
    value: FrequencyValue,
    count: u64,
}

/// Exact leading frequencies for one column.
///
/// Values outside `entries` occur at most `omitted_max` times. This lets a count-descending TopN
/// use the synopsis only when its last winner is strictly above every omitted value.
#[derive(Debug, Clone)]
struct FrequencySummary {
    entries: Vec<FrequencyEntry>,
    omitted_max: u64,
    ordinals: Vec<u64>,
}

/// Sparse row ordinals covered by a numeric frequency candidate set.
#[derive(Debug, Clone, PartialEq, Eq)]
pub struct FrequencyOccurrences {
    /// Upper bound for the frequency of every value absent from the fetched rows.
    pub omitted_max: u64,
    /// Table-wide row ordinals in ascending order.
    pub ordinals: Vec<u64>,
}

/// Where one column's page for one stripe sits in the file.
///
/// A column page has no checksum of its own because every part inside it carries one, and the
/// stripe's index page holds those. Checking a part on the way out of the page covers exactly the
/// bytes a reader is about to decode, and covers them once whether the reader took the whole page
/// or pulled one part out of the middle of it.
#[derive(Debug, Clone, Copy, Default)]
struct Span {
    offset: u64,
    length: u32,
}

/// One independently readable stripe of a table.
#[derive(Debug, Clone)]
pub struct Stripe {
    rows: usize,
    /// Rows in each part, in source order. Kept in the directory so that mapping a row ordinal to a
    /// part, which every sparse fetch does, never reads the file.
    parts: Vec<u32>,
    /// The index page: one section per column, holding a length and a checksum for every part and
    /// then a checksum of the section itself, so that a reader can pread one column's section and
    /// still know it is intact.
    index: Span,
    pages: Vec<Span>,
    memberships: Vec<Option<Page>>,
    /// One page per column holding the membership sieve of every part of the stripe, for the
    /// columns that have one. A column whose parts all declined a sieve has no page at all.
    sieves: Vec<Option<Page>>,
    zone: Zone,
}

impl Stripe {
    /// Number of rows in this stripe.
    #[must_use]
    pub fn rows(&self) -> usize {
        self.rows
    }

    /// Number of parts in this stripe.
    #[must_use]
    pub fn parts(&self) -> usize {
        self.parts.len()
    }
}

/// The committed table directory.
#[derive(Debug, Clone)]
pub struct Table {
    name: String,
    fields: Vec<Field>,
    stripes: Vec<Stripe>,
    rows: usize,
    dictionaries: Vec<Option<Page>>,
    frequencies: Vec<Option<FrequencySummary>>,
}

impl Table {
    /// The SQL table name held by this snapshot.
    #[must_use]
    pub fn name(&self) -> &str {
        &self.name
    }

    /// Columns in their SQL order.
    #[must_use]
    pub fn fields(&self) -> &[Field] {
        &self.fields
    }

    /// Committed row count.
    #[must_use]
    pub fn rows(&self) -> usize {
        self.rows
    }

    /// Independently readable stripes.
    #[must_use]
    pub fn stripes(&self) -> &[Stripe] {
        &self.stripes
    }
}

/// Where one column's bytes went, taken from the directory rather than by reading pages.
#[derive(Debug, Clone)]
pub struct ColumnLayout {
    /// The column's name, so a report does not have to carry the field list beside this.
    pub name: String,
    /// The type, spelled the way the catalog spells it.
    pub kind: String,
    /// Every stripe's page of this column added up, which is the encoded data itself.
    pub pages: u64,
    /// Every stripe's exact code membership page for this column.
    pub memberships: u64,
    /// Every stripe's membership sieve page for this column.
    pub sieves: u64,
    /// The table wide dictionary of this column, if it has one.
    pub dictionary: u64,
}

impl ColumnLayout {
    /// Everything this column costs, which is what the file would lose if the column went.
    #[must_use]
    pub fn total(&self) -> u64 {
        self.pages
            .saturating_add(self.memberships)
            .saturating_add(self.sieves)
            .saturating_add(self.dictionary)
    }
}

/// Where a whole file's bytes went.
///
/// Every number here comes out of the committed directory, so taking it costs one directory read
/// however large the file is. That is the point: a 45 GB table has to be able to say where it went
/// without being read, or nobody will ask.
///
/// The parts that are not a column are kept apart rather than shared out over the columns. The
/// stripe index page holds a section per column and could be split, and the directory and the
/// header cannot be, so splitting one of the three and not the others would read as if the columns
/// accounted for everything. They do not, and the gap is the thing worth looking at.
#[derive(Debug, Clone)]
pub struct Layout {
    /// The size of the file on disk.
    pub file: u64,
    /// Committed rows.
    pub rows: usize,
    /// Committed stripes.
    pub stripes: usize,
    /// Committed parts, which is how many chunks a scan reads.
    pub parts: usize,
    /// One entry per column, in the table's column order.
    pub columns: Vec<ColumnLayout>,
    /// Every stripe's index page, which carries a length and a checksum for every part of every
    /// column and is charged per stripe rather than per column.
    pub indexes: u64,
    /// The committed directory itself, the one that was read to build this.
    pub directory: u64,
    /// The fixed header, which holds the magic, the format and the two directory slots.
    pub header: u64,
}

impl Layout {
    /// Everything the columns cost together.
    #[must_use]
    pub fn columns_total(&self) -> u64 {
        self.columns.iter().map(ColumnLayout::total).fold(0, u64::saturating_add)
    }

    /// What the file holds that this does not account for.
    ///
    /// A committed file is written once and never rewritten in place, so an earlier directory and
    /// the pages of an earlier snapshot are still in it. That is the honest place for them: they
    /// are bytes on disk that no column owns.
    #[must_use]
    pub fn unaccounted(&self) -> u64 {
        self.file
            .saturating_sub(self.columns_total())
            .saturating_sub(self.indexes)
            .saturating_sub(self.directory)
            .saturating_sub(self.header)
    }
}

/// Appends pages and commits a new directory for one table.
#[derive(Debug)]
struct GlobalDictionary {
    primary: HashMap<u64, u32>,
    collisions: HashMap<u64, Vec<u32>>,
    offsets: Vec<u32>,
    payload: Vec<u8>,
    counts: Vec<u64>,
    nulls: u64,
}

impl GlobalDictionary {
    fn new() -> Self {
        Self {
            primary: HashMap::new(),
            collisions: HashMap::new(),
            offsets: vec![0],
            payload: Vec::new(),
            counts: Vec::new(),
            nulls: 0,
        }
    }

    fn bytes(&self, code: u32) -> Option<&[u8]> {
        let start = *self.offsets.get(code as usize)? as usize;
        let end = *self.offsets.get(code as usize + 1)? as usize;
        self.payload.get(start..end)
    }

    fn code(&mut self, text: &str) -> Result<u32> {
        let hash = checksum(text.as_bytes());
        if let Some(&code) = self.primary.get(&hash) {
            if self.bytes(code) == Some(text.as_bytes()) {
                return Ok(code);
            }
            if let Some(codes) = self.collisions.get(&hash) {
                if let Some(code) =
                    codes.iter().copied().find(|&code| self.bytes(code) == Some(text.as_bytes()))
                {
                    return Ok(code);
                }
            }
            let code = self.insert(text)?;
            self.collisions.entry(hash).or_default().push(code);
            return Ok(code);
        }
        let code = self.insert(text)?;
        self.primary.insert(hash, code);
        Ok(code)
    }

    fn insert(&mut self, text: &str) -> Result<u32> {
        let code = u32::try_from(self.offsets.len() - 1)
            .map_err(|_| invalid("global dictionary has too many values"))?;
        self.payload.extend_from_slice(text.as_bytes());
        self.offsets.push(
            u32::try_from(self.payload.len())
                .map_err(|_| invalid("global dictionary payload exceeds 4 GiB"))?,
        );
        self.counts.push(0);
        Ok(code)
    }

    /// This dictionary's values in sorted order, each as the first eight bytes of the value and the
    /// code that holds it, so entry `rank` describes the value that sits at `rank` when the values
    /// are sorted by their bytes.
    ///
    /// Codes themselves stay in first appearance order, which is what lets the writer hand one out
    /// the moment it sees a value rather than waiting for the last stripe, and which also keeps a
    /// stripe's codes close together because the data is clustered. This is what puts the values
    /// back in order for anything that needs it, and it is separate from the codes so that getting
    /// it costs a sort of the distinct values at the end rather than a rewrite of every code page.
    ///
    /// The sort compares the first eight bytes as one integer before it compares the values, which
    /// settles almost every pair without touching the payload. Padding with zero on the right is
    /// order preserving for byte strings, because a shorter value differs from a longer one that
    /// starts the same way at a position where the shorter one has run out, and zero is below every
    /// byte that could be there. A pair the head cannot settle falls through to the bytes.
    ///
    /// The heads are kept rather than thrown away once the sort is over, because a reader searching
    /// this order wants exactly the same comparison and for exactly the same reason. Eight bytes an
    /// entry of file is what buys a binary search that reads no values at all in the ordinary case.
    fn ranked(&self) -> Vec<(u64, u32)> {
        let count = self.offsets.len() - 1;
        let mut ranked = (0..count)
            .map(|code| {
                let code = code as u32;
                (head(self.bytes(code).unwrap_or_default()), code)
            })
            .collect::<Vec<_>>();
        ranked.sort_unstable_by(|left, right| {
            left.0.cmp(&right.0).then_with(|| self.bytes(left.1).cmp(&self.bytes(right.1)))
        });
        ranked
    }

    fn observe(&mut self, code: u32, null: bool) -> Result<()> {
        if null {
            self.nulls = self.nulls.saturating_add(1);
            return Ok(());
        }
        let count = self
            .counts
            .get_mut(code as usize)
            .ok_or_else(|| invalid("global dictionary count code is out of range"))?;
        *count = count.saturating_add(1);
        Ok(())
    }
}

/// Appends pages and commits a new directory for one table.
#[derive(Debug)]
pub struct Writer {
    file: File,
    /// Where the next write goes, counted here rather than asked of the file.
    ///
    /// The file's own cursor is not ours. Building the numeric frequencies reads pages back through
    /// [`read_at`], and a positional read is only positional about where it reads from: `pread`
    /// leaves the cursor alone, and the call Windows has for it moves the cursor to the end of what
    /// it read. A writer that asked the file where it was would then write the directory over a
    /// page it had already written, which is what it did.
    at: u64,
    table: Table,
    generation: u64,
    /// The first and the last source position in every stripe, in the order the stripes were
    /// written.
    order: Vec<((u64, u64), (u64, u64))>,
    next_order: u64,
    dictionaries: Vec<Option<GlobalDictionary>>,
    pending: Vec<PendingChunk>,
}

/// A chunk that has arrived and is waiting for the rest of its stripe.
///
/// The rows are kept rather than the pages they encode to, which is the whole of #808's first half.
/// Encoding on arrival put every column of every part on the thread that called `append_at`, and
/// that thread is the only one the load has. Encoding at the flush instead means a stripe's worth
/// of work is on the table at once, and a stripe splits by column into a hundred and five pieces
/// that share nothing.
#[derive(Debug)]
struct PendingChunk {
    order: (u64, u64),
    chunk: Chunk,
}

/// One column's share of a stripe, which is what one encode worker produces.
///
/// Indexed by part, so a stripe is a column of these and the write loop reads down one of them.
/// That is also the order the loop wanted: `flush_pending` walks a column at a time and lays its
/// parts next to each other, and it used to reach across a row of parts to do it.
#[derive(Debug)]
struct ColumnStripe {
    pages: Vec<Vec<u8>>,
    codes: Vec<Option<Vec<u32>>>,
    sieves: Vec<Option<Sieve>>,
    ranges: Vec<Range>,
}

/// Roughly what encoding a column of this type costs, for ordering the encode queue.
///
/// Only the order matters and only roughly. A string column hashes and copies every value into a
/// dictionary and is in a different class from everything else, and among the fixed widths the wide
/// ones carry more bytes through the cascade than the narrow ones. Anything finer than that would
/// be a cost model, and the queue already absorbs a wrong guess: it only has to avoid finishing on
/// a column nobody else can help with.
fn weight(ty: &LogicalType) -> usize {
    match ty {
        LogicalType::Varchar | LogicalType::Blob => 64,
        LogicalType::BigInt
        | LogicalType::UBigInt
        | LogicalType::Timestamp
        | LogicalType::Double
        | LogicalType::Decimal { .. } => 8,
        LogicalType::Integer | LogicalType::UInteger | LogicalType::Date | LogicalType::Float => 4,
        LogicalType::SmallInt | LogicalType::USmallInt => 2,
        _ => 1,
    }
}

/// Parts in one stripe.
///
/// Sixty four thousand rows is the smallest stripe that keeps the ClickBench directory in single
/// digit megabytes at a hundred million rows, and it puts a four byte column's page at a quarter of
/// a megabyte, which is the size a sequential read wants. Larger stripes buy a smaller directory
/// and cost a sparse fetch, which has to read a page index before it can reach one part.
pub const STRIPE_PARTS: usize = 64;

/// Bytes one part takes in a stripe's index page: four for the length, eight for the checksum.
const INDEX_ENTRY: usize = size_of::<u32>() + size_of::<u64>();

/// Bytes one column's section of a stripe's index page takes, including its own trailing checksum.
fn index_section(parts: usize) -> Result<usize> {
    parts
        .checked_mul(INDEX_ENTRY)
        .and_then(|bytes| bytes.checked_add(size_of::<u64>()))
        .ok_or_else(|| invalid("index page length overflow"))
}

impl Writer {
    /// Creates a new v10 file and its first table.
    ///
    /// # Errors
    ///
    /// If the file exists, a field has no scalar encoding, or the path cannot be written.
    pub fn create(
        path: impl AsRef<Path>,
        name: impl Into<String>,
        fields: Vec<Field>,
    ) -> Result<Self> {
        for field in &fields {
            type_tag(&field.ty)?;
        }
        let file =
            OpenOptions::new().write(true).read(true).create_new(true).open(path).map_err(io)?;
        let mut header = [0; HEADER as usize];
        header[..8].copy_from_slice(MAGIC);
        header[8..12].copy_from_slice(&FORMAT.to_le_bytes());
        write_at(&file, 0, &header)?;
        Ok(Self {
            file,
            at: HEADER,
            dictionaries: fields
                .iter()
                .map(|field| (field.ty == LogicalType::Varchar).then(GlobalDictionary::new))
                .collect(),
            table: Table {
                name: name.into(),
                dictionaries: vec![None; fields.len()],
                fields,
                stripes: Vec::new(),
                rows: 0,
                frequencies: Vec::new(),
            },
            generation: 1,
            order: Vec::new(),
            next_order: 0,
            pending: Vec::with_capacity(STRIPE_PARTS),
        })
    }

    /// Appends bytes at the end of the file and moves the writer's own offset past them.
    ///
    /// Every write in here goes through this, so that [`Writer::at`] is the only answer to where
    /// anything is and the file's cursor is never consulted for it.
    fn put(&mut self, bytes: &[u8]) -> Result<()> {
        write_at(&self.file, self.at, bytes)?;
        self.at = self
            .at
            .checked_add(bytes.len() as u64)
            .ok_or_else(|| invalid("native file length overflow"))?;
        Ok(())
    }

    /// Writes one chunk as independently readable column pages.
    ///
    /// # Errors
    ///
    /// If its width or types differ from the declared table, or a page exceeds its bound.
    pub fn append(&mut self, chunk: &Chunk) -> Result<()> {
        let order = (self.next_order, 0);
        self.next_order = self.next_order.saturating_add(1);
        self.append_at(order, chunk)
    }

    /// Writes one chunk and records its source position for directory ordering.
    ///
    /// Pages may be encoded by parallel pipeline instances and reach the file in completion order.
    /// The stripe they land in is sorted by this key at commit, and [`Self::finish`] rejects a
    /// sequence whose parts do not come out in source order once the stripes are sorted, because a
    /// stripe groups whatever arrived together and cannot put a late part back where it belongs.
    ///
    /// # Errors
    ///
    /// The same as [`Self::append`].
    pub fn append_at(&mut self, order: (u64, u64), chunk: &Chunk) -> Result<()> {
        if chunk.is_empty() {
            return Ok(());
        }
        self.admit(chunk)?;
        if self.pending.last().is_some_and(|last| last.order > order) {
            self.flush_pending()?;
        }
        // Cloned rather than encoded, and a clone of a chunk that owns its buffers is a copy of
        // them. Sixty four parts of a hundred and five columns is tens of megabytes held for the
        // length of a stripe and a few seconds of memory traffic over a whole ClickBench load,
        // against the hundreds of seconds of encode this is what lets off one thread.
        self.pending.push(PendingChunk { order, chunk: chunk.clone() });
        if self.pending.len() == STRIPE_PARTS {
            self.flush_pending()?;
        }
        Ok(())
    }

    /// Writes a run of chunks as one stripe of its own.
    ///
    /// [`Self::append_at`] decides where a stripe ends by watching the orders go past, which works
    /// when one caller hands over every chunk in source order and does not when several do. A
    /// writer being fed by more than one pipeline instance sees the orders interleave, and a stripe
    /// that ends every time two of them cross is a stripe of one or two parts.
    ///
    /// So the grouping moves to the caller. Whoever is buffering hands over a run it already knows
    /// is contiguous and in order, and gets a stripe holding exactly that run. The orders still
    /// have to come out in source order once the stripes are sorted, which [`Self::finish`] checks,
    /// so the runs from different callers may interleave with each other but may not overlap.
    ///
    /// # Errors
    ///
    /// The same as [`Self::append`], and if the run is longer than [`STRIPE_PARTS`].
    pub fn append_stripe(&mut self, parts: Vec<((u64, u64), Chunk)>) -> Result<()> {
        if parts.len() > STRIPE_PARTS {
            return Err(invalid("a stripe was handed more parts than it holds"));
        }
        // Whatever an earlier caller left behind is its own stripe rather than the front of this
        // one, because the two runs are from different places in the source and a stripe is a run.
        self.flush_pending()?;
        for (order, chunk) in parts {
            if chunk.is_empty() {
                continue;
            }
            self.admit(&chunk)?;
            self.pending.push(PendingChunk { order, chunk });
        }
        self.flush_pending()
    }

    /// Checks a chunk against the declared table and counts its rows in.
    fn admit(&mut self, chunk: &Chunk) -> Result<()> {
        if chunk.width() != self.table.fields.len() {
            return Err(invalid("chunk width differs from table schema"));
        }
        for (index, field) in self.table.fields.iter().enumerate() {
            if chunk.column(index)?.logical_type() != &field.ty {
                return Err(invalid("chunk type differs from table schema"));
            }
        }
        self.table.rows = self
            .table
            .rows
            .checked_add(chunk.len())
            .ok_or_else(|| invalid("row count overflow"))?;
        Ok(())
    }

    /// Encodes one column's parts of a stripe, with the column's dictionary to itself.
    ///
    /// Nothing here is shared with another column. The dictionary belongs to this one, the sieve
    /// reads only this one, and the page bytes go in a vector of this one's own. That is why the
    /// fan out below can hand a whole column to a thread and take a plain `&mut` on the dictionary
    /// rather than making it something several threads can grow at once, which is the harder half
    /// of #808 and is still open.
    fn encode_column(
        index: usize,
        held: &[PendingChunk],
        mut dictionary: Option<&mut GlobalDictionary>,
    ) -> Result<ColumnStripe> {
        let mut stripe = ColumnStripe {
            pages: Vec::with_capacity(held.len()),
            codes: Vec::with_capacity(held.len()),
            sieves: Vec::with_capacity(held.len()),
            ranges: Vec::with_capacity(held.len()),
        };
        for pending in held {
            let column = pending.chunk.column(index)?;
            let (bytes, unique) = encode(column, dictionary.as_deref_mut())?;
            if bytes.len() > MAX_PAGE {
                return Err(invalid("column page exceeds the configured bound"));
            }
            // The range is built first because the sieve reads it rather than walking the column a
            // second time to find out how wide it is.
            let range = Range::of(column);
            // A column with a global dictionary already has an exact membership index per stripe,
            // so an approximate one beside it would cost a hash of every string in the table to
            // answer a question that is already answered. What it would buy is the finer grain, a
            // part rather than a stripe, and that is worth coming back for on its own.
            //
            // A sieve at least as large as the part it indexes is not written. A reader reads the
            // sieve to decide whether to read the part, so when the sieve is the larger of the two
            // it has already spent more than the read it is trying to avoid, and that holds even if
            // it rejects every time. It is a necessary condition rather than the whole rule, which
            // is that a sieve pays when its bytes are under the rejection rate times the part's,
            // but the rejection rate depends on what a query probes for and the writer does not
            // know that. The necessary half needs two numbers that are both in hand here.
            let sieve = match dictionary {
                Some(_) => None,
                None => Sieve::of(column, &range, SIEVE_BUDGET)
                    .filter(|sieve| sieve.len() < bytes.len()),
            };
            stripe.pages.push(bytes);
            stripe.codes.push(unique);
            stripe.sieves.push(sieve);
            stripe.ranges.push(range);
        }
        Ok(stripe)
    }

    /// Encodes a whole stripe, one column to a worker.
    ///
    /// The columns are handed out through a queue rather than dealt in equal piles, because they
    /// are nothing like equal: `URL` on ClickBench is a global dictionary of sixty one million
    /// strings and `IsMobile` is a byte. A pile that happened to hold the four large string columns
    /// would be the whole stripe and the other workers would be waiting on it. The queue is sorted
    /// so the expensive ones are taken first, which is the classic answer to a last job that runs
    /// longer than everything after it.
    fn encode_columns(&mut self, held: &[PendingChunk]) -> Result<Vec<ColumnStripe>> {
        let width = self.table.fields.len();
        let workers = std::thread::available_parallelism()
            .map_or(1, usize::from)
            .min(MAX_ENCODE_WORKERS)
            .min(width);
        if workers <= 1 || held.len() <= 1 {
            return self
                .dictionaries
                .iter_mut()
                .enumerate()
                .map(|(index, dictionary)| Self::encode_column(index, held, dictionary.as_mut()))
                .collect();
        }
        // The dictionaries are moved out and back rather than borrowed, because a worker that takes
        // the next column off a queue cannot be holding a borrow of the vector the queue came from.
        let mut jobs: Vec<(usize, Option<GlobalDictionary>)> =
            std::mem::take(&mut self.dictionaries).into_iter().enumerate().collect();
        // Popped from the back, so the expensive columns go last in the vector.
        jobs.sort_by_key(|(index, _)| weight(&self.table.fields[*index].ty));
        let queue = Mutex::new(jobs);
        let pieces = std::thread::scope(|scope| {
            (0..workers)
                .map(|_| {
                    scope.spawn(|| {
                        let mut mine = Vec::new();
                        loop {
                            let taken = queue
                                .lock()
                                .map_err(|_| Error::internal("a native encode worker panicked"))?
                                .pop();
                            let Some((index, mut dictionary)) = taken else { break };
                            let encoded = Self::encode_column(index, held, dictionary.as_mut())?;
                            mine.push((index, dictionary, encoded));
                        }
                        Ok(mine)
                    })
                })
                .collect::<Vec<_>>()
                .into_iter()
                .map(|handle| {
                    handle.join().map_err(|_| Error::internal("a native encode worker panicked"))?
                })
                .collect::<Result<Vec<_>>>()
        })?;
        let mut dictionaries: Vec<Option<GlobalDictionary>> = (0..width).map(|_| None).collect();
        let mut encoded: Vec<Option<ColumnStripe>> = (0..width).map(|_| None).collect();
        for piece in pieces {
            for (index, dictionary, stripe) in piece {
                dictionaries[index] = dictionary;
                encoded[index] = Some(stripe);
            }
        }
        self.dictionaries = dictionaries;
        encoded
            .into_iter()
            .map(|stripe| stripe.ok_or_else(|| Error::internal("a column was never encoded")))
            .collect()
    }

    /// Writes the buffered parts as one stripe, each column's parts contiguous on disk.
    fn flush_pending(&mut self) -> Result<()> {
        if self.pending.is_empty() {
            return Ok(());
        }
        let width = self.table.fields.len();
        // Held here rather than read off the writer, because writing a page needs the writer and
        // the borrow checker is right that those are two different uses of it.
        let mut held = std::mem::take(&mut self.pending);
        let parts = held.len();
        let encoded = self.encode_columns(&held)?;
        let mut pages = Vec::with_capacity(width);
        let mut memberships = vec![None; width];
        let mut ranges = Vec::with_capacity(width);
        let mut index = Vec::with_capacity(width.saturating_mul(index_section(parts)?));
        for stripe in &encoded {
            let offset = self.at;
            let section = index.len();
            let mut length = 0_usize;
            for bytes in &stripe.pages {
                write_at(&self.file, self.at + length as u64, bytes)?;
                put_u32(
                    &mut index,
                    u32::try_from(bytes.len()).map_err(|_| invalid("part length overflow"))?,
                );
                put_u64(&mut index, checksum(bytes));
                length = length
                    .checked_add(bytes.len())
                    .ok_or_else(|| invalid("column page length overflow"))?;
            }
            let hash = checksum(&index[section..]);
            put_u64(&mut index, hash);
            if length > MAX_PAGE {
                return Err(invalid("column page exceeds the configured bound"));
            }
            self.at = self
                .at
                .checked_add(length as u64)
                .ok_or_else(|| invalid("native file length overflow"))?;
            pages.push(Span {
                offset,
                length: u32::try_from(length).map_err(|_| invalid("page length overflow"))?,
            });
            ranges.push(merged_range(stripe.ranges.iter().cloned()));
        }
        for (membership, stripe) in memberships.iter_mut().zip(&encoded) {
            if stripe.codes.iter().all(Option::is_none) {
                continue;
            }
            let lists = stripe
                .codes
                .iter()
                .map(|codes| codes.clone().unwrap_or_default())
                .collect::<Vec<_>>();
            let bytes = encode_membership(&merged_codes(lists));
            let offset = self.at;
            self.put(&bytes)?;
            *membership = Some(Page {
                offset,
                length: u32::try_from(bytes.len())
                    .map_err(|_| invalid("membership page length overflow"))?,
                hash: checksum(&bytes),
            });
        }
        let mut sieves = vec![None; width];
        for (page, stripe) in sieves.iter_mut().zip(&encoded) {
            if stripe.sieves.iter().all(Option::is_none) {
                continue;
            }
            let bytes = encode_sieves(stripe.sieves.iter())?;
            let offset = self.at;
            self.put(&bytes)?;
            *page = Some(Page {
                offset,
                length: u32::try_from(bytes.len())
                    .map_err(|_| invalid("sieve page length overflow"))?,
                hash: checksum(&bytes),
            });
        }
        let offset = self.at;
        self.put(&index)?;
        let index = Span {
            offset,
            length: u32::try_from(index.len())
                .map_err(|_| invalid("index page length overflow"))?,
        };
        let mut rows = 0_usize;
        let mut lengths = Vec::with_capacity(parts);
        let mut span = None;
        for pending in held.drain(..) {
            let part = pending.chunk.len();
            rows = rows.checked_add(part).ok_or_else(|| invalid("row count overflow"))?;
            lengths.push(u32::try_from(part).map_err(|_| invalid("part row count overflow"))?);
            span = Some(
                span.map_or((pending.order, pending.order), |(first, _)| (first, pending.order)),
            );
        }
        self.order.push(span.ok_or_else(|| invalid("a stripe was flushed with no parts"))?);
        self.table.stripes.push(Stripe {
            rows,
            parts: lengths,
            index,
            pages,
            memberships,
            sieves,
            zone: Zone::from_ranges(ranges),
        });
        // Back where it came from, empty, so the next stripe buffers into the same allocation.
        self.pending = held;
        Ok(())
    }

