Merge pull request #565 from pwendell/dev-scripts. Closes #565.

SPARK-1066: Add developer scripts to repository.

These are some developer scripts I've been maintaining in a separate public repo. This patch adds them to the Spark repository so they can evolve here and are clearly accessible to all committers.

I may do some small additional clean-up in this PR, but wanted to put them here in case others want to review. There are a few types of scripts here:

1. A tool to merge pull requests.
2. A script for packaging releases.
3. A script for auditing release candidates.

Author: Patrick Wendell <pwendell@gmail.com>

== Merge branch commits ==

commit 5d5d331d01f6fd59c2eb830f652955119b012173
Author: Patrick Wendell <pwendell@gmail.com>
Date:   Sat Feb 8 22:11:47 2014 -0800

    SPARK-1066: Add developer scripts to repository.

1 files changed, 36 insertions, 0 deletions

diff --git a/dev/audit-release/sbt_app_core/src/main/scala/SparkApp.scala b/dev/audit-release/sbt_app_core/src/main/scala/SparkApp.scala
new file mode 100644
index 0000000000..d49de8b73a
--- /dev/null
+++ b/dev/audit-release/sbt_app_core/src/main/scala/SparkApp.scala
@@ -0,0 +1,36 @@
+/*
+ * 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 main.scala
+
+import org.apache.spark.SparkContext
+import org.apache.spark.SparkContext._
+
+object SimpleApp {
+  def main(args: Array[String]) {
+    val logFile = "input.txt"
+    val sc = new SparkContext("local", "Simple App")
+    val logData = sc.textFile(logFile, 2).cache()
+    val numAs = logData.filter(line => line.contains("a")).count()
+    val numBs = logData.filter(line => line.contains("b")).count()
+    if (numAs != 2 || numBs != 2) {
+      println("Failed to parse log files with Spark")
+      System.exit(-1)
+    }
+    println("Test succeeded")
+  }
+}