lora-database 0.16.1

LoraDB — embeddable in-memory graph database with Cypher query support.
Documentation
//! Query-execute family on [`Database<S>`].
//!
//! These methods cover the `execute_*` and `execute_rows_*` entry points
//! plus the cooperative-deadline variants and the plan-cache-backed
//! compile path. The actual write routing (optimistic OCC vs. pessimistic
//! `with_logged_write_guard`) is dispatched from
//! [`Database::execute_rows_with_params_deadline`]; the OCC body lives
//! in [`super::occ`] and the WAL-bracketed write closure lives in
//! [`super::write_guard`].

use std::any::Any;
use std::collections::BTreeMap;
use std::time::Duration;

use web_time::Instant;

use anyhow::Result;
use lora_ast::Statement;
use lora_executor::{
    classify_stream, collect_compiled_with_deadline, project_rows, ExecuteOptions, LoraValue,
    MutableExecutionContext, MutableExecutor, QueryResult, Row, StreamShape,
};
use lora_parser::parse_query;
use lora_store::{GraphStorage, GraphStorageMut, InMemoryGraph};

use crate::database::{Database, QUERY_FAILURE_POISON};
use crate::error::LoraError;
use crate::wal::write_scope::{ensure_wal_query_can_start, WalAbortPolicy};

use super::pull_mode::should_collect_read_via_pull;

impl<S> Database<S>
where
    S: GraphStorage + GraphStorageMut + Any + Clone + Send + Sync + 'static,
{
    /// Execute a query and return its result.
    pub fn execute(
        &self,
        query: &str,
        options: Option<ExecuteOptions>,
    ) -> Result<QueryResult, LoraError> {
        self.execute_with_params(query, options, BTreeMap::new())
    }

    /// Execute a query with a cooperative deadline. The timeout is checked at
    /// executor operator boundaries and hot scan loops; if it fires, the query
    /// returns an error and any WAL-backed mutating query is aborted through
    /// the existing failure path.
    pub fn execute_with_timeout(
        &self,
        query: &str,
        options: Option<ExecuteOptions>,
        timeout: Duration,
    ) -> Result<QueryResult, LoraError> {
        let deadline = Instant::now()
            .checked_add(timeout)
            .unwrap_or_else(Instant::now);
        let rows =
            self.execute_rows_with_params_deadline(query, BTreeMap::new(), Some(deadline))?;
        Ok(project_rows(rows, options.unwrap_or_default()))
    }

    /// Execute a query with bound parameters.
    ///
    /// When a WAL is attached the call is bracketed by a transaction:
    ///
    /// 1. `recorder.arm()` after analyze + compile (so a parse /
    ///    semantic / compile error never opens a tx that has to be
    ///    immediately aborted). Arming is *cheap*: no record is
    ///    appended to the WAL yet, so a pure read query that
    ///    completes here pays nothing for the WAL hot path.
    /// 2. The executor runs; every primitive mutation fires
    ///    `MutationRecorder::record`, which buffers events in memory.
    /// 3. On Ok, `recorder.commit()` writes `TxBegin`, one batched
    ///    mutation record, and `TxCommit` only when mutations occurred,
    ///    then applies the WAL's configured single-thread flush policy.
    /// 4. On Err, `recorder.abort()` clears the pending batch. The
    ///    staged graph is discarded without publishing, so the live
    ///    in-memory state and durable WAL both remain at the last
    ///    successful commit.
    /// 5. The recorder's poisoned flag is polled once. If set, the query
    ///    fails loudly with the durability error so the caller can act on it;
    ///    the WAL refuses further appends until the operator restarts the
    ///    database, which recovers from the last consistent snapshot + WAL.
    pub fn execute_with_params(
        &self,
        query: &str,
        options: Option<ExecuteOptions>,
        params: BTreeMap<String, LoraValue>,
    ) -> Result<QueryResult, LoraError> {
        let rows = self.execute_rows_with_params_deadline(query, params, None)?;
        Ok(project_rows(rows, options.unwrap_or_default()))
    }

    /// Execute a parameterised query with a cooperative deadline.
    pub fn execute_with_params_timeout(
        &self,
        query: &str,
        options: Option<ExecuteOptions>,
        params: BTreeMap<String, LoraValue>,
        timeout: Duration,
    ) -> Result<QueryResult, LoraError> {
        let deadline = Instant::now()
            .checked_add(timeout)
            .unwrap_or_else(Instant::now);
        let rows = self.execute_rows_with_params_deadline(query, params, Some(deadline))?;
        Ok(project_rows(rows, options.unwrap_or_default()))
    }

