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rudb_exec/
expr.rs

1//! Evaluating a bound expression over a chunk.
2//!
3//! One function, recursive, one vector out per call. That is section 8.2's description of tier 0
4//! word for word: "a tree of expression nodes, each evaluating its children into intermediate
5//! vectors and then applying a kernel". The intermediate vectors are the cost and they are the
6//! thing tiers 1 and 2 exist to remove, by fusing a chain of them into one loop and by compiling
7//! that loop respectively. Neither of those can be checked against anything until this exists, so
8//! this exists first and stays.
9//!
10//! What runs in a pipeline is [`Prepared`](crate::Prepared), which does once per pipeline the four
11//! things this does once per chunk. This stays as the reference the prepared form is checked
12//! against, for the reason `spec/engine/04-expressions.md` gives for keeping every slow path that
13//! a fast path replaced: a fast path with nothing to disagree with is a fast path nobody can tell
14//! is wrong. It is also still what the operators that evaluate an expression exactly once use,
15//! since preparing a tree to run it on one chunk is more work than walking it.
16//!
17//! Nothing here decides a type. Every expression in a bound plan carries the type it evaluates to,
18//! the binder put the casts in, and a kernel is told what it returns rather than working it out.
19//! An evaluator that inferred anything would be a second type system that has to agree with the
20//! first one, and the interesting bugs in a database are exactly the places where two such things
21//! disagree.
22
23use rudb_common::{Error, Result, SessionTimeZone, Value};
24use rudb_kernels::{cast_in_time_zone, combine, compare, is_true};
25use rudb_plan::{Expr, ExprRef, Plan};
26use rudb_vector::{Chunk, Vector};
27
28use crate::prepared::{comparison, connective, narrow};
29use crate::schema::Schema;
30use crate::written::written;
31
32/// Evaluates one expression over a chunk, producing one vector as long as the chunk.
33///
34/// `schema` describes `chunk`, and it is what a column reference resolves against.
35///
36/// # Errors
37///
38/// If a column reference names a binding the schema does not have, if an aggregate appears outside
39/// an aggregate operator, or anything a kernel reports.
40pub fn evaluate(plan: &Plan, expr: ExprRef, schema: &Schema, chunk: &Chunk) -> Result<Vector> {
41    evaluate_in_time_zone(plan, expr, schema, chunk, SessionTimeZone::default())
42}
43
44/// Evaluates one expression using the parsed zone of the query session.
45pub(crate) fn evaluate_in_time_zone(
46    plan: &Plan,
47    expr: ExprRef,
48    schema: &Schema,
49    chunk: &Chunk,
50    time_zone: SessionTimeZone,
51) -> Result<Vector> {
52    let ty = plan.expr_type(expr).clone();
53    let result = match *plan.expr(expr) {
54        Expr::Column(binding) => {
55            let position = schema.position_of(binding).ok_or_else(|| {
56                Error::internal(format!(
57                    "column #{}.{} is not in the schema this operator was given",
58                    binding.table, binding.column
59                ))
60            })?;
61            Ok(chunk.column(position)?.clone())
62        }
63        Expr::Constant(reference) => {
64            Ok(Vector::constant(ty, plan.value(reference).clone(), chunk.len()))
65        }
66        Expr::Cast { input, try_cast } => {
67            let inner = evaluate_in_time_zone(plan, input, schema, chunk, time_zone)?;
68            cast_in_time_zone(&inner, &ty, try_cast, Some(time_zone))
69        }
70        Expr::Compare { op, left, right } => {
71            let left = evaluate_in_time_zone(plan, left, schema, chunk, time_zone)?;
72            let right = evaluate_in_time_zone(plan, right, schema, chunk, time_zone)?;
73            compare(comparison(op), &left, &right)
74        }
75        Expr::Conjunction { op, children } => {
76            let children = evaluate_all_in_time_zone(
77                plan,
78                plan.expr_list(children),
79                schema,
80                chunk,
81                time_zone,
82            )?;
83            combine(connective(op), &children)
84        }
85        Expr::Function { name, args } => {
86            let args =
87                evaluate_all_in_time_zone(plan, plan.expr_list(args), schema, chunk, time_zone)?;
88            // The renderer runs only if a kernel asks for it, which is only on the row that divides
89            // by zero, so a chunk that computes nothing but answers pays nothing for it.
