Github user mateiz commented on a diff in the pull request:

    https://github.com/apache/spark/pull/455#discussion_r13148302
  
    --- Diff: core/src/main/scala/org/apache/spark/api/python/SerDeUtil.scala 
---
    @@ -0,0 +1,89 @@
    +/*
    + * 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 scala.util.Try
    +import org.apache.spark.rdd.RDD
    +import org.apache.spark.Logging
    +import scala.util.Success
    +import scala.util.Failure
    +import net.razorvine.pickle.Pickler
    +
    +/**
    + * Utilities for serialization / deserialization between Python and Java, 
using MsgPack.
    + * Also contains utilities for converting 
[[org.apache.hadoop.io.Writable]] ->
    + * Scala objects and primitives
    + */
    +private[python] object SerDeUtil extends Logging {
    +
    +  /**
    +   * Convert an RDD of key-value pairs to an RDD of serialized Python 
objects, that is usable
    +   * by PySpark. By default, if serialization fails, toString is called 
and the string
    +   * representation is serialized
    +   */
    +  def rddToPython[K, V](rdd: RDD[(K, V)]): RDD[Array[Byte]] = {
    +    rdd.mapPartitions{ iter =>
    +      val pickle = new Pickler
    +      var keyFailed = false
    +      var valueFailed = false
    +      var firstRecord = true
    +      iter.map{ case (k, v) =>
    +        if (firstRecord) {
    +          Try {
    +            pickle.dumps(Array(k, v))
    +          } match {
    +            case Success(b) =>
    +            case Failure(err) =>
    +              val kt = Try {
    +                pickle.dumps(k)
    +              }
    +              val vt = Try {
    +                pickle.dumps(v)
    +              }
    +              (kt, vt) match {
    +                case (Failure(kf), Failure(vf)) =>
    +                  log.warn(s"""Failed to pickle Java object as key: 
${k.getClass.getSimpleName};
    --- End diff --
    
    You can use `logWarning` instead.


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