diff options
| -rw-r--r-- | core/pom.xml | 6 | ||||
| -rw-r--r-- | docs/building-with-maven.md | 51 | ||||
| -rw-r--r-- | pom.xml | 84 | ||||
| -rw-r--r-- | project/SparkBuild.scala | 5 |
4 files changed, 94 insertions, 52 deletions
diff --git a/core/pom.xml b/core/pom.xml index 36c71e67b5..c24c7be204 100644 --- a/core/pom.xml +++ b/core/pom.xml @@ -38,12 +38,6 @@ <dependency> <groupId>net.java.dev.jets3t</groupId> <artifactId>jets3t</artifactId> - <exclusions> - <exclusion> - <groupId>commons-logging</groupId> - <artifactId>commons-logging</artifactId> - </exclusion> - </exclusions> </dependency> <dependency> <groupId>org.apache.curator</groupId> diff --git a/docs/building-with-maven.md b/docs/building-with-maven.md index e447dfea3b..cac01ded60 100644 --- a/docs/building-with-maven.md +++ b/docs/building-with-maven.md @@ -29,9 +29,22 @@ You can fix this by setting the `MAVEN_OPTS` variable as discussed before. ## Specifying the Hadoop version ## -Because HDFS is not protocol-compatible across versions, if you want to read from HDFS, you'll need to build Spark against the specific HDFS version in your environment. You can do this through the "hadoop.version" property. If unset, Spark will build against Hadoop 1.0.4 by default. - -For Apache Hadoop versions 1.x, Cloudera CDH MRv1, and other Hadoop versions without YARN, use: +Because HDFS is not protocol-compatible across versions, if you want to read from HDFS, you'll need to build Spark against the specific HDFS version in your environment. You can do this through the "hadoop.version" property. If unset, Spark will build against Hadoop 1.0.4 by default. Note that certain build profiles are required for particular Hadoop versions: + +<table class="table"> + <thead> + <tr><th>Hadoop version</th><th>Profile required</th></tr> + </thead> + <tbody> + <tr><td>0.23.x</td><td>hadoop-0.23</td></tr> + <tr><td>1.x to 2.1.x</td><td>(none)</td></tr> + <tr><td>2.2.x</td><td>hadoop-2.2</td></tr> + <tr><td>2.3.x</td><td>hadoop-2.3</td></tr> + <tr><td>2.4.x</td><td>hadoop-2.4</td></tr> + </tbody> +</table> + +For Apache Hadoop versions 1.x, Cloudera CDH "mr1" distributions, and other Hadoop versions without YARN, use: # Apache Hadoop 1.2.1 $ mvn -Dhadoop.version=1.2.1 -DskipTests clean package @@ -42,22 +55,40 @@ For Apache Hadoop versions 1.x, Cloudera CDH MRv1, and other Hadoop versions wit # Apache Hadoop 0.23.x $ mvn -Phadoop-0.23 -Dhadoop.version=0.23.7 -DskipTests clean package -For Apache Hadoop 2.x, 0.23.x, Cloudera CDH MRv2, and other Hadoop versions with YARN, you can enable the "yarn-alpha" or "yarn" profile and set the "hadoop.version", "yarn.version" property. Note that Hadoop 0.23.X requires a special `-Phadoop-0.23` profile: +For Apache Hadoop 2.x, 0.23.x, Cloudera CDH, and other Hadoop versions with YARN, you can enable the "yarn-alpha" or "yarn" profile and optionally set the "yarn.version" property if it is different from "hadoop.version". The additional build profile required depends on the YARN version: + +<table class="table"> + <thead> + <tr><th>YARN version</th><th>Profile required</th></tr> + </thead> + <tbody> + <tr><td>0.23.x to 2.1.x</td><td>yarn-alpha</td></tr> + <tr><td>2.2.x and later</td><td>yarn</td></tr> + </tbody> +</table> + +Examples: # Apache Hadoop 2.0.5-alpha $ mvn -Pyarn-alpha -Dhadoop.version=2.0.5-alpha -DskipTests clean package - # Cloudera CDH 4.2.0 with MapReduce v2 + # Cloudera CDH 4.2.0 $ mvn -Pyarn-alpha -Dhadoop.version=2.0.0-cdh4.2.0 -DskipTests clean package - # Apache Hadoop 2.2.X (e.g. 2.2.0 as below) and newer - $ mvn -Pyarn -Dhadoop.version=2.2.0 -DskipTests clean package - # Apache Hadoop 0.23.x - $ mvn -Pyarn-alpha -Phadoop-0.23 -Dhadoop.version=0.23.7 -Dyarn.version=0.23.7 -DskipTests clean package + $ mvn -Pyarn-alpha -Phadoop-0.23 -Dhadoop.version=0.23.7 -DskipTests clean package + + # Apache Hadoop 2.2.X + $ mvn -Pyarn -Phadoop-2.2 -Dhadoop.version=2.2.0 -DskipTests clean package + + # Apache Hadoop 2.3.X + $ mvn -Pyarn -Phadoop-2.3 -Dhadoop.version=2.3.0 -DskipTests clean package + + # Apache Hadoop 2.4.X + $ mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -DskipTests clean package # Different versions of HDFS and YARN. - $ mvn -Pyarn-alpha -Dhadoop.version=2.3.0 -Dyarn.version=0.23.7 -DskipTests clean package + $ mvn -Pyarn-alpha -Phadoop-2.3 -Dhadoop.version=2.3.0 -Dyarn.version=0.23.7 -DskipTests clean package ## Spark Tests in Maven ## @@ -129,6 +129,7 @@ <chill.version>0.3.6</chill.version> <codahale.metrics.version>3.0.0</codahale.metrics.version> <avro.version>1.7.4</avro.version> + <jets3t.version>0.7.1</jets3t.version> <PermGen>64m</PermGen> <MaxPermGen>512m</MaxPermGen> @@ -560,10 +561,18 @@ </exclusion> </exclusions> </dependency> + <!