Sun Rui 4ae9fe091c [SPARK-12919][SPARKR] Implement dapply() on DataFrame in SparkR. ... ## What changes were proposed in this pull request? dapply() applies an R function on each partition of a DataFrame and returns a new DataFrame. The function signature is: dapply(df, function(localDF) {}, schema = NULL) R function input: local data.frame from the partition on local node R function output: local data.frame Schema specifies the Row format of the resulting DataFrame. It must match the R function's output. If schema is not specified, each partition of the result DataFrame will be serialized in R into a single byte array. Such resulting DataFrame can be processed by successive calls to dapply(). ## How was this patch tested? SparkR unit tests. Author: Sun Rui <rui.sun@intel.com> Author: Sun Rui <sunrui2016@gmail.com> Closes #12493 from sun-rui/SPARK-12919.		2016-04-29 16:41:07 -07:00
..
src	[SPARK-12919][SPARKR] Implement dapply() on DataFrame in SparkR.	2016-04-29 16:41:07 -07:00
pom.xml	Revert "[SPARK-14613][ML] Add @Since into the matrix and vector classes in spark-mllib-local"	2016-04-28 19:57:41 -07:00