uros7251brick opened a new pull request, #52586:
URL: https://github.com/apache/spark/pull/52586
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Currently, Spark has two bitmap aggregation functions `bitmap_construct_agg`
and `bitmap_or_agg` for constructing a bitmap out of set of integers and
performing union on two sets represented by bitmaps, respectively. However,
efficient intersect operation (bitwise AND) is missing.
## What changes were proposed in this pull request?
- **Implemented `bitmap_and_agg` expression**: New aggregation function that
performs bitwise AND operations on binary column inputs.
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### Design Decisions
- **Result on empty input is identity element for the operation**: Empty
input groups return all-ones bitmaps (AND identity).
- **Missing bytes handling**: For AND operations, missing bytes in input are
treated as zeros to maintain intersection semantics.
## How was this patch tested?
Added new test cases to cover `bitmap_and_agg` functionality:
- **`BitmapExpressionsQuerySuite`**: Added test cases for basic AND
operations, edge cases, empty group handling, and integration with other bitmap
functions.
### Does this PR introduce _any_ user-facing change?
No.
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### Was this patch authored or co-authored using generative AI tooling?
No.
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