[jira] [Comment Edited] (FLINK-6105) Properly handle InterruptedException in HadoopInputFormatBase

["Ted Yu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-6105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16091003#comment-16091003 ] 

Ted Yu edited comment on FLINK-6105 at 7/26/17 1:18 AM:
--------------------------------------------------------

Using InterruptedIOException is common practice in handling InterruptedException.

You can see a lot of such usage in, e.g. hadoop and hbase.


was (Author: yuzhihong@gmail.com):
Using InterruptedIOException is common practice in handling InterruptedException.
You can see a lot of such usage in, e.g. hadoop and hbase.

> Properly handle InterruptedException in HadoopInputFormatBase
> -------------------------------------------------------------
>
>                 Key: FLINK-6105
>                 URL: https://issues.apache.org/jira/browse/FLINK-6105
>             Project: Flink
>          Issue Type: Bug
>          Components: DataStream API
>            Reporter: Ted Yu
>            Assignee: mingleizhang
>
> When catching InterruptedException, we should throw InterruptedIOException instead of IOException.
> The following example is from HadoopInputFormatBase :
> {code}
>     try {
>       splits = this.mapreduceInputFormat.getSplits(jobContext);
>     } catch (InterruptedException e) {
>       throw new IOException("Could not get Splits.", e);
>     }
> {code}
> There may be other places where IOE is thrown.



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