As mentioned, deprecated in Spark 1.0+.
Try to use the --driver-class-path:
./bin/spark-shell --driver-class-path yourlib.jar:abc.jar:xyz.jar
Don't use glob *, specify the JAR one by one with colon.
Date: Wed, 9 Jul 2014 13:45:07 -0700
From: kat...@cs.pitt.edu
Subject: SPARK_CLASSPATH Warning
To: user@spark.apache.org
Hello,
I have installed Apache Spark v1.0.0 in a machine with a proprietary Hadoop
Distribution installed (v2.2.0 without yarn). Due to the fact that the Hadoop
Distribution that I am using, uses a list of jars , I do the following changes
to the conf/spark-env.sh
#!/usr/bin/env bash
export HADOOP_CONF_DIR=/path-to-hadoop-conf/hadoop-conf
export SPARK_LOCAL_IP=impl41
export
SPARK_CLASSPATH="/path-to-proprietary-hadoop-lib/lib/*:/path-to-proprietary-hadoop-lib/*"
...
Also, to make sure that I have everything working I execute the Spark shell as
follows:
[biadmin@impl41 spark]$ ./bin/spark-shell --jars
/path-to-proprietary-hadoop-lib/lib/*.jar
14/07/09 13:37:28 INFO spark.SecurityManager: Changing view acls to: biadmin
14/07/09 13:37:28 INFO spark.SecurityManager: SecurityManager: authentication
disabled; ui acls disabled; users with view permissions: Set(biadmin)
14/07/09 13:37:28 INFO spark.HttpServer: Starting HTTP Server
14/07/09 13:37:29 INFO server.Server: jetty-8.y.z-SNAPSHOT
14/07/09 13:37:29 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:44292
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.0.0
/_/
Using Scala version 2.10.4 (IBM J9 VM, Java 1.7.0)
Type in expressions to have them evaluated.
Type :help for more information.
14/07/09 13:37:36 WARN spark.SparkConf:
SPARK_CLASSPATH was detected (set to
'path-to-proprietary-hadoop-lib/*:/path-to-proprietary-hadoop-lib/lib/*').
This is deprecated in Spark 1.0+.
Please instead use:
- ./spark-submit with --driver-class-path to augment the driver classpath
- spark.executor.extraClassPath to augment the executor classpath
14/07/09 13:37:36 WARN spark.SparkConf: Setting 'spark.executor.extraClassPath'
to '/path-to-proprietary-hadoop-lib/lib/*:/path-to-proprietary-hadoop-lib/*' as
a work-around.
14/07/09 13:37:36 WARN spark.SparkConf: Setting 'spark.driver.extraClassPath'
to '/path-to-proprietary-hadoop-lib/lib/*:/path-to-proprietary-hadoop-lib/*' as
a work-around.
14/07/09 13:37:36 INFO spark.SecurityManager: Changing view acls to: biadmin
14/07/09 13:37:36 INFO spark.SecurityManager: SecurityManager: authentication
disabled; ui acls disabled; users with view permissions: Set(biadmin)
14/07/09 13:37:37 INFO slf4j.Slf4jLogger: Slf4jLogger started
14/07/09 13:37:37 INFO Remoting: Starting remoting
14/07/09 13:37:37 INFO Remoting: Remoting started; listening on addresses
:[akka.tcp://spark@impl41:46081]
14/07/09 13:37:37 INFO Remoting: Remoting now listens on addresses:
[akka.tcp://spark@impl41:46081]
