Remove references to unsupported Hadoop versions
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@ -48,7 +48,7 @@ Hadoop, you must build Spark against the same version that your cluster runs.
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You can change the version by setting the `SPARK_HADOOP_VERSION` environment
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when building Spark.
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For Apache Hadoop versions 1.x, 0.20.x, Cloudera CDH MRv1, and other Hadoop
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For Apache Hadoop versions 1.x, Cloudera CDH MRv1, and other Hadoop
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versions without YARN, use:
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# Apache Hadoop 1.2.1
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@ -12,7 +12,7 @@ Building Spark using Maven Requires Maven 3 (the build process is tested with Ma
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To enable support for HDFS and other Hadoop-supported storage systems, specify the exact Hadoop version by setting the "hadoop.version" property. If unset, Spark will build against Hadoop 1.0.4 by default.
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For Apache Hadoop versions 1.x, 0.20.x, Cloudera CDH MRv1, and other Hadoop versions without YARN, use:
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For Apache Hadoop versions 1.x, Cloudera CDH MRv1, and other Hadoop versions without YARN, use:
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# Apache Hadoop 1.2.1
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$ mvn -Dhadoop.version=1.2.1 clean install
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@ -24,10 +24,9 @@ import AssemblyKeys._
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//import com.jsuereth.pgp.sbtplugin.PgpKeys._
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object SparkBuild extends Build {
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// Hadoop version to build against. For example, "0.20.2", "0.20.205.0", or
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// "1.0.4" for Apache releases, or "0.20.2-cdh3u5" for Cloudera Hadoop.
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// Note that these variables can be set through the environment variables
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// SPARK_HADOOP_VERSION and SPARK_WITH_YARN.
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// Hadoop version to build against. For example, "1.0.4" for Apache releases, or
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// "2.0.0-mr1-cdh4.2.0" for Cloudera Hadoop. Note that these variables can be set
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// through the environment variables SPARK_HADOOP_VERSION and SPARK_WITH_YARN.
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val DEFAULT_HADOOP_VERSION = "1.0.4"
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val DEFAULT_WITH_YARN = false
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