Just testing out the rc1. I create a dependent project (using maven) and I
copied the HdfsTest.scala test, but I added a single line to save the file back
to disk:
package org.apache.spark.examples
import org.apache.spark._
object HdfsTest {
def main(args: Array[String]) {
val sc = new SparkContext(args(0), "HdfsTest",
System.getenv("SPARK_HOME"), SparkContext.jarOfClass(this.getClass))
val file = sc.textFile(args(1))
val mapped = file.map(s => s.length).cache()
for (iter <- 1 to 10) {
val start = System.currentTimeMillis()
for (x <- mapped) { x + 2 }
// println("Processing: " + x)
val end = System.currentTimeMillis()
println("Iteration " + iter + " took " + (end-start) + " ms")
mapped.saveAsTextFile("out")
}
System.exit(0)
}
}
and this my pom file:
<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/maven-v4_0_0.xsd";>
<modelVersion>4.0.0</modelVersion>
<groupId>my.examples</groupId>
<artifactId>spark-samples</artifactId>
<version>0.0.1-SNAPSHOT</version>
<inceptionYear>2014</inceptionYear>
<properties>
<maven.compiler.source>1.6</maven.compiler.source>
<maven.compiler.target>1.6</maven.compiler.target>
<encoding>UTF-8</encoding>
<scala.tools.version>2.10</scala.tools.version>
<scala.version>2.10.0</scala.version>
</properties>
<repositories>
<repository>
<id>spark staging</id>
<url>https://repository.apache.org/content/repositories/orgapachespark-1001</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.tools.version}</artifactId>
<version>0.9.0-incubating</version>
</dependency>
<!-- Test -->
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.specs2</groupId>
<artifactId>specs2_${scala.tools.version}</artifactId>
<version>1.13</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scalatest</groupId>
<artifactId>scalatest_${scala.tools.version}</artifactId>
<version>2.0.M6-SNAP8</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<plugins>
<plugin>
<!-- see
http://davidb.github.com/scala-maven-plugin -->
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.1.6</version>
<configuration>
<scalaCompatVersion>2.10</scalaCompatVersion>
<jvmArgs>
<jvmArg>-Xms128m</jvmArg>
<jvmArg>-Xmx2048m</jvmArg>
</jvmArgs>
</configuration>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
<configuration>
<args>
<arg>-make:transitive</arg>
<arg>-dependencyfile</arg>
<arg>${project.build.directory}/.scala_dependencies</arg>
</args>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.13</version>
<configuration>
<useFile>false</useFile>
<disableXmlReport>true</disableXmlReport>
<!-- If you have classpath issue like
NoDefClassError,... -->
<!--
useManifestOnlyJar>false</useManifestOnlyJar -->
<includes>
<include>**/*Test.*</include>
<include>**/*Suite.*</include>
</includes>
</configuration>
</plugin>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
<version>1.2.1</version>
<executions>
<execution>
<goals>
<goal>exec</goal>
</goals>
</execution>
</executions>
<configuration>
<mainClass>org.apache.spark.examples.HdfsTest</mainClass>
<arguments>
<argument>local</argument>
<argument>pom.xml</argument>
</arguments>
</configuration>
</plugin>
</plugins>
</build>
</project>
now, when I run it either in eclipse or using "mvn exec:java" I get the
following error:
[INFO]
[INFO] --- exec-maven-plugin:1.2.1:java (default-cli) @ spark-samples ---
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in
[jar:file:/Users/acozzi/.m2/repository/org/slf4j/slf4j-log4j12/1.6.1/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/Users/acozzi/.m2/repository/org/slf4j/slf4j-simple/1.6.1/slf4j-simple-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
14/01/15 23:37:57 INFO slf4j.Slf4jLogger: Slf4jLogger started
14/01/15 23:37:57 INFO Remoting: Starting remoting
14/01/15 23:37:57 INFO Remoting: Remoting started; listening on addresses
:[akka.tcp://spark@10.0.1.10:53682]
14/01/15 23:37:57 INFO Remoting: Remoting now listens on addresses:
[akka.tcp://spark@10.0.1.10:53682]