    /// Finds exact heavy hitters without keeping a hash table for every numeric column while the
    /// load is live. The pages are already in the target file, so one column at a time uses a
    /// bounded Misra-Gries candidate table and then recounts only those candidates.
    fn numeric_frequency(&self, column: usize) -> Result<Option<FrequencySummary>> {
        let ty = &self.table.fields[column].ty;
        if !matches!(
            ty,
            LogicalType::TinyInt
                | LogicalType::SmallInt
                | LogicalType::Integer
                | LogicalType::BigInt
                | LogicalType::UTinyInt
                | LogicalType::USmallInt
                | LogicalType::UInteger
                | LogicalType::UBigInt
                | LogicalType::Date
                | LogicalType::Timestamp
        ) {
            return Ok(None);
        }
        let mut candidates: HashMap<FrequencyValue, u32> = HashMap::new();
        let mut decrements = 0_u64;
        self.visit_numeric(column, |_, value| {
            if let Some(count) = candidates.get_mut(&value) {
                *count = count.saturating_add(1);
            } else if candidates.len() < FREQUENCY_CANDIDATES {
                candidates.insert(value, 1);
            } else {
                candidates.retain(|_, count| {
                    *count -= 1;
                    *count != 0
                });
                decrements = decrements.saturating_add(1);
            }
        })?;
        let (exact, ordinals) = if decrements == 0 {
            (
                candidates
                    .into_iter()
                    .map(|(value, count)| (value, u64::from(count)))
                    .collect::<HashMap<_, _>>(),
                Vec::new(),
            )
        } else {
            let mut lower = candidates.values().copied().collect::<Vec<_>>();
            lower.sort_unstable_by(|left, right| right.cmp(left));
            if lower.len() < FREQUENCY_BUILD_RANK
                || u64::from(lower[FREQUENCY_BUILD_RANK - 1]) <= decrements
            {
                return Ok(None);
            }
            let mut exact =
                candidates.into_keys().map(|value| (value, 0_u64)).collect::<HashMap<_, _>>();
            let mut ordinals = Vec::new();
            let mut exceeded = false;
            self.visit_numeric(column, |ordinal, value| {
                if let Some(count) = exact.get_mut(&value) {
                    *count = count.saturating_add(1);
                    if !exceeded {
                        if ordinals.len() < FREQUENCY_ORDINALS {
                            ordinals.push(ordinal);
                        } else {
                            ordinals.clear();
                            exceeded = true;
                        }
                    }
                }
            })?;
            (exact, ordinals)
        };
        let mut entries = exact
            .into_iter()
            .map(|(value, count)| FrequencyEntry { value, count })
            .collect::<Vec<_>>();
        entries.sort_unstable_by(|left, right| {
            right.count.cmp(&left.count).then_with(|| frequency_order(left.value, right.value))
        });
        let omitted_max =
            entries.get(FREQUENCY_ENTRIES).map_or(decrements, |entry| decrements.max(entry.count));
        entries.truncate(FREQUENCY_ENTRIES);
        Ok(Some(FrequencySummary { entries, omitted_max, ordinals }))
    }

    fn visit_numeric(
        &self,
        column: usize,
        mut visit: impl FnMut(u64, FrequencyValue),
    ) -> Result<()> {
        let ty = &self.table.fields[column].ty;
        let mut start = 0_u64;
        for stripe in &self.table.stripes {
            let spans = read_index(&self.file, stripe, column)?;
            let page = stripe.pages[column];
            let mut bytes = vec![0; page.length as usize];
            read_at(&self.file, page.offset, &mut bytes)?;
            for (span, &rows) in spans.iter().zip(&stripe.parts) {
                let part = part_bytes(&bytes, *span)?;
                if checksum(part) != span.hash {
                    return Err(invalid("column page checksum differs while building frequencies"));
                }
                let rows = rows as usize;
                let vector = decode(ty, rows, part, None)?;
                // row at a time: frequency construction visits decoded values to update bounded candidates.
                for row in 0..rows {
                    let value = if vector.is_null_at(row) {
                        FrequencyValue::Null
                    } else {
                        // An unsigned column has no signed reading, and the documented fallback is
                        // the value itself. Every unsigned width the format stores fits in the
                        // `i128` a candidate is keyed by, so nothing is lost on the way through.
                        let widened = match vector.signed_at(row) {
                            Some(value) => Some(value),
                            None => match vector.value_at(row) {
                                Value::UTinyInt(value) => Some(i128::from(value)),
                                Value::USmallInt(value) => Some(i128::from(value)),
                                Value::UInteger(value) => Some(i128::from(value)),
                                Value::UBigInt(value) => Some(i128::from(value)),
                                _ => None,
                            },
                        };
                        FrequencyValue::Integer(widened.ok_or_else(|| {
                            invalid("numeric frequency page did not contain an integer value")
                        })?)
                    };
                    visit(start.saturating_add(row as u64), value);
                }
                start = start.saturating_add(rows as u64);
            }
        }
        Ok(())
    }

    /// Builds independent numeric synopses concurrently after all column pages are committed.
    ///
    /// The columns go through a queue rather than being cut into equal runs, because they are not
    /// equally expensive and they are not shuffled. A `BIGINT` column carries eight times the bytes
    /// of a `TINYINT` through the decode, and a run of them sits together in a schema the way it
    /// sits together in `hits`, so a worker that was handed the wrong six columns finishes long
    /// after one that was handed the right six and the whole phase waits for it.
    fn numeric_frequencies(&self) -> Result<Vec<Option<FrequencySummary>>> {
        let mut columns = self
            .table
            .fields
            .iter()
            .enumerate()
            .filter_map(|(column, field)| {
                matches!(
                    field.ty,
                    LogicalType::TinyInt
                        | LogicalType::SmallInt
                        | LogicalType::Integer
                        | LogicalType::BigInt
                        | LogicalType::UTinyInt
                        | LogicalType::USmallInt
                        | LogicalType::UInteger
                        | LogicalType::UBigInt
                        | LogicalType::Date
                        | LogicalType::Timestamp
                )
                .then_some(column)
            })
            .collect::<Vec<_>>();
        let workers = std::thread::available_parallelism()
            .map_or(1, usize::from)
            .min(MAX_FREQUENCY_WORKERS)
            .min(columns.len());
        if workers <= 1 {
            let mut frequencies = vec![None; self.table.fields.len()];
            for column in columns {
                frequencies[column] = self.numeric_frequency(column)?;
            }
            return Ok(frequencies);
        }
        // Popped from the back, so the expensive columns are the ones taken first and the cheap ones
        // are what is left to fill in behind them.
        columns.sort_by_key(|&column| weight(&self.table.fields[column].ty));
        let queue = Mutex::new(columns);
        let pieces = std::thread::scope(|scope| {
            (0..workers)
                .map(|_| {
                    scope.spawn(|| {
                        let mut mine = Vec::new();
                        loop {
                            let taken = queue
                                .lock()
                                .map_err(|_| Error::internal("a native frequency worker panicked"))?
                                .pop();
                            let Some(column) = taken else { break };
                            mine.push((column, self.numeric_frequency(column)?));
                        }
                        Ok(mine)
                    })
                })
                .collect::<Vec<_>>()
                .into_iter()
                .map(|handle| {
                    handle
                        .join()
                        .map_err(|_| Error::internal("a native frequency worker panicked"))?
                })
                .collect::<Result<Vec<_>>>()
        })?;
        let mut frequencies = vec![None; self.table.fields.len()];
        for piece in pieces {
            for (column, summary) in piece {
                frequencies[column] = summary;
            }
        }
        Ok(frequencies)
    }

    /// Commits the directory and syncs the file before publishing its header slot.
    ///
    /// # Errors
    ///
    /// If directory encoding, writing, or syncing fails.
    pub fn finish(mut self) -> Result<Table> {
        self.flush_pending()?;
        let mut stripes = std::mem::take(&mut self.order)
            .into_iter()
            .zip(std::mem::take(&mut self.table.stripes))
            .collect::<Vec<_>>();
        stripes.sort_by_key(|(order, _)| order.0);
        let mut previous: Option<(u64, u64)> = None;
        for ((first, last), _) in &stripes {
            if previous.is_some_and(|previous| previous >= *first) {
                return Err(invalid("chunks did not arrive in source order"));
            }
            previous = Some(*last);
        }
        self.table.stripes = stripes.into_iter().map(|(_, stripe)| stripe).collect();
        self.table.frequencies = self.numeric_frequencies()?;
        let dictionaries = std::mem::take(&mut self.dictionaries);
        let orders = rankings(&dictionaries)?;
        for (index, (dictionary, order)) in dictionaries.into_iter().zip(orders).enumerate() {
            let Some(dictionary) = dictionary else { continue };
            self.table.frequencies[index] = Some(code_frequency(&dictionary));
            let encoded = encode_global_dictionary(dictionary, &order)?;
            let offset = self.at;
            self.put(&encoded.index)?;
            self.put(&encoded.ranks)?;
            for block in &encoded.payload {
                self.put(block)?;
            }
            let payload_len =
                encoded.payload.iter().try_fold(0_usize, |len, block| len.checked_add(block.len()));
            let length = payload_len
                .and_then(|len| len.checked_add(encoded.index.len()))
                .and_then(|len| len.checked_add(encoded.ranks.len()))
                .ok_or_else(|| invalid("dictionary page length overflow"))?;
            self.table.dictionaries[index] = Some(Page {
                offset,
                length: u32::try_from(length)
                    .map_err(|_| invalid("dictionary page length overflow"))?,
                hash: checksum(&encoded.index),
            });
        }
        let directory = encode_directory(&self.table)?;
        if directory.len() > MAX_DIRECTORY {
            return Err(invalid("directory exceeds the configured bound"));
        }
        let offset = self.at;
        self.put(&directory)?;
        self.file.sync_all().map_err(io)?;
        let slot = Slot {
            offset,
            length: u32::try_from(directory.len())
                .map_err(|_| invalid("directory length overflow"))?,
            generation: self.generation,
            hash: checksum(&directory),
        };
        // The one write that is not an append, and the last one. It goes back over the slot in the
        // header, so it names its offset rather than going through `put`, and `at` does not move.
        write_at(&self.file, 16, &slot.bytes())?;
        self.file.sync_all().map_err(io)?;
        Ok(self.table)
    }
}

/// Reads committed native column pages without holding the table in memory.
#[derive(Debug, Clone)]
pub struct Reader {
    file: Arc<File>,
    table: Arc<Table>,
    dictionaries: Arc<Vec<OnceLock<Arc<Vector>>>>,
    /// Held while a global dictionary is being opened, one per column.
    ///
    /// The [`OnceLock`] above says whether one has been opened, which is the question a reader that
    /// already has it needs answered and is free. It does not say whether one is being opened, and
    /// the difference matters because every worker of a scan wants the same dictionary at the same
    /// moment. Without this they all miss, all read the page, all verify it and all decode it, and
    /// all but one throw the answer away. ClickBench 38 reads the URL dictionary, which is 515,958
    /// entries, and was paying for it twice.
    loading: Arc<Vec<Mutex<()>>>,
    /// How many global dictionaries have been opened. A scan of a dictionary column should open its
    /// dictionary once however many workers it has, and the test that says so is the only thing
    /// keeping it that way.
    opened: Arc<AtomicUsize>,
    /// The membership sieves of one stripe of one column, by column and then by stripe, read the
    /// first time a probe asks about them. A query filters on one or two columns and never looks at
    /// the rest, so reading these at open would be the whole index for the sake of a fraction of it.
    sieves: Arc<Vec<Vec<SieveSlot>>>,
    /// Which stripe and which part of it every part of the table is, by table wide part number.
    places: Arc<Vec<Place>>,
    cache: Arc<Vec<Mutex<Cached>>>,
    /// How many whole stripe pages have been read, which is what the sharing above is judged on. A
    /// scan of a column should read each of its stripes once however many workers it has.
    pages: Arc<AtomicUsize>,
    /// How many index sections have been read. A scan of a column should read each of its stripes
    /// once here too, and the test that says so is the only thing keeping it that way.
    indexes: Arc<AtomicUsize>,
    /// How many stripes of one column the page cache keeps. See [`CACHED_STRIPES_PER_COLUMN`] for
    /// what sets it and [`Reader::keep_stripes`] for who raises it.
    kept: Arc<AtomicUsize>,
    /// The file's size when it was opened, for [`Reader::layout`].
    size: u64,
    /// The committed directory's size, for [`Reader::layout`].
    directory: u64,
    /// What opening the file cost, which is a number rather than a claim.
    opening: Opening,
}

/// What [`Reader::open`] read before it returned.
///
/// `spec/stats/04-in-memory.md` section 4.2 says opening a table reads the header and the directory
/// and nothing else, and once that document's statistics are in the file the tempting change is to
/// load a column summary or two on the way past, because they are small and the next query will
/// want them. A hundred milliseconds of that is a hundred milliseconds nobody asked for, and an
/// embedded database is opened by processes that are about to run one trivial query.
///
/// So the claim gets a number. Both of these are fixed by the schema and the stripe count and are
/// independent of how many rows the file holds, and the test that says so is what stops the
/// tempting change from landing quietly.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub struct Opening {
    /// How many times the file was read. The header, then each directory slot that looked valid
    /// enough to check, so three at the most.
    pub reads: u32,
    /// How many bytes those reads asked for.
    pub bytes: u64,
}

/// What a reader has read, while it was being opened and since.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub struct Reads {
    /// What opening cost, before any query had been planned.
    pub opening: Opening,
    /// Whole stripe pages read since.
    pub pages: usize,
    /// Index sections read since.
    pub indexes: usize,
    /// Global dictionaries opened since. One per dictionary column that a query touched, however
    /// many workers touched it, which is a claim only a test can keep true.
    pub dictionaries: usize,
}

/// Where one table wide part number lands.
#[derive(Debug, Clone, Copy)]
struct Place {
    stripe: u32,
    part: u32,
    rows: u32,
}

/// One part's bytes inside one column page.
#[derive(Debug, Clone, Copy)]
struct PartSpan {
    start: usize,
    length: usize,
    hash: u64,
}

/// What a reader holds for one stripe of one column.
///
/// The index is small and is loaded whether the caller wants the whole page or one part of it. The
/// page is loaded only by a scan, because a sparse fetch that wants a thousand rows out of sixty
/// four thousand would be reading sixty four times what it uses.
#[derive(Debug, Clone)]
struct CachedColumn {
    stripe: usize,
    index: Arc<Vec<PartSpan>>,
    page: Option<Arc<Vec<u8>>>,
}

/// One column's stripes a reader holds, and which of them somebody is reading right now.
///
/// The pages are one slot per stripe of the table rather than a list of the ones being kept, so
/// finding a page is an index and not a walk. That matters because the walk happened under the
/// lock, once per part per column, and a scan that gives a whole stripe to each of thirty two
/// workers keeps enough pages that walking them was the longest thing the lock was held for. The
/// slots cost a pointer per stripe per column, which on the ClickBench file is eight kilobytes
/// against the forty megabytes of pages they point at. `order` is which of them are filled, oldest
/// first, because that is the one thing the slots cannot say by themselves.
///
/// `loading` is what keeps a scan from reading the same page once per worker. It is a list and not
/// a set because it holds at most one stripe per worker on the column and is walked far less often
/// than a hash of it would be built.
///
/// `index` is every index this reader has ever read for the column, one slot per stripe, and it is
/// never evicted. An index is a few hundred bytes and a page is a quarter of a megabyte, so the two
/// do not belong under the same budget. Riding in the page cache meant a worker that came back to a
/// stripe after its page had been evicted read the index again with it, which on the full
/// ClickBench file was about thirteen hundred reads out of a hundred and fourteen thousand.
#[derive(Debug, Default)]
struct Cached {
    pages: Vec<Option<Arc<Vec<u8>>>>,
    order: VecDeque<usize>,
    loading: Vec<usize>,
    index: Vec<Option<Arc<Vec<PartSpan>>>>,
}

/// Stripes of one column a reader keeps the bytes of, when nobody has asked for more.
///
/// This has to hold at least as many stripes as a column has workers in it at once, or the workers
/// evict each other's pages and read them again. Four is what a scan that hands parts out in order
/// needs, because then every worker is within a few parts of every other and at most a couple of
/// stripes are open at a time. A scan that hands a whole stripe to each worker has one stripe open
/// per worker for the length of that stripe, and it says so with [`Reader::keep_stripes`] rather
/// than paying for sixteen slots on every table that is read one part at a time.
///
/// It multiplies by the page size, which is a quarter of a megabyte for a four byte column, and by
/// the number of columns a query touches.
const CACHED_STRIPES_PER_COLUMN: usize = 4;

/// The sieves of one stripe of one column, once somebody has asked for them.
type SieveSlot = OnceLock<Arc<Vec<Option<Sieve>>>>;

#[derive(Debug)]
struct NativeText {
    file: Arc<File>,
    offsets: Vec<u32>,
    /// How many entries the sorted order has, which is the value count.
    ranks: usize,
    /// Where the sorted order starts in the file. It is read a block at a time and only when
    /// something searches it, so a query that never compares this column against a literal never
    /// touches it at all.
    rank_at: u64,
    rank_hashes: Vec<u64>,
    rank_blocks: Vec<OnceLock<Result<Vec<u8>>>>,
    /// The sorted order turned round, built the first time a reader asks for it.
    ///
    /// Four bytes per value against the four the offsets already hold, so a column that has this is
    /// carrying half again what it carried before rather than something of a new order. It is built
    /// only when something asks, which is a grouped min or max over this column and nothing else,
    /// and that reader was going to read the payload of this column once per row otherwise.
    code_ranks: OnceLock<Option<Vec<u32>>>,
    payload: u64,
    /// Where each block of the payload ends in the file, as a byte offset from `payload`. The
    /// blocks are stored back to back, so a block starts where the one before it ended.
    ends: Vec<u64>,
    hashes: Vec<u64>,
    /// The payload, read and decoded a block at a time and kept after that.
    blocks: Vec<OnceLock<Result<Vec<u8>>>>,
}

/// How many values of a dictionary go in one block of the payload.
///
/// The block is the unit the string cascade encodes, the unit a checksum covers, and the unit a
/// reader has to decode to get at a single value, so it is the one number the payload format turns
/// on. Blocking by values rather than by bytes is what keeps a value out of two blocks at once: the
/// block holding a code is `code / TEXT_PAYLOAD_VALUES` and nothing has to be stitched.
///
/// A probe on the five ClickBench columns that have a dictionary worth the name, written up on
/// #347, measured the ratio and the decode speed at 128, 256, 512, 1,024 and 4,096 values. Both get
/// better all the way up, because front coding and the LZ matcher have more to look back at and
/// because the per chunk setup is spread over more values. What stops it is the point read: a query
/// that wants ten values has to decode ten blocks, so the block is what a lookup costs. At 1,024
/// values a block is between 67 KB and 394 KB decoded across those five columns, and the ratios are
/// 2.3 to 4.5. Going up to 4,096 buys two to six percent more and makes a block as much as 1.5 MB.
/// Going down to 512 gives up five to nine percent.
const TEXT_PAYLOAD_VALUES: usize = 1024;

/// How many entries of a dictionary's sorted order sit in one block that is read and checked as a
/// unit.
///
/// Five hundred and twelve entries is six kilobytes, which is a page and a half. A binary search
/// over half a million entries makes nineteen probes, and the first ten land in ten different
/// blocks while the last nine land in the one block that holds the answer, so the whole search
/// reads about sixty six kilobytes of a two megabyte order. A smaller block would save a little on
/// the early probes and cost a checksum list four times as long. A larger one would read more than
/// it uses on every probe.
const TEXT_RANK_BLOCK: usize = 512;

/// Bytes one entry of the sorted order takes: eight for the head and four for the code.
const RANK_ENTRY: usize = size_of::<u64>() + size_of::<u32>();

impl NativeText {
    /// One block of the payload, read and decoded the first time anything asks for a value in it.
    ///
    /// The bytes handed back are the values of the block laid end to end, which is what the offsets
    /// describe, so a caller slices it with the offsets it already has. Where the block sits in the
    /// file is the only thing the caller cannot work out for itself, because the stored form is
    /// shorter than the decoded one and by a different amount in every block.
    fn payload_block(&self, block: usize) -> Result<Option<&[u8]>> {
        let Some(slot) = self.blocks.get(block) else { return Ok(None) };
        let bytes = slot
            .get_or_init(|| {
                let start = if block == 0 { 0 } else { self.ends[block - 1] };
                let end = self.ends[block];
                let len = end
                    .checked_sub(start)
                    .ok_or_else(|| invalid("global dictionary block ends before it starts"))?;
                let mut stored = vec![
                    0;
                    usize::try_from(len).map_err(|_| invalid(
                        "global dictionary block does not fit in memory"
                    ))?
                ];
                read_at(&self.file, self.payload + start, &mut stored)?;
                if checksum(&stored) != self.hashes[block] {
                    return Err(invalid("global dictionary payload checksum differs"));
                }
                let first = block * TEXT_PAYLOAD_VALUES;
                let last = (first + TEXT_PAYLOAD_VALUES).min(self.offsets.len() - 1);
                let want = (self.offsets[last] - self.offsets[first]) as usize;
                let values = string::decode_flat(&stored)?;
                if values.len() != last - first {
                    return Err(invalid("global dictionary block holds the wrong value count"));
                }
                let bytes = values.into_bytes();
                if bytes.len() != want {
                    return Err(invalid("global dictionary block decodes to the wrong length"));
                }
                Ok(bytes)
            })
            .as_ref()
            .map_err(Clone::clone)?;
        Ok(Some(bytes.as_slice()))
    }

    /// The block of the sorted order that holds `rank`, and where in it that rank sits.
    ///
    /// The block is read from the file and checked against the hash the index carries for it the
    /// first time anything asks, and kept after that, the same way a payload block is. A search
    /// makes about as many probes as the order has bits, so the whole search reads a handful of
    /// these and never the rest.
    fn rank_parts(&self, rank: usize) -> Result<(&[u8], usize)> {
        let slot = self
            .rank_blocks
            .get(rank / TEXT_RANK_BLOCK)
            .ok_or_else(|| invalid("global dictionary rank is past the order"))?;
        let block = slot
            .get_or_init(|| {
                let first = rank / TEXT_RANK_BLOCK * TEXT_RANK_BLOCK;
                let len = TEXT_RANK_BLOCK.min(self.ranks - first) * RANK_ENTRY;
                let mut bytes = vec![0; len];
                read_at(&self.file, self.rank_at + (first * RANK_ENTRY) as u64, &mut bytes)?;
                if checksum(&bytes)
                    != *self
                        .rank_hashes
                        .get(rank / TEXT_RANK_BLOCK)
                        .ok_or_else(|| invalid("global dictionary rank block has no checksum"))?
                {
                    return Err(invalid("global dictionary rank checksum differs"));
                }
                Ok(bytes)
            })
            .as_ref()
            .map_err(Clone::clone)?;
        Ok((block.as_slice(), rank % TEXT_RANK_BLOCK))
    }

    /// The first eight bytes of the value at `rank`, as the integer a comparison reads.
    fn head_at(&self, rank: usize) -> Result<u64> {
        let (block, within) = self.rank_parts(rank)?;
        let at = within * size_of::<u64>();
        let bytes = block
            .get(at..at + size_of::<u64>())
            .ok_or_else(|| invalid("global dictionary rank block is short of heads"))?;
        Ok(u64::from_le_bytes(bytes.try_into().expect("eight bytes")))
    }
}

impl TextSource for NativeText {
    fn len(&self) -> usize {
        self.offsets.len().saturating_sub(1)
    }

    fn bytes_at(&self, index: usize) -> Result<Option<&[u8]>> {
        let (Some(&start), Some(&end)) = (self.offsets.get(index), self.offsets.get(index + 1))
        else {
            return Ok(None);
        };
        if start == end {
            return Ok(Some(&[]));
        }
        // A block holds a fixed number of values rather than a fixed number of bytes, so the value
        // is in one block and the only arithmetic is where in it.
        let block = index / TEXT_PAYLOAD_VALUES;
        let Some(bytes) = self.payload_block(block)? else { return Ok(None) };
        let base = self.offsets[block * TEXT_PAYLOAD_VALUES];
        let within = (start - base) as usize;
        Ok(bytes.get(within..within + (end - start) as usize))
    }

    fn bytes_len_at(&self, index: usize) -> Result<Option<usize>> {
        let (Some(&start), Some(&end)) = (self.offsets.get(index), self.offsets.get(index + 1))
        else {
            return Ok(None);
        };
        Ok(Some((end - start) as usize))
    }

    fn ranks(&self) -> Option<usize> {
        (self.ranks > 0).then_some(self.ranks)
    }

    fn compare_rank(&self, rank: usize, wanted: &[u8]) -> Result<Ordering> {
        // The head settles the probe unless the two values start with the same eight bytes, and
        // only then is a value read. On a column of URLs that is the difference between a search
        // that touches one block of the payload and a search that touches nineteen of them.
        let settled = self.head_at(rank)?.cmp(&head(wanted));
        if settled != Ordering::Equal {
            return Ok(settled);
        }
        let code = self.code_at_rank(rank)?;
        let bytes = self
            .bytes_at(code as usize)?
            .ok_or_else(|| invalid("global dictionary order names a code it does not have"))?;
        Ok(bytes.cmp(wanted))
    }

    fn code_at_rank(&self, rank: usize) -> Result<u32> {
        let (block, within) = self.rank_parts(rank)?;
        let heads = block.len() / RANK_ENTRY * size_of::<u64>();
        let at = heads + within * size_of::<u32>();
        let bytes = block
            .get(at..at + size_of::<u32>())
            .ok_or_else(|| invalid("global dictionary rank block is short of codes"))?;
        let code = u32::from_le_bytes(bytes.try_into().expect("four bytes"));
        if code as usize >= self.len() {
            return Err(invalid("global dictionary order names a code it does not have"));
        }
        Ok(code)
    }

    fn code_ranks(&self) -> Option<&[u32]> {
        // The order is a permutation of the positions, so inverting it needs every position to be
        // named exactly once. Anything else and the slice would have holes, and a caller indexing
        // it by a code would read a rank that belongs to nothing.
        if self.ranks == 0 || self.ranks != self.len() {
            return None;
        }
        self.code_ranks
            .get_or_init(|| {
                let mut ranks = vec![u32::MAX; self.ranks];
                // A block at a time rather than a rank at a time, because reading it per rank pays
                // for the bounds check, the division and the lock on every one of them.
                for first in (0..self.ranks).step_by(TEXT_RANK_BLOCK) {
                    let (block, _) = self.rank_parts(first).ok()?;
                    let heads = block.len() / RANK_ENTRY * size_of::<u64>();
                    let codes = block.get(heads..)?;
                    for (within, entry) in codes.chunks_exact(size_of::<u32>()).enumerate() {
                        let code = u32::from_le_bytes(entry.try_into().ok()?) as usize;
                        *ranks.get_mut(code)? = u32::try_from(first + within).ok()?;
                    }
                }
                if ranks.contains(&u32::MAX) {
                    return None;
                }
                Some(ranks)
            })
            .as_deref()
    }

    fn footprint(&self) -> usize {
        self.offsets.capacity() * size_of::<u32>()
            + self
                .code_ranks
                .get()
                .and_then(Option::as_ref)
                .map_or(0, |ranks| ranks.capacity() * size_of::<u32>())
            + self.rank_hashes.capacity() * size_of::<u64>()
            + self.rank_blocks.capacity() * size_of::<OnceLock<Result<Vec<u8>>>>()
            + self
                .rank_blocks
                .iter()
                .filter_map(OnceLock::get)
                .filter_map(|result| result.as_ref().ok())
                .map(Vec::capacity)
                .sum::<usize>()
            + self.blocks.capacity() * size_of::<OnceLock<Result<Vec<u8>>>>()
            + self.hashes.capacity() * size_of::<u64>()
            + self.ends.capacity() * size_of::<u64>()
            + self
                .blocks
                .iter()
                .filter_map(OnceLock::get)
                .filter_map(|result| result.as_ref().ok())
                .map(Vec::capacity)
                .sum::<usize>()
    }
}

