[jira] [Created] (HADOOP-10084) Hcat alter table add parttition: add skip header/row feature

["Rekha Joshi (JIRA)" <ji...@apache.org>]

Rekha Joshi created HADOOP-10084:
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             Summary: Hcat alter table add parttition: add skip header/row feature
                 Key: HADOOP-10084
                 URL: https://issues.apache.org/jira/browse/HADOOP-10084
             Project: Hadoop Common
          Issue Type: Improvement
          Components: conf
    Affects Versions: 0.5.0
            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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