datafusion_physical_expr/expressions/
like.rs1use std::hash::Hash;
19use std::{any::Any, sync::Arc};
20
21use crate::PhysicalExpr;
22use arrow::datatypes::{DataType, Schema};
23use arrow::record_batch::RecordBatch;
24use datafusion_common::{internal_err, Result};
25use datafusion_expr::ColumnarValue;
26use datafusion_physical_expr_common::datum::apply_cmp;
27
28#[derive(Debug, Eq)]
30pub struct LikeExpr {
31 negated: bool,
32 case_insensitive: bool,
33 expr: Arc<dyn PhysicalExpr>,
34 pattern: Arc<dyn PhysicalExpr>,
35}
36
37impl PartialEq for LikeExpr {
39 fn eq(&self, other: &Self) -> bool {
40 self.negated == other.negated
41 && self.case_insensitive == other.case_insensitive
42 && self.expr.eq(&other.expr)
43 && self.pattern.eq(&other.pattern)
44 }
45}
46
47impl Hash for LikeExpr {
48 fn hash<H: std::hash::Hasher>(&self, state: &mut H) {
49 self.negated.hash(state);
50 self.case_insensitive.hash(state);
51 self.expr.hash(state);
52 self.pattern.hash(state);
53 }
54}
55
56impl LikeExpr {
57 pub fn new(
58 negated: bool,
59 case_insensitive: bool,
60 expr: Arc<dyn PhysicalExpr>,
61 pattern: Arc<dyn PhysicalExpr>,
62 ) -> Self {
63 Self {
64 negated,
65 case_insensitive,
66 expr,
67 pattern,
68 }
69 }
70
71 pub fn negated(&self) -> bool {
73 self.negated
74 }
75
76 pub fn case_insensitive(&self) -> bool {
78 self.case_insensitive
79 }
80
81 pub fn expr(&self) -> &Arc<dyn PhysicalExpr> {
83 &self.expr
84 }
85
86 pub fn pattern(&self) -> &Arc<dyn PhysicalExpr> {
88 &self.pattern
89 }
90
91 fn op_name(&self) -> &str {
93 match (self.negated, self.case_insensitive) {
94 (false, false) => "LIKE",
95 (true, false) => "NOT LIKE",
96 (false, true) => "ILIKE",
97 (true, true) => "NOT ILIKE",
98 }
99 }
100}
101
102impl std::fmt::Display for LikeExpr {
103 fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
104 write!(f, "{} {} {}", self.expr, self.op_name(), self.pattern)
105 }
106}
107
108impl PhysicalExpr for LikeExpr {
109 fn as_any(&self) -> &dyn Any {
110 self
111 }
112
113 fn data_type(&self, _input_schema: &Schema) -> Result<DataType> {
114 Ok(DataType::Boolean)
115 }
116
117 fn nullable(&self, input_schema: &Schema) -> Result<bool> {
118 Ok(self.expr.nullable(input_schema)? || self.pattern.nullable(input_schema)?)
119 }
120
121 fn evaluate(&self, batch: &RecordBatch) -> Result<ColumnarValue> {
122 use arrow::compute::*;
123 let lhs = self.expr.evaluate(batch)?;
124 let rhs = self.pattern.evaluate(batch)?;
125 match (self.negated, self.case_insensitive) {
126 (false, false) => apply_cmp(&lhs, &rhs, like),
127 (false, true) => apply_cmp(&lhs, &rhs, ilike),
128 (true, false) => apply_cmp(&lhs, &rhs, nlike),
129 (true, true) => apply_cmp(&lhs, &rhs, nilike),
130 }
131 }
132
133 fn children(&self) -> Vec<&Arc<dyn PhysicalExpr>> {
134 vec![&self.expr, &self.pattern]
135 }
136
137 fn with_new_children(
138 self: Arc<Self>,
139 children: Vec<Arc<dyn PhysicalExpr>>,
140 ) -> Result<Arc<dyn PhysicalExpr>> {
141 Ok(Arc::new(LikeExpr::new(
142 self.negated,
143 self.case_insensitive,
144 Arc::clone(&children[0]),
145 Arc::clone(&children[1]),
146 )))
147 }
148}
149
150fn can_like_type(from_type: &DataType) -> bool {
152 match from_type {
153 DataType::Dictionary(_, inner_type_from) => **inner_type_from == DataType::Utf8,
154 _ => false,
155 }
156}
157
158pub fn like(
160 negated: bool,
161 case_insensitive: bool,
162 expr: Arc<dyn PhysicalExpr>,
163 pattern: Arc<dyn PhysicalExpr>,
164 input_schema: &Schema,
165) -> Result<Arc<dyn PhysicalExpr>> {
166 let expr_type = &expr.data_type(input_schema)?;
167 let pattern_type = &pattern.data_type(input_schema)?;
168 if !expr_type.eq(pattern_type) && !can_like_type(expr_type) {
169 return internal_err!(
170 "The type of {expr_type} AND {pattern_type} of like physical should be same"
171 );
172 }
173 Ok(Arc::new(LikeExpr::new(
174 negated,
175 case_insensitive,
176 expr,
177 pattern,
178 )))
179}
180
181#[cfg(test)]
182mod test {
183 use super::*;
184 use crate::expressions::col;
185 use arrow::array::*;
186 use arrow::datatypes::Field;
187 use datafusion_common::cast::as_boolean_array;
188
189 macro_rules! test_like {
190 ($A_VEC:expr, $B_VEC:expr, $VEC:expr, $NULLABLE: expr, $NEGATED:expr, $CASE_INSENSITIVE:expr,) => {{
191 let schema = Schema::new(vec![
192 Field::new("a", DataType::Utf8, $NULLABLE),
193 Field::new("b", DataType::Utf8, $NULLABLE),
194 ]);
195 let a = StringArray::from($A_VEC);
196 let b = StringArray::from($B_VEC);
197
198 let expression = like(
199 $NEGATED,
200 $CASE_INSENSITIVE,
201 col("a", &schema)?,
202 col("b", &schema)?,
203 &schema,
204 )?;
205 let batch = RecordBatch::try_new(
206 Arc::new(schema.clone()),
207 vec![Arc::new(a), Arc::new(b)],
208 )?;
209
210 let result = expression
212 .evaluate(&batch)?
213 .into_array(batch.num_rows())
214 .expect("Failed to convert to array");
215 let result =
216 as_boolean_array(&result).expect("failed to downcast to BooleanArray");
217 let expected = &BooleanArray::from($VEC);
218 assert_eq!(expected, result);
219 }};
220 }
221
222 #[test]
223 fn like_op() -> Result<()> {
224 test_like!(
225 vec!["hello world", "world"],
226 vec!["%hello%", "%hello%"],
227 vec![true, false],
228 false,
229 false,
230 false,
231 ); test_like!(
233 vec![Some("hello world"), None, Some("world")],
234 vec![Some("%hello%"), None, Some("%hello%")],
235 vec![Some(false), None, Some(true)],
236 true,
237 true,
238 false,
239 ); test_like!(
241 vec!["hello world", "world"],
242 vec!["%helLo%", "%helLo%"],
243 vec![true, false],
244 false,
245 false,
246 true,
247 ); test_like!(
249 vec![Some("hello world"), None, Some("world")],
250 vec![Some("%helLo%"), None, Some("%helLo%")],
251 vec![Some(false), None, Some(true)],
252 true,
253 true,
254 true,
255 ); Ok(())
258 }
259}