Dandandan commented on code in PR #12531:
URL: https://github.com/apache/datafusion/pull/12531#discussion_r1766817284
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datafusion/physical-plan/src/joins/nested_loop_join.rs:
##########
@@ -458,19 +457,47 @@ struct NestedLoopJoinStream {
join_metrics: BuildProbeJoinMetrics,
}
+/// Creates a Cartesian product of two input batches, preserving the order of
the right batch,
+/// and applying a join filter if provided.
+///
+/// # Example
+/// Input:
+/// left = [0, 1], right = [0, 1, 2]
+///
+/// Output:
+/// left_indices = [0, 1, 0, 1, 0, 1], right_indices = [0, 0, 1, 1, 2, 2]
+///
+/// Input:
+/// left = [0, 1, 2], right = [0, 1, 2, 3], filter = left.a != right.a
+///
+/// Output:
+/// left_indices = [1, 2, 0, 2, 0, 1, 0, 1, 2], right_indices = [0, 0, 1, 1,
2, 2, 3, 3, 3]
fn build_join_indices(
- right_row_index: usize,
left_batch: &RecordBatch,
right_batch: &RecordBatch,
filter: Option<&JoinFilter>,
) -> Result<(UInt64Array, UInt32Array)> {
- // left indices: [0, 1, 2, 3, 4, ..., left_row_count]
- // right indices: [right_index, right_index, ..., right_index]
-
let left_row_count = left_batch.num_rows();
- let left_indices = UInt64Array::from_iter_values(0..(left_row_count as
u64));
- let right_indices = UInt32Array::from(vec![right_row_index as u32;
left_row_count]);
- // in the nested loop join, the filter can contain non-equal and equal
condition.
+ let right_row_count = right_batch.num_rows();
+
+ // Calculate the capacity of the output array to avoid reallocations
+ let capacity = left_row_count * right_row_count;
+
+ // Left indices are 0..left_row_count repeated right_row_count times
+ let mut left_indices_builder = UInt64Array::builder(capacity);
Review Comment:
Using `Vec` to build the indices is slightly faster and has some nicer
syntax.
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