GitHub user holdenk opened a pull request:
https://github.com/apache/spark/pull/8879
[SPARK-10720][SQL][JAVA][WIP] Add a java wrapper to create a dataframe from
a local list of java beans
Similar to SPARK-10630 it would be nice if Java users didn't have to
parallelize there data explicitly (as Scala users already can skip). Issue came
up in
http://stackoverflow.com/questions/32613413/apache-spark-machine-learning-cant-get-estimator-example-to-work
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/holdenk/spark
SPARK-10720-add-a-java-wrapper-to-create-a-dataframe-from-a-local-list-of-java-beans
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8879.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 #8879
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commit 2f6369e7a4d13123e7c1bdc6f391b29d64b6bc19
Author: Holden Karau <[email protected]>
Date: 2015-09-23T06:22:52Z
Start trying to add create dataframe for javabeans from local java list
commit 2f53975f6290296e12a669a7c04e8edd247d3596
Author: Holden Karau <[email protected]>
Date: 2015-09-23T06:27:05Z
Compiles now
commit 3e7737a980efa7a3da83541f1f9e01d8529c4860
Author: Holden Karau <[email protected]>
Date: 2015-09-23T06:36:34Z
Add a test for creation through list as well
commit decf0c5863b08956eda9fed58f59ec6c8f2426ce
Author: Holden Karau <[email protected]>
Date: 2015-09-23T06:37:44Z
Class already exists.
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