/// Every table wide part number in order, with the stripe it belongs to.
fn places(table: &Table) -> Result<Vec<Place>> {
    let mut places = Vec::with_capacity(table.stripes.len().saturating_mul(STRIPE_PARTS));
    for (at, stripe) in table.stripes.iter().enumerate() {
        let index = u32::try_from(at).map_err(|_| invalid("too many stripes"))?;
        for (part, &rows) in stripe.parts.iter().enumerate() {
            places.push(Place {
                stripe: index,
                part: u32::try_from(part).map_err(|_| invalid("too many parts in a stripe"))?,
                rows,
            });
        }
    }
    Ok(places)
}

/// Reads one column's section of a stripe's index page.
///
/// The section carries its own checksum, so a reader that wants one column out of a hundred and
/// five preads a few hundred bytes and still knows that what it got is what was written.
fn read_index(file: &File, stripe: &Stripe, column: usize) -> Result<Vec<PartSpan>> {
    let parts = stripe.parts.len();
    let section = index_section(parts)?;
    let at = column.checked_mul(section).ok_or_else(|| invalid("index page offset overflow"))?;
    let end = at.checked_add(section).ok_or_else(|| invalid("index page offset overflow"))?;
    if end > stripe.index.length as usize {
        return Err(invalid("index page is shorter than its columns"));
    }
    let page = stripe.pages.get(column).ok_or_else(|| invalid("stripe page is missing"))?;
    let mut bytes = vec![0; section];
    let offset = stripe
        .index
        .offset
        .checked_add(at as u64)
        .ok_or_else(|| invalid("index page offset overflow"))?;
    read_at(file, offset, &mut bytes)?;
    let entries = section - size_of::<u64>();
    let stored = u64::from_le_bytes(bytes[entries..].try_into().expect("eight bytes"));
    if checksum(&bytes[..entries]) != stored {
        // With where it was read from, because the two ways this fires look identical from the
        // message alone: a file somebody damaged, and a file we wrote to the wrong offset.
        return Err(invalid(&format!(
            "index page section checksum differs, column {column} of {parts} parts at {offset}, \
             wanted {stored:016x} and got {:016x}",
            checksum(&bytes[..entries]),
        )));
    }
    let mut spans = Vec::with_capacity(parts);
    let mut start = 0_usize;
    for part in 0..parts {
        let at = part * INDEX_ENTRY;
        let length = u32::from_le_bytes(bytes[at..at + 4].try_into().expect("four bytes")) as usize;
        let hash = u64::from_le_bytes(bytes[at + 4..at + 12].try_into().expect("eight bytes"));
        spans.push(PartSpan { start, length, hash });
        start = start.checked_add(length).ok_or_else(|| invalid("column page length overflow"))?;
    }
    if start != page.length as usize {
        return Err(invalid("column page length differs from its index"));
    }
    Ok(spans)
}

/// One part's bytes out of a whole column page.
fn part_bytes(page: &[u8], span: PartSpan) -> Result<&[u8]> {
    let end = span.start.checked_add(span.length).ok_or_else(|| invalid("part range overflow"))?;
    page.get(span.start..end).ok_or_else(|| invalid("part exceeds its column page"))
}

/// Puts one stripe of one column in the cache, dropping the stripe that has been there longest.
///
/// The index goes in its own slot and stays. Only the page is under the budget, and `kept` is how
/// many pages that budget is.
fn remember(cached: &mut Cached, held: &CachedColumn, kept: usize) {
    if let Some(slot) = cached.index.get_mut(held.stripe) {
        if slot.is_none() {
            *slot = Some(Arc::clone(&held.index));
        }
    }
    let Some(page) = held.page.clone() else { return };
    let Some(slot) = cached.pages.get_mut(held.stripe) else { return };
    if slot.is_none() {
        cached.order.push_back(held.stripe);
    }
    *slot = Some(page);
    while cached.order.len() > kept.max(1) {
        let Some(oldest) = cached.order.pop_front() else { break };
        if let Some(slot) = cached.pages.get_mut(oldest) {
            *slot = None;
        }
    }
}

impl Reader {
    /// Opens the highest valid directory slot.
    ///
    /// # Errors
    ///
    /// If the file has no valid committed directory or a directory pointer is out of bounds.
    pub fn open(path: impl AsRef<Path>) -> Result<Self> {
        let mut file = File::open(path).map_err(io)?;
        let size = file.metadata().map_err(io)?.len();
        if size < HEADER {
            return Err(invalid("file is shorter than its header"));
        }
        let mut header = [0; HEADER as usize];
        file.read_exact(&mut header).map_err(io)?;
        let mut opening = Opening { reads: 1, bytes: HEADER };
        let version = u32::from_le_bytes([header[8], header[9], header[10], header[11]]);
        // The two halves are worth telling apart. A wrong magic is a file that was never ours and
        // the answer is to look at the path. A wrong version is our own file from another build,
        // and the number this build wants is the only thing that tells the reader whether to
        // rebuild the file or to go back to the binary that wrote it.
        if &header[..8] != MAGIC {
            return Err(invalid("the header does not begin with a rudb native magic"));
        }
        if version != FORMAT {
            return Err(invalid(&format!(
                "the file is format {version} and this build reads format {FORMAT}, so it has to \
                 be written again"
            )));
        }
        let mut selected = None;
        for start in [16, 16 + SLOT_BYTES] {
            let slot = Slot::read(&header[start..start + SLOT_BYTES]);
            if slot.generation == 0 || slot.length == 0 || slot.length as usize > MAX_DIRECTORY {
                continue;
            }
            let Some(end) = slot.offset.checked_add(u64::from(slot.length)) else { continue };
            if slot.offset < HEADER || end > size {
                continue;
            }
            let mut bytes = vec![0; slot.length as usize];
            file.seek(SeekFrom::Start(slot.offset)).map_err(io)?;
            file.read_exact(&mut bytes).map_err(io)?;
            opening.reads += 1;
            opening.bytes += u64::from(slot.length);
            if checksum(&bytes) == slot.hash
                && selected
                    .as_ref()
                    .is_none_or(|(old, _): &(Slot, Vec<u8>)| old.generation < slot.generation)
            {
                selected = Some((slot, bytes));
            }
        }
        let (slot, bytes) =
            selected.ok_or_else(|| invalid("no committed directory slot is valid"))?;
        let table = decode_directory(&bytes, size)?;
        let places = places(&table)?;
        let dictionaries = (0..table.fields.len()).map(|_| OnceLock::new()).collect();
        let table_fields = table.fields.len();
        let stripes = table.stripes.len();
        let cache = (0..table.fields.len())
            .map(|_| {
                Mutex::new(Cached {
                    pages: (0..stripes).map(|_| None).collect(),
                    index: (0..stripes).map(|_| None).collect(),
                    ..Cached::default()
                })
            })
            .collect::<Vec<_>>();
        let sieves = (0..table.fields.len())
            .map(|_| table.stripes.iter().map(|_| OnceLock::new()).collect())
            .collect();
        Ok(Self {
            file: Arc::new(file),
            table: Arc::new(table),
            dictionaries: Arc::new(dictionaries),
            loading: Arc::new((0..table_fields).map(|_| Mutex::new(())).collect()),
            opened: Arc::new(AtomicUsize::new(0)),
            sieves: Arc::new(sieves),
            places: Arc::new(places),
            cache: Arc::new(cache),
            pages: Arc::new(AtomicUsize::new(0)),
            indexes: Arc::new(AtomicUsize::new(0)),
            kept: Arc::new(AtomicUsize::new(CACHED_STRIPES_PER_COLUMN)),
            size,
            directory: u64::from(slot.length),
            opening,
        })
    }

    /// What this reader has read so far, and what opening it cost.
    ///
    /// Public because the claim of `spec/stats/04-in-memory.md` section 4.2 is about this number
    /// and a claim nobody can check is a comment. A caller that wants to know whether opening a
    /// file touched the data asks here, and gets an answer that does not depend on what the page
    /// cache happened to hold.
    #[must_use]
    pub fn reads(&self) -> Reads {
        Reads {
            opening: self.opening,
            pages: self.pages.load(Atomic::Relaxed),
            indexes: self.indexes.load(Atomic::Relaxed),
            dictionaries: self.opened.load(Atomic::Relaxed),
        }
    }

    /// Where the file's bytes went, from the directory alone.
    ///
    /// No page is read, so this costs the same on a 45 GB table as on an empty one. See [`Layout`]
    /// for what is charged where and for why the three things that are not columns stay separate.
    #[must_use]
    pub fn layout(&self) -> Layout {
        let table = &self.table;
        let stripes = table.stripes.as_slice();
        let columns = table
            .fields
            .iter()
            .enumerate()
            .map(|(at, field)| ColumnLayout {
                name: field.name.clone(),
                kind: field.ty.to_string(),
                pages: sum(stripes.iter().map(|stripe| span_bytes(&stripe.pages, at))),
                memberships: sum(stripes.iter().map(|stripe| page_bytes(&stripe.memberships, at))),
                sieves: sum(stripes.iter().map(|stripe| page_bytes(&stripe.sieves, at))),
                dictionary: page_bytes(&table.dictionaries, at),
            })
            .collect();
        Layout {
            file: self.size,
            rows: table.rows,
            stripes: stripes.len(),
            parts: self.places.len(),
            columns,
            indexes: sum(stripes.iter().map(|stripe| u64::from(stripe.index.length))),
            directory: self.directory,
            header: HEADER,
        }
    }

    /// How many parts the table has, which is how many chunks a scan of it reads.
    #[must_use]
    pub fn parts(&self) -> usize {
        self.places.len()
    }

    /// The parts of each stripe, in table wide part numbers.
    ///
    /// A scan that wants one worker to own the page it reads hands work out in these runs. The
    /// stripes are contiguous in part numbering and all but the last hold sixty four parts, but a
    /// stripe can be flushed early when rows arrive out of order, so the runs are read off the
    /// directory rather than worked out from a constant.
    #[must_use]
    pub fn stripe_parts(&self) -> Vec<std::ops::Range<usize>> {
        let mut runs = Vec::with_capacity(self.table.stripes.len());
        let mut start = 0;
        for stripe in &self.table.stripes {
            let end = start + stripe.parts.len();
            runs.push(start..end);
            start = end;
        }
        runs
    }

    /// Asks the page cache to keep `stripes` stripes of every column instead of the default.
    ///
    /// This only ever raises the number. A scan that gives each worker a whole stripe has one page
    /// per column per worker open at once, and a cache smaller than that is worse than no cache at
    /// all: every worker's page is evicted by the others before it has finished its stripe, so it
    /// reads a quarter of a megabyte for every part it takes out of it.
    pub fn keep_stripes(&self, stripes: usize) {
        self.kept.fetch_max(stripes, Atomic::Relaxed);
    }

    /// Rows in one part, or zero when the part number is past the table.
    #[must_use]
    pub fn part_rows(&self, at: usize) -> usize {
        self.places.get(at).map_or(0, |place| place.rows as usize)
    }

    /// The committed table directory.
    #[must_use]
    pub fn table(&self) -> &Table {
        &self.table
    }

    /// Exact leading frequencies when the stored synopsis proves a count-descending prefix.
    ///
    /// The returned list can be longer than `top`. Keeping the stored tail lets a later TopN apply
    /// additional ordering keys without losing a value tied with the requested boundary.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema or a stored value does not fit its declared type.
    pub fn top_frequencies(&self, column: usize, top: usize) -> Result<Option<Vec<(Value, u64)>>> {
        let field = self
            .table
            .fields
            .get(column)
            .ok_or_else(|| invalid("frequency column index out of range"))?;
        let Some(summary) = self.table.frequencies.get(column).and_then(Option::as_ref) else {
            return Ok(None);
        };
        if top == 0 || summary.entries.len() < top {
            return Ok(None);
        }
        let boundary = summary.entries[top - 1].count;
        if boundary <= summary.omitted_max {
            return Ok(None);
        }
        self.decode_frequencies(column, &field.ty, &summary.entries).map(Some)
    }

    /// Every value of one column with the number of rows holding it, when the synopsis is complete.
    ///
    /// The heavy hitter pass keeps a bounded set of candidates and decrements them all when it runs
    /// out of room, so what it usually ends with is the leading values and a bound on everything it
    /// dropped. `omitted_max` of zero says that never happened: no candidate was ever decremented and
    /// the entries did not overflow the stored budget, so the list is every distinct value of the
    /// column with an exact count, and a null counts as a value of its own rather than being skipped.
    ///
    /// That makes a whole class of question answerable without reading a row. How many rows hold a
    /// value, how many do not, and what a `GROUP BY` of that column with a count over it produces are
    /// all in here. It is only ever true of a column with few enough distinct values, which is the
    /// case worth having, because that is exactly the column a grouping or an equality filter would
    /// otherwise walk every row to answer.
    ///
    /// `None` when the column has no synopsis, or has one that dropped anything.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema or a stored value does not fit its declared type.
    pub fn exact_frequencies(&self, column: usize) -> Result<Option<Vec<(Value, u64)>>> {
        let field = self
            .table
            .fields
            .get(column)
            .ok_or_else(|| invalid("frequency column index out of range"))?;
        let Some(summary) = self.table.frequencies.get(column).and_then(Option::as_ref) else {
            return Ok(None);
        };
        if summary.omitted_max > 0 {
            return Ok(None);
        }
        self.decode_frequencies(column, &field.ty, &summary.entries).map(Some)
    }

    /// Turns stored frequency entries into values of the column's own type.
    fn decode_frequencies(
        &self,
        column: usize,
        ty: &LogicalType,
        entries: &[FrequencyEntry],
    ) -> Result<Vec<(Value, u64)>> {
        let dictionary = if *ty == LogicalType::Varchar { self.dictionary(column)? } else { None };
        let mut out = Vec::with_capacity(entries.len());
        for entry in entries {
            let value = match entry.value {
                FrequencyValue::Null => Value::Null,
                FrequencyValue::Integer(value) => match *ty {
                    LogicalType::TinyInt => Value::TinyInt(
                        i8::try_from(value)
                            .map_err(|_| invalid("frequency TINYINT is out of range"))?,
                    ),
                    LogicalType::UTinyInt => Value::UTinyInt(
                        u8::try_from(value)
                            .map_err(|_| invalid("frequency UTINYINT is out of range"))?,
                    ),
                    LogicalType::USmallInt => Value::USmallInt(
                        u16::try_from(value)
                            .map_err(|_| invalid("frequency USMALLINT is out of range"))?,
                    ),
                    LogicalType::UInteger => Value::UInteger(
                        u32::try_from(value)
                            .map_err(|_| invalid("frequency UINTEGER is out of range"))?,
                    ),
                    LogicalType::UBigInt => Value::UBigInt(
                        u64::try_from(value)
                            .map_err(|_| invalid("frequency UBIGINT is out of range"))?,
                    ),
                    LogicalType::SmallInt => Value::SmallInt(
                        i16::try_from(value)
                            .map_err(|_| invalid("frequency SMALLINT is out of range"))?,
                    ),
                    LogicalType::Integer => Value::Integer(
                        i32::try_from(value)
                            .map_err(|_| invalid("frequency INTEGER is out of range"))?,
                    ),
                    LogicalType::BigInt => Value::BigInt(
                        i64::try_from(value)
                            .map_err(|_| invalid("frequency BIGINT is out of range"))?,
                    ),
                    LogicalType::Date => Value::Date(
                        i32::try_from(value)
                            .map_err(|_| invalid("frequency DATE is out of range"))?,
                    ),
                    LogicalType::Timestamp => Value::Timestamp(
                        i64::try_from(value)
                            .map_err(|_| invalid("frequency TIMESTAMP is out of range"))?,
                    ),
                    _ => return Err(invalid("integer frequency belongs to another type")),
                },
                FrequencyValue::Code(code) => dictionary
                    .as_ref()
                    .ok_or_else(|| invalid("frequency code has no dictionary"))?
                    .try_value_at(code as usize)?,
            };
            out.push((value, entry.count));
        }
        Ok(out)
    }

    /// Sparse rows belonging to the bounded numeric frequency candidate set.
    ///
    /// The list is omitted when collecting it would exceed the fixed storage budget. A composite
    /// aggregate may accept a result over these rows only when its requested boundary is strictly
    /// greater than `omitted_max`.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema.
    pub fn frequency_occurrences(&self, column: usize) -> Result<Option<FrequencyOccurrences>> {
        self.table
            .fields
            .get(column)
            .ok_or_else(|| invalid("frequency column index out of range"))?;
        let Some(summary) = self.table.frequencies.get(column).and_then(Option::as_ref) else {
            return Ok(None);
        };
        if summary.ordinals.is_empty() {
            return Ok(None);
        }
        Ok(Some(FrequencyOccurrences {
            omitted_max: summary.omitted_max,
            ordinals: summary.ordinals.clone(),
        }))
    }

    /// How many distinct values one column holds, counting a null as no value.
    ///
    /// A string column of this format is written against one dictionary that covers the whole table.
    /// A code is handed out the first time a value is seen and nothing ever removes one, so the
    /// number of codes is the number of distinct values exactly rather than an estimate. That makes
    /// `COUNT(DISTINCT column)` over a whole table a question the directory already knows the answer
    /// to, and the alternative is a hash table with a row per distinct value built from a pass over
    /// every row.
    ///
    /// `None` for a column the file has no dictionary for, which is every column that is not a
    /// string, and `None` for a column with a null in it. A sketch would answer the first
    /// approximately and SQL asked for the exact number. The second is the placeholder: a null row
    /// is written as the code for the empty string, so a nullable column's dictionary may hold an
    /// empty string that no row of it actually has, and nothing persisted today tells the two cases
    /// apart.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema, or the dictionary page does not read.
    pub fn distinct_values(&self, column: usize) -> Result<Option<u64>> {
        if self.null_count(column)? > 0 {
            return Ok(None);
        }
        Ok(self.dictionary(column)?.map(|dictionary| dictionary.len() as u64))
    }

    /// How many rows of one column are null, added up over the stripes.
    ///
    /// Every stripe records this exactly when it is written, because a null count is not a bound
    /// that is allowed to be wide the way a minimum and a maximum are: a filter that reads one too
    /// many is slow and a `COUNT` that reads one too many is wrong. Adding up a few hundred numbers
    /// already in memory is what makes `COUNT(column)` over a whole table free.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema.
    pub fn null_count(&self, column: usize) -> Result<u64> {
        if column >= self.table.fields.len() {
            return Err(invalid("null count column index out of range"));
        }
        let mut nulls = 0_u64;
        for stripe in &self.table.stripes {
            let range = stripe
                .zone
                .column(column)
                .ok_or_else(|| invalid("stripe zone is narrower than the schema"))?;
            nulls = nulls
                .checked_add(range.nulls as u64)
                .ok_or_else(|| invalid("null count overflow"))?;
        }
        Ok(nulls)
    }

    /// The smallest and the largest value of one string column, from the order beside its values.
    ///
    /// The dictionary holds exactly the values the column holds, so the first and the last of them
    /// in sorted order are the column's minimum and maximum. Two reads of a rank block settle what
    /// otherwise walks a million rows.
    ///
    /// `None` when the column is not a string, when the file was written before version 9 and so has
    /// no order, when the column has no values at all, or when it has a null in it, which is the
    /// placeholder again: the empty string a null is written as would sort ahead of every real
    /// value and be reported as the minimum.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema, or a rank names a code the dictionary does not have.
    pub fn text_extremes(&self, column: usize) -> Result<Option<(Value, Value)>> {
        if self.null_count(column)? > 0 {
            return Ok(None);
        }
        let Some(dictionary) = self.dictionary(column)? else { return Ok(None) };
        let Some(ranks) = dictionary.ranks() else { return Ok(None) };
        if ranks == 0 {
            return Ok(None);
        }
        let low = text_at_rank(&dictionary, 0)?;
        let high = text_at_rank(&dictionary, ranks - 1)?;
        Ok(Some((low, high)))
    }

    /// The smallest and the largest value of one column, when every stripe wrote exact ends.
    ///
    /// A stripe's ends are allowed to be wider than the truth, because a bound that rules out a
    /// chunk that could not match is still correct when it rules out nothing. That is what makes
    /// them cheap to write for a bit packed or a dictionary column, and it is also what stops them
    /// answering a `MIN`. So each stripe says which of the two it wrote, and this answers only when
    /// all of them walked their rows.
    ///
    /// `None` for a column with no ends, for an empty table, and for a column any stripe of which
    /// guessed. Nulls need no special case, because the ends skip them the same way `MIN` does.
    ///
    /// One case is given up on that did not have to be. A stripe merges the ends of its sixty four
    /// parts, and a part with no ends at all erases the merged ones, because a part whose rows are
    /// not covered by the stripe's ends is a stripe that would skip rows it should keep. A part of
    /// nothing but nulls has no rows to cover and so did not need to erase anything, but the merge
    /// cannot tell that part from a part whose layout it could not read. So a column with a chunk
    /// of nothing but nulls in the middle of it goes and reads the rows. That is slow and right,
    /// and the fix is a row count per part rather than anything here.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema.
    pub fn exact_extremes(&self, column: usize) -> Result<Option<(Bound, Bound)>> {
        if column >= self.table.fields.len() {
            return Err(invalid("extremes column index out of range"));
        }
        let mut low: Option<Bound> = None;
        let mut high: Option<Bound> = None;
        for stripe in &self.table.stripes {
            let range = stripe
                .zone
                .column(column)
                .ok_or_else(|| invalid("stripe zone is narrower than the schema"))?;
            if !range.exact {
                return Ok(None);
            }
            // A stripe of nothing but nulls has no ends and says nothing about the column's, which
            // is why this skips it rather than giving up on the whole column. A stripe that has
            // rows and still has no end is a layout whose values this cannot see, and skipping that
            // one would answer with an end taken from the other stripes, so it gives up instead.
            let (Some(small), Some(large)) = (range.low.as_ref(), range.high.as_ref()) else {
                if stripe.rows > range.nulls {
                    return Ok(None);
                }
                continue;
            };
            low = Some(low.map_or_else(|| small.clone(), |held| held.smaller(small.clone())));
            high = Some(high.map_or_else(|| large.clone(), |held| held.larger(large.clone())));
        }
        Ok(low.zip(high))
    }

    /// The sum of one integer column and how many rows went into it, when every stripe wrote one.
    ///
    /// The count beside the sum is the non-null rows, because that is what a `SUM` adds up and what
    /// an `AVG` divides by, and a caller that had to work it out from the row count and the null
    /// count would be doing the same walk twice.
    ///
    /// `None` for anything that is not an integer column, for a file written by something that did
    /// not record it, and when adding the stripes together would overflow.
    ///
    /// # Errors
    ///
    /// If the column is outside the schema.
    pub fn exact_sum(&self, column: usize) -> Result<Option<(i128, u64)>> {
        if column >= self.table.fields.len() {
            return Err(invalid("sum column index out of range"));
        }
        let mut total = 0_i128;
        let mut rows = 0_u64;
        for stripe in &self.table.stripes {
            let range = stripe
                .zone
                .column(column)
                .ok_or_else(|| invalid("stripe zone is narrower than the schema"))?;
            let Some(part) = range.sum else { return Ok(None) };
            let Some(sum) = total.checked_add(part) else { return Ok(None) };
            total = sum;
            rows = rows.saturating_add(stripe.rows as u64 - range.nulls as u64);
        }
        Ok(Some((total, rows)))
    }

    /// The global dictionary of a column, opened once however many workers ask for it at once.
    ///
    /// The unlocked look is first because it is the answer every time after the first and it costs a
    /// load. Everybody who misses it queues on [`Self::loading`] and looks again on the way in, so
    /// the one who arrived first does the reading and the rest take what it left. Waiting is the
    /// cheaper thing to do: the work behind the lock is a page read, a checksum and the decode of a
    /// dictionary that can hold half a million entries, and the alternative is every worker of the
    /// scan doing all of it and all but one dropping the result on the floor.
    fn dictionary(&self, column: usize) -> Result<Option<Arc<Vector>>> {
        let Some(page) = self.table.dictionaries[column] else { return Ok(None) };
        if let Some(dictionary) = self.dictionaries[column].get() {
            return Ok(Some(Arc::clone(dictionary)));
        }
        let _queued = self.loading[column].lock().map_err(|_| invalid("a poisoned dictionary"))?;
        if let Some(dictionary) = self.dictionaries[column].get() {
            return Ok(Some(Arc::clone(dictionary)));
        }
        self.opened.fetch_add(1, Atomic::Relaxed);
        let dictionary = Arc::new(open_global_dictionary(
            Arc::clone(&self.file),
            page,
            &self.table.fields[column].ty,
        )?);
        let _ = self.dictionaries[column].set(Arc::clone(&dictionary));
        Ok(Some(dictionary))
    }

    /// Reads only the named columns from one part.
    ///
    /// The whole stripe page each column lives in is read and kept, because a scan asks for the
    /// parts of a stripe one after another and this is what turns sixty four reads into one.
    ///
    /// # Errors
    ///
    /// If a part, column, page, or checksum is invalid.
    pub fn read(&self, part: usize, columns: &[usize]) -> Result<Chunk> {
        self.read_impl(part, columns, true)
    }

    /// Reads named columns from one part without keeping the stripe page it came out of.
    ///
    /// This is for sparse row fetches after a selective TopN or filter, which reach a few parts of
    /// a stripe rather than all of them. A caller that will read most of a stripe should use
    /// [`Self::read`] instead, because this reads and discards the page index every time.
    ///
    /// # Errors
    ///
    /// If a part, column, page, or checksum is invalid.
    pub fn read_sparse(&self, part: usize, columns: &[usize]) -> Result<Chunk> {
        self.read_impl(part, columns, false)
    }

