Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/11117#discussion_r52869683
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/objects.scala ---
@@ -67,6 +74,72 @@ case class MapPartitions(
}
}
+case class PythonMapPartitions(
+ func: PythonFunction,
+ output: Seq[Attribute],
+ child: SparkPlan) extends UnaryNode {
+
+ override def expressions: Seq[Expression] = Nil
+
+ private def isPickled(schema: StructType): Boolean = {
+ schema.length == 1 && schema.head.dataType == BinaryType &&
+ schema.head.metadata.contains("pickled")
+ }
+
+ override protected def doExecute(): RDD[InternalRow] = {
+ val inputRDD = child.execute().map(_.copy())
+ val bufferSize = inputRDD.conf.getInt("spark.buffer.size", 65536)
+ val reuseWorker =
inputRDD.conf.getBoolean("spark.python.worker.reuse", defaultValue = true)
+ val childIsPickled = isPickled(child.schema)
+ val outputIsPickled = isPickled(schema)
+
+ inputRDD.mapPartitions { iter =>
+ val inputIterator = if (childIsPickled) {
+ iter.map(_.getBinary(0))
+ } else {
+ EvaluatePython.registerPicklers() // register pickler for Row
+
+ val pickle = new Pickler
+
+ // Input iterator to Python: input rows are grouped so we send
them in batches to Python.
+ // For each row, add it to the queue.
+ iter.grouped(100).map { inputRows =>
+ val toBePickled = inputRows.map { row =>
+ EvaluatePython.toJava(row, child.schema)
+ }.toArray
+ pickle.dumps(toBePickled)
+ }
+ }
+
+ val context = TaskContext.get()
+
+ // Output iterator for results from Python.
+ val outputIterator =
+ new PythonRunner(
+ func.command,
+ func.envVars,
+ func.pythonIncludes,
+ func.pythonExec,
+ func.pythonVer,
+ func.broadcastVars,
+ func.accumulator,
+ bufferSize,
+ reuseWorker
+ ).compute(inputIterator, context.partitionId(), context)
+
+ if (outputIsPickled) {
+ outputIterator.map(bytes => InternalRow(bytes))
--- End diff --
Oh sorry, I missed the unsafe projection at the very last. Then we can
probably add an unsafe projection here too.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
