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10-09-2014
43
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13
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2
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My Accepted Solutions
Title | Views | Posted |
---|---|---|
3152 | 01-14-2016 05:56 AM | |
2912 | 11-11-2014 07:05 AM |
11-29-2016
09:10 PM
Hi, I am trying to install NiFi on redhat 6.8 withing following steps wget http://public-repo-1.hortonworks.com/HDF/2.0.1.0/HDF-2.0.1.0-12.tar.gz
tar -zxf HDF-2.0.1.0-12.tar.gz
cd HDF-2.0.1.0-12/nifi
bin/nifi.sh start
After this I see following messages in logs [root@abc000732 nifi]# tailf logs/nifi-bootstrap.log
2016-11-29 20:06:03,579 INFO [main] org.apache.nifi.bootstrap.RunNiFi NiFi never started. Will not restart NiFi
2016-11-29 20:07:11,636 INFO [main] o.a.n.b.NotificationServiceManager Successfully loaded the following 0 services: []
2016-11-29 20:07:11,639 INFO [main] org.apache.nifi.bootstrap.RunNiFi Registered no Notification Services for Notification Type NIFI_STARTED
2016-11-29 20:07:11,639 INFO [main] org.apache.nifi.bootstrap.RunNiFi Registered no Notification Services for Notification Type NIFI_STOPPED
2016-11-29 20:07:11,639 INFO [main] org.apache.nifi.bootstrap.RunNiFi Registered no Notification Services for Notification Type NIFI_DIED
2016-11-29 20:07:11,657 INFO [main] org.apache.nifi.bootstrap.Command Starting Apache NiFi...
2016-11-29 20:07:11,657 INFO [main] org.apache.nifi.bootstrap.Command Working Directory: /opt/HDF-2.0.1.0/nifi
2016-11-29 20:07:11,657 INFO [main] org.apache.nifi.bootstrap.Command Command: java -classpath /opt/HDF-2.0.1.0/nifi/./conf:/opt/HDF-2.0.1.0/nifi/./lib/nifi-documentation-1.0.0.2.0.1.0-12.jar:/opt/HDF-2.0.1.0/nifi/./lib/logback-classic-1.1.3.jar:/opt/HDF-2.0.1.0/nifi/./lib/nifi-api-1.0.0.2.0.1.0-12.jar:/opt/HDF-2.0.1.0/nifi/./lib/nifi-nar-utils-1.0.0.2.0.1.0-12.jar:/opt/HDF-2.0.1.0/nifi/./lib/slf4j-api-1.7.12.jar:/opt/HDF-2.0.1.0/nifi/./lib/nifi-properties-1.0.0.2.0.1.0-12.jar:/opt/HDF-2.0.1.0/nifi/./lib/commons-lang3-3.4.jar:/opt/HDF-2.0.1.0/nifi/./lib/nifi-properties-loader-1.0.0.2.0.1.0-12.jar:/opt/HDF-2.0.1.0/nifi/./lib/nifi-framework-api-1.0.0.2.0.1.0-12.jar:/opt/HDF-2.0.1.0/nifi/./lib/logback-core-1.1.3.jar:/opt/HDF-2.0.1.0/nifi/./lib/jul-to-slf4j-1.7.12.jar:/opt/HDF-2.0.1.0/nifi/./lib/log4j-over-slf4j-1.7.12.jar:/opt/HDF-2.0.1.0/nifi/./lib/jcl-over-slf4j-1.7.12.jar:/opt/HDF-2.0.1.0/nifi/./lib/bcprov-jdk15on-1.54.jar:/opt/HDF-2.0.1.0/nifi/./lib/nifi-runtime-1.0.0.2.0.1.0-12.jar -Dorg.apache.jasper.compiler.disablejsr199=true -Xmx512m -Xms512m -Dsun.net.http.allowRestrictedHeaders=true -Djava.net.preferIPv4Stack=true -Djava.awt.headless=true -XX:+UseG1GC -Djava.protocol.handler.pkgs=sun.net.www.protocol -Dnifi.properties.file.path=/opt/HDF-2.0.1.0/nifi/./conf/nifi.properties -Dnifi.bootstrap.listen.port=19169 -Dapp=NiFi -Dorg.apache.nifi.bootstrap.config.log.dir=/opt/HDF-2.0.1.0/nifi/logs org.apache.nifi.NiFi
2016-11-29 20:07:12,102 INFO [NiFi Bootstrap Command Listener] org.apache.nifi.bootstrap.RunNiFi Apache NiFi now running and listening for Bootstrap requests on port 52062
2016-11-29 20:07:14,687 INFO [main] org.apache.nifi.bootstrap.RunNiFi NiFi never started. Will not restart NiFi
[root@abc000732 nifi]# tailf logs/nifi-app.log
2016-11-29 20:07:13,939 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-standard-services-api-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-standard-services-api-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,941 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-enrich-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-enrich-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,944 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-elasticsearch-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-elasticsearch-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,949 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-standard-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-standard-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,950 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-avro-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-avro-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,951 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-amqp-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-amqp-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,961 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-hive-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-hive-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,962 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-riemann-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-riemann-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,963 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/./work/nar/extensions/nifi-scripting-nar-1.0.0.2.0.1.0-12.nar-unpacked as class loader org.apache.nifi.nar.NarClassLoader[./work/nar/extensions/nifi-scripting-nar-1.0.0.2.0.1.0-12.nar-unpacked]
2016-11-29 20:07:13,965 INFO [main] org.apache.nifi.nar.NarClassLoaders Loaded NAR file: /opt/HDF-2.0.1.0/nifi/
I have oracle java (1.8.0_60) installed on this VM and iptables is off and selinux is disabled. Anyone know whats wrong with this. Same steps works on Centos 6.8
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Apache NiFi
09-14-2016
08:46 PM
After correcting values for hbase.regionserver.global.memstore.size and hfile.block.cache.size everything looks good.
