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port regexp_like function and port related tests
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// Licensed to the Apache Software Foundation (ASF) under one | ||
// or more contributor license agreements. See the NOTICE file | ||
// distributed with this work for additional information | ||
// regarding copyright ownership. The ASF licenses this file | ||
// to you under the Apache License, Version 2.0 (the | ||
// "License"); you may not use this file except in compliance | ||
// with the License. You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, | ||
// software distributed under the License is distributed on an | ||
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
// KIND, either express or implied. See the License for the | ||
// specific language governing permissions and limitations | ||
// under the License. | ||
|
||
//! Encoding expressions | ||
use arrow::array::{Array, ArrayRef, OffsetSizeTrait}; | ||
use arrow::compute::kernels::regexp; | ||
use arrow::datatypes::DataType; | ||
use datafusion_common::exec_err; | ||
use datafusion_common::ScalarValue; | ||
use datafusion_common::{arrow_datafusion_err, plan_err}; | ||
use datafusion_common::{ | ||
cast::as_generic_string_array, internal_err, DataFusionError, Result, | ||
}; | ||
use datafusion_expr::ColumnarValue; | ||
use datafusion_expr::TypeSignature::*; | ||
use datafusion_expr::{ScalarUDFImpl, Signature, Volatility}; | ||
use std::any::Any; | ||
use std::sync::Arc; | ||
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#[derive(Debug)] | ||
pub(super) struct RegexpLikeFunc { | ||
signature: Signature, | ||
} | ||
impl RegexpLikeFunc { | ||
pub fn new() -> Self { | ||
use DataType::*; | ||
Self { | ||
signature: Signature::one_of( | ||
vec![ | ||
Exact(vec![Utf8, Utf8]), | ||
Exact(vec![LargeUtf8, Utf8]), | ||
Exact(vec![Utf8, Utf8, Utf8]), | ||
Exact(vec![LargeUtf8, Utf8, Utf8]), | ||
], | ||
Volatility::Immutable, | ||
), | ||
} | ||
} | ||
} | ||
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impl ScalarUDFImpl for RegexpLikeFunc { | ||
fn as_any(&self) -> &dyn Any { | ||
self | ||
} | ||
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fn name(&self) -> &str { | ||
"regexp_like" | ||
} | ||
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fn signature(&self) -> &Signature { | ||
&self.signature | ||
} | ||
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fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> { | ||
use DataType::*; | ||
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Ok(match &arg_types[0] { | ||
LargeUtf8 | Utf8 => Boolean, | ||
Null => Null, | ||
other => { | ||
return plan_err!( | ||
"The regexp_like function can only accept strings. Got {other}" | ||
); | ||
} | ||
}) | ||
} | ||
fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> { | ||
let len = args | ||
.iter() | ||
.fold(Option::<usize>::None, |acc, arg| match arg { | ||
ColumnarValue::Scalar(_) => acc, | ||
ColumnarValue::Array(a) => Some(a.len()), | ||
}); | ||
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let is_scalar = len.is_none(); | ||
let inferred_length = len.unwrap_or(1); | ||
let args = args | ||
.iter() | ||
.map(|arg| arg.clone().into_array(inferred_length)) | ||
.collect::<Result<Vec<_>>>()?; | ||
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let result = regexp_like_func(&args); | ||
if is_scalar { | ||
// If all inputs are scalar, keeps output as scalar | ||
let result = result.and_then(|arr| ScalarValue::try_from_array(&arr, 0)); | ||
result.map(ColumnarValue::Scalar) | ||
} else { | ||
result.map(ColumnarValue::Array) | ||
} | ||
} | ||
} | ||
fn regexp_like_func(args: &[ArrayRef]) -> Result<ArrayRef> { | ||
match args[0].data_type() { | ||
DataType::Utf8 => regexp_like::<i32>(args), | ||
DataType::LargeUtf8 => regexp_like::<i64>(args), | ||
other => { | ||
internal_err!("Unsupported data type {other:?} for function regexp_like") | ||
} | ||
} | ||
} | ||
/// Tests a string using a regular expression returning true if at | ||
/// least one match, false otherwise. | ||
/// | ||
/// The full list of supported features and syntax can be found at | ||
/// <https://docs.rs/regex/latest/regex/#syntax> | ||
/// | ||
/// Supported flags can be found at | ||
/// <https://docs.rs/regex/latest/regex/#grouping-and-flags> | ||
/// | ||
/// # Examples | ||
/// | ||
/// ```ignore | ||
/// # use datafusion::prelude::*; | ||
/// # use datafusion::error::Result; | ||
/// # #[tokio::main] | ||
/// # async fn main() -> Result<()> { | ||
/// let ctx = SessionContext::new(); | ||
/// let df = ctx.read_csv("tests/data/regex.csv", CsvReadOptions::new()).await?; | ||
/// | ||
/// // use the regexp_like function to test col 'values', | ||