14/07/09 13:37:37 INFO spark.SparkEnv: Registering MapOutputTracker
14/07/09 13:37:37 INFO spark.SparkEnv: Registering BlockManagerMaster
14/07/09 13:37:37 INFO storage.DiskBlockManager: Created local directory at
/tmp/spark-local-20140709133737-798b
14/07/09 13:37:37 INFO storage.MemoryStore: MemoryStore started with capacity
307.2 MB.
14/07/09 13:37:38 INFO network.ConnectionManager: Bound socket to port 16685
with id = ConnectionManagerId(impl41,16685)
14/07/09 13:37:38 INFO storage.BlockManagerMaster: Trying to register
BlockManager
14/07/09 13:37:38 INFO storage.BlockManagerInfo: Registering block manager
impl41:16685 with 307.2 MB RAM
14/07/09 13:37:38 INFO storage.BlockManagerMaster: Registered BlockManager
14/07/09 13:37:38 INFO spark.HttpServer: Starting HTTP Server
14/07/09 13:37:38 INFO server.Server: jetty-8.y.z-SNAPSHOT
14/07/09 13:37:38 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:21938
14/07/09 13:37:38 INFO broadcast.HttpBroadcast: Broadcast server started at
http://impl41:21938
14/07/09 13:37:38 INFO spark.HttpFileServer: HTTP File server directory is
/tmp/spark-91e8e040-f2ca-43dd-b574-805033f476c7
14/07/09 13:37:38 INFO spark.HttpServer: Starting HTTP Server
14/07/09 13:37:38 INFO server.Server: jetty-8.y.z-SNAPSHOT
14/07/09 13:37:38 INFO server.AbstractConnector: Started
SocketConnector@0.0.0.0:52678
14/07/09 13:37:38 INFO server.Server: jetty-8.y.z-SNAPSHOT
14/07/09 13:37:38 INFO server.AbstractConnector: Started
SelectChannelConnector@0.0.0.0:4040
14/07/09 13:37:38 INFO ui.SparkUI: Started SparkUI at http://impl41:4040
14/07/09 13:37:39 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
14/07/09 13:37:39 INFO spark.SparkContext: Added JAR
file:/opt/ibm/biginsights/IHC/lib/adaptive-mr.jar at
http://impl41:52678/jars/adaptive-mr.jar with timestamp 1404938259526
14/07/09 13:37:39 INFO executor.Executor: Using REPL class URI:
http://impl41:44292
14/07/09 13:37:39 INFO repl.SparkILoop: Created spark context..
Spark context available as sc.
scala>
So, my question is the following:
Am I including my libraries correctly? Why do I get the message that the
SPARK_CLASSPATH method is deprecated?
Also, when I execute the following example:
scala> val file = sc.textFile("hdfs://lpsa.dat")
14/07/09 13:41:43 WARN util.SizeEstimator: Failed to check whether
UseCompressedOops is set; assuming yes
14/07/09 13:41:43 INFO storage.MemoryStore: ensureFreeSpace(102907) called with
curMem=0, maxMem=322122547
14/07/09 13:41:43 INFO storage.MemoryStore: Block broadcast_0 stored as values
to memory (estimated size 100.5 KB, free 307.1 MB)
file: org.apache.spark.rdd.RDD[String] = MappedRDD[1] at textFile at
<console>:12
scala> val errors = file.filter(line => line.contains("ERROR"))
errors: org.apache.spark.rdd.RDD[String] = FilteredRDD[2] at filter at
<console>:14
scala> errors.count()
14/07/09 13:42:11 WARN hdfs.BlockReaderLocal: The short-circuit local reads
feature cannot be used because libhadoop cannot be loaded.
java.lang.IllegalArgumentException: java.net.UnknownHostException: lpsa.dat
at
org.apache.hadoop.security.SecurityUtil.buildTokenService(SecurityUtil.java:418)
at
org.apache.hadoop.hdfs.NameNodeProxies.createNonHAProxy(NameNodeProxies.java:231)
at
org.apache.hadoop.hdfs.NameNodeProxies.createProxy(NameNodeProxies.java:139)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:510)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:453)
at
org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:136)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2442)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:89)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2476)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2458)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:376)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at
org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:176)
at
org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:208)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:172)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
at org.apache.spark.rdd.FilteredRDD.getPartitions(FilteredRDD.scala:29)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1094)
at org.apache.spark.rdd.RDD.count(RDD.scala:847)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:17)
at $iwC$$iwC$$iwC.<init>(<console>:22)
at $iwC$$iwC.<init>(<console>:24)
at $iwC.<init>(<console>:26)
at <init>(<console>:28)
at .<init>(<console>:32)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:94)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:55)
at java.lang.reflect.Method.invoke(Method.java:619)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:601)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:608)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:611)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:936)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at
scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:94)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:55)
at java.lang.reflect.Method.invoke(Method.java:619)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:292)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.UnknownHostException: lpsa.dat
... 71 more
scala>
Why do I get this UnknownHostException on the file and what does the following
mesage mean:
"hdfs.BlockReaderLocal: The short-circuit local reads feature cannot be used
because libhadoop cannot be loaded"
I apologize for the long message but I searched previous messages and I can not
figure out what I am doing wrong.
Thank you,
Nick
