[
https://issues.apache.org/jira/browse/HUDI-7144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17837474#comment-17837474
]
Vinoth Chandar commented on HUDI-7144:
--------------------------------------
Things to ensure :
1. the out-of-box experience for partitioned tables should need any additional
write/qiuery configs to pass in col stats fields etc...
2. what about data type support? uses comparable.
3. tests around just the MT partition read/write.
> Support query for tables written as partitionBy but synced as non-partitioned
> -----------------------------------------------------------------------------
>
> Key: HUDI-7144
> URL: https://issues.apache.org/jira/browse/HUDI-7144
> Project: Apache Hudi
> Issue Type: Task
> Reporter: Sagar Sumit
> Assignee: Sagar Sumit
> Priority: Major
> Labels: hudi-1.0.0-beta2, pull-request-available
> Fix For: 1.0.0
>
>
> In HUDI-7023, we added support to sync any table as non-partitioned table and
> yet be able to query via Spark with the same performance benefits of
> partitioned table.
> This ticket extends the functionality end-to-end. If a user executes
> `spark.write.format("hudi").options(options).partitionBy(partCol).save(basePath)`,
> then do logical partitioning and sync as non-partitioned table to the
> catalog. Yet be able to query efficiently,.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