/// // against patterns in col 'patterns' without flags | ||
/// let df = df.with_column( | ||
/// "a", | ||
/// regexp_like(vec![col("values"), col("patterns")]) | ||
/// )?; | ||
/// // use the regexp_like function to test col 'values', | ||
/// // against patterns in col 'patterns' with flags | ||
/// let df = df.with_column( | ||
/// "b", | ||
/// regexp_like(vec![col("values"), col("patterns"), col("flags")]) | ||
/// )?; | ||
/// // literals can be used as well with dataframe calls | ||
/// let df = df.with_column( | ||
/// "c", | ||
/// regexp_like(vec![lit("foobarbequebaz"), lit("(bar)(beque)")]) | ||
/// )?; | ||
/// | ||
/// df.show().await?; | ||
/// | ||
/// # Ok(()) | ||
/// # } | ||
/// ``` | ||
pub fn regexp_like<T: OffsetSizeTrait>(args: &[ArrayRef]) -> Result<ArrayRef> { | ||
match args.len() { | ||
2 => { | ||
let values = as_generic_string_array::<T>(&args[0])?; | ||
let regex = as_generic_string_array::<T>(&args[1])?; | ||
let array = regexp::regexp_is_match_utf8(values, regex, None) | ||
.map_err(|e| arrow_datafusion_err!(e))?; | ||
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Ok(Arc::new(array) as ArrayRef) | ||
} | ||
3 => { | ||
let values = as_generic_string_array::<T>(&args[0])?; | ||
let regex = as_generic_string_array::<T>(&args[1])?; | ||
let flags = as_generic_string_array::<T>(&args[2])?; | ||
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if flags.iter().any(|s| s == Some("g")) { | ||
return plan_err!("regexp_like() does not support the \"global\" option"); | ||
} | ||
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let array = regexp::regexp_is_match_utf8(values, regex, Some(flags)) | ||
.map_err(|e| arrow_datafusion_err!(e))?; | ||
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Ok(Arc::new(array) as ArrayRef) | ||
} | ||
other => exec_err!( | ||
"regexp_like was called with {other} arguments. It requires at least 2 and at most 3." | ||
), | ||
} | ||
} | ||
mod tests { | ||
use arrow::array::*; | ||
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use datafusion_common::ScalarValue; | ||
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use super::*; | ||
#[test] | ||
fn test_case_sensitive_regexp_like() { | ||
let values = StringArray::from(vec!["abc"; 5]); | ||
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let patterns = | ||
StringArray::from(vec!["^(a)", "^(A)", "(b|d)", "(B|D)", "^(b|c)"]); | ||
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let mut expected_builder: BooleanBuilder = BooleanBuilder::new(); | ||
expected_builder.append_value(true); | ||
expected_builder.append_value(false); | ||
expected_builder.append_value(true); | ||
expected_builder.append_value(false); | ||
expected_builder.append_value(false); | ||
let expected = expected_builder.finish(); | ||
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let re = regexp_like::<i32>(&[Arc::new(values), Arc::new(patterns)]).unwrap(); | ||
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assert_eq!(re.as_ref(), &expected); | ||
} | ||
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#[test] | ||
fn test_case_insensitive_regexp_like() { | ||
let values = StringArray::from(vec!["abc"; 5]); | ||
let patterns = | ||
StringArray::from(vec!["^(a)", "^(A)", "(b|d)", "(B|D)", "^(b|c)"]); | ||
let flags = StringArray::from(vec!["i"; 5]); | ||
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let mut expected_builder: BooleanBuilder = BooleanBuilder::new(); | ||
expected_builder.append_value(true); | ||
expected_builder.append_value(true); | ||
expected_builder.append_value(true); | ||
expected_builder.append_value(true); | ||
expected_builder.append_value(false); | ||
let expected = expected_builder.finish(); | ||
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let re = | ||
regexp_like::<i32>(&[Arc::new(values), Arc::new(patterns), Arc::new(flags)]) | ||
.unwrap(); | ||
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assert_eq!(re.as_ref(), &expected); | ||
} | ||
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#[test] | ||
fn test_unsupported_global_flag_regexp_like() { | ||
let values = StringArray::from(vec!["abc"]); | ||
let patterns = StringArray::from(vec!["^(a)"]); | ||
let flags = StringArray::from(vec!["g"]); | ||
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let re_err = | ||
regexp_like::<i32>(&[Arc::new(values), Arc::new(patterns), Arc::new(flags)]) | ||
.expect_err("unsupported flag should have failed"); | ||
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assert_eq!( | ||
re_err.strip_backtrace(), | ||
"Error during planning: regexp_like() does not support the \"global\" option" | ||
); | ||
} | ||
} |
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