GitHub user zhzhan opened a pull request:
https://github.com/apache/spark/pull/6135
[SPARK-2883][SQL] Spark Support for ORCFile with New Framework
Major feature:
1. New data source API support.
2. Basic Operator: saveAsOrcFile and OrcFile. The former is used to save
the table into orc format file, and the latter is used to import orc format
file into spark sql table.
3. Column pruning, partitioning, etc
4. Self-contained schema support: The orc support is fully functional
independent of hive metastore. The table schema is maintained by the orc file
itself.
5. To support the orc file, user need to: import import
org.apache.spark.sql.hive.orc._ to bring in the orc support into context
6. The orc file is operated in HiveContext, the only reason is due to
package issue, and we donât want to bring in hive dependency into spark sql.
Note that orc operations does not relies on Hive metastore.
7. It support full complicated dataType in Spark Sql, for example, list,
seq, and nested datatype.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zhzhan/spark orc-partition
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/6135.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #6135
----
commit 88f41e3edccaeadd4ed9e0882d2f31eb8f9b05f2
Author: Zhan Zhang <zhaz...@gmail.com>
Date: 2015-05-13T16:21:26Z
orc data source support
commit 1b7a795ff5780c3c0991fdd7a5f8c54b483aa0a3
Author: Zhan Zhang <zhaz...@gmail.com>
Date: 2015-05-13T19:17:02Z
minor change
commit 0afe1fad89bdf6e38a74e914193950167de43eeb
Author: Zhan Zhang <zhaz...@gmail.com>
Date: 2015-05-13T23:12:49Z
predicate fix
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