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reifydb_engine/expression/
call.rs

1// SPDX-License-Identifier: Apache-2.0
2// Copyright (c) 2025 ReifyDB
3
4use reifydb_core::value::column::{
5	ColumnWithName, buffer::ColumnBuffer, columns::Columns, view::group_by::GroupByView,
6};
7use reifydb_routine::routine::{FunctionKind, context::FunctionContext, error::RoutineError};
8use reifydb_rql::expression::{CallExpression, Expression, name::display_label};
9use reifydb_type::{
10	error::Error,
11	fragment::Fragment,
12	value::{Value, r#type::Type},
13};
14
15use crate::{Result, error::EngineError, expression::context::EvalContext};
16
17pub(crate) fn call_builtin(ctx: &EvalContext, call: &CallExpression, arguments: Columns) -> Result<ColumnWithName> {
18	let function_name = call.func.0.text();
19	let fn_fragment = call.func.0.clone();
20	let result_label = display_label(&Expression::Call(call.clone()));
21
22	assert!(
23		ctx.symbols.get_function(function_name).is_none(),
24		"UDF '{}' should have been hoisted to UdfEvalNode",
25		function_name
26	);
27
28	let routine = ctx.routines.get_function(function_name).ok_or_else(|| -> Error {
29		EngineError::UnknownFunction {
30			name: function_name.to_string(),
31			fragment: fn_fragment.clone(),
32		}
33		.into()
34	})?;
35
36	let mut fn_ctx = FunctionContext {
37		fragment: fn_fragment.clone(),
38		identity: ctx.identity,
39		row_count: ctx.row_count,
40		runtime_context: ctx.runtime_context,
41	};
42
43	if ctx.is_aggregate_context && routine.kinds().contains(&FunctionKind::Aggregate) {
44		let mut accumulator =
45			routine.accumulator(&mut fn_ctx).ok_or_else(|| RoutineError::FunctionExecutionFailed {
46				function: fn_fragment.clone(),
47				reason: format!("Function {} is not an aggregate", function_name),
48			})?;
49
50		let column = if call.args.is_empty() {
51			ColumnWithName {
52				name: Fragment::internal("dummy"),
53				data: ColumnBuffer::with_capacity(Type::Int4, ctx.row_count),
54			}
55		} else {
56			ColumnWithName::new(arguments.name_at(0).clone(), arguments[0].clone())
57		};
58
59		let mut group_view = GroupByView::new();
60		let all_indices: Vec<usize> = (0..ctx.row_count).collect();
61		group_view.insert(Vec::<Value>::new(), all_indices);
62
63		accumulator
64			.update(&Columns::new(vec![column]), &group_view)
65			.map_err(|e| e.with_context(fn_fragment.clone(), false))?;
66
67		let (_keys, result_data) = accumulator.finalize().map_err(|e| e.with_context(fn_fragment, false))?;
68
69		return Ok(ColumnWithName::new(result_label.clone(), result_data));
70	}
71
72	let result_columns = routine.call(&mut fn_ctx, &arguments).map_err(|e| e.with_context(fn_fragment, false))?;
73
74	if result_columns.is_empty() {
75		return Err(RoutineError::FunctionExecutionFailed {
76			function: call.func.0.clone(),
77			reason: "Function returned no columns".to_string(),
78		}
79		.into());
80	}
81	let result_data = result_columns.data_at(0).clone();
82	Ok(ColumnWithName::new(result_label, result_data))
83}