Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
37 changes: 30 additions & 7 deletions datafusion/functions/src/string/levenshtein.rs
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ use arrow::array::{ArrayRef, Int32Array, Int64Array, OffsetSizeTrait};
use arrow::datatypes::DataType;

use crate::utils::{make_scalar_function, utf8_to_int_type};
use datafusion_common::cast::as_generic_string_array;
use datafusion_common::cast::{as_generic_string_array, as_string_view_array};
use datafusion_common::utils::datafusion_strsim;
use datafusion_common::{exec_err, Result};
use datafusion_expr::ColumnarValue;
Expand All @@ -42,10 +42,13 @@ impl Default for LevenshteinFunc {

impl LevenshteinFunc {
pub fn new() -> Self {
use DataType::*;
Self {
signature: Signature::one_of(
vec![Exact(vec![Utf8, Utf8]), Exact(vec![LargeUtf8, LargeUtf8])],
vec![
Exact(vec![DataType::Utf8View, DataType::Utf8View]),
Exact(vec![DataType::Utf8, DataType::Utf8]),
Exact(vec![DataType::LargeUtf8, DataType::LargeUtf8]),
],
Volatility::Immutable,
),
}
Expand All @@ -71,7 +74,9 @@ impl ScalarUDFImpl for LevenshteinFunc {

fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> {
match args[0].data_type() {
DataType::Utf8 => make_scalar_function(levenshtein::<i32>, vec![])(args),
DataType::Utf8View | DataType::Utf8 => {
make_scalar_function(levenshtein::<i32>, vec![])(args)
}
DataType::LargeUtf8 => make_scalar_function(levenshtein::<i64>, vec![])(args),
other => {
exec_err!("Unsupported data type {other:?} for function levenshtein")
Expand All @@ -89,10 +94,26 @@ pub fn levenshtein<T: OffsetSizeTrait>(args: &[ArrayRef]) -> Result<ArrayRef> {
args.len()
);
}
let str1_array = as_generic_string_array::<T>(&args[0])?;
let str2_array = as_generic_string_array::<T>(&args[1])?;

match args[0].data_type() {
DataType::Utf8View => {
let str1_array = as_string_view_array(&args[0])?;
let str2_array = as_string_view_array(&args[1])?;
let result = str1_array
.iter()
.zip(str2_array.iter())
.map(|(string1, string2)| match (string1, string2) {
(Some(string1), Some(string2)) => {
Some(datafusion_strsim::levenshtein(string1, string2) as i32)
}
_ => None,
})
.collect::<Int32Array>();
Ok(Arc::new(result) as ArrayRef)
}
DataType::Utf8 => {
let str1_array = as_generic_string_array::<T>(&args[0])?;
let str2_array = as_generic_string_array::<T>(&args[1])?;
let result = str1_array
.iter()
.zip(str2_array.iter())
Expand All @@ -106,6 +127,8 @@ pub fn levenshtein<T: OffsetSizeTrait>(args: &[ArrayRef]) -> Result<ArrayRef> {
Ok(Arc::new(result) as ArrayRef)
}
DataType::LargeUtf8 => {
let str1_array = as_generic_string_array::<T>(&args[0])?;
let str2_array = as_generic_string_array::<T>(&args[1])?;
let result = str1_array
.iter()
.zip(str2_array.iter())
Expand All @@ -120,7 +143,7 @@ pub fn levenshtein<T: OffsetSizeTrait>(args: &[ArrayRef]) -> Result<ArrayRef> {
}
other => {
exec_err!(
"levenshtein was called with {other} datatype arguments. It requires Utf8 or LargeUtf8."
"levenshtein was called with {other} datatype arguments. It requires Utf8View, Utf8 or LargeUtf8."
)
}
}
Expand Down
6 changes: 2 additions & 4 deletions datafusion/sqllogictest/test_files/string_view.slt
Original file line number Diff line number Diff line change
Expand Up @@ -599,17 +599,15 @@ logical_plan
02)--TableScan: test projection=[column1_utf8view]

## Ensure no casts for LEVENSHTEIN
## TODO https://github.com/apache/datafusion/issues/11854
query TT
EXPLAIN SELECT
levenshtein(column1_utf8view, 'foo') as c1,
levenshtein(column1_utf8view, column2_utf8view) as c2
FROM test;
----
logical_plan
01)Projection: levenshtein(__common_expr_1, Utf8("foo")) AS c1, levenshtein(__common_expr_1, CAST(test.column2_utf8view AS Utf8)) AS c2
02)--Projection: CAST(test.column1_utf8view AS Utf8) AS __common_expr_1, test.column2_utf8view
03)----TableScan: test projection=[column1_utf8view, column2_utf8view]
01)Projection: levenshtein(test.column1_utf8view, Utf8View("foo")) AS c1, levenshtein(test.column1_utf8view, test.column2_utf8view) AS c2
02)--TableScan: test projection=[column1_utf8view, column2_utf8view]

## Ensure no casts for LOWER
## TODO https://github.com/apache/datafusion/issues/11855
Expand Down