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Posted to dev@hive.apache.org by "Harsh J (JIRA)" <ji...@apache.org> on 2013/11/05 13:32:17 UTC

[jira] [Moved] (HIVE-5747) Hcat alter table add parttition: add skip header/row feature

     [ https://issues.apache.org/jira/browse/HIVE-5747?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Harsh J moved HADOOP-10084 to HIVE-5747:
----------------------------------------

          Component/s:     (was: conf)
                       HCatalog
    Affects Version/s:     (was: 0.5.0)
                       0.10.0
                  Key: HIVE-5747  (was: HADOOP-10084)
              Project: Hive  (was: Hadoop Common)

> Hcat alter table add parttition: add skip header/row feature
> ------------------------------------------------------------
>
>                 Key: HIVE-5747
>                 URL: https://issues.apache.org/jira/browse/HIVE-5747
>             Project: Hive
>          Issue Type: Improvement
>          Components: HCatalog
>    Affects Versions: 0.10.0
>            Reporter: Rekha Joshi
>            Priority: Minor
>
> Creating hcatalog table using creating tables and alter table add partition is most used approach.However at times the incoming files can come with header row/column names.
> In such cases it would be good feature to be able skip header/rows.
> Suggestions below:
> hcat "alter table rawevents add partition (ds='20100819') location 'hdfs://data/rawevents/20100819/data' -skip header"
> hcat "alter table rawevents add partition (ds='20100819') location 'hdfs://data/rawevents/20100819/data' -skip [n]"
> hcat "alter table rawevents add partition (ds='20100819') location 'hdfs://data/rawevents/20100819/data'" -DskipRow=1
> -- can choose with bounded array (rows) for selecting rows for table
> hcat "alter table rawevents add partition (ds='20100819') location 'hdfs://data/rawevents/20100819/data' -rows[2:]"  // from first row till all
> hcat "alter table rawevents add partition (ds='20100819') location 'hdfs://data/rawevents/20100819/data' -rows[2:100]"  // from first row till 100 rows
> Correct place for this feature in hive or hcat?or with -D can be handled in hcat?
> Thanks
> Rekha



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