[Hive]To avoid excessive HMS memory usage, when executing AlterTable for a Paimon table containing a large number of fields #4549
+112
−3
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Outdated suggestions cannot be applied.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.
Purpose
When metastore=hive is set, if the Paimon table has many fields (1600+), the MetaStoreUtils.updateTableStatsSlow() method will be called by default to update the table statistics, which will cause a sharp increase in HMS memory usage.
In fact, Paimon has its own statistics and does not rely on Hive's statistics.
So, an option is provided to control whether to update Hive table statistics to avoid excessive HMS memory usage.
Linked issue: Issue-4507
API and Format
org.apache.paimon.hive.HiveCatalog#alterTableToHms