Sun Rui created SPARK-12919:
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Summary: Implement dapply() on DataFrame in SparkR
Key: SPARK-12919
URL: https://issues.apache.org/jira/browse/SPARK-12919
Project: Spark
Issue Type: Sub-task
Components: SparkR
Affects Versions: 1.6.0
Reporter: Sun Rui
dapply() applies an R function on each partition of a DataFrame and returns a
new DataFrame.
The function signature is:
{code}
df <- dapply(df, function(localDF) {}, schema = NULL)
{code}
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() or collect(), but can't be processed
by normal DataFrame operations.
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