[SPARK-5277][SQL] - SparkSqlSerializer doesn't always register user specified KryoRegistrators

[SPARK-5277][SQL] - SparkSqlSerializer doesn't always register user specified KryoRegistrators

There were a few places where new SparkSqlSerializer instances were created with new, empty SparkConfs resulting in user specified registrators sometimes not getting initialized.

The fix is to try and pull a conf from the SparkEnv, and construct a new conf (that loads defaults) if one cannot be found.

The changes touched:
    1) SparkSqlSerializer's resource pool (this appears to fix the issue in the comment)
    2) execution.Exchange (for all of the partitioners)
    3) execution.Limit (for the HashPartitioner)

A few tests were added to ColumnTypeSuite, ensuring that a custom registrator and serde is initialized and used when in-memory columns are written.

Author: Max Seiden <[email protected]>

This patch had conflicts when merged, resolved by
Committer: Michael Armbrust <[email protected]>

Closes #5237 from mhseiden/sql_udt_kryo and squashes the following commits:

3175c2f [Max Seiden] [SPARK-5277][SQL] - address code review comments
e5011fb [Max Seiden] [SPARK-5277][SQL] - SparkSqlSerializer does not register user specified KryoRegistrators

Author: Max Seiden

sql/core/src/main/scala/org/apache/spark/sql/execution/Exchange.scala

@@ -78,6 +78,8 @@ case class Exchange(
   }
 
   override def execute(): RDD[Row] = attachTree(this , "execute") {
+    lazy val sparkConf = child.sqlContext.sparkContext.getConf
+
     newPartitioning match {
       case HashPartitioning(expressions, numPartitions) =>
         // TODO: Eliminate redundant expressions in grouping key and value.
@@ -109,7 +111,7 @@ case class Exchange(
           } else {
             new ShuffledRDD[Row, Row, Row](rdd, part)
           }
-        shuffled.setSerializer(new SparkSqlSerializer(new SparkConf(false)))
+        shuffled.setSerializer(new SparkSqlSerializer(sparkConf))
         shuffled.map(_._2)
 
       case RangePartitioning(sortingExpressions, numPartitions) =>
@@ -132,8 +134,7 @@ case class Exchange(
           } else {
             new ShuffledRDD[Row, Null, Null](rdd, part)
           }
-        shuffled.setSerializer(new SparkSqlSerializer(new SparkConf(false)))
-
+        shuffled.setSerializer(new SparkSqlSerializer(sparkConf))
         shuffled.map(_._1)
 
       case SinglePartition =>
@@ -151,7 +152,7 @@ case class Exchange(
         }
         val partitioner = new HashPartitioner(1)
         val shuffled = new ShuffledRDD[Null, Row, Row](rdd, partitioner)
-        shuffled.setSerializer(new SparkSqlSerializer(new SparkConf(false)))
+        shuffled.setSerializer(new SparkSqlSerializer(sparkConf))
         shuffled.map(_._2)
 
       case _ => sys.error(s"Exchange not implemented for $newPartitioning")

sql/core/src/main/scala/org/apache/spark/sql/execution/SparkSqlSerializer.scala

@@ -65,12 +65,9 @@ private[sql] class SparkSqlSerializer(conf: SparkConf) extends KryoSerializer(co
 private[execution] class KryoResourcePool(size: Int)
     extends ResourcePool[SerializerInstance](size) {
 
-  val ser: KryoSerializer = {
+  val ser: SparkSqlSerializer = {
     val sparkConf = Option(SparkEnv.get).map(_.conf).getOrElse(new SparkConf())
-    // TODO (lian) Using KryoSerializer here is workaround, needs further investigation
-    // Using SparkSqlSerializer here makes BasicQuerySuite to fail because of Kryo serialization
-    // related error.
-    new KryoSerializer(sparkConf)
+    new SparkSqlSerializer(sparkConf)
   }
 
   def newInstance(): SerializerInstance = ser.newInstance()

sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala

@@ -121,7 +121,7 @@ case class Limit(limit: Int, child: SparkPlan)
     }
     val part = new HashPartitioner(1)
     val shuffled = new ShuffledRDD[Boolean, Row, Row](rdd, part)
-    shuffled.setSerializer(new SparkSqlSerializer(new SparkConf(false)))
+    shuffled.setSerializer(new SparkSqlSerializer(child.sqlContext.sparkContext.getConf))
     shuffled.mapPartitions(_.take(limit).map(_._2))
   }
 }

sql/core/src/test/scala/org/apache/spark/sql/columnar/ColumnTypeSuite.scala

@@ -20,9 +20,12 @@ package org.apache.spark.sql.columnar
 import java.nio.ByteBuffer
 import java.sql.Timestamp
 
