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authorKay Ousterhout <kayousterhout@gmail.com>2013-12-20 14:39:03 -0800
committerKay Ousterhout <kayousterhout@gmail.com>2013-12-20 14:39:30 -0800
commitc06945cfe0717006ae0d44da797a4fbb1a48954d (patch)
tree9eddb7d47b5829bdb2f117b5676ecc18b11328c7 /README.md
parent9228ec847e841a17c7dff7e75bc2e06bea799ea4 (diff)
parent0bc57c576792ba800eca0ec196c92a4d29cb3953 (diff)
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Merge remote branch 'upstream/master' into consolidate_schedulers
Conflicts: core/src/main/scala/org/apache/spark/scheduler/cluster/ClusterTaskSetManager.scala core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala
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diff --git a/README.md b/README.md
index 8c7853ea3d..1550a8b551 100644
--- a/README.md
+++ b/README.md
@@ -12,9 +12,8 @@ This README file only contains basic setup instructions.
## Building
-Spark requires Scala 2.9.3 (Scala 2.10 is not yet supported). The project is
-built using Simple Build Tool (SBT), which is packaged with it. To build
-Spark and its example programs, run:
+Spark requires Scala 2.10. The project is built using Simple Build Tool (SBT),
+which is packaged with it. To build Spark and its example programs, run:
sbt/sbt assembly
@@ -55,7 +54,7 @@ versions without YARN, use:
# Cloudera CDH 4.2.0 with MapReduce v1
$ SPARK_HADOOP_VERSION=2.0.0-mr1-cdh4.2.0 sbt/sbt assembly
-For Apache Hadoop 2.0.X, 2.1.X, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions
+For Apache Hadoop 2.2.X, 2.1.X, 2.0.X, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions
with YARN, also set `SPARK_YARN=true`:
# Apache Hadoop 2.0.5-alpha
@@ -64,13 +63,8 @@ with YARN, also set `SPARK_YARN=true`:
# Cloudera CDH 4.2.0 with MapReduce v2
$ SPARK_HADOOP_VERSION=2.0.0-cdh4.2.0 SPARK_YARN=true sbt/sbt assembly
-When building for Hadoop 2.2.X and newer, you'll need to include the additional `new-yarn` profile:
-
# Apache Hadoop 2.2.X and newer
- $ mvn -Dyarn.version=2.2.0 -Dhadoop.version=2.2.0 -Pnew-yarn
-
-For convenience, these variables may also be set through the `conf/spark-env.sh` file
-described below.
+ $ SPARK_HADOOP_VERSION=2.2.0 SPARK_YARN=true sbt/sbt assembly
When developing a Spark application, specify the Hadoop version by adding the
"hadoop-client" artifact to your project's dependencies. For example, if you're