-- See SPARK-1556 for info on this dependency: --> <dependency> <groupId>net.java.dev.jets3t</groupId> <artifactId>jets3t</artifactId> - <version>0.7.1</version> + <version>${jets3t.version}</version> + <scope>runtime</scope> + <exclusions> + <exclusion> + <groupId>commons-logging</groupId> + <artifactId>commons-logging</artifactId> + </exclusion> + </exclusions> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> @@ -843,36 +852,6 @@ </build> <profiles> - <!-- SPARK-1121: Adds an explicit dependency on Avro to work around a Hadoop 0.23.X issue --> - <profile> - <id>hadoop-0.23</id> - <dependencies> - <dependency> - <groupId>org.apache.avro</groupId> - <artifactId>avro</artifactId> - </dependency> - </dependencies> - </profile> - - <profile> - <id>yarn-alpha</id> - <properties> - <hadoop.major.version>2</hadoop.major.version> - <!-- 0.23.* is same as 2.0.* - except hardened to run production jobs --> - <hadoop.version>0.23.7</hadoop.version> - <!--<hadoop.version>2.0.5-alpha</hadoop.version> --> - </properties> - <dependencies> - <dependency> - <groupId>org.apache.avro</groupId> - <artifactId>avro</artifactId> - </dependency> - </dependencies> - <modules> - <module>yarn</module> - </modules> - - </profile> <!-- Ganglia integration is not included by default due to LGPL-licensed code --> <profile> @@ -907,17 +886,54 @@ </profile> + <!-- A series of build profiles where customizations for particular Hadoop releases can be made --> + <profile> - <id>yarn</id> + <id>hadoop-0.23</id> + <!-- SPARK-1121: Adds an explicit dependency on Avro to work around a Hadoop 0.23.X issue --> + <dependencies> + <dependency> + <groupId>org.apache.avro</groupId> + <artifactId>avro</artifactId> + </dependency> + </dependencies> + </profile> + + <profile> + <id>hadoop-2.2</id> + <properties> + <protobuf.version>2.5.0</protobuf.version> + </properties> + </profile> + + <profile> + <id>hadoop-2.3</id> <properties> - <hadoop.major.version>2</hadoop.major.version> - <hadoop.version>2.2.0</hadoop.version> <protobuf.version>2.5.0</protobuf.version> + <jets3t.version>0.9.0</jets3t.version> </properties> + </profile> + + <profile> + <id>hadoop-2.4</id> + <properties> + <protobuf.version>2.5.0</protobuf.version> + <jets3t.version>0.9.0</jets3t.version> + </properties> + </profile> + + <profile> + <id>yarn-alpha</id> <modules> <module>yarn</module> </modules> + </profile> + <profile> + <id>yarn</id> + <modules> + <module>yarn</module> + </modules> </profile> <!-- Build without Hadoop dependencies that are included in some runtime environments. --> diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala index 19aa3c0607..a2597e3e6d 100644 --- a/project/SparkBuild.scala +++ b/project/SparkBuild.scala @@ -95,7 +95,7 @@ object SparkBuild extends Build { lazy val hadoopVersion = Properties.envOrElse("SPARK_HADOOP_VERSION", DEFAULT_HADOOP_VERSION) lazy val isNewHadoop = Properties.envOrNone("SPARK_IS_NEW_HADOOP") match { case None => { - val isNewHadoopVersion = "2.[2-9]+".r.findFirstIn(hadoopVersion).isDefined + val isNewHadoopVersion = "^2\\.[2-9]+".r.findFirstIn(hadoopVersion).isDefined (isNewHadoopVersion|| DEFAULT_IS_NEW_HADOOP) } case Some(v) => v.toBoolean @@ -297,6 +297,7 @@ object SparkBuild extends Build { val chillVersion = "0.3.6" val codahaleMetricsVersion = "3.0.0" val jblasVersion = "1.2.3" + val jets3tVersion = if ("^2\\.[3-9]+".r.findFirstIn(hadoopVersion).isDefined) "0.9.0" else "0.7.1" val jettyVersion = "8.1.14.v20131031" val hiveVersion = "0.12.0" val parquetVersion = "1.3.2" @@ -343,7 +344,7 @@ object SparkBuild extends Build { "colt" % "colt" % "1.2.0", "org.apache.mesos" % "mesos" % "0.13.0", "commons-net" % "commons-net" % "2.2", - "net.java.dev.jets3t" % "jets3t" % "0.7.1" excludeAll(excludeCommonsLogging), + "net.java.dev.jets3t" % "jets3t" % jets3tVersion excludeAll(excludeCommonsLogging), "org.apache.derby" % "derby" % "10.4.2.0" % "test", "org.apache.hadoop" % hadoopClient % hadoopVersion excludeAll(excludeNetty, excludeAsm, excludeCommonsLogging, excludeSLF4J, excludeOldAsm), "org.apache.curator" % "curator-recipes" % "2.4.0" excludeAll(excludeNetty), |