    /// Whether an exact global-code membership index proves that the stripe holding a part cannot
    /// contain any of the sorted candidate codes.
    ///
    /// # Errors
    ///
    /// If the part, column, index page, checksum, or delta stream is invalid.
    pub fn skips_codes(&self, part: usize, column: usize, candidates: &[u32]) -> Result<bool> {
        if candidates.is_empty() {
            return Ok(true);
        }
        if candidates.windows(2).any(|pair| pair[0] >= pair[1]) {
            return Err(Error::internal("native code candidates are not sorted and unique"));
        }
        let stripe = self.stripe_of(part)?;
        let Some(page) = stripe.memberships.get(column).copied().flatten() else {
            return Ok(false);
        };
        let mut bytes = vec![0; page.length as usize];
        read_at(&self.file, page.offset, &mut bytes)?;
        if checksum(&bytes) != page.hash {
            return Err(invalid("membership page checksum differs"));
        }
        let codes = decode_membership(&bytes)?;
        let mut left = 0;
        let mut right = 0;
        while left < codes.len() && right < candidates.len() {
            match codes[left].cmp(&candidates[right]) {
                Ordering::Less => left += 1,
                Ordering::Greater => right += 1,
                Ordering::Equal => return Ok(false),
            }
        }
        Ok(true)
    }

    fn stripe_of(&self, part: usize) -> Result<&Stripe> {
        let place = self.places.get(part).ok_or_else(|| invalid("part index out of range"))?;
        self.table
            .stripes
            .get(place.stripe as usize)
            .ok_or_else(|| invalid("stripe index out of range"))
    }

    /// The page index of one column of one stripe, and its page when the caller wants all of it.
    ///
    /// A scan hands parts out in order, so every worker on a column crosses into a new stripe within
    /// a few parts of the others and they all want the same page at the same moment. This used to
    /// let all of them read it, which cost the scan as many copies of every page as it had workers.
    /// On the full ClickBench file a `MIN(EventDate), MAX(EventDate)` moved 3.2 GB off the disk to
    /// look at 400 MB of column.
    ///
    /// A worker that finds the page it wants already being read neither waits for it nor reads it
    /// again. It comes back with the index alone, which sends [`Reader::read_impl`] down the path
    /// that reads the one part it came for, a few kilobytes against a quarter of a megabyte, and it
    /// picks the page up from the cache on its next part. Waiting would be the other way to avoid
    /// the duplicate read and it is worse: the pages that matter are the wide string ones, they take
    /// milliseconds to copy even warm, and every other worker would be stopped for all of it.
    ///
    /// The file is never read under the lock.
    fn held(&self, at: usize, stripe: &Stripe, column: usize, whole: bool) -> Result<CachedColumn> {
        let cache = self.cache.get(column).ok_or_else(|| invalid("column index out of range"))?;
        let mut cached = cache.lock().map_err(|_| invalid("column page cache is poisoned"))?;
        let known = cached.index.get(at).and_then(Clone::clone);
        let page = cached.pages.get(at).and_then(Clone::clone);
        if let Some(index) = known.clone() {
            if !whole || page.is_some() {
                return Ok(CachedColumn { stripe: at, index, page });
            }
        }
        if cached.loading.contains(&at) {
            drop(cached);
            // The index is almost always already here, because somebody read this stripe to get
            // into the loading list in the first place, so this branch usually costs no read at
            // all and the one part read in `read_impl` is all the losing worker pays for.
            if let Some(index) = known {
                return Ok(CachedColumn { stripe: at, index, page: None });
            }
            let held = self.page_of(stripe, column, at, false, None)?;
            let mut cached = cache.lock().map_err(|_| invalid("column page cache is poisoned"))?;
            remember(&mut cached, &held, self.kept.load(Atomic::Relaxed));
            return Ok(held);
        }
        cached.loading.push(at);
        drop(cached);

        let read = self.page_of(stripe, column, at, whole, known);

        // The stripe leaves the loading list and its page enters the cache under one lock. Doing
        // them separately would leave a moment where another worker sees neither and reads the
        // page a second time, which is the whole thing this is here to stop.
        let mut cached = cache.lock().map_err(|_| invalid("column page cache is poisoned"))?;
        if let Some(position) = cached.loading.iter().position(|loading| *loading == at) {
            cached.loading.remove(position);
        }
        let held = read?;
        remember(&mut cached, &held, self.kept.load(Atomic::Relaxed));
        Ok(held)
    }

    /// Reads one stripe's index for a column, and its page when the caller wants all of it.
    ///
    /// `known` is the index when the reader has already read it, which after the first worker
    /// through a stripe it always has, because [`remember`] keeps every index for the life of the
    /// reader. Without that a scan reads the index again on every part that misses the page cache.
    fn page_of(
        &self,
        stripe: &Stripe,
        column: usize,
        at: usize,
        whole: bool,
        known: Option<Arc<Vec<PartSpan>>>,
    ) -> Result<CachedColumn> {
        let index = match known {
            Some(index) => index,
            None => {
                self.indexes.fetch_add(1, Atomic::Relaxed);
                Arc::new(read_index(&self.file, stripe, column)?)
            }
        };
        let page = if whole {
            self.pages.fetch_add(1, Atomic::Relaxed);
            let span = stripe.pages.get(column).ok_or_else(|| invalid("stripe page is missing"))?;
            let mut bytes = vec![0; span.length as usize];
            read_at(&self.file, span.offset, &mut bytes)?;
            Some(Arc::new(bytes))
        } else {
            None
        };
        Ok(CachedColumn { stripe: at, index, page })
    }

    fn read_impl(&self, at: usize, columns: &[usize], whole: bool) -> Result<Chunk> {
        let place = *self.places.get(at).ok_or_else(|| invalid("part index out of range"))?;
        let index = place.stripe as usize;
        let stripe =
            self.table.stripes.get(index).ok_or_else(|| invalid("stripe index out of range"))?;
        let rows = place.rows as usize;
        let mut picked = Vec::with_capacity(columns.len());
        for &column in columns {
            let field = self
                .table
                .fields
                .get(column)
                .ok_or_else(|| invalid("column index out of range"))?;
            let page = stripe.pages.get(column).ok_or_else(|| invalid("stripe page is missing"))?;
            let held = self.held(index, stripe, column, whole)?;
            let span = *held
                .index
                .get(place.part as usize)
                .ok_or_else(|| invalid("part index out of range"))?;
            let owned;
            let bytes = match &held.page {
                Some(held) => part_bytes(held, span)?,
                None => {
                    let offset = page
                        .offset
                        .checked_add(span.start as u64)
                        .ok_or_else(|| invalid("part range overflow"))?;
                    let mut bytes = vec![0; span.length];
                    read_at(&self.file, offset, &mut bytes)?;
                    owned = bytes;
                    &owned
                }
            };
            if checksum(bytes) != span.hash {
                return Err(invalid(&format!(
                    "column page checksum differs, column {column} part {} at {}+{} of {} bytes, \
                     wanted {:016x} and got {:016x}",
                    place.part,
                    page.offset,
                    span.start,
                    span.length,
                    span.hash,
                    checksum(bytes),
                )));
            }
            let dictionary = self.dictionary(column)?;
            picked.push(decode(&field.ty, rows, bytes, dictionary)?);
        }
        Chunk::with_rows(picked, rows)
    }

    /// Whether persisted statistics prove that a part cannot match the predicates.
    ///
    /// Two of them. The bounds are per stripe, so every part of a stripe gets the same answer from
    /// those and a scan that skips one part that way skips all sixty four. The sieves are per part
    /// and answer equality, which is the test bounds are worst at: a column of identifiers has every
    /// stripe covering nearly the whole of its type, so the bounds keep every part of it and the
    /// sieve keeps the ones that really hold the value.
    ///
    /// The bounds go first because they are already in memory and the sieves are a read.
    #[must_use]
    pub fn skips(&self, part: usize, probes: &[Probe]) -> bool {
        let Some(place) = self.places.get(part).copied() else { return false };
        let Some(stripe) = self.table.stripes.get(place.stripe as usize) else { return false };
        if stripe.zone.skips(probes) {
            return true;
        }
        probes.iter().any(|probe| self.sifted(place, probe))
    }

    /// Whether the bounds of one stripe prove that none of its parts can match the predicates.
    ///
    /// The cheap half of [`Self::skips`], asked about a whole stripe at once. The bounds live in the
    /// directory and are already in memory, so this answers without touching the file, and that is
    /// the reason it is worth having on its own: a caller that wants to know roughly where the work
    /// is before it starts any workers can ask this about sixteen stripes for nothing, where asking
    /// [`Self::skips`] about nine hundred parts would read and decode a sieve page per stripe first.
    ///
    /// It keeps stripes that [`Self::skips`] would rule out part by part, which is the right way for
    /// it to be wrong: the parts are still checked when they are read.
    #[must_use]
    pub fn stripe_skips(&self, stripe: usize, probes: &[Probe]) -> bool {
        self.table.stripes.get(stripe).is_some_and(|held| held.zone.skips(probes))
    }

    /// Whether the sieve of one part rules out one probe.
    ///
    /// Only equality. An ordered comparison is what the bounds are for and a sieve says nothing
    /// about it, and a read that cannot answer keeps the part, which is the answer a caller with no
    /// sieve gets anyway.
    fn sifted(&self, place: Place, probe: &Probe) -> bool {
        if probe.op != Op::Equal {
            return false;
        }
        match self.stripe_sieves(place.stripe as usize, probe.column) {
            Some(sieves) => sieves
                .get(place.part as usize)
                .and_then(Option::as_ref)
                .is_some_and(|sieve| sieve.excludes(&probe.value)),
            None => false,
        }
    }

    /// The sieves of one stripe of one column, read once and kept.
    ///
    /// `None` when the column has no sieves in that stripe, when the page is damaged, and when the
    /// bytes are not a page this version can read. A sieve is an index over data that is still there
    /// and a caller that cannot read one reads the rows, so this is the one place in the file where
    /// a bad checksum is a slow query rather than an error.
    fn stripe_sieves(&self, stripe: usize, column: usize) -> Option<&[Option<Sieve>]> {
        let slot = self.sieves.get(column)?.get(stripe)?;
        if let Some(held) = slot.get() {
            return Some(held);
        }
        let page = self.table.stripes.get(stripe)?.sieves.get(column).copied().flatten()?;
        let mut bytes = vec![0; page.length as usize];
        read_at(&self.file, page.offset, &mut bytes).ok()?;
        if checksum(&bytes) != page.hash {
            return None;
        }
        let sieves = Arc::new(decode_sieves(&bytes).ok()?);
        let _ = slot.set(sieves);
        slot.get().map(|held| held.as_slice())
    }
}

/// The value sitting at one position of a dictionary's sorted order.
fn text_at_rank(dictionary: &Vector, rank: usize) -> Result<Value> {
    let code = dictionary.code_at_rank(rank)? as usize;
    let text = dictionary
        .try_text_at(code)?
        .ok_or_else(|| invalid("global dictionary order names a code it does not have"))?;
    Ok(Value::Varchar(text.into()))
}

/// Writes one span of a file at an offset, without depending on where the cursor is.
///
/// The writer owns an offset of its own and passes it in here, so that nothing it writes depends on
/// a cursor that a read is entitled to move. Both of these can come back short and both loop.
#[cfg(unix)]
fn write_at(file: &File, mut offset: u64, mut bytes: &[u8]) -> Result<()> {
    use std::os::unix::fs::FileExt;
    while !bytes.is_empty() {
        let written = file.write_at(bytes, offset).map_err(io)?;
        if written == 0 {
            return Err(invalid("a write to the native file wrote nothing"));
        }
        offset += written as u64;
        bytes = &bytes[written..];
    }
    Ok(())
}

/// The same write, on the call Windows spells differently.
#[cfg(windows)]
fn write_at(file: &File, mut offset: u64, mut bytes: &[u8]) -> Result<()> {
    use std::os::windows::fs::FileExt;
    while !bytes.is_empty() {
        let written = file.seek_write(bytes, offset).map_err(io)?;
        if written == 0 {
            return Err(invalid("a write to the native file wrote nothing"));
        }
        offset += written as u64;
        bytes = &bytes[written..];
    }
    Ok(())
}

/// Somewhere that is neither, where the cursor is all there is.
#[cfg(not(any(unix, windows)))]
fn write_at(file: &File, offset: u64, bytes: &[u8]) -> Result<()> {
    use std::io::Write;
    let mut file = file.try_clone().map_err(io)?;
    file.seek(SeekFrom::Start(offset)).map_err(io)?;
    file.write_all(bytes).map_err(io)
}

/// Reads one span of a file at an offset, without moving a cursor anybody else can see.
///
/// Every reader of a table shares one [`File`] behind an [`Arc`], and a grouped aggregate reads its
/// pages from several threads at once, so this has to be positional. Seeking and then reading is
/// two calls with a gap in the middle, and in that gap another thread's seek lands and the read
/// comes back with somebody else's bytes.
///
/// Both of these can come back short, so both loop. A read of zero bytes before the span is filled
/// means the file stops earlier than the directory said it does.
#[cfg(unix)]
fn read_at(file: &File, mut offset: u64, mut bytes: &mut [u8]) -> Result<()> {
    use std::os::unix::fs::FileExt;
    while !bytes.is_empty() {
        let read = file.read_at(bytes, offset).map_err(io)?;
        if read == 0 {
            return Err(invalid("column page ends before its declared length"));
        }
        offset += read as u64;
        bytes = &mut bytes[read..];
    }
    Ok(())
}

/// The same read, on the call Windows spells differently.
///
/// `seek_read` is one `ReadFile` carrying the offset with it, so two of them cannot interleave the
/// way a seek and a read can. It does leave the shared cursor somewhere afterwards, which is why
/// nothing in this file may read that cursor.
#[cfg(windows)]
fn read_at(file: &File, mut offset: u64, mut bytes: &mut [u8]) -> Result<()> {
    use std::os::windows::fs::FileExt;
    while !bytes.is_empty() {
        let read = file.seek_read(bytes, offset).map_err(io)?;
        if read == 0 {
            return Err(invalid("column page ends before its declared length"));
        }
        offset += read as u64;
        bytes = &mut bytes[read..];
    }
    Ok(())
}

/// Somewhere that is neither, where the cursor is all there is.
///
/// This one does race, and there is no way to write it so it does not. Nothing we build for runs
/// here, so it exists to keep the crate compiling rather than to be correct under threads.
#[cfg(not(any(unix, windows)))]
fn read_at(file: &File, offset: u64, bytes: &mut [u8]) -> Result<()> {
    let mut file = file.try_clone().map_err(io)?;
    file.seek(SeekFrom::Start(offset)).map_err(io)?;
    file.read_exact(bytes).map_err(io)
}

fn type_tag(ty: &LogicalType) -> Result<u8> {
    match ty {
        LogicalType::SmallInt => Ok(1),
        LogicalType::Integer => Ok(2),
        LogicalType::BigInt => Ok(3),
        LogicalType::Varchar => Ok(4),
        LogicalType::Date => Ok(5),
        LogicalType::Timestamp => Ok(6),
        LogicalType::Boolean => Ok(7),
        LogicalType::TinyInt => Ok(8),
        LogicalType::UTinyInt => Ok(9),
        LogicalType::USmallInt => Ok(10),
        LogicalType::UInteger => Ok(11),
        LogicalType::UBigInt => Ok(12),
        _ => Err(Error::not_implemented(format!("native storage for {ty}"))),
    }
}

fn tag_type(tag: u8) -> Result<LogicalType> {
    match tag {
        1 => Ok(LogicalType::SmallInt),
        2 => Ok(LogicalType::Integer),
        3 => Ok(LogicalType::BigInt),
        4 => Ok(LogicalType::Varchar),
        5 => Ok(LogicalType::Date),
        6 => Ok(LogicalType::Timestamp),
        7 => Ok(LogicalType::Boolean),
        8 => Ok(LogicalType::TinyInt),
        9 => Ok(LogicalType::UTinyInt),
        10 => Ok(LogicalType::USmallInt),
        11 => Ok(LogicalType::UInteger),
        12 => Ok(LogicalType::UBigInt),
        _ => Err(invalid("column type tag is unknown")),
    }
}

fn put_u16(out: &mut Vec<u8>, value: u16) {
    out.extend_from_slice(&value.to_le_bytes());
}
fn put_u32(out: &mut Vec<u8>, value: u32) {
    out.extend_from_slice(&value.to_le_bytes());
}
fn put_u64(out: &mut Vec<u8>, value: u64) {
    out.extend_from_slice(&value.to_le_bytes());
}
fn put_var_u64(out: &mut Vec<u8>, mut value: u64) {
    while value >= 0x80 {
        out.push((value as u8 & 0x7f) | 0x80);
        value >>= 7;
    }
    out.push(value as u8);
}

fn frequency_order(left: FrequencyValue, right: FrequencyValue) -> Ordering {
    match (left, right) {
        (FrequencyValue::Null, FrequencyValue::Null) => Ordering::Equal,
        (FrequencyValue::Null, _) => Ordering::Less,
        (_, FrequencyValue::Null) => Ordering::Greater,
        (FrequencyValue::Integer(left), FrequencyValue::Integer(right)) => left.cmp(&right),
        (FrequencyValue::Code(left), FrequencyValue::Code(right)) => left.cmp(&right),
        (FrequencyValue::Integer(_), FrequencyValue::Code(_)) => Ordering::Less,
        (FrequencyValue::Code(_), FrequencyValue::Integer(_)) => Ordering::Greater,
    }
}

fn code_frequency(dictionary: &GlobalDictionary) -> FrequencySummary {
    let mut entries = dictionary
        .counts
        .iter()
        .enumerate()
        .filter(|(_, count)| **count != 0)
        .map(|(code, &count)| FrequencyEntry { value: FrequencyValue::Code(code as u32), count })
        .collect::<Vec<_>>();
    if dictionary.nulls != 0 {
        entries.push(FrequencyEntry { value: FrequencyValue::Null, count: dictionary.nulls });
    }
    entries.sort_unstable_by(|left, right| {
        right.count.cmp(&left.count).then_with(|| frequency_order(left.value, right.value))
    });
    let omitted_max = entries.get(FREQUENCY_ENTRIES).map_or(0, |entry| entry.count);
    entries.truncate(FREQUENCY_ENTRIES);
    FrequencySummary { entries, omitted_max, ordinals: Vec::new() }
}

fn encode_directory(table: &Table) -> Result<Vec<u8>> {
    let mut out = DIRECTORY.to_vec();
    let name = table.name.as_bytes();
    put_u16(&mut out, u16::try_from(name.len()).map_err(|_| invalid("table name too long"))?);
    out.extend_from_slice(name);
    put_u16(&mut out, u16::try_from(table.fields.len()).map_err(|_| invalid("too many columns"))?);
    for field in &table.fields {
        let name = field.name.as_bytes();
        put_u16(&mut out, u16::try_from(name.len()).map_err(|_| invalid("column name too long"))?);
        out.extend_from_slice(name);
        out.push(type_tag(&field.ty)?);
        out.push(u8::from(field.not_null));
    }
    for dictionary in &table.dictionaries {
        match dictionary {
            None => out.push(0),
            Some(page) => {
                out.push(1);
                put_u64(&mut out, page.offset);
                put_u32(&mut out, page.length);
                put_u64(&mut out, page.hash);
            }
        }
    }
    put_u64(&mut out, u64::try_from(table.rows).map_err(|_| invalid("row count overflow"))?);
    put_u32(&mut out, u32::try_from(table.stripes.len()).map_err(|_| invalid("too many stripes"))?);
    for stripe in &table.stripes {
        put_u32(
            &mut out,
            u32::try_from(stripe.parts.len()).map_err(|_| invalid("too many parts in a stripe"))?,
        );
        for &rows in &stripe.parts {
            put_u32(&mut out, rows);
        }
        put_u64(&mut out, stripe.index.offset);
        put_u32(&mut out, stripe.index.length);
        for page in &stripe.pages {
            put_u64(&mut out, page.offset);
            put_u32(&mut out, page.length);
        }
        for (field, membership) in table.fields.iter().zip(&stripe.memberships) {
            if field.ty != LogicalType::Varchar {
                continue;
            }
            let page =
                membership.ok_or_else(|| invalid("string page has no code membership index"))?;
            put_u64(&mut out, page.offset);
            put_u32(&mut out, page.length);
            put_u64(&mut out, page.hash);
        }
        for sieve in &stripe.sieves {
            match sieve {
                None => out.push(0),
                Some(page) => {
                    out.push(1);
                    put_u64(&mut out, page.offset);
                    put_u32(&mut out, page.length);
                    put_u64(&mut out, page.hash);
                }
            }
        }
        for range in stripe.zone.columns() {
            put_bound(&mut out, range.low.as_ref())?;
            put_bound(&mut out, range.high.as_ref())?;
            put_u32(
                &mut out,
                u32::try_from(range.nulls).map_err(|_| invalid("null count overflow"))?,
            );
            out.push(u8::from(range.exact));
            match range.sum {
                None => out.push(0),
                Some(total) => {
                    out.push(1);
                    out.extend_from_slice(&total.to_le_bytes());
                }
            }
        }
    }
    out.extend_from_slice(FREQUENCIES);
    put_u16(
        &mut out,
        u16::try_from(table.frequencies.len())
            .map_err(|_| invalid("too many frequency columns"))?,
    );
    for summary in &table.frequencies {
        let Some(summary) = summary else {
            out.push(0);
            continue;
        };
        out.push(1);
        put_u64(&mut out, summary.omitted_max);
        put_u32(
            &mut out,
            u32::try_from(summary.entries.len())
                .map_err(|_| invalid("too many frequency entries"))?,
        );
        for entry in &summary.entries {
            match entry.value {
                FrequencyValue::Null => out.push(0),
                FrequencyValue::Integer(value) => {
                    out.push(1);
                    out.extend_from_slice(&value.to_le_bytes());
                }
                FrequencyValue::Code(value) => {
                    out.push(2);
                    put_u32(&mut out, value);
                }
            }
            put_u64(&mut out, entry.count);
        }
        put_u32(
            &mut out,
            u32::try_from(summary.ordinals.len())
                .map_err(|_| invalid("too many frequency ordinals"))?,
        );
        let mut previous = 0_u64;
        for (at, &ordinal) in summary.ordinals.iter().enumerate() {
            let delta = if at == 0 {
                ordinal
            } else {
                ordinal
                    .checked_sub(previous)
                    .ok_or_else(|| invalid("frequency ordinals are not ordered"))?
            };
            if at != 0 && delta == 0 {
                return Err(invalid("frequency ordinals are not unique"));
            }
            put_var_u64(&mut out, delta);
            previous = ordinal;
        }
    }
    Ok(out)
}

struct Cursor<'a> {
    bytes: &'a [u8],
    at: usize,
}
impl<'a> Cursor<'a> {
    fn take(&mut self, len: usize) -> Result<&'a [u8]> {
        let end = self.at.checked_add(len).ok_or_else(|| invalid("directory offset overflow"))?;
        let bytes =
            self.bytes.get(self.at..end).ok_or_else(|| invalid("directory is truncated"))?;
        self.at = end;
        Ok(bytes)
    }
    fn u8(&mut self) -> Result<u8> {
        Ok(self.take(1)?[0])
    }
    fn u16(&mut self) -> Result<u16> {
        Ok(u16::from_le_bytes(self.take(2)?.try_into().expect("two bytes")))
    }
    fn u32(&mut self) -> Result<u32> {
        Ok(u32::from_le_bytes(self.take(4)?.try_into().expect("four bytes")))
    }
    fn u64(&mut self) -> Result<u64> {
        Ok(u64::from_le_bytes(self.take(8)?.try_into().expect("eight bytes")))
    }
    fn var_u64(&mut self) -> Result<u64> {
        let mut value = 0_u64;
        for shift in (0..=63).step_by(7) {
            let byte = self.u8()?;
            let part = u64::from(byte & 0x7f);
            if shift == 63 && part > 1 {
                return Err(invalid("frequency ordinal varint overflows"));
            }
            value |= part << shift;
            if byte & 0x80 == 0 {
                return Ok(value);
            }
        }
        Err(invalid("frequency ordinal varint is too long"))
    }
    fn bound(&mut self) -> Result<Option<Bound>> {
        Ok(match self.u8()? {
            0 => None,
            1 => Some(Bound::Int(i128::from_le_bytes(
                self.take(16)?.try_into().expect("sixteen bytes"),
            ))),
            2 => Some(Bound::Real(f64::from_le_bytes(
                self.take(8)?.try_into().expect("eight bytes"),
            ))),
            3 => {
                let length = self.u32()? as usize;
                Some(Bound::Bytes(self.take(length)?.to_vec()))
            }
            _ => return Err(invalid("bound tag differs")),
        })
    }
    fn text(&mut self) -> Result<String> {
        let len = self.u16()? as usize;
        String::from_utf8(self.take(len)?.to_vec()).map_err(|_| invalid("name is not UTF-8"))
    }
}

