To be honest, I started with Cloudera CDH5 distribution, they promised Spark was already added and usage will be simple. But no luck in fact, it doesn't work at all - even on local machine with their spark-cloudera jar. I didn't want to waste my time, so I just downloaded spark distro to HDP2.
First of all, let start Spark in standalone mode, according to documentation:
# start master ./sbin/start-master.sh # pick up in the log output spark://IP:PORT # and than run worker on each node ./bin/spark-class org.apache.spark.deploy.worker.Worker spark://IP:PORT # more documentation available here https://spark.apache.org/docs/0.9.0/spark-standalone.html
After that I wrote some amount of Scala code, in fact to just count hardcoded words in document:
package experiment import org.apache.spark.{SparkConf, SparkContext} object SimpleApp { def main(args: Array[String]) { val logFile = args(0) val conf = new SparkConf() .setMaster("local") .setAppName("My Spark application") .set("spark.executor.memory", "1g") val sc = new SparkContext(conf) // hdfs:///user/hue/input.txt val logData = sc.textFile(logFile, 2).cache() val numAs = logData.filter(line => line.contains("London")).count() val numBs = logData.filter(line =>; line.contains("Lviv")).count() println("Lines with London: %s, Lines with Lviv: %s".format(numAs, numBs)) }
It was the easiest part! After that I spent a couple of hours making correct build with Maven, the result is:
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>SparkBegining</groupId> <artifactId>SparkBegining</artifactId> <packaging>jar</packaging> <version>1.0-SNAPSHOT</version> <properties> <scala.version>2.10.0</scala.version> </properties> <repositories> <repository> <id>Akka repository</id> <url>http://repo.akka.io/releases</url> </repository> <repository> <id>scala</id> <name>Scala Tools</name> <url>http://scala-tools.org/repo-releases/</url> <releases> <enabled>true</enabled> </releases> <snapshots> <enabled>false</enabled> </snapshots> </repository> </repositories> <pluginRepositories> <pluginRepository> <id>scala-tools.org</id> <name>Scala-Tools Maven2 Repository</name> <url>http://scala-tools.org/repo-releases</url> </pluginRepository> </pluginRepositories> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>0.9.0-incubating</version> <exclusions> <exclusion> <artifactId>com.google.protobuf</artifactId> <groupId>protobuf-java</groupId> </exclusion> </exclusions> </dependency> <dependency> <groupId>com.google.protobuf</groupId> <artifactId>protobuf-java</artifactId> <version>2.5.0</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>2.2.0</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.4</version> <scope>test</scope> </dependency> <dependency> <groupId>org.specs</groupId> <artifactId>specs</artifactId> <version>1.2.5</version> <scope>test</scope> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> <configuration> <scalaVersion>${scala.version}</scalaVersion> <args> <arg>-target:jvm-1.5</arg> </args> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-eclipse-plugin</artifactId> <configuration> <downloadSources>true</downloadSources> <buildcommands> <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand> </buildcommands> <additionalProjectnatures> <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature> </additionalProjectnatures> <classpathContainers> <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer> <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer> </classpathContainers> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>1.5</version> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <shadedArtifactAttached>true</shadedArtifactAttached> <artifactSet> <includes> <include>*:*</include> </includes> </artifactSet> <filters> <filter> <artifact>*:*</artifact> <!-- it's required to overcome icorect digest exception --> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> <transformers> <!-- it's required to overcome 'akka.version' exception (and put Akka default configuration) --> <transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer"> <resource>reference.conf</resource> </transformer> <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"> <manifestEntries> <Main-Class>experiment.SimpleApp</Main-Class> </manifestEntries> </transformer> <!-- and it's required to specify handler for 'hdfs' filesystem --> <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/> <transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer"> <resource>META-INF/services/org.apache.hadoop.fs.FileSystem</resource> </transformer> </transformers> </configuration> </execution> </executions> </plugin> </plugins> </build> <reporting> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <configuration> <scalaVersion>${scala.version}</scalaVersion> </configuration> </plugin> </plugins> </reporting> </project>
Perhaps, you mentioned that I excluded protobuf from sprak and added next version. The reason:
I got error
Exception in thread "main" java.lang.VerifyError: class org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$AppendRequestProto overrides final method getUnknownFields.()Lcom/google/protobuf/UnknownFieldSet;at java.lang.ClassLoader.defineClass1(Native Method)
I checked my HDP (find / -name protobug*.jar) and found that my Hadoop uses protobuf 2.5.1 instead of 2.4.1 (it was dependency derived from spark jar! it easy discovered with maven command mvn dependency:tree -Dincludes=*protobuf*)
After that, finally, I was able to run Spark Job! Hurray:
java -jar SparkBegining-1.0-SNAPSHOT-shaded.jar hdfs://10.25.9.155:8020/user/hue/input.txt
Thanks for sharing the setup information, the following line is not compiling due to ";" present in the following line
ВідповістиВидалитиval numBs = logData.filter(line =>; line.contains("Lviv")).count()
Thanks,
Vicky