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https://issues.apache.org/jira/browse/FLINK-5566?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15874084#comment-15874084
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ASF GitHub Bot commented on FLINK-5566:
---------------------------------------
GitHub user kaibozhou opened a pull request:
https://github.com/apache/flink/pull/3357
[FLINK-5566] [table] Exception when do filter after join a UDTF which
returns a POJO type
Thanks for contributing to Apache Flink. Before you open your pull request,
please take the following check list into consideration.
If your changes take all of the items into account, feel free to open your
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Contribute guide](http://flink.apache.org/how-to-contribute.html).
In addition to going through the list, please provide a meaningful
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- [x] General
- The pull request references the related JIRA issue ("[FLINK-XXX] Jira
title text")
- The pull request addresses only one issue
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JIRA id)
- [ ] Documentation
- Documentation has been added for new functionality
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This PR will fix the case: do filter after join a UDTF which returns a
POJO type
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kaibozhou/flink flink-5827
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/3357.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #3357
----
commit 0abc4f471f93a5f68ec67c27e8e94f531c36de94
Author: 宝牛 <[email protected]>
Date: 2017-02-20T05:43:07Z
[FLINK-5566] [table] Exception when do filter after join a udtf which
returns a POJO type
----
> Introduce structure to hold table and column level statistics
> -------------------------------------------------------------
>
> Key: FLINK-5566
> URL: https://issues.apache.org/jira/browse/FLINK-5566
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Kurt Young
> Assignee: zhangjing
> Fix For: 1.3.0
>
>
> We define two structure mode to hold statistics
> 1. TableStats: contain stats for table level, now only one element: rowCount
> 2. ColumnStats: contain stats of column level.
> for numeric column type: including ndv, nullCount, max, min, histogram
> for string type: including ndv, nullCount, avgLen,maxLen
> for boolean:including ndv, nullCount, trueCount, falseCount
> for date/time/timestamp: including ndv, nullCount, max, min, histogram
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