    /// Execute a parameterised query that stops at an absolute `deadline`.
    ///
    /// Pair with [`lora_executor::CancellableDeadline`] to also cancel the
    /// query from another thread before the deadline: a cancelled query
    /// fails with a timeout error, aborts its WAL transaction, and releases
    /// its locks, exactly like one that ran out of time.
    pub fn execute_with_params_deadline(
        &self,
        query: &str,
        options: Option<ExecuteOptions>,
        params: BTreeMap<String, LoraValue>,
        deadline: Instant,
    ) -> Result<QueryResult, LoraError> {
        let rows = self.execute_rows_with_params_deadline(query, params, Some(deadline))?;
        Ok(project_rows(rows, options.unwrap_or_default()))
    }

    /// Execute a query and return hydrated rows before final result-format
    /// projection.
    pub fn execute_rows(&self, query: &str) -> Result<Vec<Row>, LoraError> {
        self.execute_rows_with_params(query, BTreeMap::new())
    }

    /// Execute a query with parameters and return hydrated rows before final
    /// result-format projection.
    pub fn execute_rows_with_params(
        &self,
        query: &str,
        params: BTreeMap<String, LoraValue>,
    ) -> Result<Vec<Row>, LoraError> {
        Ok(self.execute_rows_with_params_deadline(query, params, None)?)
    }

    pub(crate) fn execute_rows_with_params_deadline(
        &self,
        query: &str,
        params: BTreeMap<String, LoraValue>,
        deadline: Option<Instant>,
    ) -> Result<Vec<Row>> {
        // Schema commands (CREATE INDEX, SHOW INDEXES) are catalog-level
        // mutations and don't share the row-producing pipeline. A cheap
        // textual prefix check routes them out before the parser cache and
        // analyzer get involved.
        if Self::is_schema_command_text(query) {
            let document = parse_query(query)?;
            if let Statement::Schema(cmd) = &document.statement {
                return self.execute_schema_command(cmd, params, deadline);
            }
            // Fall through if the prefix matched but the parser disagreed —
            // shouldn't happen given the grammar, but the regular path
            // below will surface a parse error coherently.
        }

        // Procedure calls we route ourselves (vector kNN today; full-text
        // queries land here too once they ship). These bypass the
        // analyzer/compiler, which doesn't yet model standalone CALL.
        if super::procedures::is_procedure_call_text(query) {
            // `CALL ... YIELD ... RETURN` also starts with a procedure name
            // but runs through the regular pipeline; reuse the cached parse
            // so telling the two apart costs nothing after the first call.
            let document = match self.plan_cache.document(query) {
                Some(document) => document,
                None => std::sync::Arc::new(parse_query(query)?),
            };
            if let lora_ast::Statement::Query(lora_ast::Query::StandaloneCall(call)) =
                &document.statement
            {
                return self.execute_procedure_call(call, params);
            }
        }

        // Compile (or fetch from the plan cache) under the read lock. The
        // read lock is also what the read-only fast path runs under, so we
        // can reuse it without a release/reacquire when the plan turns out
        // to be a pure read.
        let (store, store_epoch) = self.read_store_with_epoch_deadline(deadline)?;
        let compiled = self.compile_query_cached(query, &*store, store_epoch)?;
        let shape = classify_stream(&compiled);

        if matches!(shape, StreamShape::ReadOnly) {
            if let Some(rec) = &self.wal {
                ensure_wal_query_can_start(rec)?;
            }
            if should_collect_read_via_pull(&compiled) {
                // The pull pipeline checks the deadline as rows are pulled,
                // so a bounded read still stops early at its LIMIT.
                return collect_compiled_with_deadline(&*store, params, &compiled, deadline)
                    .map_err(anyhow::Error::from);
            }
            let executor = lora_executor::Executor::with_deadline(
                lora_executor::ExecutionContext {
                    storage: &*store,
                    params,
                },
                deadline,
            );
            return executor
                .execute_compiled_rows_parallel_safe(&compiled)
                .map_err(anyhow::Error::from);
        }

        // Mutating path. Drop the snapshot used for compilation and route
        // through the single-writer auto-commit path. The writer mutex is held
        // for mutate + WAL commit so live state and WAL order stay identical.
        // The method name still says "optimistic" because this is the seam a
        // future write-set/CAS implementation can reuse.
        drop(store);
        debug_assert!(shape.is_mutating());

        if std::any::TypeId::of::<S>() == std::any::TypeId::of::<InMemoryGraph>() {
            return self.execute_mutating_optimistic(params, deadline, &compiled);
        }

        // Backends that aren't `InMemoryGraph` don't support the
        // recorder install hook, so fall back to the pessimistic path.
        let store = self.write_store_deadline(deadline)?;
        self.with_logged_write_guard(
            store,
            WalAbortPolicy::PoisonIfMutated(QUERY_FAILURE_POISON),
            |store| {
                let mut executor = MutableExecutor::with_deadline(
                    MutableExecutionContext {
                        storage: store,
                        params,
                    },
                    deadline,
                );
                Ok(executor.execute_compiled_rows(&compiled)?)
            },
        )
    }
}