c21 opened a new pull request #31413:
URL: https://github.com/apache/spark/pull/31413
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### What changes were proposed in this pull request?
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As a followup from discussion in
https://github.com/apache/spark/pull/29804#discussion_r493100510 . Currently in
data source v1 file scan `FileSourceScanExec`, [bucket filter pruning will only
take effect with bucket table
scan](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala#L542
). However this is unnecessary, as bucket filter pruning can also happen if we
disable bucketed table scan. Read files with bucket hash partitioning, and
bucket filter pruning are two orthogonal features, and do not need to couple
together.
### Why are the changes needed?
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This help query leverage the benefit from bucket filter pruning to save
CPU/IO to not read unnecessary bucket files, and do not bound by bucket table
scan when the parallelism of tasks is a concern.
In addition, this also resolves the issue to reduce number of tasks launched
for simple query with bucket column filter - SPARK-33207, because with bucket
scan, we launch # of tasks to equal to # of buckets, and this is unnecessary.
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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Added unit test in `BucketedReadSuite.scala` to make all existing unit tests
for bucket filter work with this PR.
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