{"push_id":1185490279,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"26afb4ce4099e7942f8db1ead3817ed8fbf71ce3","before":"c55397652ad1c6d047a8b8eb7fd92a8a1dc66306","commits":[{"sha":"26afb4ce4099e7942f8db1ead3817ed8fbf71ce3","author":{"name":"Narine Kokhlikyan","email":"320c8f16ec3d7c7efbde3043fd8d8758f3d71a34@slice.com"},"message":"[SPARK-16012][SPARKR] Implement gapplyCollect which will apply a R function on each group similar to gapply and collect the result back to R data.frame\n\n## What changes were proposed in this pull request?\ngapplyCollect() does gapply() on a SparkDataFrame and collect the result back to R. Compared to gapply() + collect(), gapplyCollect() offers performance optimization as well as programming convenience, as no schema is needed to be provided.\n\nThis is similar to dapplyCollect().\n\n## How was this patch tested?\nAdded test cases for gapplyCollect similar to dapplyCollect\n\nAuthor: Narine Kokhlikyan <narine@slice.com>\n\nCloses #13760 from NarineK/gapplyCollect.","distinct":true,"url":"https://api.github.com/repos/dbtsai/spark/commits/26afb4ce4099e7942f8db1ead3817ed8fbf71ce3"}]}
{"actor":{"display_login":"dbtsai-bot"}}