mz_expr/scalar/func/impls/
range.rs1use std::fmt;
11
12use mz_expr_derive::sqlfunc;
13use mz_lowertest::MzReflect;
14use mz_repr::adt::range::Range;
15use mz_repr::{Datum, RowArena, SqlColumnType, SqlScalarType};
16use serde::{Deserialize, Serialize};
17
18use crate::scalar::func::{LazyUnaryFunc, stringify_datum};
19use crate::{EvalError, MirScalarExpr};
20
21#[derive(
22 Ord,
23 PartialOrd,
24 Clone,
25 Debug,
26 Eq,
27 PartialEq,
28 Serialize,
29 Deserialize,
30 Hash,
31 MzReflect
32)]
33pub struct CastRangeToString {
34 pub ty: SqlScalarType,
35}
36
37impl LazyUnaryFunc for CastRangeToString {
38 fn eval<'a>(
39 &'a self,
40 datums: &[Datum<'a>],
41 temp_storage: &'a RowArena,
42 a: &'a MirScalarExpr,
43 ) -> Result<Datum<'a>, EvalError> {
44 let a = a.eval(datums, temp_storage)?;
45 if a.is_null() {
46 return Ok(Datum::Null);
47 }
48 let mut buf = String::new();
49 stringify_datum(&mut buf, a, &self.ty)?;
50 Ok(Datum::String(temp_storage.push_string(buf)))
51 }
52
53 fn output_type(&self, input_type: SqlColumnType) -> SqlColumnType {
54 SqlScalarType::String.nullable(input_type.nullable)
55 }
56
57 fn propagates_nulls(&self) -> bool {
58 true
59 }
60
61 fn introduces_nulls(&self) -> bool {
62 false
63 }
64
65 fn preserves_uniqueness(&self) -> bool {
66 true
67 }
68
69 fn inverse(&self) -> Option<crate::UnaryFunc> {
70 None
72 }
73
74 fn is_monotone(&self) -> bool {
75 false
76 }
77}
78
79impl fmt::Display for CastRangeToString {
80 fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
81 f.write_str("rangetostr")
82 }
83}
84
85#[sqlfunc(
86 sqlname = "rangelower",
87 is_monotone = true,
88 introduces_nulls = true,
89 output_type_expr = input_type.scalar_type.unwrap_range_element_type().clone().nullable(true)
90)]
91fn range_lower<'a>(a: Range<Datum<'a>>) -> Option<Datum<'a>> {
92 a.inner.map(|inner| inner.lower.bound).flatten()
93}
94
95#[sqlfunc(
96 sqlname = "rangeupper",
97 introduces_nulls = true,
98 output_type_expr = input_type.scalar_type.unwrap_range_element_type().clone().nullable(true)
99)]
100fn range_upper<'a>(a: Range<Datum<'a>>) -> Option<Datum<'a>> {
101 a.inner.map(|inner| inner.upper.bound).flatten()
102}
103
104#[sqlfunc(sqlname = "range_empty")]
105fn range_empty<'a>(a: Range<Datum<'a>>) -> bool {
106 a.inner.is_none()
107}
108
109#[sqlfunc(sqlname = "range_lower_inc")]
110fn range_lower_inc<'a>(a: Range<Datum<'a>>) -> bool {
111 match a.inner {
112 None => false,
113 Some(inner) => inner.lower.inclusive,
114 }
115}
116
117#[sqlfunc(sqlname = "range_upper_inc")]
118fn range_upper_inc<'a>(a: Range<Datum<'a>>) -> bool {
119 match a.inner {
120 None => false,
121 Some(inner) => inner.upper.inclusive,
122 }
123}
124
125#[sqlfunc(sqlname = "range_lower_inf")]
126fn range_lower_inf<'a>(a: Range<Datum<'a>>) -> bool {
127 match a.inner {
128 None => false,
129 Some(inner) => inner.lower.bound.is_none(),
130 }
131}
132
133#[sqlfunc(sqlname = "range_upper_inf")]
134fn range_upper_inf<'a>(a: Range<Datum<'a>>) -> bool {
135 match a.inner {
136 None => false,
137 Some(inner) => inner.upper.bound.is_none(),
138 }
139}