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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/02/22 12:33:00 UTC
[jira] [Commented] (SPARK-37980) Extend METADATA column to support row indices for file based data sources
[ https://issues.apache.org/jira/browse/SPARK-37980?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17692170#comment-17692170 ]
Apache Spark commented on SPARK-37980:
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User 'olaky' has created a pull request for this issue:
https://github.com/apache/spark/pull/40124
> Extend METADATA column to support row indices for file based data sources
> -------------------------------------------------------------------------
>
> Key: SPARK-37980
> URL: https://issues.apache.org/jira/browse/SPARK-37980
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Prakhar Jain
> Assignee: Ala Luszczak
> Priority: Major
> Fix For: 3.4.0
>
>
> Spark recently added hidden metadata column support for File based datasources as part of SPARK-37273.
> We should extend it to support ROW_INDEX/ROW_POSITION also.
>
> Meaning of ROW_POSITION:
> ROW_INDEX/ROW_POSITION is basically an index of a row within a file. E.g. 5th row in the file will have ROW_INDEX 5.
>
> Use cases:
> Row Indexes can be used in a variety of ways. A (fileName, rowIndex) tuple uniquely identifies row in a table. This information can be used to mark rows e.g. this can be used by indexer etc.
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