14/01/15 23:37:57 INFO spark.SparkEnv: Registering BlockManagerMaster
14/01/15 23:37:57 INFO storage.DiskBlockManager: Created local directory at
/var/folders/mm/4qxz27w91p96v2zp5f9ncmqm38ychm/T/spark-local-20140115233757-7a41
14/01/15 23:37:57 INFO storage.MemoryStore: MemoryStore started with capacity
1218.8 MB.
14/01/15 23:37:57 INFO network.ConnectionManager: Bound socket to port 53683
with id = ConnectionManagerId(10.0.1.10,53683)
14/01/15 23:37:57 INFO storage.BlockManagerMaster: Trying to register
BlockManager
14/01/15 23:37:57 INFO storage.BlockManagerMasterActor$BlockManagerInfo:
Registering block manager 10.0.1.10:53683 with 1218.8 MB RAM
14/01/15 23:37:57 INFO storage.BlockManagerMaster: Registered BlockManager
14/01/15 23:37:57 INFO spark.HttpServer: Starting HTTP Server
14/01/15 23:37:57 INFO server.Server: jetty-7.6.8.v20121106
14/01/15 23:37:57 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:53684
14/01/15 23:37:57 INFO broadcast.HttpBroadcast: Broadcast server started at
http://10.0.1.10:53684
14/01/15 23:37:57 INFO spark.SparkEnv: Registering MapOutputTracker
14/01/15 23:37:57 INFO spark.HttpFileServer: HTTP File server directory is
/var/folders/mm/4qxz27w91p96v2zp5f9ncmqm38ychm/T/spark-e9304513-3714-430f-aa14-1a430a915d98
14/01/15 23:37:57 INFO spark.HttpServer: Starting HTTP Server
14/01/15 23:37:57 INFO server.Server: jetty-7.6.8.v20121106
14/01/15 23:37:57 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:53685
14/01/15 23:37:57 INFO server.Server: jetty-7.6.8.v20121106
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/storage/rdd,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/storage,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/stages/stage,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/stages/pool,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/stages,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/environment,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/executors,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/metrics/json,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/static,null}
14/01/15 23:37:57 INFO handler.ContextHandler: started
o.e.j.s.h.ContextHandler{/,null}
14/01/15 23:37:57 INFO server.AbstractConnector: Started
SelectChannelConnector@0.0.0.0:4040
14/01/15 23:37:57 INFO ui.SparkUI: Started Spark Web UI at http://10.0.1.10:4040
2014-01-15 23:37:57.929 java[34819:1020b] Unable to load realm mapping info
from SCDynamicStore
14/01/15 23:37:58 INFO storage.MemoryStore: ensureFreeSpace(35456) called with
curMem=0, maxMem=1278030643
14/01/15 23:37:58 INFO storage.MemoryStore: Block broadcast_0 stored as values
to memory (estimated size 34.6 KB, free 1218.8 MB)
14/01/15 23:37:58 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
14/01/15 23:37:58 WARN snappy.LoadSnappy: Snappy native library not loaded
14/01/15 23:37:58 INFO mapred.FileInputFormat: Total input paths to process : 1
14/01/15 23:37:58 INFO spark.SparkContext: Starting job: foreach at
HdfsTest.scala:30
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Got job 0 (foreach at
HdfsTest.scala:30) with 1 output partitions (allowLocal=false)
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Final stage: Stage 0 (foreach at
HdfsTest.scala:30)
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Parents of final stage: List()
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Missing parents: List()
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Submitting Stage 0 (MappedRDD[2]
at map at HdfsTest.scala:27), which has no missing parents
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Submitting 1 missing tasks from
Stage 0 (MappedRDD[2] at map at HdfsTest.scala:27)
14/01/15 23:37:58 INFO scheduler.TaskSchedulerImpl: Adding task set 0.0 with 1
tasks
14/01/15 23:37:58 INFO scheduler.TaskSetManager: Starting task 0.0:0 as TID 0
on executor localhost: localhost (PROCESS_LOCAL)
14/01/15 23:37:58 INFO scheduler.TaskSetManager: Serialized task 0.0:0 as 1778
bytes in 5 ms
14/01/15 23:37:58 INFO executor.Executor: Running task ID 0
14/01/15 23:37:58 INFO storage.BlockManager: Found block broadcast_0 locally
14/01/15 23:37:58 INFO spark.CacheManager: Partition rdd_2_0 not found,
computing it
14/01/15 23:37:58 INFO rdd.HadoopRDD: Input split:
file:/Users/acozzi/Documents/workspace/spark-samples/pom.xml:0+4092
14/01/15 23:37:58 INFO storage.MemoryStore: ensureFreeSpace(2853) called with
curMem=35456, maxMem=1278030643
14/01/15 23:37:58 INFO storage.MemoryStore: Block rdd_2_0 stored as values to
