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13 changes: 11 additions & 2 deletions datafusion/spark/src/function/collection/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -15,11 +15,20 @@
// specific language governing permissions and limitations
// under the License.

pub mod size;

use datafusion_expr::ScalarUDF;
use datafusion_functions::make_udf_function;
use std::sync::Arc;

pub mod expr_fn {}
make_udf_function!(size::SparkSize, size);

pub mod expr_fn {
use datafusion_functions::export_functions;

export_functions!((size, "Return the size of an array or map.", arg));
}

pub fn functions() -> Vec<Arc<ScalarUDF>> {
vec![]
vec![size()]
}
162 changes: 162 additions & 0 deletions datafusion/spark/src/function/collection/size.rs
Original file line number Diff line number Diff line change
@@ -0,0 +1,162 @@
// 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.

use arrow::array::{Array, ArrayRef, AsArray, Int32Array};
use arrow::compute::kernels::length::length as arrow_length;
use arrow::datatypes::{DataType, Field, FieldRef};
use datafusion_common::{Result, plan_err};
use datafusion_expr::{
ArrayFunctionArgument, ArrayFunctionSignature, ColumnarValue, ReturnFieldArgs,
ScalarFunctionArgs, ScalarUDFImpl, Signature, TypeSignature, Volatility,
};
use datafusion_functions::utils::make_scalar_function;
use std::any::Any;
use std::sync::Arc;

/// Spark-compatible `size` function.
///
/// Returns the number of elements in an array or the number of key-value pairs in a map.
/// Returns -1 for null input (Spark behavior).
#[derive(Debug, PartialEq, Eq, Hash)]
pub struct SparkSize {
signature: Signature,
}

impl Default for SparkSize {
fn default() -> Self {
Self::new()
}
}

impl SparkSize {
pub fn new() -> Self {
Self {
signature: Signature::one_of(
vec![
// Array Type
TypeSignature::ArraySignature(ArrayFunctionSignature::Array {
arguments: vec![ArrayFunctionArgument::Array],
array_coercion: None,
}),
// Map Type
TypeSignature::ArraySignature(ArrayFunctionSignature::MapArray),
],
Volatility::Immutable,
),
}
}
}

impl ScalarUDFImpl for SparkSize {
fn as_any(&self) -> &dyn Any {
self
}

fn name(&self) -> &str {
"size"
}

fn signature(&self) -> &Signature {
&self.signature
}

fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
Ok(DataType::Int32)
}

fn return_field_from_args(&self, _args: ReturnFieldArgs) -> Result<FieldRef> {
// nullable=false for legacy behavior (NULL -> -1); set to input nullability for null-on-null
Ok(Arc::new(Field::new(self.name(), DataType::Int32, false)))
}

fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
make_scalar_function(spark_size_inner, vec![])(&args.args)
}
}

fn spark_size_inner(args: &[ArrayRef]) -> Result<ArrayRef> {
let array = &args[0];

