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From "Mithun Radhakrishnan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-9845) HCatSplit repeats information making input split data size huge
Date Sat, 11 Apr 2015 22:30:12 GMT

    [ https://issues.apache.org/jira/browse/HIVE-9845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14491235#comment-14491235
] 

Mithun Radhakrishnan commented on HIVE-9845:
--------------------------------------------

The failures are unrelated to the code-change.

> HCatSplit repeats information making input split data size huge
> ---------------------------------------------------------------
>
>                 Key: HIVE-9845
>                 URL: https://issues.apache.org/jira/browse/HIVE-9845
>             Project: Hive
>          Issue Type: Bug
>          Components: HCatalog
>            Reporter: Rohini Palaniswamy
>            Assignee: Mithun Radhakrishnan
>         Attachments: HIVE-9845.1.patch, HIVE-9845.3.patch, HIVE-9845.4.patch
>
>
> Pig on Tez jobs with larger tables hit PIG-4443. Running on HDFS data which has even
triple the number of splits(100K+ splits and tasks) does not hit that issue.
> {code}
> HCatBaseInputFormat.java:
>  //Call getSplit on the InputFormat, create an
>       //HCatSplit for each underlying split
>       //NumSplits is 0 for our purposes
>       org.apache.hadoop.mapred.InputSplit[] baseSplits = 
>         inputFormat.getSplits(jobConf, 0);
>       for(org.apache.hadoop.mapred.InputSplit split : baseSplits) {
>         splits.add(new HCatSplit(
>             partitionInfo,
>             split,allCols));
>       }
> {code}
> Each hcatSplit duplicates partition schema and table schema.



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