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From "Edward Capriolo (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HIVE-1419) Policy on deserialization errors
Date Mon, 21 Jun 2010 17:41:29 GMT

    [ https://issues.apache.org/jira/browse/HIVE-1419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12880908#action_12880908

Edward Capriolo commented on HIVE-1419:

I am looking through this and trying to wrap my head around it. Off hand do you know what
happens in this situation. 

We have a table that we have added columns to over time

create table tab (a int, b int);

Over time we have added more columns

alter table tab (a int, b int, c int)

This works fine for us as selecting column c on older data returns null for that column. Will
this behaviour be preserved ?

> Policy on deserialization errors
> --------------------------------
>                 Key: HIVE-1419
>                 URL: https://issues.apache.org/jira/browse/HIVE-1419
>             Project: Hadoop Hive
>          Issue Type: Improvement
>          Components: Serializers/Deserializers
>    Affects Versions: 0.5.0
>            Reporter: Vladimir Klimontovich
>            Assignee: Vladimir Klimontovich
>            Priority: Minor
>             Fix For: 0.5.1, 0.6.0
>         Attachments: corrupted_records_0.5.patch, corrupted_records_0.5_ver2.patch, corrupted_records_trunk.patch,
> When deserializer throws an exception the whole map tasks fails (see MapOperator.java
file). It's not always an convenient behavior especially on huge datasets where several corrupted
lines could be a normal practice. Proposed solution:
> 1) Have a counter of corrupted records
> 2) When a counter exceeds a limit (configurable via hive.max.deserializer.errors property,
0 by default) throw an exception. Otherwise just log and exception with WARN level.
> Patches for 0.5 branch and trunk are attached

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