match array.data_type() {
DataType::List(_) => {
if array.null_count() == 0 {
Ok(arrow_length(array)?)
} else {
let list_array = array.as_list::<i32>();
let lengths: Vec<i32> = list_array
.offsets()
.lengths()
.enumerate()
.map(|(i, len)| if array.is_null(i) { -1 } else { len as i32 })
.collect();
Ok(Arc::new(Int32Array::from(lengths)))
}
}
DataType::FixedSizeList(_, size) => {
if array.null_count() == 0 {
Ok(arrow_length(array)?)
} else {
let length: Vec<i32> = (0..array.len())
.map(|i| if array.is_null(i) { -1 } else { *size })
.collect();
Ok(Arc::new(Int32Array::from(length)))
}
}
DataType::LargeList(_) => {
// Arrow length kernel returns Int64 for LargeList
let list_array = array.as_list::<i64>();
if array.null_count() == 0 {
let lengths: Vec<i32> = list_array
.offsets()
.lengths()
.map(|len| len as i32)
.collect();
Ok(Arc::new(Int32Array::from(lengths)))
} else {
let lengths: Vec<i32> = list_array
.offsets()
.lengths()
.enumerate()
.map(|(i, len)| if array.is_null(i) { -1 } else { len as i32 })
.collect();
Ok(Arc::new(Int32Array::from(lengths)))
}
}
DataType::Map(_, _) => {
let map_array = array.as_map();
let length: Vec<i32> = if array.null_count() == 0 {
map_array
.offsets()
.lengths()
.map(|len| len as i32)
.collect()
} else {
map_array
.offsets()
.lengths()
.enumerate()
.map(|(i, len)| if array.is_null(i) { -1 } else { len as i32 })
.collect()
};
Ok(Arc::new(Int32Array::from(length)))
}
DataType::Null => Ok(Arc::new(Int32Array::from(vec![-1; array.len()]))),
dt => {
plan_err!("size function does not support type: {}", dt)
}
}
}
132 changes: 132 additions & 0 deletions datafusion/sqllogictest/test_files/spark/collection/size.slt
Original file line number Diff line number Diff line change
@@ -0,0 +1,132 @@
# 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.

# This file was originally created by a porting script from:
# https://github.com/lakehq/sail/tree/43b6ed8221de5c4c4adbedbb267ae1351158b43c/crates/sail-spark-connect/tests/gold_data/function
# This file is part of the implementation of the datafusion-spark function library.
# For more information, please see:
# https://github.com/apache/datafusion/issues/15914

## Original Query: SELECT size(array(1, 2, 3));
## PySpark 3.5.5 Result: {'size(array(1, 2, 3))': 3}

# Basic array
query I
SELECT size(make_array(1, 2, 3));
----
3

# Nested array
query I
SELECT size(make_array(make_array(1, 2), make_array(3, 4, 5)));
----
2

# LargeList tests
query I
SELECT size(arrow_cast(make_array(1, 2, 3), 'LargeList(Int32)'));
----
3

query I
SELECT size(arrow_cast(make_array(1, 2, 3, 4, 5), 'LargeList(Int64)'));
----
5

# FixedSizeList tests
query I
SELECT size(arrow_cast(make_array(1, 2, 3), 'FixedSizeList(3, Int32)'));
----
3

query I
SELECT size(arrow_cast(make_array(1, 2, 3, 4), 'FixedSizeList(4, Int32)'));
----
4

# Map size tests
query I
SELECT size(map(make_array('a', 'b', 'c'), make_array(1, 2, 3)));
----
3

query I
SELECT size(map(make_array('a'), make_array(1)));
----
1

# Empty array
query I
SELECT size(arrow_cast(make_array(), 'List(Int32)'));
----
0


# Array with NULL elements (size counts elements including NULLs)
query I
SELECT size(make_array(1, NULL, 3));
----
3

# NULL array returns -1 (Spark behavior)
query I
SELECT size(NULL::int[]);
----
-1


# Empty map
query I
SELECT size(map(arrow_cast(make_array(), 'List(Utf8)'), arrow_cast(make_array(), 'List(Int32)')));
----
0

# String array
query I
SELECT size(make_array('hello', 'world'));
----
2

# Boolean array
query I
SELECT size(make_array(true, false, true));
----
3

# Float array
query I
SELECT size(make_array(1.5, 2.5, 3.5, 4.5));
----
4

# Array column tests (with NULL values)
query I
SELECT size(column1) FROM VALUES ([1]), ([1,2]), ([]), (NULL);
----
1
2
0
-1

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We should add some array tests too, e.g.

query I
SELECT size(column1) FROM VALUES ([1], [1,2], [], NULL);
----
1
2
0
-1

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No problem! I will add some tests. Thanks!

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@Jefffrey
thanks for your suggestion. I added two more tests and reorganized the tests order. PTAL when you have a chance. Thanks!.

# Map column tests (with NULL values)
query I
SELECT size(column1) FROM VALUES (map(['a'], [1])), (map(['a','b'], [1,2])), (NULL);
----
1
2
-1