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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 13 |
1 files changed, 6 insertions, 7 deletions
@@ -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.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 @@ -64,12 +63,12 @@ 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 -For convenience, these variables may also be set through the `conf/spark-env.sh` file -described below. + # Apache Hadoop 2.2.X and newer + $ 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 -using Hadoop 1.0.1 and build your application using SBT, add this entry to +using Hadoop 1.2.1 and build your application using SBT, add this entry to `libraryDependencies`: "org.apache.hadoop" % "hadoop-client" % "1.2.1" |