reifydb_sub_flow/operator/scan/
table.rs

1// SPDX-License-Identifier: Apache-2.0
2// Copyright (c) 2025 ReifyDB
3
4use std::sync::Arc;
5
6use reifydb_core::{
7	encoded::shape::RowShape,
8	interface::{
9		catalog::{flow::FlowNodeId, shape::ShapeId, table::Table},
10		change::{Change, Diff},
11	},
12	key::row::RowKey,
13	value::column::{ColumnWithName, buffer::ColumnBuffer, columns::Columns},
14};
15use reifydb_type::{
16	Result,
17	fragment::Fragment,
18	value::{datetime::DateTime, row_number::RowNumber},
19};
20
21use crate::{Operator, operator::sink::decode_dictionary_columns, transaction::FlowTransaction};
22
23pub struct PrimitiveTableOperator {
24	node: FlowNodeId,
25	table: Table,
26}
27
28impl PrimitiveTableOperator {
29	pub fn new(node: FlowNodeId, table: Table) -> Self {
30		Self {
31			node,
32			table,
33		}
34	}
35}
36
37impl Operator for PrimitiveTableOperator {
38	fn id(&self) -> FlowNodeId {
39		self.node
40	}
41
42	fn apply(&self, txn: &mut FlowTransaction, change: Change) -> Result<Change> {
43		let mut decoded_diffs = Vec::with_capacity(change.diffs.len());
44		for diff in change.diffs {
45			decoded_diffs.push(match diff {
46				Diff::Insert {
47					post,
48				} => {
49					let mut decoded = post;
50					decode_dictionary_columns(Arc::make_mut(&mut decoded), txn)?;
51					Diff::insert_arc(decoded)
52				}
53				Diff::Update {
54					pre,
55					post,
56				} => {
57					let mut decoded_pre = pre;
58					let mut decoded_post = post;
59					decode_dictionary_columns(Arc::make_mut(&mut decoded_pre), txn)?;
60					decode_dictionary_columns(Arc::make_mut(&mut decoded_post), txn)?;
61					Diff::update_arc(decoded_pre, decoded_post)
62				}
63				Diff::Remove {
64					pre,
65				} => {
66					let mut decoded = pre;
67					decode_dictionary_columns(Arc::make_mut(&mut decoded), txn)?;
68					Diff::remove_arc(decoded)
69				}
70			});
71		}
72		Ok(Change::from_flow(self.node, change.version, decoded_diffs, change.changed_at))
73	}
74
75	fn pull(&self, txn: &mut FlowTransaction, rows: &[RowNumber]) -> Result<Columns> {
76		if rows.is_empty() {
77			return Ok(Columns::from_catalog_columns(&self.table.columns));
78		}
79
80		let shape: RowShape = (&self.table.columns).into();
81		let fields = shape.fields();
82
83		// Pre-allocate columns with capacity
84		let mut columns_vec: Vec<ColumnWithName> = Vec::with_capacity(fields.len());
85		for field in fields.iter() {
86			columns_vec.push(ColumnWithName {
87				name: Fragment::internal(&field.name),
88				data: ColumnBuffer::with_capacity(field.constraint.get_type(), rows.len()),
89			});
90		}
91		let mut row_numbers = Vec::with_capacity(rows.len());
92		let mut created_at = Vec::with_capacity(rows.len());
93		let mut updated_at = Vec::with_capacity(rows.len());
94
95		for row_num in rows {
96			let key = RowKey::encoded(ShapeId::table(self.table.id), *row_num);
97			if let Some(encoded) = txn.get(&key)? {
98				row_numbers.push(*row_num);
99				created_at.push(DateTime::from_nanos(encoded.created_at_nanos()));
100				updated_at.push(DateTime::from_nanos(encoded.updated_at_nanos()));
101				// Decode each column value directly
102				for (i, _field) in fields.iter().enumerate() {
103					let value = shape.get_value(&encoded, i);
104					columns_vec[i].data.push_value(value);
105				}
106			}
107		}
108
109		if row_numbers.is_empty() {
110			Ok(Columns::from_catalog_columns(&self.table.columns))
111		} else {
112			Ok(Columns::with_system_columns(columns_vec, row_numbers, created_at, updated_at))
113		}
114	}
115}
reifydb_sub_flow/operator/scan/table.rs

reifydb_sub_flow/operator/scan/
table.rs