fn decode_directory(bytes: &[u8], size: u64) -> Result<Table> {
    let mut cur = Cursor { bytes, at: 0 };
    if cur.take(8)? != DIRECTORY {
        return Err(invalid("directory magic differs"));
    }
    let name = cur.text()?;
    let width = cur.u16()? as usize;
    let mut fields = Vec::with_capacity(width);
    for _ in 0..width {
        let name = cur.text()?;
        let ty = tag_type(cur.u8()?)?;
        let not_null = match cur.u8()? {
            0 => false,
            1 => true,
            _ => return Err(invalid("nullability flag differs")),
        };
        fields.push(Field { name, ty, not_null });
    }
    let mut dictionaries = Vec::with_capacity(width);
    for _ in 0..width {
        dictionaries.push(match cur.u8()? {
            0 => None,
            1 => {
                let page = Page { offset: cur.u64()?, length: cur.u32()?, hash: cur.u64()? };
                let end = page
                    .offset
                    .checked_add(u64::from(page.length))
                    .ok_or_else(|| invalid("dictionary page offset overflow"))?;
                // A global dictionary covers a whole column, not one bounded stripe. Its lazy
                // payload is intentionally allowed to grow past `MAX_PAGE`; only ordinary column
                // pages are capped there. `Writer::finish` has already bounded this length by the
                // on-disk `u32`, and the range check below keeps it inside the file.
                if page.offset < HEADER || end > size {
                    return Err(invalid("dictionary page range is outside the file"));
                }
                Some(page)
            }
            _ => return Err(invalid("dictionary page tag differs")),
        });
    }
    let rows = usize::try_from(cur.u64()?).map_err(|_| invalid("row count does not fit"))?;
    let count = cur.u32()? as usize;
    let mut stripes = Vec::with_capacity(count);
    let mut total = 0_usize;
    for _ in 0..count {
        let count = cur.u32()? as usize;
        if count == 0 || count > STRIPE_PARTS {
            return Err(invalid("stripe part count is outside its bound"));
        }
        let mut parts = Vec::with_capacity(count);
        let mut stripe_rows = 0_usize;
        for _ in 0..count {
            let rows = cur.u32()?;
            if rows == 0 {
                return Err(invalid("empty part"));
            }
            parts.push(rows);
            stripe_rows = stripe_rows
                .checked_add(rows as usize)
                .ok_or_else(|| invalid("stripe row count overflow"))?;
        }
        total =
            total.checked_add(stripe_rows).ok_or_else(|| invalid("stripe row count overflow"))?;
        let index = Span { offset: cur.u64()?, length: cur.u32()? };
        let section = index_section(count)?;
        let wanted = section
            .checked_mul(width)
            .and_then(|bytes| u32::try_from(bytes).ok())
            .ok_or_else(|| invalid("index page length overflow"))?;
        let end = index
            .offset
            .checked_add(u64::from(index.length))
            .ok_or_else(|| invalid("index page offset overflow"))?;
        if index.offset < HEADER || end > size || index.length != wanted {
            return Err(invalid("index page range is outside the file"));
        }
        let mut pages = Vec::with_capacity(width);
        for _ in 0..width {
            let offset = cur.u64()?;
            let length = cur.u32()?;
            let end = offset
                .checked_add(u64::from(length))
                .ok_or_else(|| invalid("page offset overflow"))?;
            if offset < HEADER || end > size || length as usize > MAX_PAGE {
                return Err(invalid("page range is outside the file"));
            }
            pages.push(Span { offset, length });
        }
        let mut memberships = vec![None; width];
        for (column, field) in fields.iter().enumerate() {
            if field.ty != LogicalType::Varchar {
                continue;
            }
            let page = Page { offset: cur.u64()?, length: cur.u32()?, hash: cur.u64()? };
            let end = page
                .offset
                .checked_add(u64::from(page.length))
                .ok_or_else(|| invalid("membership page offset overflow"))?;
            if page.offset < HEADER || end > size || page.length as usize > MAX_PAGE {
                return Err(invalid("membership page range is outside the file"));
            }
            memberships[column] = Some(page);
        }
        let mut sieves = vec![None; width];
        for sieve in sieves.iter_mut().take(width) {
            match cur.u8()? {
                0 => continue,
                1 => {}
                _ => return Err(invalid("a sieve page has an unknown tag")),
            }
            let page = Page { offset: cur.u64()?, length: cur.u32()?, hash: cur.u64()? };
            let end = page
                .offset
                .checked_add(u64::from(page.length))
                .ok_or_else(|| invalid("sieve page offset overflow"))?;
            if page.offset < HEADER || end > size || page.length as usize > MAX_PAGE {
                return Err(invalid("sieve page range is outside the file"));
            }
            *sieve = Some(page);
        }
        let mut ranges = Vec::with_capacity(width);
        for _ in 0..width {
            let low = cur.bound()?;
            let high = cur.bound()?;
            let nulls = cur.u32()? as usize;
            if nulls > stripe_rows {
                return Err(invalid("null count exceeds stripe rows"));
            }
            let exact = cur.u8()? != 0;
            let sum = match cur.u8()? {
                0 => None,
                1 => Some(i128::from_le_bytes(
                    cur.take(16)?.try_into().map_err(|_| invalid("a stripe sum is truncated"))?,
                )),
                _ => return Err(invalid("a stripe sum has an unknown tag")),
            };
            ranges.push(Range { low, high, nulls, exact, sum });
        }
        stripes.push(Stripe {
            rows: stripe_rows,
            parts,
            index,
            pages,
            memberships,
            sieves,
            zone: Zone::from_ranges(ranges),
        });
    }
    if total != rows {
        return Err(invalid("table row count differs from stripes"));
    }
    let frequencies = if cur.at == bytes.len() {
        vec![None; width]
    } else {
        if cur.take(8)? != FREQUENCIES {
            return Err(invalid("directory extension magic differs"));
        }
        if cur.u16()? as usize != width {
            return Err(invalid("frequency column count differs"));
        }
        let mut frequencies = Vec::with_capacity(width);
        for field in &fields {
            let summary = match cur.u8()? {
                0 => None,
                1 => {
                    let omitted_max = cur.u64()?;
                    let count = cur.u32()? as usize;
                    if count > FREQUENCY_ENTRIES {
                        return Err(invalid("frequency entry count exceeds its bound"));
                    }
                    let mut entries = Vec::with_capacity(count);
                    // row at a time: directory decoding validates each persisted bounded frequency entry.
                    for _ in 0..count {
                        let value = match cur.u8()? {
                            0 => FrequencyValue::Null,
                            1 => FrequencyValue::Integer(i128::from_le_bytes(
                                cur.take(16)?.try_into().expect("sixteen bytes"),
                            )),
                            2 => FrequencyValue::Code(cur.u32()?),
                            _ => return Err(invalid("frequency value tag differs")),
                        };
                        let valid = matches!(
                            (&field.ty, value),
                            (_, FrequencyValue::Null)
                                | (LogicalType::Varchar, FrequencyValue::Code(_))
                                | (
                                    LogicalType::TinyInt
                                        | LogicalType::SmallInt
                                        | LogicalType::Integer
                                        | LogicalType::BigInt
                                        | LogicalType::UTinyInt
                                        | LogicalType::USmallInt
                                        | LogicalType::UInteger
                                        | LogicalType::UBigInt
                                        | LogicalType::Date
                                        | LogicalType::Timestamp,
                                    FrequencyValue::Integer(_),
                                )
                        );
                        if !valid {
                            return Err(invalid("frequency value does not match its column"));
                        }
                        let count = cur.u64()?;
                        if count == 0 || count > rows as u64 {
                            return Err(invalid("frequency count is outside the table"));
                        }
                        entries.push(FrequencyEntry { value, count });
                    }
                    if entries.windows(2).any(|pair| pair[0].count < pair[1].count) {
                        return Err(invalid("frequency entries are not descending"));
                    }
                    let ordinals = {
                        let ordinal_count = cur.u32()? as usize;
                        if ordinal_count > FREQUENCY_ORDINALS || ordinal_count > rows {
                            return Err(invalid("frequency ordinal count exceeds its bound"));
                        }
                        let mut ordinals = Vec::with_capacity(ordinal_count);
                        let mut previous = 0_u64;
                        for at in 0..ordinal_count {
                            let delta = cur.var_u64()?;
                            if at != 0 && delta == 0 {
                                return Err(invalid("frequency ordinals are not increasing"));
                            }
                            let ordinal = if at == 0 {
                                delta
                            } else {
                                previous
                                    .checked_add(delta)
                                    .ok_or_else(|| invalid("frequency ordinal overflows"))?
                            };
                            if ordinal >= rows as u64 {
                                return Err(invalid("frequency ordinal is outside the table"));
                            }
                            ordinals.push(ordinal);
                            previous = ordinal;
                        }
                        ordinals
                    };
                    Some(FrequencySummary { entries, omitted_max, ordinals })
                }
                _ => return Err(invalid("frequency summary tag differs")),
            };
            frequencies.push(summary);
        }
        frequencies
    };
    if cur.at != bytes.len() {
        return Err(invalid("directory has trailing bytes"));
    }
    Ok(Table { name, fields, stripes, rows, dictionaries, frequencies })
}

fn put_bound(out: &mut Vec<u8>, bound: Option<&Bound>) -> Result<()> {
    match bound {
        None => out.push(0),
        Some(Bound::Int(value)) => {
            out.push(1);
            out.extend_from_slice(&value.to_le_bytes());
        }
        Some(Bound::Real(value)) => {
            out.push(2);
            out.extend_from_slice(&value.to_le_bytes());
        }
        Some(Bound::Bytes(value)) => {
            out.push(3);
            put_u32(out, u32::try_from(value.len()).map_err(|_| invalid("bound length overflow"))?);
            out.extend_from_slice(value);
        }
    }
    Ok(())
}

/// Which cascades are worth trying on a run of dictionary codes.
///
/// The exhaustive chooser encodes every candidate at every level of a cascade three deep and keeps
/// the smallest, which on a part of 1024 codes is around a hundred full encodes to decide something
/// three candidates were always going to win. It is the right default for a crate that does not
/// know what it is looking at. Here we do know. Codes are counted from zero in the order the values
/// were first seen, so a part of them is one value, or a narrow band, or a few long runs, and those
/// are constant, frame of reference and run length. Nothing else has ever come first on this data.
///
/// A dictionary of dictionary codes is the one candidate that can never pay, because the codes are
/// already the dictionary, and it is also the most expensive one to try. Below the top level the
/// streams are an RLE's run values and run lengths, which are integers in their own right with no
/// runs left in them, so only the two flat candidates go down there.
///
/// This is size given up for time on purpose, and the ablation is this chooser against
/// [`chooser::EXHAUSTIVE`] on the same file.
#[derive(Debug)]
struct Codes;

impl chooser::Chooser for Codes {
    fn name(&self) -> &'static str {
        "codes"
    }

    fn narrow_strings(
        &self,
        _values: &[&[u8]],
        offered: &[string::Kind],
        _depth: u8,
    ) -> Vec<string::Kind> {
        // Never reached, because nothing here encodes strings through the cascade. The trait asks
        // for it and the honest answer to a question we have no opinion on is the whole list.
        offered.to_vec()
    }

    fn narrow_integers(
        &self,
        _values: &[i64],
        offered: &[integer::Kind],
        depth: u8,
    ) -> Vec<integer::Kind> {
        let keep: &[integer::Kind] = if depth == 0 {
            &[integer::Kind::Constant, integer::Kind::Packed, integer::Kind::Rle]
        } else {
            &[integer::Kind::Constant, integer::Kind::Packed]
        };
        let narrowed: Vec<integer::Kind> =
            offered.iter().copied().filter(|kind| keep.contains(kind)).collect();
        // The contract is a non empty subset, and a chunk that offers none of the three is a chunk
        // this has no opinion about rather than one that cannot be written.
        if narrowed.is_empty() { offered.to_vec() } else { narrowed }
    }
}

/// Which cascades are worth trying on a part of plain integers.
///
/// Wider than [`Codes`] because the values are not codes and carry whatever shape the column has.
/// A timestamp column climbs, so delta is the one that matters and is the reason this exists at
/// all: three timestamp columns in ClickBench were coming out at exactly eight bytes a row with
/// nothing asked of them. The same three columns are why the stride is here, since a timestamp
/// loaded from a source that recorded whole seconds is microseconds with twenty zero bits under
/// every value. A column that is one value with a handful of exceptions is sparse. What is still
/// left out is the dictionary, for the same reason as in [`Codes`]: it is the most
/// expensive candidate to try and this file already puts the columns that want one through a
/// dictionary of their own before they ever reach here.
#[derive(Debug)]
struct Fixed;

impl chooser::Chooser for Fixed {
    fn name(&self) -> &'static str {
        "fixed"
    }

    fn narrow_strings(
        &self,
        _values: &[&[u8]],
        offered: &[string::Kind],
        _depth: u8,
    ) -> Vec<string::Kind> {
        offered.to_vec()
    }

    fn narrow_integers(
        &self,
        _values: &[i64],
        offered: &[integer::Kind],
        depth: u8,
    ) -> Vec<integer::Kind> {
        let keep: &[integer::Kind] = if depth == 0 {
            &[
                integer::Kind::Constant,
                integer::Kind::Packed,
                integer::Kind::Delta,
                integer::Kind::Rle,
                integer::Kind::Sparse,
                integer::Kind::Strided,
            ]
        } else {
            &[integer::Kind::Constant, integer::Kind::Packed, integer::Kind::Delta]
        };
        let narrowed: Vec<integer::Kind> =
            offered.iter().copied().filter(|kind| keep.contains(kind)).collect();
        if narrowed.is_empty() { offered.to_vec() } else { narrowed }
    }
}

/// Every value of an integer part as an `i64`, or `None` for a part this cannot widen without
/// losing one.
///
/// `UBIGINT` is the only integer type left out, because half its range does not fit and a page that
/// silently wrapped would be worse than a page that stays plain. Booleans and strings are not
/// integers and have their own ways of being small.
fn widened(data: &Data) -> Option<Vec<i64>> {
    match data {
        Data::Int8(values) => Some(values.iter().map(|value| i64::from(*value)).collect()),
        Data::UInt8(values) => Some(values.iter().map(|value| i64::from(*value)).collect()),
        Data::Int16(values) => Some(values.iter().map(|value| i64::from(*value)).collect()),
        Data::UInt16(values) => Some(values.iter().map(|value| i64::from(*value)).collect()),
        Data::Int32(values) => Some(values.iter().map(|value| i64::from(*value)).collect()),
        Data::UInt32(values) => Some(values.iter().map(|value| i64::from(*value)).collect()),
        Data::Int64(values) => Some(values.to_vec()),
        _ => None,
    }
}

/// The same values back in the width the column is declared at.
///
/// A value that does not fit is a page that disagrees with the directory about what the column is,
/// which is a damaged file rather than a caller error, so it is refused rather than truncated.
fn narrowed(ty: &LogicalType, values: Vec<i64>) -> Result<Data> {
    fn fit<T: TryFrom<i64>>(values: &[i64]) -> Result<Vec<T>> {
        values
            .iter()
            .map(|value| T::try_from(*value).map_err(|_| invalid("page value is not of its type")))
            .collect()
    }
    Ok(match ty {
        LogicalType::TinyInt => Data::Int8(fit::<i8>(&values)?.into()),
        LogicalType::UTinyInt => Data::UInt8(fit::<u8>(&values)?.into()),
        LogicalType::SmallInt => Data::Int16(fit::<i16>(&values)?.into()),
        LogicalType::USmallInt => Data::UInt16(fit::<u16>(&values)?.into()),
        LogicalType::Integer | LogicalType::Date => Data::Int32(fit::<i32>(&values)?.into()),
        LogicalType::UInteger => Data::UInt32(fit::<u32>(&values)?.into()),
        LogicalType::BigInt | LogicalType::Timestamp => Data::Int64(values.into()),
        _ => return Err(invalid("cascade codec belongs to a page that is not integers")),
    })
}

/// How many bytes a part of this type costs written out plainly, which is what the cascade has to
/// beat before it is worth the decode.
fn plain_width(ty: &LogicalType) -> Option<usize> {
    Some(match ty {
        LogicalType::TinyInt | LogicalType::UTinyInt => 1,
        LogicalType::SmallInt | LogicalType::USmallInt => 2,
        LogicalType::Integer | LogicalType::UInteger | LogicalType::Date => 4,
        LogicalType::BigInt | LogicalType::Timestamp => 8,
        _ => return None,
    })
}

/// A part's plain integers through the cascade, or `None` when nothing it offers is worth it.
///
/// What it has to beat is whatever the page would otherwise have cost, which is the bit packed form
/// where there is one and the plain width where there is not. Both are cheaper to decode than a
/// cascade, so a tie goes to them.
fn cascaded(
    flat: &Vector,
    ty: &LogicalType,
    packed: Option<&Packed<'_>>,
) -> Result<Option<Vec<u8>>> {
    let (Some(width), Some(data)) = (plain_width(ty), flat.data()) else { return Ok(None) };
    let Some(values) = widened(data) else { return Ok(None) };
    let plain = values.len().saturating_mul(width);
    let best = match packed {
        // The tag, the base, the word count and the words, which is what the codec 2 branch writes.
        Some(packed) => plain.min(21 + size_of_val(packed.words())),
        None => plain,
    };
    let out = integer::encode_with(&values, &Fixed)?;
    Ok((out.len() < best).then_some(out))
}

/// A part's dictionary codes through the integer cascade, or `None` when the cascade did not pay.
///
/// Until now this stream was a `u32` a row with nothing asked of it, and on ClickBench that was
/// 400,185,326 bytes for every one of the 28 varchar columns, the same count for `URL` as for a
/// column holding the empty string in nearly every row. Codes are dense integers counted from zero
/// and a part holds 1024 of them, which is the shape frame of reference is best at, and a column
/// with one value everywhere comes back a constant costing nothing per row rather than four bytes.
///
/// The result is taken only when it is smaller than the plain form. A cascade is allowed to come
/// out larger on a part whose codes are genuinely wide, `URL` has about sixty million distinct
/// values, and there is no reason to pay for the decode when it does.
fn encoded_codes(codes: &[u32]) -> Result<Option<Vec<u8>>> {
    let wide: Vec<i64> = codes.iter().map(|code| i64::from(*code)).collect();
    let coded = integer::encode_with(&wide, &Codes)?;
    let plain = codes.len().saturating_mul(size_of::<u32>());
    Ok((coded.len() < plain).then_some(coded))
}

fn encode(
    vector: &Vector,
    global: Option<&mut GlobalDictionary>,
) -> Result<(Vec<u8>, Option<Vec<u32>>)> {
    let ty = vector.logical_type();
    // flatten: the file writer needs a uniform scalar page and does it once per loaded chunk.
    let flat = vector.flatten()?;
    let mut out = Vec::new();
    let mut global_codes = None;
    if let Some(global) = global {
        let mut codes = Vec::with_capacity(flat.len());
        for row in 0..flat.len() {
            let text = flat.text_at(row).unwrap_or("");
            let code = global.code(text)?;
            global.observe(code, flat.is_null_at(row))?;
            codes.push(code);
        }
        global_codes = Some(codes);
    }
    let membership = global_codes.as_deref().map(unique_codes);
    let dictionary = if global_codes.is_none() && ty == &LogicalType::Varchar {
        string_dictionary(&flat)?
    } else {
        None
    };
    let packed_vector = if dictionary.is_none() && global_codes.is_none() {
        Some(flat.bit_packed()?)
    } else {
        None
    };
    let packed = packed_vector.as_ref().and_then(Vector::packed_parts);
    let coded = match global_codes.as_deref() {
        Some(codes) => encoded_codes(codes)?,
        None => None,
    };
    // Only where nothing else has claimed the page, which is the plain integer case. A packed part
    // is still on the table because the cascade has to beat it too: the bit pack takes a part only
    // when it halves it, so a column that shrinks by a third was coming out whole.
    let cascade = if dictionary.is_none() && global_codes.is_none() {
        cascaded(&flat, ty, packed.as_ref())?
    } else {
        None
    };
    out.push(if coded.is_some() {
        4
    } else if cascade.is_some() {
        5
    } else if global_codes.is_some() {
        3
    } else if dictionary.is_some() {
        1
    } else if packed.is_some() {
        2
    } else {
        0
    });
    let nulls = flat.validity();
    let flag = match nulls {
        Validity::AllValid => 0,
        Validity::AllInvalid => 1,
        Validity::Mask(_) => 2,
    };
    out.push(flag);
    if flag == 2 {
        for group in (0..vector.len()).step_by(8) {
            let mut bits = 0_u8;
            for bit in 0..8 {
                if group + bit < vector.len() && !flat.is_null_at(group + bit) {
                    bits |= 1 << bit;
                }
            }
            out.push(bits);
        }
    }
    if let Some(coded) = coded {
        out.extend_from_slice(&coded);
        return Ok((out, membership));
    }
    if let Some(cascade) = cascade {
        out.extend_from_slice(&cascade);
        return Ok((out, membership));
    }
    if let Some(codes) = global_codes {
        for code in codes {
            put_u32(&mut out, code);
        }
        return Ok((out, membership));
    }
    if let Some(dictionary) = dictionary {
        out.extend_from_slice(&dictionary);
        return Ok((out, membership));
    }
    if let Some(packed) = packed {
        if packed.offset() != 0 {
            return Err(invalid("writer received a sliced packed vector"));
        }
        out.push(u8::try_from(packed.width()).map_err(|_| invalid("packed width overflow"))?);
        out.extend_from_slice(&packed.base().to_le_bytes());
        put_u32(
            &mut out,
            u32::try_from(packed.words().len()).map_err(|_| invalid("too many packed words"))?,
        );
        for word in packed.words() {
            put_u64(&mut out, *word);
        }
        return Ok((out, membership));
    }
    let data = flat.data().ok_or_else(|| invalid("scalar column did not flatten"))?;
    match (ty, data) {
        (LogicalType::TinyInt, Data::Int8(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::UTinyInt, Data::UInt8(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::SmallInt, Data::Int16(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::USmallInt, Data::UInt16(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::UInteger, Data::UInt32(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::UBigInt, Data::UInt64(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::Integer | LogicalType::Date, Data::Int32(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::BigInt | LogicalType::Timestamp, Data::Int64(values)) => {
            for value in &**values {
                out.extend_from_slice(&value.to_le_bytes());
            }
        }
        (LogicalType::Boolean, Data::Bool(values)) => {
            for value in &**values {
                out.push(u8::from(*value));
            }
        }
        (LogicalType::Varchar, Data::Varlen(values)) => {
            let mut bytes = Vec::new();
            put_u32(&mut out, 0);
            for row in 0..vector.len() {
                let value = values.bytes(row).ok_or_else(|| invalid("string view is invalid"))?;
                bytes.extend_from_slice(value);
                put_u32(
                    &mut out,
                    u32::try_from(bytes.len())
                        .map_err(|_| invalid("string payload exceeds 4GiB"))?,
                );
            }
            out.extend_from_slice(&bytes);
        }
        _ => return Err(Error::not_implemented(format!("native page for {ty}"))),
    }
    Ok((out, membership))
}

fn put_varint(out: &mut Vec<u8>, mut value: u32) {
    while value >= 0x80 {
        out.push((value as u8 & 0x7f) | 0x80);
        value >>= 7;
    }
    out.push(value as u8);
}

/// The distinct codes of one part, which is what a stripe's membership index is merged from.
fn unique_codes(codes: &[u32]) -> Vec<u32> {
    let mut unique = codes.to_vec();
    unique.sort_unstable();
    unique.dedup();
    unique
}

/// The union of the sorted distinct codes of every part in a stripe.
///
/// Pairwise up a tree rather than one long list concatenated and sorted. Both are the same order of
/// work on paper and the tree is the one that does not sort what is already in order: sixty four
/// sorted lists become one in six passes over the values.
fn merged_codes(lists: Vec<Vec<u32>>) -> Vec<u32> {
    let mut lists = lists;
    while lists.len() > 1 {
        let mut next = Vec::with_capacity(lists.len().div_ceil(2));
        for pair in lists.chunks(2) {
            match pair {
                [left, right] => next.push(merged_pair(left, right)),
                [only] => next.push(only.clone()),
                _ => {}
            }
        }
        lists = next;
    }
    lists.pop().unwrap_or_default()
}

fn merged_pair(left: &[u32], right: &[u32]) -> Vec<u32> {
    let mut out = Vec::with_capacity(left.len().saturating_add(right.len()));
    let mut at = 0;
    let mut to = 0;
    while at < left.len() && to < right.len() {
        match left[at].cmp(&right[to]) {
            Ordering::Less => {
                out.push(left[at]);
                at += 1;
            }
            Ordering::Greater => {
                out.push(right[to]);
                to += 1;
            }
            Ordering::Equal => {
                out.push(left[at]);
                at += 1;
                to += 1;
            }
        }
    }
    out.extend_from_slice(&left[at..]);
    out.extend_from_slice(&right[to..]);
    out
}

/// The widest bounds and the total null count of a stripe, from the bounds of its parts.
///
/// A bound that is missing from any part is missing from the stripe, because a missing bound means
/// nothing is known and a stripe that holds an unknown cannot claim one.
fn merged_range(ranges: impl Iterator<Item = Range>) -> Range {
    let mut merged = Range::default();
    let mut first = true;
    for range in ranges {
        merged.nulls = merged.nulls.saturating_add(range.nulls);
        // Both of these have to survive every part, so one part that could not say anything makes
        // the stripe unable to say it either. A sum is dropped on overflow rather than wrapped,
        // which leaves the stripe with exact ends and no total, which is a true thing to say.
        merged.sum = match (merged.sum.take(), range.sum) {
            (Some(held), Some(next)) if !first => held.checked_add(next),
            (_, next) if first => next,
            _ => None,
        };
        merged.exact = if first { range.exact } else { merged.exact && range.exact };
        if first {
            merged.low = range.low;
            merged.high = range.high;
            first = false;
            continue;
        }
        merged.low = match (merged.low.take(), range.low) {
            (Some(held), Some(next)) => Some(held.smaller(next)),
            _ => None,
        };
        merged.high = match (merged.high.take(), range.high) {
            (Some(held), Some(next)) => Some(held.larger(next)),
            _ => None,
        };
    }
    merged
}

/// One stripe's sieves for one column: the part count, a length for each part, then their bytes.
///
/// One page for the whole stripe rather than one per part, because a part's sieve is a few hundred
/// bytes and sixty four of those are sixty four directory entries and sixty four reads for something
/// a scan walks straight through. A part with no sieve writes a length of zero and costs four bytes.
fn encode_sieves<'a>(sieves: impl Iterator<Item = &'a Option<Sieve>>) -> Result<Vec<u8>> {
    let held: Vec<&Option<Sieve>> = sieves.collect();
    let mut out = Vec::new();
    put_u32(
        &mut out,
        u32::try_from(held.len()).map_err(|_| invalid("too many parts in a stripe"))?,
    );
    for sieve in &held {
        let length = sieve.as_ref().map_or(0, Sieve::len);
        put_u32(&mut out, u32::try_from(length).map_err(|_| invalid("sieve length overflow"))?);
    }
    // flatten: a part with no sieve wrote a length of zero above and contributes no bytes here.
    for sieve in held.into_iter().flatten() {
        out.extend_from_slice(&sieve.to_bytes());
    }
    Ok(out)
}

/// The sieves one encoded page holds, one entry per part of the stripe.
///
/// A part whose bytes are not a sieve this version understands comes back as `None`, which is a part
/// that gets read. That is how a file written by a later version of the sieve stays readable rather
/// than being a corrupt page.
fn decode_sieves(bytes: &[u8]) -> Result<Vec<Option<Sieve>>> {
    let parts = u32::from_le_bytes(
        bytes
            .get(..4)
            .ok_or_else(|| invalid("sieve page is truncated"))?
            .try_into()
            .map_err(|_| invalid("sieve page is truncated"))?,
    ) as usize;
    let mut lengths = Vec::with_capacity(parts);
    for part in 0..parts {
        let at = 4 + part * 4;
        let field = bytes.get(at..at + 4).ok_or_else(|| invalid("sieve page is truncated"))?;
        lengths.push(u32::from_le_bytes(
            field.try_into().map_err(|_| invalid("sieve page is truncated"))?,
        ) as usize);
    }
    let mut at = 4 + parts * 4;
    let mut out = Vec::with_capacity(parts);
    for length in lengths {
        if length == 0 {
            out.push(None);
            continue;
        }
        let end = at.checked_add(length).ok_or_else(|| invalid("sieve page is truncated"))?;
        let field = bytes.get(at..end).ok_or_else(|| invalid("sieve page is truncated"))?;
        out.push(Sieve::from_bytes(field));
        at = end;
    }
    if at != bytes.len() {
        return Err(invalid("sieve page has trailing bytes"));
    }
    Ok(out)
}