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09-13-2016
01:42 PM
1 Kudo
I am trying to update Hbase properties through Ambari API and was following this document. Here are the steps I followed : Dumped the existing config into newconfig.json curl -u "admin:admin" -G "https://myhbase.net/api/v1/clusters/myhbase/configurations?type=hbase-site&tag=TOPOLOGY_RESOLVED" | jq --arg newtag $(echo version$(date +%s%N)) '.items[] | del(.href, .version, .Config) | .tag |= $newtag | {"Clusters": {"desired_config": .}}' > newconfig.json Then Modified the property from `0.4` to `0.6` in newconfig.json, also version number "hbase.regionserver.global.memstore.size": "0.6", Then apply the modified config cat newconfig.json | curl -u "admin:admin" -H "X-Requested-By: ambari" -X PUT -d "@-" "https://myhbase.net/api/v1/clusters/myhbase" Then restarted the HBase Stop echo '{"RequestInfo": {"context" :"Stopping the Hbase service"}, "Body": {"ServiceInfo": {"state": "INSTALLED"}}}' | curl -u "admin:admin" -H "X-Requested-By: ambari" -X PUT -d "@-" "https://myhbase.net/api/v1/clusters/myhbase/services/HBASE" Start echo '{"RequestInfo": {"context" :"Restarting the Hbase service"}, "Body": {"ServiceInfo": {"state": "STARTED"}}}' | curl -u "admin:admin" -H "X-Requested-By: ambari" -X PUT -d "@-" "https://myhbase.net/api/v1/clusters/myhbase/services/HBASE" But after restart Hbase master & region server went down & stuck into restart mode, where they were getting restarted. Anyone know what wrong I ma doing here ? is there any better way to do this through Ambari API ?
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07-05-2016
12:41 PM
I do have azure-storage package installed root@sbd-docker:~# pip show azure-storage
---
Name: azure-storage
Version: 0.20.0
Location: /usr/local/lib/python2.7/dist-packages
Requires: azure-nspkg, requests, python-dateutil, azure-common
root@sbd-docker:~# Is this what you mean ?
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07-05-2016
12:38 PM
I tried setting up HADOOP_HOME & log4j property you mentioned. Not its looks lik this https://gist.github.com/anonymous/6502365d31d68bc29bc2afac15b01158. spark-shell trace https://gist.github.com/anonymous/57014be445e1c8526fdaba561739ba44
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07-01-2016
05:34 PM
I do have `/usr/hdp/current/hadoop-client/hadoop-azure.jar` present on the node
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07-01-2016
02:34 PM
Hi, We have HDInsight cluster in Azure running, but it doesn't allow to spin up edge/gateway node at the time of cluster creation. So I was creating this edge/gateway node by installing echo 'deb http://private-repo-1.hortonworks.com/HDP/ubuntu14/2.x/updates/2.4.2.0 HDP main' >> /etc/apt/sources.list.d/HDP.list
echo 'deb http://private-repo-1.hortonworks.com/HDP-UTILS-1.1.0.20/repos/ubuntu14 HDP-UTILS main' >> /etc/apt/sources.list.d/HDP.list
echo 'deb [arch=amd64] https://apt-mo.trafficmanager.net/repos/azurecore/ trusty main' >> /etc/apt/sources.list.d/azure-public-trusty.list
gpg --keyserver pgp.mit.edu --recv-keys B9733A7A07513CAD
gpg -a --export 07513CAD | apt-key add -
gpg --keyserver pgp.mit.edu --recv-keys B02C46DF417A0893
gpg -a --export 417A0893 | apt-key add -
apt-get -y install openjdk-7-jdk
export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64
apt-get -y install hadoop hadoop-hdfs hadoop-yarn hadoop-mapreduce hadoop-client openssl libhdfs0 liblzo2-2 liblzo2-dev hadoop-lzo phoenix hive hive-hcatalog tez mysql-connector-java* oozie oozie-client sqoop flume flume-agent spark After installing all packages and copying config files from cluster node, I am able to access hadoop fs commands and run yarn jobs. But Spark doesn't work smoothly yet, following packages are present on the edge/gateway node with spark config from cluster. root@sbd-docker:~/ubuntu# dpkg -l | grep spark
ii spark 1.6.1.2.4.2.0-258 all spark is a virtual package that brings spark-2-4-2-0-258 as a dependency.
