[SPARK-7044][SQL] Fix the deadlock in ScriptTransform(for Spark 1.3)

sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala

@@ -146,20 +146,29 @@ case class ScriptTransformation(
       val dataOutputStream = new DataOutputStream(outputStream)
       val outputProjection = new InterpretedProjection(input, child.output)
 
-      iter
-        .map(outputProjection)
-        .foreach { row =>
-          if (inputSerde == null) {
-            val data = row.mkString("", ioschema.inputRowFormatMap("TOK_TABLEROWFORMATFIELD"),
-            ioschema.inputRowFormatMap("TOK_TABLEROWFORMATLINES")).getBytes("utf-8")
-
-            outputStream.write(data)
-          } else {
-            val writable = inputSerde.serialize(row.asInstanceOf[GenericRow].values, inputSoi)
-            prepareWritable(writable).write(dataOutputStream)
+      // Put the write(output to the pipeline) into a single thread
+      // and keep the collector as remain in the main thread.
+      // otherwise it will causes deadlock if the data size greater than
+      // the pipeline / buffer capacity.
+      new Thread(new Runnable() {
+        override def run(): Unit = {
+          iter
+            .map(outputProjection)
+            .foreach { row =>
+            if (inputSerde == null) {
+              val data = row.mkString("", ioschema.inputRowFormatMap("TOK_TABLEROWFORMATFIELD"),
+                ioschema.inputRowFormatMap("TOK_TABLEROWFORMATLINES")).getBytes("utf-8")
+
+              outputStream.write(data)
+            } else {
+              val writable = inputSerde.serialize(row.asInstanceOf[GenericRow].values, inputSoi)
+              prepareWritable(writable).write(dataOutputStream)
+            }
           }
+          outputStream.close()
         }
-      outputStream.close()
+      }).start()
+
       iterator
     }
   }

sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala

@@ -538,4 +538,12 @@ class SQLQuerySuite extends QueryTest {
       sql(s"DROP TABLE $tableName")
     }
   }
+
+  test("test script transform") {
+    val data = (1 to 100000).map { i => (i, i, i) }
+    data.toDF("d1", "d2", "d3").registerTempTable("script_trans")
+    assert(100000 ===
+      sql("SELECT TRANSFORM (d1, d2, d3) USING 'cat' AS (a,b,c) FROM script_trans")
+      .queryExecution.toRdd.count())
+  }
 }