metesynnada commented on code in PR #7366:
URL: https://github.com/apache/arrow-datafusion/pull/7366#discussion_r1301602673
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datafusion/core/src/physical_plan/joins/hash_join.rs:
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@@ -781,22 +780,33 @@ pub fn build_equal_condition_join_indices(
// (5,1)
//
// With this approach, the lexicographic order on both the probe side and
the build side is preserved.
+ let hash_map = build_hashmap.get_map();
+ let next_chain = build_hashmap.get_list();
for (row, hash_value) in hash_values.iter().enumerate().rev() {
// Get the hash and find it in the build index
// For every item on the build and probe we check if it matches
// This possibly contains rows with hash collisions,
// So we have to check here whether rows are equal or not
- if let Some((_, index)) = build_hashmap
- .map
- .get(*hash_value, |(hash, _)| *hash_value == *hash)
+ if let Some((_, index)) =
+ hash_map.get(*hash_value, |(hash, _)| *hash_value == *hash)
{
let mut i = *index - 1;
loop {
- build_indices.append(i);
+ let build_row_value = if let Some(offset) = deleted_offset {
Review Comment:
`let build_row_value = if let Some(offset) = deleted_offset` This operation
is very fast, as it essentially just involves a single check and a variable
assignment. For the usual hash join, the deleted offset will always be `None`.
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