[SPARK-5441][pyspark] Make SerDeUtil PairRDD to Python conversions more robust

SerDeUtil.pairRDDToPython and SerDeUtil.pythonToPairRDD now both support empty RDDs by checking the result of take(1) instead of calling first which throws an exception.

Author: Michael Nazario <mnazario@palantir.com>

Closes #4236 from mnazario/feature/empty-first and squashes the following commits:

a531c0c [Michael Nazario] Added regression tests for SPARK-5441
e3b2fb6 [Michael Nazario] Added acceptance of the empty case

2 files changed, 47 insertions, 4 deletions

diff --git a/core/src/main/scala/org/apache/spark/api/python/SerDeUtil.scala b/core/src/main/scala/org/apache/spark/api/python/SerDeUtil.scala
index 19ca2bb613..fb52a960e0 100644
--- a/core/src/main/scala/org/apache/spark/api/python/SerDeUtil.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/SerDeUtil.scala
@@ -202,7 +202,10 @@ private[spark] object SerDeUtil extends Logging {
    * representation is serialized
    */
   def pairRDDToPython(rdd: RDD[(Any, Any)], batchSize: Int): RDD[Array[Byte]] = {
-    val (keyFailed, valueFailed) = checkPickle(rdd.first())
+    val (keyFailed, valueFailed) = rdd.take(1) match {
+      case Array() => (false, false)
+      case Array(first) => checkPickle(first)
+    }
 
     rdd.mapPartitions { iter =>
       val cleaned = iter.map { case (k, v) =>
@@ -229,10 +232,12 @@ private[spark] object SerDeUtil extends Logging {
     }
 
     val rdd = pythonToJava(pyRDD, batched).rdd
-    rdd.first match {
-      case obj if isPair(obj) =>
+    rdd.take(1) match {
+      case Array(obj) if isPair(obj) =>
         // we only accept (K, V)
-      case other => throw new SparkException(
+      case Array() =>
+        // we also accept empty collections
+      case Array(other) => throw new SparkException(
         s"RDD element of type ${other.getClass.getName} cannot be used")
     }
     rdd.map { obj =>
diff --git a/core/src/test/scala/org/apache/spark/api/python/SerDeUtilSuite.scala b/core/src/test/scala/org/apache/spark/api/python/SerDeUtilSuite.scala
new file mode 100644
index 0000000000..f8c3932614
--- /dev/null
+++ b/core/src/test/scala/org/apache/spark/api/python/SerDeUtilSuite.scala
@@ -0,0 +1,38 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.api.python
+
+import org.scalatest.FunSuite
+
+import org.apache.spark.SharedSparkContext
+
+class SerDeUtilSuite extends FunSuite with SharedSparkContext {
+
+  test("Converting an empty pair RDD to python does not throw an exception (SPARK-5441)") {
+    val emptyRdd = sc.makeRDD(Seq[(Any, Any)]())
+    SerDeUtil.pairRDDToPython(emptyRdd, 10)
+  }
+
+  test("Converting an empty python RDD to pair RDD does not throw an exception (SPARK-5441)") {
+    val emptyRdd = sc.makeRDD(Seq[(Any, Any)]())
+    val javaRdd = emptyRdd.toJavaRDD()
+    val pythonRdd = SerDeUtil.javaToPython(javaRdd)
+    SerDeUtil.pythonToPairRDD(pythonRdd, false)
+  }
+}
+