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https://issues.apache.org/jira/browse/HUDI-829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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sivabalan narayanan updated HUDI-829:
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Labels: user-support-issues (was: )
> Efficiently reading hudi tables through spark-shell
> ---------------------------------------------------
>
> Key: HUDI-829
> URL: https://issues.apache.org/jira/browse/HUDI-829
> Project: Apache Hudi
> Issue Type: Task
> Components: Spark Integration
> Reporter: Nishith Agarwal
> Assignee: Nishith Agarwal
> Priority: Major
> Labels: user-support-issues
>
> [~uditme] Created this ticket to track some discussion on read/query path of
> spark with Hudi tables.
> My understanding is that when you read Hudi tables through spark-shell, some
> of your queries are slower due to some sequential activity performed by spark
> when interacting with Hudi tables (even with
> spark.sql.hive.convertMetastoreParquet which can give you the same data
> reading speed and all the vectorization benefits). Is this slowness observed
> during spark query planning ? Can you please elaborate on this ?
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