reifydb_engine/vm/volcano/scan/

table.rs

// SPDX-License-Identifier: Apache-2.0
// Copyright (c) 2026 ReifyDB

use std::sync::Arc;

use reifydb_codec::{
	encoded::{row::EncodedRow, shape::RowShape},
	key::encoded::EncodedKey,
};
use reifydb_core::{
	common::CommitVersion,
	error::diagnostic,
	interface::{catalog::dictionary::Dictionary, resolved::ResolvedTable},
	key::{
		EncodableKey,
		partitioned_row::{PartitionedRowKey, RowLocator},
		row::{RowKey, RowKeyRange},
	},
	value::column::{ColumnWithName, buffer::ColumnBuffer, columns::Columns, headers::ColumnHeaders},
};
use reifydb_transaction::{multi::RangeScope, transaction::Transaction};
use reifydb_value::{
	error,
	fragment::Fragment,
	reifydb_assertions,
	util::cowvec::CowVec,
	value::{partition::Partition, value_type::ValueType},
};
use tracing::instrument;

use super::super::decode_dictionary_columns;
use crate::{
	Result,
	vm::volcano::query::{QueryContext, QueryNode},
};

pub struct TableScanNode {
	table: ResolvedTable,
	context: Option<Arc<QueryContext>>,
	headers: ColumnHeaders,

	storage_types: Vec<ValueType>,

	dictionaries: Vec<Option<Dictionary>>,

	shape: Option<RowShape>,
	last_key: Option<EncodedKey>,
	exhausted: bool,

	partition: Option<Partition>,

	min_commit_version: Option<CommitVersion>,
}

impl TableScanNode {
	pub fn with_min_commit_version(mut self, min_commit_version: Option<CommitVersion>) -> Self {
		self.min_commit_version = min_commit_version;
		self
	}

	pub fn new(
		table: ResolvedTable,
		partition: Option<Partition>,
		context: Arc<QueryContext>,
		rx: &mut Transaction<'_>,
	) -> Result<Self> {
		let mut storage_types = Vec::with_capacity(table.columns().len());
		let mut dictionaries = Vec::with_capacity(table.columns().len());

		for col in table.columns() {
			if let Some(dict_id) = col.dictionary_id {
				if let Some(dict) = context.services.catalog.find_dictionary(rx, dict_id)? {
					storage_types.push(ValueType::DictionaryId);
					dictionaries.push(Some(dict));
				} else {
					storage_types.push(col.constraint.get_type());
					dictionaries.push(None);
				}
			} else {
				storage_types.push(col.constraint.get_type());
				dictionaries.push(None);
			}
		}

		let headers = ColumnHeaders {
			columns: table.columns().iter().map(|col| Fragment::internal(&col.name)).collect(),
		};

		Ok(Self {
			table,
			context: Some(context),
			headers,
			storage_types,
			dictionaries,
			shape: None,
			last_key: None,
			exhausted: false,
			partition,
			min_commit_version: None,
		})
	}

	fn get_or_load_shape<'a>(&mut self, rx: &mut Transaction<'a>, first_row: &EncodedRow) -> Result<RowShape> {
		if let Some(shape) = &self.shape {
			return Ok(shape.clone());
		}

		let fingerprint = first_row.fingerprint();

		let stored_ctx = self.context.as_ref().expect("TableScanNode context not set");
		let shape = stored_ctx.services.catalog.get_or_load_row_shape(fingerprint, rx)?.ok_or_else(|| {
			error!(diagnostic::internal::internal(format!(
				"RowShape with fingerprint {:?} not found for table {}",
				fingerprint,
				self.table.def().name
			)))
		})?;

		self.shape = Some(shape.clone());

		Ok(shape)
	}
}

impl QueryNode for TableScanNode {
	#[instrument(level = "trace", skip_all, name = "volcano::scan::table::initialize")]
	fn initialize<'a>(&mut self, _rx: &mut Transaction<'a>, _ctx: &QueryContext) -> Result<()> {
		Ok(())
	}

	#[instrument(level = "trace", skip_all, name = "volcano::scan::table::next")]
	fn next<'a>(&mut self, rx: &mut Transaction<'a>, _ctx: &mut QueryContext) -> Result<Option<Columns>> {
		reifydb_assertions! {
			assert!(self.context.is_some(), "TableScanNode::next() called before initialize()");
		}
		let stored_ctx = self.context.as_ref().unwrap();

		if self.exhausted {
			return Ok(None);
		}

		let batch_size = stored_ctx.batch_size;

		let partitioned = !self.table.def().partition_by.is_empty();
		let range = if partitioned {
			match self.partition {
				Some(partition) => PartitionedRowKey::partition_scan_range(
					self.table.def().id,
					partition,
					self.last_key.as_ref(),
				),
				None => PartitionedRowKey::scan_range(self.table.def().id, self.last_key.as_ref()),
			}
		} else {
			RowKeyRange::scan_range(self.table.def().id.into(), self.last_key.as_ref())
		};

		let mut batch_rows = Vec::new();
		let mut row_numbers = Vec::new();
		let mut partitions: Vec<Partition> = Vec::new();
		let mut new_last_key = None;

		let scope = match self.min_commit_version {
			Some(v) => RangeScope::After(v),
			None => RangeScope::All,
		};

		let mut stream = rx.range(range, scope, batch_size as usize)?;

		for _ in 0..batch_size {
			match stream.next() {
				Some(Ok(multi)) => {
					let decoded = if partitioned {
						PartitionedRowKey::decode(&multi.key).and_then(|k| match k.locator {
							RowLocator::Row(rn) => Some((rn, Some(k.partition))),
							_ => None,
						})
					} else {
						RowKey::decode(&multi.key).map(|k| (k.row, None))
					};
					if let Some((rn, partition)) = decoded {
						batch_rows.push(multi.row);
						row_numbers.push(rn);
						if let Some(p) = partition {
							partitions.push(p);
						}
						new_last_key = Some(multi.key);
					}
				}
				Some(Err(e)) => return Err(e),
				None => {
					self.exhausted = true;
					break;
				}
			}
		}

		drop(stream);

		if batch_rows.is_empty() {
			self.exhausted = true;
			if self.last_key.is_none() {
				let columns: Vec<ColumnWithName> = self
					.table
					.columns()
					.iter()
					.map(|col| ColumnWithName {
						name: Fragment::internal(&col.name),
						data: ColumnBuffer::none_typed(col.constraint.get_type(), 0),
					})
					.collect();
				return Ok(Some(Columns::new(columns)));
			}
			return Ok(None);
		}

		self.last_key = new_last_key;

		let storage_columns: Vec<ColumnWithName> = {
			self.table
				.columns()
				.iter()
				.enumerate()
				.map(|(idx, col)| ColumnWithName {
					name: Fragment::internal(&col.name),
					data: ColumnBuffer::with_capacity(self.storage_types[idx].clone(), 0),
				})
				.collect()
		};

		let mut columns = Columns::with_system_columns(storage_columns, Vec::new(), Vec::new(), Vec::new());
		{
			let shape = self.get_or_load_shape(rx, &batch_rows[0])?;
			columns.append_rows(&shape, batch_rows.into_iter(), row_numbers.clone())?;
		}
		if partitioned {
			columns.partitions = CowVec::new(partitions);
		}

		columns.row_numbers = CowVec::new(row_numbers);

		decode_dictionary_columns(&mut columns, &self.dictionaries, rx)?;

		Ok(Some(columns))
	}

	fn headers(&self) -> Option<ColumnHeaders> {
		Some(self.headers.clone())
	}
}