hudi-bot opened a new issue, #15747:
URL: https://github.com/apache/hudi/issues/15747
Currently, in case flag {{hoodie.combine.before.insert}} is set to true and
{{hoodie.bulkinsert.sort.mode}} is set to {{{}NONE{}}}, Bulk Insert Row Writing
performance will considerably degrade due to the following circumstances
* During de-duplication (w/in {{{}dedupRows{}}}) records in the incoming
RDD would be reshuffled (by Spark's default {{{}HashPartitioner{}}}) based on
{{(partition-path, record-key)}} into N partitions
* In case {{BulkInsertSortMode.NONE}} is used as partitioner, no
re-partitioning will be performed and therefore each Spark task might be
writing into M table partitions
* This in turn entails explosion in the number of created (small) files,
killing performance and table's layout
## JIRA info
- Link: https://issues.apache.org/jira/browse/HUDI-5685
- Type: Bug
- Epic: https://issues.apache.org/jira/browse/HUDI-3249
- Fix version(s):
- 1.1.0
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