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Ali Ghodsi 2013-12-06 16:54:06 -08:00
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docs/cluster-overview.md
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@ -45,7 +45,7 @@ The system currently supports three cluster managers:
easy to set up a cluster. easy to set up a cluster.
* [Apache Mesos](running-on-mesos.html) -- a general cluster manager that can also run Hadoop MapReduce * [Apache Mesos](running-on-mesos.html) -- a general cluster manager that can also run Hadoop MapReduce
and service applications. and service applications.
* [Hadoop YARN](running-on-yarn.html) -- the resource manager in Hadoop 2.0. * [Hadoop YARN](running-on-yarn.html) -- the resource manager in Hadoop 2.
In addition, Spark's [EC2 launch scripts](ec2-scripts.html) make it easy to launch a standalone In addition, Spark's [EC2 launch scripts](ec2-scripts.html) make it easy to launch a standalone
cluster on Amazon EC2. cluster on Amazon EC2.

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docs/index.md
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@ -63,7 +63,9 @@ In addition, if you wish to run Spark on [YARN](running-on-yarn.md), set
SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
(Note that on Windows, you need to set the environment variables on separate lines, e.g., `set SPARK_HADOOP_VERSION=1.2.1`.) Note that on Windows, you need to set the environment variables on separate lines, e.g., `set SPARK_HADOOP_VERSION=1.2.1`.
For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have to build Spark and publish it locally. See [Launching Spark on YARN](running-on-yarn.md). This is needed because Hadoop 2.2 has non backwards compatible API changes.
# Where to Go from Here # Where to Go from Here

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docs/running-on-yarn.md
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@ -114,7 +114,7 @@ For example:
# Building Spark for Hadoop/YARN 2.2.x # Building Spark for Hadoop/YARN 2.2.x
Hadoop 2.2.x users must build Spark and publish it locally. The SBT build process handles Hadoop 2.2.x as a special case. This version of Hadoop has new YARN API changes and depends on a Protobuf version (2.5) that is not compatible with the Akka version (2.0.5) that Spark uses. Therefore, if the Hadoop version (e.g. set through ```SPARK_HADOOP_VERSION```) starts with 2.2.0 or higher then the build process will depend on Akka artifacts distributed by the Spark project compatible with Protobuf 2.5. Furthermore, the build process then uses the directory ```new-yarn``` (stead of ```yarn```), which supports the new YARN API. The build process should seamlessly work out of the box. Hadoop 2.2.x users must build Spark and publish it locally. The SBT build process handles Hadoop 2.2.x as a special case. This version of Hadoop has new YARN API changes and depends on a Protobuf version (2.5) that is not compatible with the Akka version (2.0.5) that Spark uses. Therefore, if the Hadoop version (e.g. set through ```SPARK_HADOOP_VERSION```) starts with 2.2.0 or higher then the build process will depend on Akka artifacts distributed by the Spark project compatible with Protobuf 2.5. Furthermore, the build process then uses the directory ```new-yarn``` (instead of ```yarn```), which supports the new YARN API. The build process should seamlessly work out of the box.
See [Building Spark with Maven](building-with-maven.md) for instructions on how to build Spark using the Maven process. See [Building Spark with Maven](building-with-maven.md) for instructions on how to build Spark using the Maven process.