/// One stripe's membership index: the code count and then the codes as ascending deltas.
///
/// The codes have to be sorted and distinct already, which is what [`unique_codes`] and
/// [`merged_codes`] hand over. Anything else decodes as different codes, so neither of those two is
/// a step a caller can skip.
fn encode_membership(unique: &[u32]) -> Vec<u8> {
    let mut out = Vec::with_capacity(unique.len().saturating_mul(2).saturating_add(5));
    put_varint(&mut out, u32::try_from(unique.len()).unwrap_or(u32::MAX));
    let mut previous = 0;
    for (at, &code) in unique.iter().enumerate() {
        put_varint(&mut out, if at == 0 { code } else { code - previous });
        previous = code;
    }
    out
}

fn take_varint(bytes: &[u8], at: &mut usize) -> Result<u32> {
    let mut value = 0_u32;
    for shift in (0..35).step_by(7) {
        let byte = *bytes.get(*at).ok_or_else(|| invalid("membership varint is truncated"))?;
        *at += 1;
        let part = u32::from(byte & 0x7f);
        if shift == 28 && part > 0x0f {
            return Err(invalid("membership varint overflow"));
        }
        value = value
            .checked_add(
                part.checked_shl(shift).ok_or_else(|| invalid("membership varint overflow"))?,
            )
            .ok_or_else(|| invalid("membership varint overflow"))?;
        if byte & 0x80 == 0 {
            return Ok(value);
        }
    }
    Err(invalid("membership varint is too long"))
}

fn decode_membership(bytes: &[u8]) -> Result<Vec<u32>> {
    let mut at = 0;
    let count = take_varint(bytes, &mut at)? as usize;
    let mut codes = Vec::with_capacity(count);
    let mut previous = 0_u32;
    for index in 0..count {
        let delta = take_varint(bytes, &mut at)?;
        let code = if index == 0 {
            delta
        } else {
            previous.checked_add(delta).ok_or_else(|| invalid("membership code overflow"))?
        };
        if index > 0 && code <= previous {
            return Err(invalid("membership codes are not increasing"));
        }
        codes.push(code);
        previous = code;
    }
    if at != bytes.len() {
        return Err(invalid("membership page has trailing bytes"));
    }
    Ok(codes)
}

fn string_dictionary(vector: &Vector) -> Result<Option<Vec<u8>>> {
    let mut by_text = HashMap::new();
    let mut values = Vec::new();
    let mut codes = Vec::with_capacity(vector.len());
    let mut plain_bytes = 0_usize;
    for row in 0..vector.len() {
        let text = vector.text_at(row).unwrap_or("");
        plain_bytes = plain_bytes.saturating_add(text.len());
        let code = match by_text.get(text) {
            Some(&code) => code,
            None => {
                let code = u32::try_from(values.len())
                    .map_err(|_| invalid("too many dictionary values"))?;
                by_text.insert(text, code);
                values.push(text);
                code
            }
        };
        codes.push(code);
    }
    let dictionary_bytes = values.iter().map(|value| value.len()).sum::<usize>();
    let encoded = 8_usize
        .saturating_add((values.len() + 1).saturating_mul(4))
        .saturating_add(dictionary_bytes)
        .saturating_add(codes.len().saturating_mul(4));
    let plain = (vector.len() + 1).saturating_mul(4).saturating_add(plain_bytes);
    if encoded >= plain {
        return Ok(None);
    }
    let mut out = Vec::with_capacity(encoded);
    put_u32(
        &mut out,
        u32::try_from(values.len()).map_err(|_| invalid("too many dictionary values"))?,
    );
    put_u32(
        &mut out,
        u32::try_from(dictionary_bytes).map_err(|_| invalid("dictionary payload exceeds 4GiB"))?,
    );
    let mut offset = 0_u32;
    put_u32(&mut out, offset);
    for value in &values {
        offset = offset
            .checked_add(
                u32::try_from(value.len()).map_err(|_| invalid("dictionary value is too long"))?,
            )
            .ok_or_else(|| invalid("dictionary payload exceeds 4GiB"))?;
        put_u32(&mut out, offset);
    }
    for value in values {
        out.extend_from_slice(value.as_bytes());
    }
    for code in codes {
        put_u32(&mut out, code);
    }
    Ok(Some(out))
}

struct EncodedDictionary {
    index: Vec<u8>,
    ranks: Vec<u8>,
    /// The payload as the blocks it is written as, kept apart rather than joined because joining
    /// them is a second copy of a thing that is already gigabytes on the columns that matter.
    payload: Vec<Vec<u8>>,
}

/// The first eight bytes of a value as an integer that sorts the way the bytes sort.
fn head(bytes: &[u8]) -> u64 {
    let mut word = [0; 8];
    let take = bytes.len().min(8);
    word[..take].copy_from_slice(&bytes[..take]);
    u64::from_be_bytes(word)
}

/// The sorted order of every global dictionary, one entry per column and empty where there is no
/// dictionary.
///
/// One column's sort has nothing to do with another's, and a table like `hits` has fifteen string
/// columns, so this runs across threads the way the numeric synopses above do. It is the only part
/// of committing a file that is more than bookkeeping, and doing it serially would show up as a
/// pause at the end of a load that thirty two threads had been busy with until then.
fn rankings(dictionaries: &[Option<GlobalDictionary>]) -> Result<Vec<Vec<(u64, u32)>>> {
    let present =
        dictionaries.iter().enumerate().filter(|(_, held)| held.is_some()).map(|(at, _)| at);
    let present = present.collect::<Vec<_>>();
    let mut orders = vec![Vec::new(); dictionaries.len()];
    let workers = std::thread::available_parallelism()
        .map_or(1, usize::from)
        .min(MAX_FREQUENCY_WORKERS)
        .min(present.len());
    if workers <= 1 {
        for at in present {
            if let Some(dictionary) = &dictionaries[at] {
                orders[at] = dictionary.ranked();
            }
        }
        return Ok(orders);
    }
    let width = present.len().div_ceil(workers);
    let pieces = std::thread::scope(|scope| {
        present
            .chunks(width)
            .map(|columns| {
                scope.spawn(|| {
                    columns
                        .iter()
                        .filter_map(|&at| dictionaries[at].as_ref().map(|held| (at, held.ranked())))
                        .collect::<Vec<_>>()
                })
            })
            .collect::<Vec<_>>()
            .into_iter()
            .map(|handle| {
                handle.join().map_err(|_| Error::internal("a dictionary sort worker panicked"))
            })
            .collect::<Result<Vec<_>>>()
    })?;
    for piece in pieces {
        for (at, order) in piece {
            orders[at] = order;
        }
    }
    Ok(orders)
}

fn encode_global_dictionary(
    dictionary: GlobalDictionary,
    order: &[(u64, u32)],
) -> Result<EncodedDictionary> {
    let values = dictionary.offsets.len() - 1;
    if order.len() != values {
        return Err(invalid("global dictionary order does not cover its values"));
    }
    let blocks = values.div_ceil(TEXT_PAYLOAD_VALUES);
    let payload = encode_payload(&dictionary)?;
    if payload.len() != blocks {
        return Err(invalid("global dictionary payload is not the blocks it says it is"));
    }
    let ranks = encode_ranks(order);
    let rank_blocks = values.div_ceil(TEXT_RANK_BLOCK);
    let mut index = Vec::with_capacity(12 + (values + 1) * 4 + (blocks * 2 + rank_blocks) * 8);
    put_u32(
        &mut index,
        u32::try_from(values).map_err(|_| invalid("global dictionary has too many values"))?,
    );
    put_u32(&mut index, TEXT_PAYLOAD_VALUES as u32);
    put_u32(
        &mut index,
        u32::try_from(blocks).map_err(|_| invalid("global dictionary has too many blocks"))?,
    );
    for offset in dictionary.offsets {
        put_u32(&mut index, offset);
    }
    // Where each block ends, so a reader can find one. The stored blocks are shorter than the
    // decoded ones and by a different amount each, so this is the one thing the offsets above no
    // longer say.
    let mut at = 0_u64;
    for block in &payload {
        at = at
            .checked_add(block.len() as u64)
            .ok_or_else(|| invalid("global dictionary payload overflow"))?;
        put_u64(&mut index, at);
    }
    for block in &payload {
        put_u64(&mut index, checksum(block));
    }
    for block in ranks.chunks(TEXT_RANK_BLOCK * RANK_ENTRY) {
        put_u64(&mut index, checksum(block));
    }
    Ok(EncodedDictionary { index, ranks, payload })
}

/// How many blocks of the payload the shape is settled on.
///
/// Eight blocks is 8,192 values, which is the sample `chooser::Sampled` draws and is that size for
/// the same reason. They are spread across the dictionary rather than taken off the front, because
/// a dictionary is in the order values were first seen and the front of it is the first morsel of
/// the load.
const PAYLOAD_SAMPLE_BLOCKS: usize = 8;

/// The shapes the payload encoder picks between.
///
/// Narrow on purpose. The exhaustive search encodes every candidate at every level and runs at two
/// to six megabytes a second on this data, which over the twelve gigabytes of dictionary `hits`
/// carries is about an hour of processor time, so it cannot be what a load does. Each of these
/// settles the outer level and the one below it, which is where almost all of that hour goes, and
/// leaves the levels under them to the exhaustive search where the chunks are small enough for it
/// to cost nothing.
///
/// Measured on the five ClickBench columns that have a dictionary worth the name, at 1,024 values a
/// block, against the exhaustive search over the same blocks:
///
/// | column | exhaustive | FRONT then LZ | LZ then FSST | LZ then PLAIN |
/// |---|---|---|---|---|
/// | 2 | 2.923 at 4.3 MB/s | 2.587 at 21.2 | 2.593 at 36.1 | 2.538 at 53.6 |
/// | 13 | 3.093 at 3.1 | 3.029 at 36.4 | 2.921 at 35.7 | 2.770 at 82.9 |
/// | 14 | 2.330 at 2.1 | 2.283 at 24.3 | 2.213 at 23.5 | 2.113 at 67.6 |
/// | 39 | 2.459 at 5.3 | 2.147 at 10.6 | 2.145 at 29.3 | 2.088 at 43.1 |
/// | 56 | 4.694 at 6.3 | 4.381 at 51.0 | 4.172 at 50.6 | 3.983 at 86.8 |
///
/// The best of the three per column is 98 percent of the exhaustive ratio for a tenth of the time.
/// `FSST` and `PLAIN` on their own are in the list as a floor rather than to win. `FSST` is the
/// right answer for text that does not share prefixes with its neighbours, and `PLAIN` is there so
/// that a column nothing compresses is found out in the sample and written at a gigabyte a second
/// rather than searched for an answer that does not exist.
fn payload_shapes() -> Vec<chooser::Settled> {
    let integers = vec![integer::Kind::Packed];
    [
        vec![string::Kind::Front, string::Kind::Lz],
        vec![string::Kind::Lz, string::Kind::Fsst],
        vec![string::Kind::Lz, string::Kind::Plain],
        vec![string::Kind::Fsst],
        vec![string::Kind::Plain],
    ]
    .into_iter()
    .map(|strings| chooser::Settled::new(strings, integers.clone()))
    .collect()
}

/// The payload as encoded blocks of [`TEXT_PAYLOAD_VALUES`] values each.
///
/// Across threads because this is the only part of committing a file that is real work rather than
/// bookkeeping. The blocks are the same size and cost about the same, so an index each is enough of
/// a queue and there is nothing to weight the way the numeric synopses are weighted.
fn encode_payload(dictionary: &GlobalDictionary) -> Result<Vec<Vec<u8>>> {
    let values = dictionary.offsets.len() - 1;
    let blocks = values.div_ceil(TEXT_PAYLOAD_VALUES);
    let run = |block: usize| {
        let first = block * TEXT_PAYLOAD_VALUES;
        let last = (first + TEXT_PAYLOAD_VALUES).min(values);
        (first..last)
            .map(|value| {
                let from = dictionary.offsets[value] as usize;
                let to = dictionary.offsets[value + 1] as usize;
                &dictionary.payload[from..to]
            })
            .collect::<Vec<_>>()
    };
    // A dictionary small enough to be the sample is small enough to search in full, and searching
    // it costs less than deciding not to.
    let shape = (blocks > PAYLOAD_SAMPLE_BLOCKS).then(|| settle_shape(&run, blocks)).transpose()?;
    let one = |block: usize| match &shape {
        Some(shape) => string::encode_with(&run(block), shape),
        None => string::encode(&run(block)),
    };
    let workers = std::thread::available_parallelism()
        .map_or(1, usize::from)
        .min(MAX_FREQUENCY_WORKERS)
        .min(blocks);
    if workers <= 1 {
        return (0..blocks).map(one).collect();
    }
    let next = AtomicUsize::new(0);
    let pieces = std::thread::scope(|scope| {
        (0..workers)
            .map(|_| {
                scope.spawn(|| {
                    let mut mine = Vec::new();
                    loop {
                        let block = next.fetch_add(1, Atomic::Relaxed);
                        if block >= blocks {
                            break;
                        }
                        mine.push((block, one(block)?));
                    }
                    Ok(mine)
                })
            })
            .collect::<Vec<_>>()
            .into_iter()
            .map(|handle| {
                handle.join().map_err(|_| Error::internal("a dictionary encode worker panicked"))?
            })
            .collect::<Result<Vec<_>>>()
    })?;
    let mut payload = vec![Vec::new(); blocks];
    for piece in pieces {
        for (block, bytes) in piece {
            payload[block] = bytes;
        }
    }
    Ok(payload)
}

/// Which of [`payload_shapes`] comes out smallest over a sample of the blocks.
///
/// Every shape is encoded over the same sample and the smallest wins, which is the exhaustive
/// search moved up a level: over shapes of a column rather than over candidates of a chunk. The
/// sample is spread across the dictionary so that the first and last blocks are both in it, because
/// a dictionary written in first seen order has its common values at the front and its long tail at
/// the back, and those do not compress alike.
fn settle_shape<'a>(
    run: &dyn Fn(usize) -> Vec<&'a [u8]>,
    blocks: usize,
) -> Result<chooser::Settled> {
    let last = blocks - 1;
    let sample = (0..PAYLOAD_SAMPLE_BLOCKS)
        .map(|region| run(region * last / (PAYLOAD_SAMPLE_BLOCKS - 1)))
        .collect::<Vec<_>>();
    let mut best: Option<(chooser::Settled, usize)> = None;
    for shape in payload_shapes() {
        let mut size = 0;
        for block in &sample {
            size += string::encode_with(block, &shape)?.len();
        }
        if best.as_ref().is_none_or(|(_, smallest)| size < *smallest) {
            best = Some((shape, size));
        }
    }
    best.map(|(shape, _)| shape)
        .ok_or_else(|| invalid("no shape applies to a global dictionary payload"))
}

/// The sorted order laid out the way a reader reads it, in blocks of [`TEXT_RANK_BLOCK`] entries.
///
/// Each block holds its heads first and then its codes, rather than pairing them, because a search
/// asks for a head at every probe and for a code about once a search. Keeping the heads together
/// means a probe touches eight bytes of a block rather than twelve spread over it, and the last few
/// probes of a search, which are the ones that land in the same block, touch the same cache line.
fn encode_ranks(order: &[(u64, u32)]) -> Vec<u8> {
    let mut out = Vec::with_capacity(order.len() * RANK_ENTRY);
    for block in order.chunks(TEXT_RANK_BLOCK) {
        for &(head, _) in block {
            put_u64(&mut out, head);
        }
        for &(_, code) in block {
            put_u32(&mut out, code);
        }
    }
    out
}

fn open_global_dictionary(file: Arc<File>, page: Page, ty: &LogicalType) -> Result<Vector> {
    if ty != &LogicalType::Varchar {
        return Err(invalid("global dictionary belongs to a non-string column"));
    }
    let mut header = [0; 12];
    read_at(&file, page.offset, &mut header)?;
    let count = u32::from_le_bytes(header[0..4].try_into().expect("four bytes")) as usize;
    let per_block = u32::from_le_bytes(header[4..8].try_into().expect("four bytes")) as usize;
    let blocks = u32::from_le_bytes(header[8..12].try_into().expect("four bytes")) as usize;
    if per_block != TEXT_PAYLOAD_VALUES {
        return Err(invalid("global dictionary block width differs"));
    }
    if blocks != count.div_ceil(TEXT_PAYLOAD_VALUES) {
        return Err(invalid("global dictionary block count differs from its value count"));
    }
    let offset_len = (count + 1)
        .checked_mul(4)
        .ok_or_else(|| invalid("global dictionary offset count overflow"))?;
    // The sorted order is kept out of the index on purpose. The index is read and checksummed in
    // full the moment the column is first touched, and the order is two thirds the size of the
    // offsets, so putting it there would make every query that reads a string column pay for a
    // search that most of them never make.
    let ranks = count;
    let rank_blocks = ranks.div_ceil(TEXT_RANK_BLOCK);
    let rank_len =
        ranks.checked_mul(RANK_ENTRY).ok_or_else(|| invalid("global dictionary rank overflow"))?;
    // Two words a block, one for where it ends in the file and one for its checksum, then one a
    // rank block.
    let hash_len = blocks
        .checked_mul(2)
        .and_then(|words| words.checked_add(rank_blocks))
        .and_then(|words| words.checked_mul(8))
        .ok_or_else(|| invalid("global dictionary block count overflow"))?;
    let index_len = 12usize
        .checked_add(offset_len)
        .and_then(|len| len.checked_add(hash_len))
        .ok_or_else(|| invalid("global dictionary header overflow"))?;
    let body_len = index_len
        .checked_add(rank_len)
        .ok_or_else(|| invalid("global dictionary header overflow"))?;
    if body_len > page.length as usize {
        return Err(invalid("global dictionary offset index exceeds its page"));
    }
    let mut index = vec![0; index_len];
    index[..12].copy_from_slice(&header);
    read_at(&file, page.offset + 12, &mut index[12..])?;
    if checksum(&index) != page.hash {
        return Err(invalid("global dictionary index checksum differs"));
    }
    let offsets = index[12..12 + offset_len]
        .chunks_exact(4)
        .map(|part| u32::from_le_bytes(part.try_into().expect("four bytes")))
        .collect::<Vec<_>>();
    let mut words = index[12 + offset_len..]
        .chunks_exact(8)
        .map(|part| u64::from_le_bytes(part.try_into().expect("eight bytes")))
        .collect::<Vec<_>>();
    let mut hashes = words.split_off(blocks);
    let rank_hashes = hashes.split_off(blocks);
    let ends = words;
    // What the offsets bound is the decoded payload, and what the page holds is the stored one, so
    // the last block end is the only thing that ties the index to the length of the page.
    let stored_len = page.length as usize - body_len;
    if ends.last().copied().unwrap_or_default() as usize != stored_len
        || ends.windows(2).any(|pair| pair[0] > pair[1])
    {
        return Err(invalid("global dictionary blocks do not bound the payload"));
    }
    if offsets.first() != Some(&0) || offsets.windows(2).any(|pair| pair[0] > pair[1]) {
        return Err(invalid("global dictionary offsets do not bound the payload"));
    }
    Vector::external_text(
        LogicalType::Varchar,
        Arc::new(NativeText {
            file,
            offsets,
            ranks,
            rank_at: page.offset + index_len as u64,
            rank_hashes,
            rank_blocks: (0..rank_blocks).map(|_| OnceLock::new()).collect(),
            code_ranks: OnceLock::new(),
            payload: page.offset + body_len as u64,
            ends,
            hashes,
            blocks: (0..blocks).map(|_| OnceLock::new()).collect(),
        }),
    )
}

fn decode(
    ty: &LogicalType,
    rows: usize,
    bytes: &[u8],
    global: Option<Arc<Vector>>,
) -> Result<Vector> {
    let mut cur = Cursor { bytes, at: 0 };
    let codec = cur.u8()?;
    let flag = cur.u8()?;
    let validity = match flag {
        0 => Validity::AllValid,
        1 => Validity::AllInvalid,
        2 => {
            let mask = cur.take(rows.div_ceil(8))?;
            Validity::from_iter(rows, |row| mask[row / 8] >> (row % 8) & 1 == 1)
        }
        _ => return Err(invalid("page validity tag differs")),
    };
    if codec == 1 {
        if ty != &LogicalType::Varchar {
            return Err(invalid("dictionary codec belongs to a non-string page"));
        }
        let count = cur.u32()? as usize;
        let payload_len = cur.u32()? as usize;
        let offset_bytes = cur.take(
            (count + 1)
                .checked_mul(4)
                .ok_or_else(|| invalid("dictionary offset count overflow"))?,
        )?;
        let offsets = offset_bytes
            .chunks_exact(4)
            .map(|part| u32::from_le_bytes(part.try_into().expect("four bytes")))
            .collect::<Vec<_>>();
        let payload = cur.take(payload_len)?.to_vec();
        if offsets.first() != Some(&0)
            || offsets.last().copied().map(|last| last as usize) != Some(payload.len())
            || offsets.windows(2).any(|pair| pair[0] > pair[1])
        {
            return Err(invalid("dictionary offsets do not bound the payload"));
        }
        let mut strings = StringColumn::over(Buffer::from_vec(payload));
        for pair in offsets.windows(2) {
            strings.push_in_place(pair[0] as usize, (pair[1] - pair[0]) as usize)?;
        }
        let mut codes = Vec::with_capacity(rows);
        for _ in 0..rows {
            codes.push(cur.u32()?);
        }
        if codes.iter().any(|code| *code as usize >= count) {
            return Err(invalid("dictionary code is out of range"));
        }
        if cur.at != bytes.len() {
            return Err(invalid("dictionary page has trailing bytes"));
        }
        let dictionary = Vector::flat(LogicalType::Varchar, Data::Varlen(strings))?;
        return Ok(Vector::dictionary(codes, dictionary)?.with_validity(validity));
    }
    if codec == 3 || codec == 4 {
        let dictionary = global.ok_or_else(|| invalid("global code page has no dictionary"))?;
        let codes = if codec == 4 {
            // The cascade holds the whole tail of the page and says how long it is itself, so the
            // check that nothing is left over is the one the decoder already makes.
            let wide = integer::decode(&bytes[cur.at..])?;
            if wide.len() != rows {
                return Err(invalid("encoded code page holds the wrong number of rows"));
            }
            wide.into_iter()
                .map(|code| u32::try_from(code).map_err(|_| invalid("code is not a code")))
                .collect::<Result<Vec<u32>>>()?
        } else {
            let mut codes = Vec::with_capacity(rows);
            for _ in 0..rows {
                codes.push(cur.u32()?);
            }
            if cur.at != bytes.len() {
                return Err(invalid("global code page has trailing bytes"));
            }
            codes
        };
        let highest = codes.iter().copied().max();
        return Ok(Vector::stable_dictionary_validated(codes, dictionary, highest)?
            .with_validity(validity));
    }
    if codec == 5 {
        // The cascade holds the whole tail of the page and says how long it is itself.
        let values = integer::decode(&bytes[cur.at..])?;
        if values.len() != rows {
            return Err(invalid("cascade page holds the wrong number of rows"));
        }
        let data = narrowed(ty, values)?;
        return Ok(Vector::flat(ty.clone(), data)?.with_validity(validity));
    }
    if codec == 2 {
        let width = u32::from(cur.u8()?);
        let base = i128::from_le_bytes(cur.take(16)?.try_into().expect("sixteen bytes"));
        let count = cur.u32()? as usize;
        let mut words = Vec::with_capacity(count);
        for _ in 0..count {
            words.push(cur.u64()?);
        }
        if cur.at != bytes.len() {
            return Err(invalid("packed page has trailing bytes"));
        }
        return Ok(Vector::packed(ty.clone(), words, width, base, rows)?.with_validity(validity));
    }
    if codec != 0 {
        return Err(invalid("page codec is unknown"));
    }
    let data = match ty {
        LogicalType::TinyInt => {
            let values = cur.take(rows)?;
            Data::Int8(values.iter().map(|item| *item as i8).collect::<Vec<_>>().into())
        }
        LogicalType::UTinyInt => Data::UInt8(cur.take(rows)?.to_vec().into()),
        LogicalType::SmallInt => {
            let values =
                cur.take(rows.checked_mul(2).ok_or_else(|| invalid("page size overflow"))?)?;
            Data::Int16(
                values
                    .chunks_exact(2)
                    .map(|item| i16::from_le_bytes(item.try_into().expect("two bytes")))
                    .collect::<Vec<_>>()
                    .into(),
            )
        }
        LogicalType::USmallInt => {
            let values =
                cur.take(rows.checked_mul(2).ok_or_else(|| invalid("page size overflow"))?)?;
            Data::UInt16(
                values
                    .chunks_exact(2)
                    .map(|item| u16::from_le_bytes(item.try_into().expect("two bytes")))
                    .collect::<Vec<_>>()
                    .into(),
            )
        }
        LogicalType::UInteger => {
            let values =
                cur.take(rows.checked_mul(4).ok_or_else(|| invalid("page size overflow"))?)?;
            Data::UInt32(
                values
                    .chunks_exact(4)
                    .map(|item| u32::from_le_bytes(item.try_into().expect("four bytes")))
                    .collect::<Vec<_>>()
                    .into(),
            )
        }
        LogicalType::UBigInt => {
            let values =
                cur.take(rows.checked_mul(8).ok_or_else(|| invalid("page size overflow"))?)?;
            Data::UInt64(
                values
                    .chunks_exact(8)
                    .map(|item| u64::from_le_bytes(item.try_into().expect("eight bytes")))
                    .collect::<Vec<_>>()
                    .into(),
            )
        }
        LogicalType::Integer | LogicalType::Date => {
            let values =
                cur.take(rows.checked_mul(4).ok_or_else(|| invalid("page size overflow"))?)?;
            Data::Int32(
                values
                    .chunks_exact(4)
                    .map(|item| i32::from_le_bytes(item.try_into().expect("four bytes")))
                    .collect::<Vec<_>>()
                    .into(),
            )
        }
        LogicalType::BigInt | LogicalType::Timestamp => {
            let values =
                cur.take(rows.checked_mul(8).ok_or_else(|| invalid("page size overflow"))?)?;
            Data::Int64(
                values
                    .chunks_exact(8)
                    .map(|item| i64::from_le_bytes(item.try_into().expect("eight bytes")))
                    .collect::<Vec<_>>()
                    .into(),
            )
        }
        LogicalType::Boolean => {
            let values = cur.take(rows)?;
            if values.iter().any(|value| *value > 1) {
                return Err(invalid("boolean page has another value"));
            }
            Data::Bool(values.iter().map(|value| *value == 1).collect::<Vec<_>>().into())
        }
        LogicalType::Varchar => {
            let offset_bytes = cur
                .take((rows + 1).checked_mul(4).ok_or_else(|| invalid("offset count overflow"))?)?;
            let offsets = offset_bytes
                .chunks_exact(4)
                .map(|part| u32::from_le_bytes(part.try_into().expect("four bytes")))
                .collect::<Vec<_>>();
            let payload = cur.take(bytes.len() - cur.at)?.to_vec();
            if offsets.first() != Some(&0)
                || offsets.last().copied().map(|last| last as usize) != Some(payload.len())
                || offsets.windows(2).any(|pair| pair[0] > pair[1])
            {
                return Err(invalid("string offsets do not bound the payload"));
            }
            let mut values = StringColumn::over(Buffer::from_vec(payload));
            for pair in offsets.windows(2) {
                values.push_in_place(pair[0] as usize, (pair[1] - pair[0]) as usize)?;
            }
            Data::Varlen(values)
        }
        _ => return Err(Error::not_implemented(format!("native page for {ty}"))),
    };
    if cur.at != bytes.len() {
        return Err(invalid("page has trailing bytes"));
    }
    Ok(Vector::flat(ty.clone(), data)?.with_validity(validity))
}

#[cfg(test)]
mod tests {
    use std::fs;
    use std::io::{Seek, SeekFrom, Write};
    use std::path::PathBuf;
    use std::time::{SystemTime, UNIX_EPOCH};

    use rudb_common::Value;
    use rudb_common::bounds::Op;

    use super::*;

    #[test]
    fn checksum_matches_fixed_vectors() {
        assert_eq!(checksum(b""), 0xef46_db37_51d8_e999);
        assert_eq!(checksum(b"a"), 0xd24e_c4f1_a98c_6e5b);
        assert_eq!(checksum(b"abc"), 0x44bc_2cf5_ad77_0999);
    }

    fn path(label: &str) -> PathBuf {
        let stamp = SystemTime::now().duration_since(UNIX_EPOCH).expect("time advances").as_nanos();
        std::env::temp_dir().join(format!("rudb-native-{label}-{}-{stamp}.rdb", std::process::id()))
    }

