Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/448#discussion_r12022387
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SchemaRDD.scala ---
@@ -313,4 +315,82 @@ class SchemaRDD(
}
}
}
+
+ /**
+ * Creates SchemaRDD by applying own schema to derived RDD. Typically
used to wrap return value
+ * of base RDD functions that do not change schema.
+ *
+ * @param rdd RDD derived from this one and has same schema
+ *
+ * @group schema
+ */
+ private def applySchema(rdd: RDD[Row]): SchemaRDD = {
+ new SchemaRDD(sqlContext,
SparkLogicalPlan(ExistingRdd(logicalPlan.output, rdd)))
+ }
+
+ //
=======================================================================
+ // Base RDD functions that do NOT change schema
+ //
=======================================================================
+
+ // Common RDD functions
+
+ override def cache(): SchemaRDD = {
--- End diff --
I'd be okay trying it, my questions then are what it looks like in Scaladoc
and what it looks like in Java. We should also double-check that Scala expects
binary compatibility for this kind of return type.
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