HIVE-23877: Hive on Spark incorrect partition pruning ANALYZE TABLE #1278
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes HIVE-23877
Partitions are pruned based on the partition specification in ANALYZE TABLE command and cached in TableSpec.
When compiling, It's unnecessary to use PartitionPruner.prune() to get partitions again. And PartitionPruner can not prune partitions for ANALYZE TABLE command, so it will get all partitions.