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https://issues.apache.org/jira/browse/FLINK-8230?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16285249#comment-16285249
 ] 

ASF GitHub Bot commented on FLINK-8230:
---------------------------------------

GitHub user packet23 opened a pull request:

    https://github.com/apache/flink/pull/5145

    [FLINK-8230] [ORC] Improved mapping of Orc records to Flink Table rows.

    ## What is the purpose of the change
    
    Improved mapping of Orc records to Flink table rows and ensured nested 
structs are correctly mapped.
    
    ## Brief change log
    
      - Introduced OrcRowReader to be used on a single input split
      - OrcRowReader was adapted from 
org.apache.orc.mapred.OrcMapredRecordReader
      - Added a bunch of test datasets, mostly from orc distribution
    
    
    ## Verifying this change
    
    This change added tests and can be verified as follows:
    
      - OrcRowReaderTest maps test datasets to rows comparing count
      - OrcRowReader is also covered by existing flink-orc unit tests.
      - Manually verified the change by running a 4 node cluster on YARN, 
reading an existing full dataset
    
    ## Does this pull request potentially affect one of the following parts:
    
      - Dependencies (does it add or upgrade a dependency): no
      - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: no
      - The serializers: don't know
      - The runtime per-record code paths (performance sensitive): yes
      - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Yarn/Mesos, ZooKeeper: don't know
      - The S3 file system connector: no
    
    ## Documentation
    
      - Does this pull request introduce a new feature? no
      - If yes, how is the feature documented? not applicable


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/packet23/flink FLINK-8230

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/5145.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 #5145
    
----
commit 93ef978bb5a55700fa25551eda5464860d6d1ae2
Author: Sebastian Klemke <[email protected]>
Date:   2017-12-09T19:35:01Z

    [FLINK-8230] [ORC] Improved mapping of Orc records to Flink Table rows.

----


> NPE in OrcRowInputFormat on nested structs
> ------------------------------------------
>
>                 Key: FLINK-8230
>                 URL: https://issues.apache.org/jira/browse/FLINK-8230
>             Project: Flink
>          Issue Type: Bug
>          Components: Batch Connectors and Input/Output Formats
>    Affects Versions: 1.4.0
>            Reporter: Sebastian Klemke
>            Priority: Minor
>
> OrcRowInputFormat ignores isNull and isRepeating on nested struct columns. If 
> a struct column contains nulls, it tries to read struct fields, leading to 
> NPE in case of string fields:
> {code}
> java.lang.NullPointerException
>       at java.lang.String.checkBounds(String.java:384)
>       at java.lang.String.<init>(String.java:462)
>       at 
> org.apache.flink.orc.OrcUtils.readNonNullBytesColumnAsString(OrcUtils.java:392)
>       at org.apache.flink.orc.OrcUtils.readField(OrcUtils.java:215)
>       at org.apache.flink.orc.OrcUtils.readStructColumn(OrcUtils.java:1203)
>       at org.apache.flink.orc.OrcUtils.readField(OrcUtils.java:252)
>       at 
> org.apache.flink.orc.OrcUtils.readNonNullStructColumn(OrcUtils.java:677)
>       at org.apache.flink.orc.OrcUtils.readField(OrcUtils.java:250)
>       at org.apache.flink.orc.OrcUtils.fillRows(OrcUtils.java:142)
>       at 
> org.apache.flink.orc.OrcRowInputFormat.ensureBatch(OrcRowInputFormat.java:334)
>       at 
> org.apache.flink.orc.OrcRowInputFormat.reachedEnd(OrcRowInputFormat.java:314)
>       at 
> org.apache.flink.runtime.operators.DataSourceTask.invoke(DataSourceTask.java:165)
>       at org.apache.flink.runtime.taskmanager.Task.run(Task.java:718)
>       at java.lang.Thread.run(Thread.java:748)
> {code}



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