GitHub user okram opened a pull request:
https://github.com/apache/incubator-tinkerpop/pull/196
TINKERPOP-1072: Allow the user to set persistence options using
StorageLevel.valueOf()
https://issues.apache.org/jira/browse/TINKERPOP-1072
I always thought Spark had some configuration like `default.storageLevel`
and then when a user did `cache()` it would do that default. I was wrong.
`cache()` is always `MEMORY_ONLY`. I made it so you can specify the storage
level for both persisted RDDs and runtime job RDDs and thus now (internally)
use `persist(STORAGE_LEVEL)` where `MEMORY_ONLY` is the default.
Test cases, docs, and Spark integration tests pass.
VOTE +1.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/apache/incubator-tinkerpop TINKERPOP-1072
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-tinkerpop/pull/196.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 #196
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commit 4082a4a043b54c102f49f220b14e2644817e1222
Author: Marko A. Rodriguez <okramma...@gmail.com>
Date: 2016-01-08T18:05:08Z
Allow the user to specify the persistence StorageLevel for both the
computed job graph and any PersistedOutputRDD data. Updated docs, example conf,
and added a test case that validates that persisted to SparkStorage is correct
as the configuration changes.
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