+import com.esotericsoftware.kryo.{Serializer, Kryo}
+import com.esotericsoftware.kryo.io.{Input, Output}
+import org.apache.spark.serializer.KryoRegistrator
 import org.scalatest.FunSuite
 
-import org.apache.spark.Logging
+import org.apache.spark.{SparkConf, Logging}
 import org.apache.spark.sql.catalyst.expressions.GenericMutableRow
 import org.apache.spark.sql.columnar.ColumnarTestUtils._
 import org.apache.spark.sql.execution.SparkSqlSerializer
@@ -73,7 +76,7 @@ class ColumnTypeSuite extends FunSuite with Logging {
     checkActualSize(BINARY,  binary, 4 + 4)
 
     val generic = Map(1 -> "a")
-    checkActualSize(GENERIC, SparkSqlSerializer.serialize(generic), 4 + 11)
+    checkActualSize(GENERIC, SparkSqlSerializer.serialize(generic), 4 + 8)
   }
 
   testNativeColumnType[BooleanType.type](
@@ -158,6 +161,41 @@ class ColumnTypeSuite extends FunSuite with Logging {
     }
   }
 
+  test("CUSTOM") {
+    val conf = new SparkConf()
+    conf.set("spark.kryo.registrator", "org.apache.spark.sql.columnar.Registrator")
+    val serializer = new SparkSqlSerializer(conf).newInstance()
+
+    val buffer = ByteBuffer.allocate(512)
+    val obj = CustomClass(Int.MaxValue,Long.MaxValue)
+    val serializedObj = serializer.serialize(obj).array()
+
+    GENERIC.append(serializer.serialize(obj).array(), buffer)
+    buffer.rewind()
+
+    val length = buffer.getInt
+    assert(length === serializedObj.length)
+    assert(13 == length) // id (1) + int (4) + long (8)
+
+    val genericSerializedObj = SparkSqlSerializer.serialize(obj)
+    assert(length != genericSerializedObj.length)
+    assert(length < genericSerializedObj.length)
+
+    assertResult(obj, "Custom deserialized object didn't equal the original object") {
+      val bytes = new Array[Byte](length)
+      buffer.get(bytes, 0, length)
+      serializer.deserialize(ByteBuffer.wrap(bytes))
+    }
+
+    buffer.rewind()
+    buffer.putInt(serializedObj.length).put(serializedObj)
+
+    assertResult(obj, "Custom deserialized object didn't equal the original object") {
+      buffer.rewind()
+      serializer.deserialize(ByteBuffer.wrap(GENERIC.extract(buffer)))
+    }
+  }
+
   def testNativeColumnType[T <: NativeType](
       columnType: NativeColumnType[T],
       putter: (ByteBuffer, T#JvmType) => Unit,
@@ -229,3 +267,23 @@ class ColumnTypeSuite extends FunSuite with Logging {
     }
   }
 }
+
+private[columnar] final case class CustomClass(a: Int, b: Long)
+
+private[columnar] object CustomerSerializer extends Serializer[CustomClass] {
+  override def write(kryo: Kryo, output: Output, t: CustomClass) {
+    output.writeInt(t.a)
+    output.writeLong(t.b)
+  }
+  override def read(kryo: Kryo, input: Input, aClass: Class[CustomClass]): CustomClass = {
+    val a = input.readInt()
+    val b = input.readLong()
+    CustomClass(a,b)
+  }
+}
+
+private[columnar] final class Registrator extends KryoRegistrator {
+  override def registerClasses(kryo: Kryo) {
+    kryo.register(classOf[CustomClass], CustomerSerializer)
+  }
+}