memory (estimated size 2.8 KB, free 1218.8 MB)
14/01/15 23:37:58 INFO storage.BlockManagerMasterActor$BlockManagerInfo: Added
rdd_2_0 in memory on 10.0.1.10:53683 (size: 2.8 KB, free: 1218.8 MB)
14/01/15 23:37:58 INFO storage.BlockManagerMaster: Updated info of block rdd_2_0
14/01/15 23:37:58 INFO executor.Executor: Serialized size of result for 0 is 525
14/01/15 23:37:58 INFO executor.Executor: Sending result for 0 directly to
driver
14/01/15 23:37:58 INFO executor.Executor: Finished task ID 0
14/01/15 23:37:58 INFO scheduler.TaskSetManager: Finished TID 0 in 61 ms on
localhost (progress: 0/1)
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Completed ResultTask(0, 0)
14/01/15 23:37:58 INFO scheduler.TaskSchedulerImpl: Remove TaskSet 0.0 from
pool
14/01/15 23:37:58 INFO scheduler.DAGScheduler: Stage 0 (foreach at
HdfsTest.scala:30) finished in 0.071 s
14/01/15 23:37:58 INFO spark.SparkContext: Job finished: foreach at
HdfsTest.scala:30, took 0.151199 s
Iteration 1 took 189 ms
[WARNING]
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.codehaus.mojo.exec.ExecJavaMojo$1.run(ExecJavaMojo.java:297)
at java.lang.Thread.run(Thread.java:695)
Caused by: java.lang.IncompatibleClassChangeError: Implementing class
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClassCond(ClassLoader.java:637)
at java.lang.ClassLoader.defineClass(ClassLoader.java:621)
at
java.security.SecureClassLoader.defineClass(SecureClassLoader.java:141)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:283)
at java.net.URLClassLoader.access$000(URLClassLoader.java:58)
at java.net.URLClassLoader$1.run(URLClassLoader.java:197)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:171)
at
org.apache.hadoop.mapred.SparkHadoopMapRedUtil$class.firstAvailableClass(SparkHadoopMapRedUtil.scala:48)
at
org.apache.hadoop.mapred.SparkHadoopMapRedUtil$class.newJobContext(SparkHadoopMapRedUtil.scala:23)
at
org.apache.hadoop.mapred.SparkHadoopWriter.newJobContext(SparkHadoopWriter.scala:40)
at
org.apache.hadoop.mapred.SparkHadoopWriter.getJobContext(SparkHadoopWriter.scala:149)
at
org.apache.hadoop.mapred.SparkHadoopWriter.preSetup(SparkHadoopWriter.scala:64)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:713)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:686)
at
org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:572)
at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:894)
at
org.apache.spark.examples.HdfsTest$$anonfun$main$1.apply$mcVI$sp(HdfsTest.scala:34)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:142)
at org.apache.spark.examples.HdfsTest$.main(HdfsTest.scala:28)
at org.apache.spark.examples.HdfsTest.main(HdfsTest.scala)
... 6 more
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 3.224s
[INFO] Finished at: Wed Jan 15 23:37:58 PST 2014
[INFO] Final Memory: 12M/81M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal org.codehaus.mojo:exec-maven-plugin:1.2.1:java
(default-cli) on project spark-samples: An exception occured while executing
the Java class. null: InvocationTargetException: Implementing class -> [Help 1]
Alex Cozzi
alexco...@gmail.com
On Jan 15, 2014, at 5:48 PM, Patrick Wendell <pwend...@gmail.com> wrote:
> Please vote on releasing the following candidate as Apache Spark
> (incubating) version 0.9.0.
>
> A draft of the release notes along with the changes file is attached
> to this e-mail.
>
> The tag to be voted on is v0.9.0-incubating (commit 7348893):
> https://git-wip-us.apache.org/repos/asf?p=incubator-spark.git;a=commit;h=7348893f0edd96dacce2f00970db1976266f7008
>
> The release files, including signatures, digests, etc can be found at:
> http://people.apache.org/~pwendell/spark-0.9.0-incubating-rc1/
>
> Release artifacts are signed with the following key:
> https://people.apache.org/keys/committer/pwendell.asc
>
> The staging repository for this release can be found at:
> https://repository.apache.org/content/repositories/orgapachespark-1001/
>
> The documentation corresponding to this release can be found at:
> http://people.apache.org/~pwendell/spark-0.9.0-incubating-rc1-docs/
>
> Please vote on releasing this package as Apache Spark 0.9.0-incubating!
>
> The vote is open until Sunday, January 19, at 02:00 UTC
> and passes if a majority of at least 3 +1 PPMC votes are cast.
>
> [ ] +1 Release this package as Apache Spark 0.9.0-incubating
> [ ] -1 Do not release this package because ...
>
> To learn more about Apache Spark, please see
> http://spark.incubator.apache.org/
