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https://issues.apache.org/jira/browse/HIVE-17874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16214620#comment-16214620
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Vihang Karajgaonkar commented on HIVE-17874:
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Thanks for the review [~Ferd]. I made changes as you suggested. I moved
{{colsToInclude = ColumnProjectionUtils.getReadColumnIDs(conf);}} in the
{{initialize}} method because I got rid of unnecessary field
{{indexColumnsWanted}} and reused colsToInclude instead. I have moved the
{{rbCtx = Utilities.getVectorizedRowBatchCtx(conf);}} in the initialize method
as well like you suggested. Also updated the comment and removed unnecessary
diff. Feel free to let me know if you want me to publish the patch on RB as
well.
> Parquet vectorization fails on tables with complex columns when there are no
> projected columns
> ----------------------------------------------------------------------------------------------
>
> Key: HIVE-17874
> URL: https://issues.apache.org/jira/browse/HIVE-17874
> Project: Hive
> Issue Type: Sub-task
> Affects Versions: 2.2.0
> Reporter: Vihang Karajgaonkar
> Assignee: Vihang Karajgaonkar
> Attachments: HIVE-17874.01-branch-2.patch, HIVE-17874.01.patch,
> HIVE-17874.02.patch
>
>
> When a parquet table contains an unsupported type like {{Map}}, {{LIST}} or
> {{UNION}} simple queries like {{select count(*) from table}} fails with
> {{unsupported type exception}} even though vectorized reader doesn't really
> need read the complex type into batches.
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