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Posted to issues@spark.apache.org by "Chao Sun (Jira)" <ji...@apache.org> on 2021/08/16 18:32:00 UTC
[jira] [Updated] (SPARK-36527) Implement lazy materialization for
the vectorized Parquet reader
[ https://issues.apache.org/jira/browse/SPARK-36527?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chao Sun updated SPARK-36527:
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Description: At the moment the Parquet vectorized reader will eagerly decode all the columns that are in the read schema, before any filter has been applied to them. This is costly. Instead it's better to only materialize these column vectors when the data are actually needed. (was: At the moment the Parquet vectorized reader will eagerly decode all the columns that are in the read schema, before any filter has been applied to them. This is costly. Instead it's better to only materialize these column vectors when the data are actually read.)
> Implement lazy materialization for the vectorized Parquet reader
> ----------------------------------------------------------------
>
> Key: SPARK-36527
> URL: https://issues.apache.org/jira/browse/SPARK-36527
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Chao Sun
> Priority: Major
>
> At the moment the Parquet vectorized reader will eagerly decode all the columns that are in the read schema, before any filter has been applied to them. This is costly. Instead it's better to only materialize these column vectors when the data are actually needed.
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