Github user edrevo commented on the pull request:
https://github.com/apache/spark/pull/1211#issuecomment-47805299
No problem. Thanks for the update!
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Github user edrevo commented on the pull request:
https://github.com/apache/spark/pull/1211#issuecomment-47758337
All feedback has been addressed
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Github user edrevo commented on a diff in the pull request:
https://github.com/apache/spark/pull/1211#discussion_r14280656
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/dsl/package.scala ---
@@ -108,6 +108,24 @@ package object dsl {
implicit
Github user edrevo commented on the pull request:
https://github.com/apache/spark/pull/1211#issuecomment-47191917
I have added DSL support (`avg()`, `count(distinct())`...) following
@rxin's suggestion. I'm happy to change the DSL style if you end up favoring
the othe
Github user edrevo commented on the pull request:
https://github.com/apache/spark/pull/1211#issuecomment-47149603
Yup, that's definitely doable. I'll work on adding that DSL support and add
it to this pull request.
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GitHub user edrevo opened a pull request:
https://github.com/apache/spark/pull/1211
SPARK-2186: Spark SQL DSL support for simple aggregations such as SUM and
AVG
**Description** This patch enables using the `.select()` function in
SchemaRDD with functions such as `Sum`, `Count
