merge master

.gitignore

@@ -19,6 +19,7 @@ conf/spark-env.sh
 conf/streaming-env.sh
 conf/log4j.properties
 conf/spark-defaults.conf
+conf/hive-site.xml
 docs/_site
 docs/api
 target/
@@ -50,6 +51,7 @@ unit-tests.log
 rat-results.txt
 scalastyle.txt
 conf/*.conf
+scalastyle-output.xml
 
 # For Hive
 metastore_db/

LICENSE

@@ -442,7 +442,7 @@ Written by Pavel Binko, Dino Ferrero Merlino, Wolfgang Hoschek, Tony Johnson, An
 
 
 ========================================================================
-Fo SnapTree:
+For SnapTree:
 ========================================================================
 
 SNAPTREE LICENSE
@@ -482,6 +482,24 @@ OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
 SUCH DAMAGE.
 
 
+========================================================================
+For Timsort (core/src/main/java/org/apache/spark/util/collection/Sorter.java):
+========================================================================
+Copyright (C) 2008 The Android Open Source Project
+
+Licensed 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.
+
+
 ========================================================================
 BSD-style licenses
 ========================================================================

README.md

@@ -1,6 +1,13 @@
 # Apache Spark
 
-Lightning-Fast Cluster Computing - <http://spark.apache.org/>
+Spark is a fast and general cluster computing system for Big Data. It provides
+high-level APIs in Scala, Java, and Python, and an optimized engine that
+supports general computation graphs for data analysis. It also supports a
+rich set of higher-level tools including Spark SQL for SQL and structured
+data processing, MLLib for machine learning, GraphX for graph processing,
+and Spark Streaming.
+
+<http://spark.apache.org/>
 
 
 ## Online Documentation

assembly/pom.xml

@@ -39,6 +39,7 @@
     <deb.pkg.name>spark</deb.pkg.name>
     <deb.install.path>/usr/share/spark</deb.install.path>
     <deb.user>root</deb.user>
+    <deb.bin.filemode>744</deb.bin.filemode>
   </properties>
 
   <dependencies>
@@ -276,7 +277,7 @@
                         <user>${deb.user}</user>
                         <group>${deb.user}</group>
                         <prefix>${deb.install.path}/bin</prefix>
-                        <filemode>744</filemode>
+                        <filemode>${deb.bin.filemode}</filemode>
                       </mapper>
                     </data>
                     <data>

bagel/src/main/scala/org/apache/spark/bagel/Bagel.scala

@@ -72,6 +72,7 @@ object Bagel extends Logging {
     var verts = vertices
     var msgs = messages
     var noActivity = false
+    var lastRDD: RDD[(K, (V, Array[M]))] = null
     do {
       logInfo("Starting superstep " + superstep + ".")
       val startTime = System.currentTimeMillis
@@ -83,6 +84,10 @@ object Bagel extends Logging {
       val superstep_ = superstep  // Create a read-only copy of superstep for capture in closure
       val (processed, numMsgs, numActiveVerts) =
         comp[K, V, M, C](sc, grouped, compute(_, _, aggregated, superstep_), storageLevel)
+      if (lastRDD != null) {
+        lastRDD.unpersist(false)
+      }
+      lastRDD = processed
 
       val timeTaken = System.currentTimeMillis - startTime
       logInfo("Superstep %d took %d s".format(superstep, timeTaken / 1000))

core/pom.xml

@@ -114,6 +114,10 @@
       <groupId>org.xerial.snappy</groupId>
       <artifactId>snappy-java</artifactId>
     </dependency>
+    <dependency>
+      <groupId>net.jpountz.lz4</groupId>
+      <artifactId>lz4</artifactId>
+    </dependency>
     <dependency>
       <groupId>com.twitter</groupId>
       <artifactId>chill_${scala.binary.version}</artifactId>