90            rudb_kernels::call(plan.string(name), &args, &ty, Some(&|| written(plan, expr, schema)))
91        }
92        Expr::Aggregate { name, .. } => Err(Error::internal(format!(
93            "the {} aggregate was evaluated as an ordinary expression",
94            plan.string(name)
95        ))),
96        Expr::Case { arms, otherwise } => {
97            let arms = plan.arm_list(arms).to_vec();
98            let mut answers = vec![Value::Null; chunk.len()];
99            let mut pending: Vec<usize> = (0..chunk.len()).collect();
100            for arm in arms {
101                if pending.is_empty() {
102                    break;
103                }
104                let narrowed = narrow(chunk, &pending)?;
105                let flags = evaluate_in_time_zone(plan, arm.when, schema, &narrowed, time_zone)?;
106                let mut taken = Vec::new();
107                let mut still = Vec::new();
108                // row at a time: 2c (#57) replaces this whole arm with a selection threaded through
109                // the arms and a scatter kernel writing the results back, which is the change that
110                // removes all three of these loops at once.
111                for (at, &row) in pending.iter().enumerate() {
112                    if is_true(&flags.value_at(at)) {
113                        taken.push((at, row));
114                    } else {
115                        still.push(row);
116                    }
117                }
118                if !taken.is_empty() {
119                    let positions: Vec<usize> = taken.iter().map(|&(at, _)| at).collect();
120                    let matched = narrow(&narrowed, &positions)?;
121                    let results =
122                        evaluate_in_time_zone(plan, arm.then, schema, &matched, time_zone)?;
123                    // row at a time: the scatter this wants is 2c (#57), same as the loop above.
124                    for (slot, &(_, row)) in taken.iter().enumerate() {
125                        answers[row] = results.try_value_at(slot)?;
126                    }
127                }
128                pending = still;
129            }
130            if let Some(otherwise) = otherwise {
131                if !pending.is_empty() {
132                    let narrowed = narrow(chunk, &pending)?;
133                    let results =
134                        evaluate_in_time_zone(plan, otherwise, schema, &narrowed, time_zone)?;
135                    // row at a time: the scatter this wants is 2c (#57), same as the two above.
136                    for (slot, &row) in pending.iter().enumerate() {
137                        answers[row] = results.try_value_at(slot)?;
138                    }
139                }
140            }
141            Vector::from_values(ty, &answers)
142        }
143    };
144    result.map_err(|error| error.with_fallback_span(plan.expr_span(expr)))
145}
146
147/// Evaluates a list of expressions over one chunk.
148///
149/// # Errors
150///
151/// Anything [`evaluate`] reports, on the first expression that reports it.
152pub fn evaluate_all(
153    plan: &Plan,
154    exprs: &[ExprRef],
155    schema: &Schema,
156    chunk: &Chunk,
157) -> Result<Vec<Vector>> {
158    evaluate_all_in_time_zone(plan, exprs, schema, chunk, SessionTimeZone::default())
159}
160
161/// Evaluates a list of expressions using the parsed zone of the query session.
162pub(crate) fn evaluate_all_in_time_zone(
163    plan: &Plan,
164    exprs: &[ExprRef],
165    schema: &Schema,
166    chunk: &Chunk,
167    time_zone: SessionTimeZone,
168) -> Result<Vec<Vector>> {
169    exprs.iter().map(|&expr| evaluate_in_time_zone(plan, expr, schema, chunk, time_zone)).collect()
170}