Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r61710263
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/api/r/SQLUtils.scala
---
@@ -155,6 +155,52 @@ private[sql] object SQLUtils {
df.mapPartitionsInR(func, packageNames, bv, realSchema)
}
+ /**
+ * The helper function for gapply() on R side.
+ */
+ def gapply(
+ df: DataFrame,
+ func: Array[Byte],
+ packageNames: Array[Byte],
+ broadcastVars: Array[Object],
+ schema: StructType,
+ col: String): DataFrame = {
+
+ val realSchema =
+ if (schema == null) {
+ SERIALIZED_R_DATA_SCHEMA
+ } else {
+ schema
+ }
+
+ val dfSchema = df.select(df(col)).schema
+ if (dfSchema.length == 0) throw new IllegalArgumentException(s"Invaid
column name $col")
+ val dataType = dfSchema(0).dataType
+
+ val sqlContext = df.sqlContext
+ import sqlContext.implicits._
+
+ dataType match {
+ case ByteType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Byte](col),
+ func, packageNames, broadcastVars, realSchema)
+ case IntegerType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Int](col),
+ func, packageNames, broadcastVars, realSchema)
+ case FloatType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Float](col),
+ func, packageNames, broadcastVars, realSchema)
+ case DoubleType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Double](col),
+ func, packageNames, broadcastVars, realSchema)
+ case StringType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[String](col),
+ func, packageNames, broadcastVars, realSchema)
+ case BinaryType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Array[Byte]](col),
+ func, packageNames, broadcastVars, realSchema)
+ case BooleanType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Boolean](col),
+ func, packageNames, broadcastVars, realSchema)
+ case TimestampType => df.mapGroupPartitionsInR((r: Row) =>
r.getAs[Long](col),
+ func, packageNames, broadcastVars, realSchema)
+ case _ => throw new IllegalArgumentException(s"Invaid type
$dataType")
--- End diff --
This whole block needs to be simplified
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