[branch-50] perf: Fix NLJ slow join with condition array_has (apache#18161) (apache#18179)

## Which issue does this PR close?

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- Related to apache#18070
- Part of apache#18072

## Rationale for this change

Fix performance regression in Datafusion 50

## What changes are included in this PR?

Backport apache#18161 to `branch-50`

## Are these changes tested?

Yes
## Are there any user-facing changes?

Fix performance regression

Co-authored-by: Yongting You <2010youy01@gmail.com>

Author: alamb

datafusion/physical-plan/src/joins/nested_loop_join.rs

@@ -48,11 +48,15 @@ use crate::{
 
 use arrow::array::{
     new_null_array, Array, BooleanArray, BooleanBufferBuilder, RecordBatchOptions,
+    UInt64Array,
 };
 use arrow::buffer::BooleanBuffer;
-use arrow::compute::{concat_batches, filter, filter_record_batch, not, BatchCoalescer};
+use arrow::compute::{
+    concat_batches, filter, filter_record_batch, not, take, BatchCoalescer,
+};
 use arrow::datatypes::{Schema, SchemaRef};
 use arrow::record_batch::RecordBatch;
+use arrow_schema::DataType;
 use datafusion_common::cast::as_boolean_array;
 use datafusion_common::{
     arrow_err, internal_datafusion_err, internal_err, project_schema,
@@ -1658,11 +1662,30 @@ fn build_row_join_batch(
             // Broadcast the single build-side row to match the filtered
             // probe-side batch length
             let original_left_array = build_side_batch.column(column_index.index);
-            let scalar_value = ScalarValue::try_from_array(
-                original_left_array.as_ref(),
-                build_side_index,
-            )?;
-            scalar_value.to_array_of_size(filtered_probe_batch.num_rows())?
+            // Avoid using `ScalarValue::to_array_of_size()` for `List(Utf8View)` to avoid
+            // deep copies for buffers inside `Utf8View` array. See below for details.
+            // https://github.com/apache/datafusion/issues/18159
+            //
+            // In other cases, `to_array_of_size()` is faster.
+            match original_left_array.data_type() {
+                DataType::List(field) | DataType::LargeList(field)
+                    if field.data_type() == &DataType::Utf8View =>
+                {
+                    let indices_iter = std::iter::repeat_n(
+                        build_side_index as u64,
+                        filtered_probe_batch.num_rows(),
+                    );
+                    let indices_array = UInt64Array::from_iter_values(indices_iter);
+                    take(original_left_array.as_ref(), &indices_array, None)?
+                }
+                _ => {
+                    let scalar_value = ScalarValue::try_from_array(
+                        original_left_array.as_ref(),
+                        build_side_index,
+                    )?;
+                    scalar_value.to_array_of_size(filtered_probe_batch.num_rows())?
+                }
+            }
         } else {
             // Take the filtered probe-side column using compute::take
             Arc::clone(filtered_probe_batch.column(column_index.index))

datafusion/sqllogictest/test_files/join_lists.slt

@@ -0,0 +1,63 @@
+# 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.
+
+
+
+## Ensure test coverage for NLJ using joining on LISTS
+
+## Reproducer for https://github.com/apache/datafusion/issues/18070
+
+statement ok
+CREATE TABLE categories_raw
+AS SELECT arrow_cast('cat_' || value, 'Utf8View')  AS category_id FROM generate_series(1, 5);
+
+statement ok
+CREATE TABLE places
+AS SELECT column1 as id, column2 as fsq_category_ids, column3 as date_refreshed
+FROM VALUES
+    (1, ['cat_1', 'cat_2', 'cat_3'], DATE '2023-05-10'),
+    (2, ['cat_4', 'cat_5'], DATE '2021-12-01'),
+    (3, ['cat_6', 'cat_7', 'cat_8', 'cat_9'], DATE '2024-01-15'); --> NOTE these categories do not exist in categories_raw
+
+
+query I
+WITH categories_arr AS (
+    SELECT array_agg(category_id) AS category_ids FROM categories_raw LIMIT 500
+)
+SELECT COUNT(*)
+    FROM places p
+    WHERE array_has_any(p.fsq_category_ids, (SELECT category_ids FROM categories_arr));
+----
+2
+
+query I
+WITH categories_arr AS (
+    SELECT array_agg(category_id) AS category_ids FROM categories_raw LIMIT 500
+)
+SELECT COUNT(*)
+    FROM places p
+    WHERE id <> 1 AND array_has_any(p.fsq_category_ids, (SELECT category_ids FROM categories_arr));
+----
+1
+
+# cleanup
+statement ok
+DROP TABLE categories_raw;
+
+statement ok
+DROP TABLE places;
+