diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala
index fd623370cc407..28792db7686b5 100644
--- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala
+++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/ScriptTransformation.scala
@@ -18,6 +18,7 @@
 package org.apache.spark.sql.hive.execution
 
 import java.io.{BufferedReader, DataInputStream, DataOutputStream, EOFException, InputStreamReader}
+import java.lang.ProcessBuilder.Redirect
 import java.util.Properties
 
 import scala.collection.JavaConversions._
@@ -58,6 +59,12 @@ case class ScriptTransformation(
     child.execute().mapPartitions { iter =>
       val cmd = List("/bin/bash", "-c", script)
       val builder = new ProcessBuilder(cmd)
+      // redirectError(Redirect.INHERIT) would consume the error output from buffer and
+      // then print it to stderr (inherit the target from the current Scala process).
+      // If without this there would be 2 issues:
+      // 1) The error msg generated by the script process would be hidden.
+      // 2) If the error msg is too big to chock up the buffer, the input logic would be hung
+      builder.redirectError(Redirect.INHERIT)
       val proc = builder.start()
       val inputStream = proc.getInputStream
       val outputStream = proc.getOutputStream
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
index 8bd4900497c4f..c8e5e246322df 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
@@ -645,12 +645,20 @@ class SQLQuerySuite extends QueryTest {
       .queryExecution.analyzed
   }
 
-  test("test script transform") {
+  test("test script transform for stdout") {
     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())
+        .queryExecution.toRdd.count())
+  }
+
+  test("test script transform for stderr") {
+    val data = (1 to 100000).map { i => (i, i, i) }
+    data.toDF("d1", "d2", "d3").registerTempTable("script_trans")
+    assert(0 ===
+      sql("SELECT TRANSFORM (d1, d2, d3) USING 'cat 1>&2' AS (a,b,c) FROM script_trans")
+        .queryExecution.toRdd.count())
   }
 
   test("window function: udaf with aggregate expressin") {