[jira] [Updated] (FLINK-9407) Support orc rolling sink writer

["Stephan Ewen (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-9407?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Stephan Ewen updated FLINK-9407:
--------------------------------
    Labels: pull-request-available usability  (was: pull-request-available)

> Support orc rolling sink writer
> -------------------------------
>
>                 Key: FLINK-9407
>                 URL: https://issues.apache.org/jira/browse/FLINK-9407
>             Project: Flink
>          Issue Type: New Feature
>          Components: Connectors / FileSystem
>            Reporter: zhangminglei
>            Assignee: zhangminglei
>            Priority: Major
>              Labels: pull-request-available, usability
>             Fix For: 1.11.0
>
>
> Currently, we only support {{StringWriter}}, {{SequenceFileWriter}} and {{AvroKeyValueSinkWriter}}. I would suggest add an orc writer for rolling sink.
> Below, FYI.
> I tested the PR and verify the results with spark sql. Obviously, we can get the results of what we had written down before. But I will give more tests in the next couple of days. Including the performance under compression with short checkpoint intervals. And more UTs.
> {code:java}
> scala> spark.read.orc("hdfs://10.199.196.0:9000/data/hive/man/2018-07-06--21")
> res1: org.apache.spark.sql.DataFrame = [name: string, age: int ... 1 more field]
> scala>
> scala> res1.registerTempTable("tablerice")
> warning: there was one deprecation warning; re-run with -deprecation for details
> scala> spark.sql("select * from tablerice")
> res3: org.apache.spark.sql.DataFrame = [name: string, age: int ... 1 more field]
> scala> res3.show(3)
> +-----+---+-------+
> | name|age|married|
> +-----+---+-------+
> |Sagar| 26|  false|
> |Sagar| 30|  false|
> |Sagar| 34|  false|
> +-----+---+-------+
> only showing top 3 rows
> {code}



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