Github user NarineK commented on the issue:
https://github.com/apache/spark/pull/13660
Hi @vectorijk , @felixcheung ,
As I was looking at the documentation generated in R I've noticed that
there is some duplicated information. I'm not sure if this is the right place
to ask about it, I thought you might have seen it.
In I help I see the following:
```
Arguments
x
A SparkDataFrame
func
A function to be applied to each partition of the SparkDataFrame. func
should have only one parameter, to which a data.frame corresponds to each
partition will be passed. The output of func should be a data.frame.
schema
The schema of the resulting SparkDataFrame after the function is applied.
It must match the output of func.
x
A SparkDataFrame
func
A function to be applied to each partition of the SparkDataFrame. func
should have only one parameter, to which a data.frame corresponds to each
partition will be passed. The output of func should be a data.frame.
See Also
Other SparkDataFrame functions: SparkDataFrame-class, [[, agg, arrange,
as.data.frame, attach, cache, collect, colnames, coltypes, columns, count,
createOrReplaceTempView, describe, dim, distinct, dropDuplicates, dropna, drop,
dtypes, except, explain, filter, first, gapplyCollect, gapply, group_by, head,
histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol,
persist, printSchema, rename, repartition, sample, saveAsTable, selectExpr,
select, showDF, show, str, take, unionAll, unpersist, withColumn, with,
write.df, write.jdbc, write.json, write.parquet, write.text
Other SparkDataFrame functions: SparkDataFrame-class, [[, agg, arrange,
as.data.frame, attach, cache, collect, colnames, coltypes, columns, count,
createOrReplaceTempView, describe, dim, distinct, dropDuplicates, dropna, drop,
dtypes, except, explain, filter, first, gapplyCollect, gapply, group_by, head,
histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol,
persist, printSchema, rename, repartition, sample, saveAsTable, selectExpr,
select, showDF, show, str, take, unionAll, unpersist, withColumn, with,
write.df, write.jdbc, write.json, write.parquet, write.text
```
Is this on purpose ?
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