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https://issues.apache.org/jira/browse/HIVE-16957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16726181#comment-16726181
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Ashutosh Chauhan commented on HIVE-16957:
-----------------------------------------

Left some comments for golden file updates. Still going through code changes.

> Support CTAS for auto gather column stats
> -----------------------------------------
>
>                 Key: HIVE-16957
>                 URL: https://issues.apache.org/jira/browse/HIVE-16957
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Pengcheng Xiong
>            Assignee: Jesus Camacho Rodriguez
>            Priority: Major
>         Attachments: HIVE-16957.01.patch, HIVE-16957.02.patch, 
> HIVE-16957.03.patch, HIVE-16957.patch
>
>
> The idea is to rely as much as possible on the logic in 
> ColumnStatsSemanticAnalyzer as other operations do. In particular, they 
> create a 'analyze table t compute statistics for columns', use 
> ColumnStatsSemanticAnalyzer to parse it, and connect resulting plan to 
> existing INSERT/INSERT OVERWRITE statement. The challenge for CTAS or CREATE 
> MATERIALIZED VIEW is that the table object does not exist yet, hence we 
> cannot rely fully on ColumnStatsSemanticAnalyzer.
> Thus, we use same process, but ColumnStatsSemanticAnalyzer produces a 
> statement for column stats collection that uses a table values clause instead 
> of the original table reference:
> {code}
> select compute_stats(col1), compute_stats(col2), compute_stats(col3)
> from table(values(cast(null as int), cast(null as int), cast(null as 
> string))) as t(col1, col2, col3);
> {code}



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