GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/4592
[SPARK-5799][SQL] Compute aggregation function on specified numeric columns
Compute aggregation function on specified numeric columns. For example:
val df = Seq(("a", 1, 0, "b"), ("b", 2, 4, "c"), ("a", 2, 3,
"d")).toDataFrame("key", "value1", "value2", "rest")
df.groupBy("key").min("value2")
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 specific_cols_agg
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4592.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 #4592
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commit 371a3f722c2c4c92275c30bfe060b353c719a216
Author: Liang-Chi Hsieh <[email protected]>
Date: 2015-02-13T16:15:33Z
Compute aggregation function on specified numeric columns.
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