    /// A read names the offset it wants, so a cursor somebody else moved cannot reach it.
    #[test]
    fn a_read_at_an_offset_ignores_where_another_thread_left_the_cursor() {
        const SPANS: usize = 64;
        const SPAN: usize = 512;
        let path = path("positional");
        let content: Vec<u8> =
            (0..SPANS).flat_map(|span| std::iter::repeat_n(span as u8, SPAN)).collect();
        fs::write(&path, &content).expect("the file is written");
        let file = Arc::new(File::open(&path).expect("the file opens"));
        std::thread::scope(|scope| {
            for _ in 0..8 {
                let file = Arc::clone(&file);
                scope.spawn(move || {
                    for _ in 0..64 {
                        for span in 0..SPANS {
                            let mut bytes = [0_u8; SPAN];
                            read_at(&file, (span * SPAN) as u64, &mut bytes)
                                .expect("the span reads");
                            assert!(
                                bytes.iter().all(|byte| *byte == span as u8),
                                "span {span} came back as {}",
                                bytes[0],
                            );
                        }
                    }
                });
            }
        });
        let mut past = [0_u8; SPAN];
        let end = (SPANS * SPAN) as u64;
        let error = read_at(&file, end, &mut past).expect_err("a read past the end is refused");
        assert!(error.message().contains("ends before its declared length"), "{error}");
        drop(file);
        let _ = fs::remove_file(&path);
    }

    /// The writer records where it put a page and puts it there, whatever the cursor is doing.
    ///
    /// The cursor is moved between the steps that record an offset, which is what reading the pages
    /// back to build the frequencies does on a platform with no `pread`. Without the fix the
    /// directory lands on top of a page and the file fails to reopen.
    #[test]
    fn a_writer_puts_a_page_where_it_said_it_did_wherever_the_cursor_has_got_to() {
        let path = path("cursor");
        let mut writer = Writer::create(
            &path,
            "items",
            vec![
                Field::required("id", LogicalType::Integer),
                Field::new("text", LogicalType::Varchar),
            ],
        )
        .expect("new file");
        writer.append(&sample()).expect("first part");
        writer.file.seek(SeekFrom::Start(0)).expect("the cursor goes back to the header");
        writer.append(&sample()).expect("second part");
        writer.file.seek(SeekFrom::Start(1)).expect("and somewhere useless again");
        writer.finish().expect("commit");
        let reader = Reader::open(&path).expect("reopen from disk");
        assert_eq!(reader.table().rows(), 6);
        let ids = reader.read(0, &[0]).expect("the integer page reads back");
        assert_eq!(ids.value_at(0, 0), Value::Integer(4));
        assert_eq!(ids.value_at(2, 0), Value::Integer(-2));
        let text = reader.read(1, &[1]).expect("the text page reads back");
        assert_eq!(text.value_at(1, 0), Value::Null);
        assert_eq!(text.value_at(2, 0), Value::Varchar("long text after a slash".into()));
        // Nothing the directory points at may run past the end of the file, which is the shape the
        // failure took: a page recorded at an offset the directory had already been written over.
        let end = reader.table().stripes().iter().flat_map(|stripe| {
            stripe
                .pages
                .iter()
                .map(|page| page.offset + u64::from(page.length))
                .chain(std::iter::once(stripe.index.offset + u64::from(stripe.index.length)))
        });
        let last = end.fold(HEADER, u64::max);
        let directory = fs::metadata(&path).expect("the file is there").len();
        assert!(last <= directory, "a page runs to {last} in a file of {directory} bytes");
        fs::remove_file(path).expect("remove scratch file");
    }

    fn sample() -> Chunk {
        Chunk::new(vec![
            Vector::from_values(
                LogicalType::Integer,
                &[Value::Integer(4), Value::Integer(9), Value::Integer(-2)],
            )
            .expect("integers"),
            Vector::from_values(
                LogicalType::Varchar,
                &[
                    Value::Varchar("alpha".into()),
                    Value::Null,
                    Value::Varchar("long text after a slash".into()),
                ],
            )
            .expect("strings"),
        ])
        .expect("matching rows")
    }

    fn sample_ids() -> Chunk {
        Chunk::new(vec![
            Vector::flat(LogicalType::Integer, Data::Int32(vec![7, 8, 9].into()))
                .expect("integers"),
        ])
        .expect("one column")
    }

    #[test]
    fn committed_file_reopens_and_reads_only_requested_columns() {
        let path = path("reopen");
        let mut writer = Writer::create(
            &path,
            "items",
            vec![
                Field::required("id", LogicalType::Integer),
                Field::new("text", LogicalType::Varchar),
            ],
        )
        .expect("new file");
        writer.append(&sample()).expect("first part");
        writer.append(&sample()).expect("second part");
        writer.finish().expect("commit");
        let reader = Reader::open(&path).expect("reopen from disk");
        assert_eq!(reader.table().rows(), 6);
        // Two appends below the stripe bound are two parts of one stripe, which is the whole point
        // of the split: the directory describes the stripe and the scan still reads a part.
        assert_eq!(reader.table().stripes().len(), 1);
        assert_eq!(reader.parts(), 2);
        assert_eq!(reader.part_rows(0), 3);
        assert_eq!(reader.part_rows(1), 3);
        let text = reader.read(1, &[1]).expect("only text page");
        assert_eq!(text.width(), 1);
        assert_eq!(text.value_at(1, 0), Value::Null);
        assert_eq!(text.value_at(2, 0), Value::Varchar("long text after a slash".into()));
        let sparse = reader.read_sparse(1, &[1]).expect("one part without its whole page");
        assert_eq!(sparse.width(), 1);
        assert_eq!(sparse.value_at(1, 0), Value::Null);
        assert_eq!(sparse.value_at(2, 0), Value::Varchar("long text after a slash".into()));
        assert!(!reader.skips_codes(0, 1, &[0]).expect("alpha is in the stripe"));
        assert!(!reader.skips_codes(0, 1, &[2]).expect("long text is in the stripe"));
        assert!(reader.skips_codes(0, 1, &[3]).expect("unknown code is absent"));
        let count = reader.read(0, &[]).expect("no page is needed for count");
        assert_eq!(count.len(), 3);
        assert!(reader.skips(0, &[Probe { column: 0, op: Op::Greater, value: Bound::Int(100) }]));
        assert!(!reader.skips(0, &[Probe { column: 0, op: Op::Greater, value: Bound::Int(0) }]));
        let integers = reader.top_frequencies(0, 1).expect("valid integer synopsis").expect("kept");
        assert_eq!(
            integers,
            vec![(Value::Integer(-2), 2), (Value::Integer(4), 2), (Value::Integer(9), 2),]
        );
        let strings = reader.top_frequencies(1, 1).expect("valid string synopsis").expect("kept");
        assert_eq!(strings.len(), 3);
        assert!(strings.contains(&(Value::Null, 2)));
        assert!(strings.contains(&(Value::Varchar("alpha".into()), 2)));
        assert!(strings.contains(&(Value::Varchar("long text after a slash".into()), 2)));
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Two pipeline instances handing over whole runs, which is what makes the native sink safe to
    /// instance.
    ///
    /// The runs arrive in the order the instances finished reading them rather than in source
    /// order, and the second one to finish is the one that read the earlier rows. Each run is still
    /// a stripe of its own and the table still reads back in source order, which is the whole of
    /// what the writer promises about ordering.
    #[test]
    fn runs_handed_over_out_of_order_still_read_back_in_source_order() {
        let path = path("interleaved-runs");
        let mut writer =
            Writer::create(&path, "interleaved", vec![Field::new("v", LogicalType::BigInt)])
                .expect("new file");
        for morsel in [2_u64, 0, 3, 1] {
            let parts = (0..4_u64)
                .map(|chunk| {
                    let first = i64::try_from(morsel * 32 + chunk * 8).expect("small");
                    let values =
                        (0..8_i64).map(|row| Value::BigInt(first + row)).collect::<Vec<_>>();
                    let column =
                        Vector::from_values(LogicalType::BigInt, &values).expect("a column");
                    ((morsel, chunk), Chunk::new(vec![column]).expect("one column"))
                })
                .collect::<Vec<_>>();
            writer.append_stripe(parts).expect("a stripe");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        assert_eq!(reader.table().stripes().len(), 4, "a run is a stripe of its own");
        assert_eq!(reader.table().rows(), 128);
        for part in 0..16_usize {
            let read = reader.read(part, &[0]).expect("a part back");
            for row in 0..8_usize {
                let want = i64::try_from(part * 8 + row).expect("small");
                assert_eq!(read.value_at(row, 0), Value::BigInt(want), "part {part} row {row}");
            }
        }
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Runs from different callers may interleave and may not overlap, and the commit is what
    /// catches an overlap.
    #[test]
    fn runs_that_overlap_each_other_are_refused_at_commit() {
        let path = path("overlapping-runs");
        let mut writer =
            Writer::create(&path, "overlapping", vec![Field::new("v", LogicalType::BigInt)])
                .expect("new file");
        let one = |order: (u64, u64)| {
            let column =
                Vector::from_values(LogicalType::BigInt, &[Value::BigInt(1)]).expect("a column");
            (order, Chunk::new(vec![column]).expect("one column"))
        };
        // The second run sits inside the first rather than after it, which is a thing no instance
        // holding its own contiguous run can produce and a thing the file cannot represent.
        writer.append_stripe(vec![one((0, 0)), one((0, 2))]).expect("a stripe");
        writer.append_stripe(vec![one((0, 1))]).expect("a stripe");
        let error = writer.finish().expect_err("the runs overlap");
        assert!(error.message().contains("source order"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A stripe holds [`STRIPE_PARTS`] parts, so a run longer than that is a caller bug rather than
    /// something to split, and the writer says so at the door instead of quietly cutting it in two.
    #[test]
    fn a_run_longer_than_a_stripe_is_refused() {
        let path = path("overlong-run");
        let mut writer =
            Writer::create(&path, "overlong", vec![Field::new("v", LogicalType::BigInt)])
                .expect("new file");
        let parts = (0..=STRIPE_PARTS)
            .map(|at| {
                let column = Vector::from_values(LogicalType::BigInt, &[Value::BigInt(1)])
                    .expect("a column");
                let chunk = Chunk::new(vec![column]).expect("one column");
                ((0, u64::try_from(at).expect("small")), chunk)
            })
            .collect::<Vec<_>>();
        let error = writer.append_stripe(parts).expect_err("one part too many");
        assert!(error.message().contains("more parts than it holds"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Parts past the stripe bound start a new stripe, and every part stays addressable on its own.
    ///
    /// This is the shape the format exists for, so both ends of the split are checked here. The
    /// directory holds three stripes rather than a hundred and thirty one, and a read of any one
    /// part still answers with that part's rows rather than with its whole stripe's.
    #[test]
    fn parts_past_the_stripe_bound_start_a_new_stripe() {
        let path = path("stripe-bound");
        let mut writer = Writer::create(
            &path,
            "items",
            vec![
                Field::required("id", LogicalType::Integer),
                Field::new("text", LogicalType::Varchar),
            ],
        )
        .expect("new file");
        let parts = STRIPE_PARTS * 2 + 3;
        for part in 0..parts {
            let id = part as i32;
            let chunk = Chunk::new(vec![
                Vector::from_values(
                    LogicalType::Integer,
                    &[Value::Integer(id), Value::Integer(-id)],
                )
                .expect("integers"),
                Vector::from_values(
                    LogicalType::Varchar,
                    &[Value::Varchar(format!("value {part}")), Value::Null],
                )
                .expect("strings"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        assert_eq!(reader.parts(), parts);
        assert_eq!(reader.table().rows(), parts * 2);
        assert_eq!(reader.table().stripes().len(), parts.div_ceil(STRIPE_PARTS));
        assert_eq!(reader.table().stripes()[0].parts(), STRIPE_PARTS);
        assert_eq!(reader.table().stripes()[0].rows(), STRIPE_PARTS * 2);
        assert_eq!(reader.table().stripes()[2].parts(), 3);
        // Backwards on purpose. The reader keeps four stripes a column, so a scan that walks the
        // table the other way is what catches a cache that only ever holds what it just read.
        for part in (0..parts).rev() {
            let dense = reader.read(part, &[0, 1]).expect("a whole page read");
            let sparse = reader.read_sparse(part, &[0, 1]).expect("one part read");
            for chunk in [&dense, &sparse] {
                assert_eq!(chunk.len(), 2, "part {part} has its own row count");
                assert_eq!(chunk.value_at(0, 0), Value::Integer(part as i32));
                assert_eq!(chunk.value_at(1, 0), Value::Integer(-(part as i32)));
                assert_eq!(chunk.value_at(0, 1), Value::Varchar(format!("value {part}")));
                assert_eq!(chunk.value_at(1, 1), Value::Null);
            }
        }
        // The bounds are merged over the stripe, so they answer for the range the whole stripe
        // covers and not for the part that was asked about.
        let above = [Probe { column: 0, op: Op::Greater, value: Bound::Int(100) }];
        assert!(reader.skips(0, &above), "the first stripe stops at 63");
        assert!(!reader.skips(STRIPE_PARTS * 2, &above), "the third stripe reaches 130");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A scattered value in the column that decides `WHERE UserID = ?`.
    fn scattered(n: i64) -> i64 {
        n.wrapping_mul(-7_046_029_254_386_353_131)
    }

    /// A part whose sieve does not hold the constant is skipped, and a range would skip none of them.
    ///
    /// This is ClickBench query 19 in miniature. The values are spread over the whole of `BIGINT`, so
    /// every stripe's bounds cover nearly all of it and rule out nothing, and the part that really
    /// holds the value is the only one a scan has to read.
    #[test]
    fn a_part_is_skipped_when_its_sieve_does_not_hold_the_constant() {
        let path = path("sieve-skip");
        let mut writer =
            Writer::create(&path, "hits", vec![Field::required("id", LogicalType::BigInt)])
                .expect("new file");
        let parts = STRIPE_PARTS + 3;
        // Big enough that the filter is worth its bytes. A part of eight numbers packs to under a
        // hundred bytes and the smallest filter there is is sixty nine, so a filter over a part
        // that small costs about as much to read as the rows do and is no longer written.
        let per_part = 128;
        for part in 0..parts {
            let held: Vec<Value> = (0..per_part)
                .map(|row| Value::BigInt(scattered((part * per_part + row) as i64)))
                .collect();
            let chunk =
                Chunk::new(vec![Vector::from_values(LogicalType::BigInt, &held).expect("numbers")])
                    .expect("one column");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        let probe = |value: i64| Probe {
            column: 0,
            op: Op::Equal,
            value: Bound::Int(i128::from(scattered(value))),
        };
        for wanted in [0_i64, (per_part + 1) as i64, (parts * per_part - 1) as i64] {
            let tests = [probe(wanted)];
            let kept: Vec<usize> = (0..parts).filter(|&part| !reader.skips(part, &tests)).collect();
            let home = wanted as usize / per_part;
            assert!(kept.contains(&home), "the part holding {wanted} is read");
            // A filter answers maybe, so a part it keeps need not hold the value. Sixty seven parts
            // of a hundred and twenty eight numbers each, at a dozen bits a value, is about one
            // stray part across the whole file and that is what this leaves room for.
            assert!(kept.len() <= 2, "{wanted} keeps {kept:?}, which is more than one stray part");
        }
        let absent = [probe((parts * per_part) as i64 + 1)];
        let kept = (0..parts).filter(|&part| !reader.skips(part, &absent)).count();
        assert!(kept <= 1, "{kept} parts of {parts} kept a value no part holds");
        // The same probes against the bounds alone, which is what this replaces. A column of
        // scattered numbers has a range per stripe that covers nearly the whole type.
        let tests = [probe(0)];
        assert!(
            reader.table().stripes().iter().all(|stripe| !stripe.zone.skips(&tests)),
            "the bounds rule out no stripe at all"
        );
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A sieve bigger than the part it indexes is not written, and one smaller than it still is.
    ///
    /// Both columns hold values spread over the whole of `BIGINT`, so neither gets a bitmap and both
    /// reach the filter. They differ in what the part costs to read. `spread` is a thousand distinct
    /// numbers and packs to eight kilobytes, so a filter of about thirteen hundred bytes is a good
    /// trade. `repeated` is the same thousand rows over four numbers in runs and encodes to
    /// almost nothing, but the filter is sized for the rows rather than the values it turns out to
    /// hold, so it comes out larger than the data. Reading it to decide whether to read the part spends more than
    /// the part, every time, and that is the case this drops.
    #[test]
    fn a_sieve_larger_than_the_part_it_indexes_is_not_written() {
        let path = path("sieve-pays");
        let fields = vec![
            Field::required("spread", LogicalType::BigInt),
            Field::required("repeated", LogicalType::BigInt),
        ];
        let mut writer = Writer::create(&path, "hits", fields).expect("new file");
        let parts = 3;
        let per_part = 1024;
        for part in 0..parts {
            let base = (part * per_part) as i64;
            let spread: Vec<Value> =
                (0..per_part).map(|row| Value::BigInt(scattered(base + row as i64))).collect();
            let repeated: Vec<Value> =
                (0..per_part).map(|row| Value::BigInt(scattered((row / 256) as i64))).collect();
            let chunk = Chunk::new(vec![
                Vector::from_values(LogicalType::BigInt, &spread).expect("numbers"),
                Vector::from_values(LogicalType::BigInt, &repeated).expect("numbers"),
            ])
            .expect("two columns");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        let layout = reader.layout();
        let spread = &layout.columns[0];
        let repeated = &layout.columns[1];
        assert!(spread.sieves > 0, "a column whose parts are worth a filter keeps one");
        assert_eq!(
            repeated.sieves, 0,
            "a column whose filter costs more than its parts keeps none"
        );
        // Per part this is the rule itself, so it holds over the column as well: a part without a
        // sieve adds to one side of this and to nothing on the other.
        for column in &layout.columns {
            assert!(
                column.sieves < column.pages,
                "{} spends {} on sieves over {} of data",
                column.name,
                column.sieves,
                column.pages
            );
        }
        // The filter that was kept still does what it is for.
        let absent = [Probe {
            column: 0,
            op: Op::Equal,
            value: Bound::Int(i128::from(scattered((parts * per_part) as i64 + 1))),
        }];
        assert!((0..parts).all(|part| reader.skips(part, &absent)), "no part holds it");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A damaged sieve page is a part that gets read, not a query that fails.
    ///
    /// A sieve is an index over rows that are still there and still correct, so losing one costs
    /// time and costs no answers. That is the opposite of the membership index beside it, which is
    /// the only thing standing between a string page and a wrong answer.
    #[test]
    fn a_damaged_sieve_page_is_read_through_rather_than_refused() {
        let path = path("sieve-damaged");
        let mut writer =
            Writer::create(&path, "hits", vec![Field::required("id", LogicalType::BigInt)])
                .expect("new file");
        let rows = 128;
        let held: Vec<Value> = (0..rows).map(|row| Value::BigInt(scattered(row))).collect();
        let chunk =
            Chunk::new(vec![Vector::from_values(LogicalType::BigInt, &held).expect("numbers")])
                .expect("one column");
        writer.append(&chunk).expect("one part");
        writer.finish().expect("commit");

        let page =
            Reader::open(&path).expect("reopen").table.stripes[0].sieves[0].expect("a sieve page");
        let mut file = OpenOptions::new().write(true).open(&path).expect("open the sieve page");
        file.seek(SeekFrom::Start(page.offset + u64::from(page.length) - 1)).expect("seek");
        file.write_all(&[0xff]).expect("damage one byte");
        drop(file);

        let reader = Reader::open(&path).expect("reopen the damaged file");
        let absent =
            [Probe { column: 0, op: Op::Equal, value: Bound::Int(i128::from(scattered(99))) }];
        assert!(!reader.skips(0, &absent), "a sieve that cannot be read skips nothing");
        assert_eq!(
            reader.read(0, &[0]).expect("the rows are untouched").len(),
            usize::try_from(rows).expect("a small count")
        );
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Eight workers over one stripe read it once between them.
    ///
    /// This is the shape a scan actually has. Parts are handed out in order, so every worker on a
    /// column crosses into a stripe within a few parts of the others, and before [`Reader::held`]
    /// started sharing the read every one of them read the whole page. On the full ClickBench file
    /// that was a `MIN(EventDate), MAX(EventDate)` moving 3.2 GB off the disk to look at 400 MB of
    /// column, which is most of what a first touch costs.
    ///
    /// The workers that lose the race still answer, out of the part reads they do instead, which is
    /// what the values below are checking.
    #[test]
    fn workers_that_want_the_same_stripe_read_it_once() {
        let path = path("single-flight");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("id", LogicalType::Integer)])
                .expect("new file");
        for part in 0..STRIPE_PARTS {
            let id = part as i32;
            let chunk = Chunk::new(vec![
                Vector::from_values(
                    LogicalType::Integer,
                    &[Value::Integer(id), Value::Integer(-id)],
                )
                .expect("integers"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        assert_eq!(reader.table().stripes().len(), 1, "one stripe is the point of the test");
        let barrier = std::sync::Barrier::new(8);
        std::thread::scope(|scope| {
            for worker in 0..8 {
                let reader = &reader;
                let barrier = &barrier;
                scope.spawn(move || {
                    barrier.wait();
                    for part in (worker..STRIPE_PARTS).step_by(8) {
                        let chunk = reader.read(part, &[0]).expect("a whole page read");
                        assert_eq!(chunk.value_at(0, 0), Value::Integer(part as i32));
                        assert_eq!(chunk.value_at(1, 0), Value::Integer(-(part as i32)));
                    }
                });
            }
        });
        assert_eq!(reader.pages.load(Atomic::Relaxed), 1, "one stripe, one page read, whoever won");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Opening a file reads the header and the directory, and nothing that depends on the rows.
    ///
    /// `spec/stats/04-in-memory.md` section 4.2. There are no statistics in the file yet, so this
    /// holds today by not having anything to load, and that is exactly why it is worth pinning now.
    /// The change that breaks it is the reasonable looking one: summaries are a few hundred bytes,
    /// the next query will want them, so read them on the way past. A process that opened the
    /// database to run one trivial query pays for all of it and gets nothing.
    ///
    /// Two files of the same shape and a thousand times the rows in one of them, opened, and the
    /// two openings cost the same. The stripe count is held equal so that the directory is the same
    /// size in both, which leaves the rows as the only thing that changed. Anything read out of the
    /// data would show up here.
    #[test]
    fn opening_costs_the_same_over_a_thousand_times_the_rows() {
        let opened = |label: &str, rows_per_part: i32| {
            let path = path(label);
            let mut writer =
                Writer::create(&path, "items", vec![Field::required("id", LogicalType::Integer)])
                    .expect("new file");
            for part in 0..STRIPE_PARTS * 3 {
                // Scrambled rather than sequential, so that the fat file is actually fatter. A run
                // of consecutive integers encodes to almost nothing and would leave the two files
                // the same size, which would make this test pass for the wrong reason.
                let values = (0..rows_per_part)
                    .map(|row| {
                        Value::Integer((part as i32 * rows_per_part + row).wrapping_mul(2_654_435))
                    })
                    .collect::<Vec<_>>();
                let chunk = Chunk::new(vec![
                    Vector::from_values(LogicalType::Integer, &values).expect("integers"),
                ])
                .expect("matching rows");
                writer.append(&chunk).expect("one part");
            }
            writer.finish().expect("commit");
            let reader = Reader::open(&path).expect("reopen from disk");
            let size = fs::metadata(&path).expect("the file is there").len();
            let out = (reader.reads(), reader.table().stripes().len(), size);
            fs::remove_file(path).expect("remove scratch file");
            out
        };

        let (thin, thin_stripes, thin_size) = opened("open-thin", 1);
        let (fat, fat_stripes, fat_size) = opened("open-fat", 1000);
        assert_eq!(
            thin_stripes, fat_stripes,
            "the same stripe count is what makes this a fair ask"
        );
        assert!(
            fat_size > thin_size * 50,
            "the fat file has to actually be larger, and it is {fat_size} against {thin_size}"
        );

        assert_eq!(thin.opening.reads, fat.opening.reads, "the same reads either way");
        assert_eq!(thin.pages, 0, "opening read a page");
        assert_eq!(fat.pages, 0, "opening read a page");
        assert_eq!(thin.indexes, 0, "opening read an index");
        assert_eq!(fat.indexes, 0, "opening read an index");
        // Not exactly equal, because a directory holds offsets and a larger file has larger ones,
        // and a handful of bytes of varint is not somebody loading statistics. A factor is.
        assert!(
            fat.opening.bytes < thin.opening.bytes * 2,
            "opening the thin file read {} bytes and the fat one read {}",
            thin.opening.bytes,
            fat.opening.bytes
        );
    }

