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Posted to commits@datafusion.apache.org by al...@apache.org on 2025/10/20 17:34:52 UTC

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

This is an automated email from the ASF dual-hosted git repository.

alamb pushed a commit to branch branch-50
in repository https://gitbox.apache.org/repos/asf/datafusion.git


The following commit(s) were added to refs/heads/branch-50 by this push:
     new 0c62e841b0 [branch-50] perf: Fix NLJ slow join with condition `array_has` (#18161) (#18179)
0c62e841b0 is described below

commit 0c62e841b057433caee0529d5762ed6ab1916dd2
Author: Andrew Lamb <an...@nerdnetworks.org>
AuthorDate: Mon Oct 20 10:34:48 2025 -0700

    [branch-50] perf: Fix NLJ slow join with condition `array_has` (#18161) (#18179)
    
    ## Which issue does this PR close?
    
    <!--
    We generally require a GitHub issue to be filed for all bug fixes and
    enhancements and this helps us generate change logs for our releases.
    You can link an issue to this PR using the GitHub syntax. For example
    `Closes #123` indicates that this PR will close issue #123. -->
    
    - Related to https://github.com/apache/datafusion/issues/18070
    - Part of https://github.com/apache/datafusion/issues/18072
    
    ## Rationale for this change
    
    Fix performance regression in Datafusion 50
    
    ## What changes are included in this PR?
    
    Backport https://github.com/apache/datafusion/pull/18161 to `branch-50`
    
    ## Are these changes tested?
    
    Yes
    ## Are there any user-facing changes?
    
    Fix performance regression
    
    Co-authored-by: Yongting You <20...@gmail.com>
---
 .../physical-plan/src/joins/nested_loop_join.rs    | 35 +++++++++---
 datafusion/sqllogictest/test_files/join_lists.slt  | 63 ++++++++++++++++++++++
 2 files changed, 92 insertions(+), 6 deletions(-)

diff --git a/datafusion/physical-plan/src/joins/nested_loop_join.rs b/datafusion/physical-plan/src/joins/nested_loop_join.rs
index ced9078d95..f83a12a2c9 100644
--- a/datafusion/physical-plan/src/joins/nested_loop_join.rs
+++ b/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))
diff --git a/datafusion/sqllogictest/test_files/join_lists.slt b/datafusion/sqllogictest/test_files/join_lists.slt
new file mode 100644
index 0000000000..c07bd85551
--- /dev/null
+++ b/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;
+


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