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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-16957) Support CTAS for auto gather column stats
Date Sat, 15 Dec 2018 00:24:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-16957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16721904#comment-16721904
] 

Hive QA commented on HIVE-16957:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12951854/HIVE-16957.03.patch

{color:green}SUCCESS:{color} +1 due to 29 test(s) being added or modified.

{color:green}SUCCESS:{color} +1 due to 15724 tests passed

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/15333/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/15333/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-15333/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12951854 - PreCommit-HIVE-Build

> 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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