    /// The reads a file costs to open are fixed by its shape and not by what ran before.
    ///
    /// `spec/stats/04-in-memory.md` section 4.3, which is the rule that keeps a plan reproducible:
    /// the plan is a function of the data, the generation and the settings, and never of what
    /// happened to be in cache. Opening the same file twice in the same process has to cost the
    /// same, because a second open that read less would be an open that was about to plan
    /// differently.
    #[test]
    fn two_opens_of_one_file_cost_the_same_and_the_second_is_not_cheaper() {
        let path = path("open-twice");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("id", LogicalType::Integer)])
                .expect("new file");
        for part in 0..STRIPE_PARTS * 3 {
            let chunk = Chunk::new(vec![
                Vector::from_values(LogicalType::Integer, &[Value::Integer(part as i32)])
                    .expect("integers"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let first = Reader::open(&path).expect("open");
        // A whole scan in between, so the operating system's page cache is as warm as it gets and
        // anything that consulted it would show up in the second open.
        for part in 0..first.parts() {
            first.read(part, &[0]).expect("a part");
        }
        assert!(first.reads().pages > 0, "the scan has to have read something");
        let second = Reader::open(&path).expect("open again");

        assert_eq!(first.reads().opening, second.reads().opening);
        assert_eq!(
            second.reads().pages,
            0,
            "the second open read a page off the back of the first"
        );
        assert_eq!(second.reads().indexes, 0, "the second open read an index it inherited");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A scan reads a stripe's index once for the whole scan, not once per part that misses.
    ///
    /// The page cache holds four stripes and an index used to ride inside it, so a table with more
    /// stripes than that read the index again every time a stripe came back around. The index is a
    /// few hundred bytes and the page is a quarter of a megabyte, which is why they are now under
    /// different budgets. This is the test that keeps them there, since the saving is small enough
    /// that nothing in a benchmark would notice it going away again.
    #[test]
    fn an_index_is_read_once_per_stripe_however_often_the_page_is_evicted() {
        let path = path("index-cache");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("id", LogicalType::Integer)])
                .expect("new file");
        let parts = STRIPE_PARTS * (CACHED_STRIPES_PER_COLUMN + 2);
        for part in 0..parts {
            let id = part as i32;
            let chunk = Chunk::new(vec![
                Vector::from_values(LogicalType::Integer, &[Value::Integer(id)]).expect("integers"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        let stripes = reader.table().stripes().len();
        assert!(stripes > CACHED_STRIPES_PER_COLUMN, "the page cache has to be too small for this");
        // Twice over, so that the second pass finds every page evicted and every index kept.
        for _ in 0..2 {
            for part in 0..parts {
                let chunk = reader.read(part, &[0]).expect("a part");
                assert_eq!(chunk.value_at(0, 0), Value::Integer(part as i32));
            }
        }
        assert_eq!(reader.indexes.load(Atomic::Relaxed), stripes, "one index read per stripe");
        assert!(
            reader.pages.load(Atomic::Relaxed) > stripes,
            "the pages are the ones that get read again, which is what makes the index count mean \
             something"
        );
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A worker per stripe reads its stripe once, once the cache has been told how many there are.
    ///
    /// This is the shape a scan has when it hands out a whole stripe per morsel rather than a part.
    /// Nobody races for a page any more, but every worker holds a different one for the length of a
    /// stripe, so a cache that keeps four pages while eight workers are in eight stripes evicts
    /// every one of them before its owner has finished with it, and the owner reads a quarter of a
    /// megabyte again for the next part. The barrier is what makes that certain rather than likely:
    /// without it a worker can run a whole stripe before the next one starts and never collide.
    #[test]
    fn a_worker_per_stripe_reads_its_page_once_when_the_cache_was_told_to_expect_it() {
        let workers = CACHED_STRIPES_PER_COLUMN + 4;
        let path = path("stripe-per-worker");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("id", LogicalType::Integer)])
                .expect("new file");
        for part in 0..STRIPE_PARTS * workers {
            let chunk = Chunk::new(vec![
                Vector::from_values(LogicalType::Integer, &[Value::Integer(part as i32)])
                    .expect("integers"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("one part");
        }
        writer.finish().expect("commit");

        let read = |told: bool| {
            let reader = Reader::open(&path).expect("reopen from disk");
            assert_eq!(reader.table().stripes().len(), workers, "a stripe per worker");
            if told {
                reader.keep_stripes(workers);
            }
            let barrier = std::sync::Barrier::new(workers);
            std::thread::scope(|scope| {
                for (worker, run) in reader.stripe_parts().into_iter().enumerate() {
                    let reader = &reader;
                    let barrier = &barrier;
                    scope.spawn(move || {
                        for part in run {
                            barrier.wait();
                            let chunk = reader.read(part, &[0]).expect("a part of my own stripe");
                            assert_eq!(chunk.value_at(0, 0), Value::Integer(part as i32));
                        }
                        assert!(worker < workers);
                    });
                }
            });
            reader.pages.load(Atomic::Relaxed)
        };

        assert_eq!(read(true), workers, "one page read per stripe and no more");
        assert!(read(false) > workers, "a cache that small is read again on every part");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A damaged index page is caught before anything decodes a part out of it.
    ///
    /// The index is the one structure a reader trusts to find bytes with, so it carries a checksum
    /// per column section rather than one for the page, and this is what says that check runs.
    #[test]
    fn a_damaged_index_page_is_an_error() {
        let path = path("damaged-index");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("id", LogicalType::Integer)])
                .expect("new file");
        writer.append(&sample_ids()).expect("first part");
        writer.append(&sample_ids()).expect("second part");
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        let index = reader.table.stripes[0].index;
        let mut byte = [0; 1];
        read_at(&reader.file, index.offset, &mut byte).expect("the first part length");
        let mut file = OpenOptions::new().write(true).open(&path).expect("open index page");
        file.seek(SeekFrom::Start(index.offset)).expect("index start");
        file.write_all(&[!byte[0]]).expect("damage the first part length");
        let error = reader.read(1, &[0]).expect_err("a damaged index must not be used");
        assert!(error.message().contains("index page section checksum differs"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Every integer width the format knows about, written and read back.
    ///
    /// The unsigned ones are the reason ClickBench can be stored at all: `hits` types `EventDate`
    /// as `USMALLINT`, and one unsupported column meant the whole table was refused. The extremes
    /// are in here on purpose, because a width that round trips through the wrong signedness only
    /// goes wrong at the end of its range.
    #[test]
    fn every_integer_width_round_trips_through_a_page() {
        let path = path("integer-widths");
        let columns = [
            (LogicalType::TinyInt, vec![Value::TinyInt(i8::MIN), Value::TinyInt(i8::MAX)]),
            (LogicalType::UTinyInt, vec![Value::UTinyInt(0), Value::UTinyInt(u8::MAX)]),
            (LogicalType::SmallInt, vec![Value::SmallInt(i16::MIN), Value::SmallInt(i16::MAX)]),
            (LogicalType::USmallInt, vec![Value::USmallInt(0), Value::USmallInt(u16::MAX)]),
            (LogicalType::Integer, vec![Value::Integer(i32::MIN), Value::Integer(i32::MAX)]),
            (LogicalType::UInteger, vec![Value::UInteger(0), Value::UInteger(u32::MAX)]),
            (LogicalType::BigInt, vec![Value::BigInt(i64::MIN), Value::BigInt(i64::MAX)]),
            (LogicalType::UBigInt, vec![Value::UBigInt(0), Value::UBigInt(u64::MAX)]),
        ];
        let fields = columns
            .iter()
            .enumerate()
            .map(|(at, (ty, _))| Field::required(format!("c{at}"), ty.clone()))
            .collect::<Vec<_>>();
        let vectors = columns
            .iter()
            .map(|(ty, values)| Vector::from_values(ty.clone(), values).expect("a vector"))
            .collect::<Vec<_>>();
        let mut writer = Writer::create(&path, "widths", fields).expect("new file");
        writer.append(&Chunk::new(vectors).expect("matching rows")).expect("one stripe");
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        let wanted = (0..columns.len()).collect::<Vec<_>>();
        let read = reader.read(0, &wanted).expect("every column");
        assert_eq!(read.len(), 2);
        // row at a time: each column has its own type and its own pair of extremes.
        for (at, (ty, values)) in columns.iter().enumerate() {
            assert_eq!(read.value_at(0, at), values[0], "the low end of {ty}");
            assert_eq!(read.value_at(1, at), values[1], "the high end of {ty}");
        }
        fs::remove_file(path).expect("remove scratch file");
    }

    #[test]
    fn numeric_frequency_candidates_keep_bounded_row_ordinals() {
        let path = path("frequency-ordinals");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("id", LogicalType::BigInt)])
                .expect("new file");
        let mut values = Vec::new();
        for leader in 0..10_i64 {
            values.extend(std::iter::repeat_n(leader, 100));
        }
        values.extend(1_000_i64..41_000);
        for part in values.chunks(1_024) {
            let vector = Vector::flat(LogicalType::BigInt, Data::Int64(part.to_vec().into()))
                .expect("big integers");
            writer.append(&Chunk::new(vec![vector]).expect("one column")).expect("one stripe");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        let occurrences =
            reader.frequency_occurrences(0).expect("valid metadata").expect("bounded ordinals");
        assert!(occurrences.omitted_max < 100);
        assert!(occurrences.ordinals.len() <= FREQUENCY_ORDINALS);
        assert!(occurrences.ordinals.windows(2).all(|pair| pair[0] < pair[1]));
        assert_eq!(&occurrences.ordinals[..1_000], &(0_u64..1_000).collect::<Vec<_>>());
        fs::remove_file(path).expect("remove scratch file");
    }

    /// The bug this is here for cost a 43 GB ClickBench table and an hour of reloading it. The
    /// format went from 11 to 12, every binary built after that said "magic or major version is
    /// unsupported" about the file, and there was no way to tell from the message whether the path
    /// was wrong, the file was truncated, or it was ours and simply older. The number this build
    /// wants is the whole answer and it was the one thing the message did not carry.
    #[test]
    fn a_file_from_another_format_says_which_format_it_is() {
        let older = path("older-format");
        let mut writer =
            Writer::create(&older, "items", vec![Field::new("id", LogicalType::Integer)])
                .expect("new file");
        let chunk = Chunk::new(vec![
            Vector::flat(LogicalType::Integer, Data::Int32(vec![1, 2, 3].into()))
                .expect("integers"),
        ])
        .expect("chunk");
        writer.append(&chunk).expect("page written");
        writer.finish().expect("commit");

        let mut file = OpenOptions::new().write(true).open(&older).expect("open for the header");
        file.seek(SeekFrom::Start(8)).expect("the version follows the magic");
        file.write_all(&(FORMAT - 1).to_le_bytes()).expect("write an older version");
        drop(file);
        let complaint = Reader::open(&older).expect_err("an older format is refused").to_string();
        assert!(complaint.contains(&format!("format {}", FORMAT - 1)), "{complaint}");
        assert!(complaint.contains(&format!("format {FORMAT}")), "{complaint}");

        let mut file = OpenOptions::new().write(true).open(&older).expect("open for the header");
        file.seek(SeekFrom::Start(0)).expect("the magic is first");
        file.write_all(b"NOTRUDB!").expect("write another engine's magic");
        drop(file);
        let complaint = Reader::open(&older).expect_err("a foreign file is refused").to_string();
        assert!(complaint.contains("magic"), "{complaint}");
        assert!(!complaint.contains("format"), "a version has nothing to do with it: {complaint}");
        fs::remove_file(older).expect("remove scratch file");
    }

    #[test]
    fn an_unfinished_or_damaged_file_does_not_answer_with_partial_rows() {
        let unfinished = path("unfinished");
        let mut writer =
            Writer::create(&unfinished, "items", vec![Field::new("id", LogicalType::Integer)])
                .expect("new file");
        let chunk = Chunk::new(vec![
            Vector::flat(LogicalType::Integer, Data::Int32(vec![1, 2, 3].into()))
                .expect("integers"),
        ])
        .expect("chunk");
        writer.append(&chunk).expect("page written");
        drop(writer);
        assert!(Reader::open(&unfinished).is_err(), "no directory was committed");
        fs::remove_file(unfinished).expect("remove scratch file");

        let damaged = path("damaged");
        let mut writer =
            Writer::create(&damaged, "items", vec![Field::new("id", LogicalType::Integer)])
                .expect("new file");
        writer.append(&chunk).expect("page written");
        writer.finish().expect("commit");
        let reader = Reader::open(&damaged).expect("valid directory");
        let mut file =
            OpenOptions::new().write(true).open(&damaged).expect("open for a damaged page");
        file.seek(SeekFrom::Start(HEADER + 1)).expect("inside first page");
        file.write_all(&[255]).expect("damage one byte");
        assert!(reader.read(0, &[0]).is_err(), "page checksum rejects corruption");
        fs::remove_file(damaged).expect("remove scratch file");
    }

    #[test]
    fn damaged_lazy_dictionary_payload_is_an_error() {
        let path = path("damaged-dictionary");
        let mut writer = Writer::create(
            &path,
            "items",
            vec![
                Field::required("id", LogicalType::Integer),
                Field::new("text", LogicalType::Varchar),
            ],
        )
        .expect("new file");
        writer.append(&sample()).expect("stripe written");
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        let dictionary = reader.table.dictionaries[1].expect("string dictionary page");
        // Read the count out of the page rather than writing it here, so that adding something
        // else to the index does not silently turn this into a test that damages the index.
        let mut header = [0; 12];
        read_at(&reader.file, dictionary.offset, &mut header).expect("dictionary header");
        let count = u64::from(u32::from_le_bytes(header[0..4].try_into().expect("four bytes")));
        let blocks = u64::from(u32::from_le_bytes(header[8..12].try_into().expect("four bytes")));
        let rank_blocks = count.div_ceil(TEXT_RANK_BLOCK as u64);
        let index_len =
            12 + (count + 1) * 4 + (blocks * 2 + rank_blocks) * 8 + count * RANK_ENTRY as u64;
        let mut file = OpenOptions::new().write(true).open(&path).expect("open dictionary page");
        file.seek(SeekFrom::Start(dictionary.offset + index_len))
            .expect("inside dictionary payload");
        file.write_all(&[255]).expect("damage dictionary payload");

        let chunk = reader.read(0, &[1]).expect("code page and dictionary index remain valid");
        let error =
            chunk.validate_external().expect_err("payload corruption must reach the caller");
        assert!(error.message().contains("payload checksum differs"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// A payload of many blocks reads and checks every block of it.
    ///
    /// The test above has a dictionary of three values, which is one block, so it says nothing
    /// about a reader finding the right block among many. This one has thirty thousand values,
    /// which is thirty blocks, and it reads a value out of the first block and a value out of the
    /// last and then damages the last and asks for it again.
    #[test]
    fn a_dictionary_over_many_blocks_checks_every_block_of_it() {
        let path = path("dictionary-blocks");
        let value =
            |row: usize| format!("{row:07} a value long enough to be worth a payload block");
        let parts = 30;
        let per_part = 1000;
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("text", LogicalType::Varchar)])
                .expect("new file");
        for part in 0..parts {
            let values = (0..per_part)
                .map(|row| Value::Varchar(value(part * per_part + row)))
                .collect::<Vec<_>>();
            let chunk = Chunk::new(vec![
                Vector::from_values(LogicalType::Varchar, &values).expect("strings"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("a part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        let dictionary = reader.table.dictionaries[0].expect("string dictionary page");
        assert!(
            parts * per_part > TEXT_PAYLOAD_VALUES * 4,
            "the dictionary has to be several blocks for this to be testing anything"
        );
        for part in [0, parts - 1] {
            let chunk = reader.read(part, &[0]).expect("a part");
            chunk.validate_external().expect("every payload block checks out");
            assert_eq!(chunk.value_at(0, 0), Value::Varchar(value(part * per_part)));
        }

        let mut file = OpenOptions::new().write(true).open(&path).expect("open dictionary page");
        file.seek(SeekFrom::Start(dictionary.offset + u64::from(dictionary.length) - 4))
            .expect("the last bytes of the page are payload");
        file.write_all(&[255]).expect("damage the last payload block");
        let reader = Reader::open(&path).expect("the directory and the index are untouched");
        let chunk = reader.read(parts - 1, &[0]).expect("the code page remains valid");
        let error = chunk.validate_external().expect_err("the damage must reach the caller");
        assert!(error.message().contains("payload checksum differs"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Every worker of a scan wants the dictionary at the same moment and one of them fetches it.
    ///
    /// Asking a `OnceLock` whether it holds something answers the question a worker that already has
    /// the dictionary is asking and not the one a worker without it is asking, which is whether
    /// somebody is already on their way with it. Sixteen workers that all miss will all read the
    /// page, all verify it and all decode it, and fifteen will drop the result. Nothing about that
    /// is incorrect, which is why it went unnoticed, and it showed up as ClickBench 38 getting
    /// slower when the scan in front of it got faster and stopped staggering the arrivals.
    ///
    /// The barrier is what makes the test about that rather than about luck. Without it the first
    /// thread is usually finished before the last one starts and the count is one either way.
    #[test]
    fn a_global_dictionary_is_opened_once_however_many_workers_ask_at_once() {
        let path = path("dictionary-once");
        let parts = 8;
        let per_part = 500;
        let value =
            |row: usize| format!("{row:07} a value long enough to be worth a payload block");
        let mut writer =
            Writer::create(&path, "items", vec![Field::required("text", LogicalType::Varchar)])
                .expect("new file");
        for part in 0..parts {
            let values = (0..per_part)
                .map(|row| Value::Varchar(value(part * per_part + row)))
                .collect::<Vec<_>>();
            let chunk = Chunk::new(vec![
                Vector::from_values(LogicalType::Varchar, &values).expect("strings"),
            ])
            .expect("matching rows");
            writer.append(&chunk).expect("a part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("reopen from disk");
        assert!(reader.table.dictionaries[0].is_some(), "the column has to have one to share");
        assert_eq!(reader.reads().dictionaries, 0, "opening the file does not open a dictionary");

        let workers = 16;
        let gate = std::sync::Barrier::new(workers);
        std::thread::scope(|scope| {
            for worker in 0..workers {
                let reader = reader.clone();
                let gate = &gate;
                scope.spawn(move || {
                    gate.wait();
                    let chunk = reader.read(worker % parts, &[0]).expect("a part");
                    assert_eq!(
                        chunk.value_at(0, 0),
                        Value::Varchar(value((worker % parts) * per_part))
                    );
                });
            }
        });

        assert_eq!(reader.reads().dictionaries, 1, "sixteen workers, one dictionary, one open");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// The sorted order sits outside the index the page checksum covers, because a query that
    /// never searches a dictionary should not read it, so it carries its own checksums and this is
    /// what says they are checked. A search that trusted a damaged order would give a wrong answer
    /// rather than a slow one.
    #[test]
    fn a_damaged_sorted_order_is_an_error() {
        let path = path("damaged-order");
        let mut writer = Writer::create(
            &path,
            "items",
            vec![
                Field::required("id", LogicalType::Integer),
                Field::new("text", LogicalType::Varchar),
            ],
        )
        .expect("new file");
        writer.append(&sample()).expect("stripe written");
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        let page = reader.table.dictionaries[1].expect("string dictionary page");
        let mut header = [0; 12];
        read_at(&reader.file, page.offset, &mut header).expect("dictionary header");
        let count = u64::from(u32::from_le_bytes(header[0..4].try_into().expect("four bytes")));
        let blocks = u64::from(u32::from_le_bytes(header[8..12].try_into().expect("four bytes")));
        let rank_blocks = count.div_ceil(TEXT_RANK_BLOCK as u64);
        let index_len = 12 + (count + 1) * 4 + (blocks * 2 + rank_blocks) * 8;
        let mut file = OpenOptions::new().write(true).open(&path).expect("open dictionary page");
        file.seek(SeekFrom::Start(page.offset + index_len)).expect("the first head");
        file.write_all(&[255]).expect("damage the order");

        let dictionary = reader.dictionary(1).expect("read").expect("a string column has one");
        let error = dictionary.compare_rank(0, b"anything").expect_err("a damaged order is caught");
        assert!(error.message().contains("rank checksum differs"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    /// Codes stay in first appearance order and the sorted order is written beside them, so a
    /// reader can put the values back in order without the writer having had to know them all
    /// before it handed out the first code.
    #[test]
    fn a_global_dictionary_carries_the_sorted_order_of_its_values() {
        // Chosen so the sort cannot be decided on the first eight bytes alone. Three values share
        // a nine byte prefix, one is a prefix of another, and one is empty.
        let spellings = ["overlong1z", "b", "", "overlong1a", "overlong", "ab", "a", "overlong1"];
        let path = path("dictionary-order");
        let mut writer =
            Writer::create(&path, "items", vec![Field::new("text", LogicalType::Varchar)])
                .expect("new file");
        writer
            .append(
                &Chunk::new(vec![
                    Vector::from_values(
                        LogicalType::Varchar,
                        &spellings.map(|text| Value::Varchar(text.into())),
                    )
                    .expect("strings"),
                ])
                .expect("one column"),
            )
            .expect("stripe written");
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        let dictionary = reader.dictionary(0).expect("read").expect("a string column has one");
        let count = dictionary.ranks().expect("a v10 file stores one");
        assert_eq!(count, spellings.len(), "every distinct value has a rank");
        let order = (0..count)
            .map(|rank| dictionary.code_at_rank(rank).expect("a code"))
            .collect::<Vec<_>>();
        let mut seen = order.clone();
        seen.sort_unstable();
        assert_eq!(seen, (0..spellings.len() as u32).collect::<Vec<_>>(), "a permutation of codes");

        let ranked = order
            .iter()
            .map(|&code| {
                dictionary.try_bytes_at(code as usize).expect("read").expect("a value").to_vec()
            })
            .collect::<Vec<_>>();
        let mut expected = spellings.map(|text| text.as_bytes().to_vec()).to_vec();
        expected.sort();
        assert_eq!(ranked, expected, "rank order is value order");

        // What a search asks, on the values themselves rather than through a kernel, so that a
        // file whose heads disagree with its bytes is caught here rather than as a wrong answer.
        for (rank, value) in expected.iter().enumerate() {
            assert_eq!(
                dictionary.compare_rank(rank, value).expect("compare"),
                Ordering::Equal,
                "rank {rank} is its own value"
            );
            if rank > 0 {
                assert_eq!(
                    dictionary.compare_rank(rank - 1, value).expect("compare"),
                    Ordering::Less,
                    "rank {rank} follows the one before it"
                );
            }
        }
        fs::remove_file(path).expect("remove scratch file");
    }

    #[test]
    fn damaged_membership_cannot_skip_a_string_page() {
        let path = path("damaged-membership");
        let mut writer = Writer::create(
            &path,
            "items",
            vec![
                Field::required("id", LogicalType::Integer),
                Field::new("text", LogicalType::Varchar),
            ],
        )
        .expect("new file");
        writer.append(&sample()).expect("stripe written");
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        let membership = reader.table.stripes[0].memberships[1].expect("string membership");
        let mut file = OpenOptions::new().write(true).open(&path).expect("open membership page");
        file.seek(SeekFrom::Start(membership.offset)).expect("membership start");
        file.write_all(&[255]).expect("damage membership");
        let error = reader.skips_codes(0, 1, &[3]).expect_err("corruption must not skip rows");
        assert!(error.message().contains("membership page checksum differs"), "{error}");
        fs::remove_file(path).expect("remove scratch file");
    }

    #[test]
    fn membership_delta_stream_is_sorted_exact_and_bounded() {
        let unique = unique_codes(&[900, 4, 4, 72, 9, u32::MAX]);
        assert_eq!(unique, [4, 9, 72, 900, u32::MAX]);
        let encoded = encode_membership(&unique);
        assert_eq!(
            decode_membership(&encoded).expect("valid membership"),
            [4, 9, 72, 900, u32::MAX]
        );
        // A stripe's index is the union of its parts', so a code in two of them is in it once and
        // the result is still one ascending run of deltas.
        let merged = merged_codes(vec![vec![4, 900], vec![9, 900, u32::MAX], vec![72]]);
        assert_eq!(merged, [4, 9, 72, 900, u32::MAX]);
        assert_eq!(
            decode_membership(&encode_membership(&merged)).expect("valid membership"),
            unique
        );
        assert!(decode_membership(&[1, 0x80]).is_err(), "a truncated varint is invalid");
        assert!(
            decode_membership(&[1, 0xff, 0xff, 0xff, 0xff, 0x10]).is_err(),
            "a value past u32 is invalid"
        );
    }

    #[test]
    fn a_global_dictionary_may_be_larger_than_one_column_page() {
        let dictionary = Page {
            offset: HEADER,
            length: u32::try_from(MAX_PAGE + 1).expect("the page bound fits on disk"),
            hash: 0,
        };
        let table = Table {
            name: "items".to_owned(),
            fields: vec![Field::new("text", LogicalType::Varchar)],
            stripes: Vec::new(),
            rows: 0,
            dictionaries: vec![Some(dictionary)],
            frequencies: vec![None],
        };
        let directory = encode_directory(&table).expect("directory");
        let file_size = dictionary.offset + u64::from(dictionary.length) + 1;

        let decoded = decode_directory(&directory, file_size).expect("large lazy dictionary");
        assert_eq!(decoded.dictionaries[0].expect("dictionary").length, dictionary.length);
    }

    #[test]
    fn a_column_with_one_value_everywhere_costs_almost_nothing_a_row() {
        let path = path("constant-codes");
        let mut writer =
            Writer::create(&path, "items", vec![Field::new("text", LogicalType::Varchar)])
                .expect("new file");
        let empty = vec![Value::Varchar(String::new()); 1024];
        for _ in 0..4 {
            let column = Vector::from_values(LogicalType::Varchar, &empty).expect("strings");
            writer.append(&Chunk::new(vec![column]).expect("one column")).expect("a part");
        }
        writer.finish().expect("commit");

        let reader = Reader::open(&path).expect("valid directory");
        let pages = reader.layout().columns.first().expect("one column").pages;
        // This column used to cost four bytes a row, 16,384 of them, the same as a column of four
        // thousand distinct URLs would. The cascade calls each part a constant, so what is left is
        // a tag, a count and the value, and the row count stops being what drives the number.
        assert!(pages < 256, "{pages} bytes of pages for 4,096 rows of one value");
        let read = reader.read(3, &[0]).expect("the last part back");
        assert_eq!(read.value_at(0, 0), Value::Varchar(String::new()));
        assert_eq!(read.value_at(1023, 0), Value::Varchar(String::new()));
        fs::remove_file(path).expect("remove scratch file");
    }

    #[test]
    fn a_cascade_value_too_wide_for_its_column_is_refused_rather_than_cut() {
        // What a damaged page looks like from here: the cascade decoded, so the bytes are not
        // truncated, but the values do not belong to the column the directory says they do.
        let over = vec![i64::from(i32::MAX) + 1];
        let error = narrowed(&LogicalType::Integer, over).expect_err("a page that disagrees");
        assert!(format!("{error}").contains("not of its type"), "{error}");
        assert!(narrowed(&LogicalType::BigInt, vec![i64::MIN]).is_ok(), "bigint holds all of i64");
        assert!(narrowed(&LogicalType::Varchar, vec![0]).is_err(), "strings are not integers");
    }

    #[test]
    fn a_code_stream_the_cascade_cannot_shrink_is_left_alone() {
        // A shift register rather than a run, because an arithmetic run is the one wide shape the
        // cascade does shrink. This is what a column with tens of millions of distinct values hands
        // over: full width codes with no order to them.
        let mut state: u32 = 0x9e37_79b9;
        let spread: Vec<u32> = (0..1024)
            .map(|_| {
                state ^= state << 13;
                state ^= state >> 17;
                state ^= state << 5;
                state
            })
            .collect();
        assert_eq!(encoded_codes(&spread).expect("no failure"), None);
        let near: Vec<u32> = (0..1024).collect();
        let coded = encoded_codes(&near).expect("no failure").expect("counting up is packable");
        assert!(coded.len() < near.len() * 4, "{} bytes for a run of 1,024", coded.len());
    }

    /// The columns of a stripe are encoded on whichever thread got to them, so the one thing that
    /// must not depend on which thread that was is the file. Two writes of the same rows are
    /// compared byte for byte rather than value for value, because a dictionary that two columns
    /// somehow shared would still read back correctly and would hand out its codes in the order the
    /// threads happened to run in, which is exactly what this is here to catch.
    #[test]
    fn two_writes_of_the_same_rows_give_the_same_bytes() {
        fn written(path: &PathBuf) {
            let fields = (0..40)
                .map(|column| {
                    let ty =
                        if column % 4 == 0 { LogicalType::Varchar } else { LogicalType::BigInt };
                    Field::new(format!("c{column}"), ty)
                })
                .collect::<Vec<_>>();
            let mut writer = Writer::create(path, "wide", fields).expect("new file");
            for part in 0..70_u64 {
                let columns = (0..40)
                    .map(|column| {
                        let values = (0..64_u64)
                            .map(|row| {
                                let seed = part.wrapping_mul(31).wrapping_add(row);
                                if column % 4 == 0 {
                                    Value::Varchar(format!("v{}", seed % 17))
                                } else {
                                    Value::BigInt(i64::try_from(seed % 97).expect("small"))
                                }
                            })
                            .collect::<Vec<_>>();
                        let ty = if column % 4 == 0 {
                            LogicalType::Varchar
                        } else {
                            LogicalType::BigInt
                        };
                        Vector::from_values(ty, &values).expect("a column")
                    })
                    .collect::<Vec<_>>();
                writer.append(&Chunk::new(columns).expect("forty columns")).expect("a part");
            }
            writer.finish().expect("commit");
        }

        let first = path("repeatable-one");
        let second = path("repeatable-two");
        written(&first);
        written(&second);
        let left = fs::read(&first).expect("the first file");
        let right = fs::read(&second).expect("the second file");
        assert_eq!(left.len(), right.len(), "two writes of the same rows differ in length");
        assert!(left == right, "two writes of the same rows differ in their bytes");

        // And the rows are still there, since a pair of identically wrong files would pass the
        // comparison above on its own.
        let reader = Reader::open(&first).expect("valid directory");
        assert_eq!(reader.table().rows(), 70 * 64);
        let read = reader.read(0, &[0, 1]).expect("the first part back");
        assert_eq!(read.value_at(0, 0), Value::Varchar("v0".to_owned()));
        assert_eq!(read.value_at(0, 1), Value::BigInt(0));
        fs::remove_file(first).expect("remove scratch file");
        fs::remove_file(second).expect("remove scratch file");
    }
}