ii spark-2-4-2-0-258 1.6.1.2.4.2.0-258 all Lightning-Fast Cluster Computing
ii spark-2-4-2-0-258-master 1.6.1.2.4.2.0-258 all Server for Spark master
ii spark-2-4-2-0-258-python 1.6.1.2.4.2.0-258 all Python client for Spark
ii spark-2-4-2-0-258-worker 1.6.1.2.4.2.0-258 all Server for Spark worker
ii spark-2-4-2-0-258-yarn-shuffle 1.6.1.2.4.2.0-258 all Spark Yarn Shuffle jar
root@sbd-docker:~/ubuntu#
spark-shell gives me following error root@sbd-docker:~/ubuntu# spark-shell
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/hdp/2.4.2.0-258/spark/lib/spark-assembly-1.6.1.2.4.2.0-258-hadoop2.7.1.2.4.2.0-258.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.4.2.0-258/spark/lib/spark-assembly.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.4.2.0-258/spark/lib/spark-examples-1.6.1.2.4.2.0-258-hadoop2.7.1.2.4.2.0-258.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]
16/07/01 14:35:28 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/07/01 14:35:29 INFO SecurityManager: Changing view acls to: root
16/07/01 14:35:29 INFO SecurityManager: Changing modify acls to: root
16/07/01 14:35:29 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
16/07/01 14:35:29 INFO HttpServer: Starting HTTP Server
16/07/01 14:35:29 INFO Server: jetty-8.y.z-SNAPSHOT
16/07/01 14:35:29 INFO AbstractConnector: Started SocketConnector@0.0.0.0:47325
16/07/01 14:35:29 INFO Utils: Successfully started service 'HTTP class server' on port 47325.
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.6.1
/_/
Using Scala version 2.10.5 (OpenJDK 64-Bit Server VM, Java 1.7.0_101)
Type in expressions to have them evaluated.
Type :help for more information.
16/07/01 14:35:37 INFO SparkContext: Running Spark version 1.6.1
16/07/01 14:35:37 INFO SecurityManager: Changing view acls to: root
16/07/01 14:35:37 INFO SecurityManager: Changing modify acls to: root
16/07/01 14:35:37 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
16/07/01 14:35:37 INFO Utils: Successfully started service 'sparkDriver' on port 37810.
16/07/01 14:35:39 INFO Slf4jLogger: Slf4jLogger started
16/07/01 14:35:39 INFO Remoting: Starting remoting
16/07/01 14:35:39 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@10.8.17.5:45089]
16/07/01 14:35:39 INFO Utils: Successfully started service 'sparkDriverActorSystem' on port 45089.
16/07/01 14:35:39 INFO SparkEnv: Registering MapOutputTracker
16/07/01 14:35:39 INFO SparkEnv: Registering BlockManagerMaster
16/07/01 14:35:39 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-0de66eed-5a2e-4c6b-a78c-f1719dce3b1d
16/07/01 14:35:39 INFO MemoryStore: MemoryStore started with capacity 517.4 MB
16/07/01 14:35:39 INFO SparkEnv: Registering OutputCommitCoordinator
16/07/01 14:35:40 INFO Server: jetty-8.y.z-SNAPSHOT
16/07/01 14:35:40 INFO AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040
16/07/01 14:35:40 INFO Utils: Successfully started service 'SparkUI' on port 4040.
16/07/01 14:35:40 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://10.8.17.5:4040
spark.yarn.driver.memoryOverhead is set but does not apply in client mode.
16/07/01 14:35:41 INFO TimelineClientImpl: Timeline service address: http://hn0-haspar.pbed5jwkixfebdxr1by2u30lzf.cx.internal.cloudapp.net:8188/ws/v1/timeline/
16/07/01 14:35:41 INFO AbstractService: Service org.apache.hadoop.yarn.client.api.impl.TimelineClientImpl failed in state STARTED; cause: java.io.IOException: No FileSystem for scheme: wasb
java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2644)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2651)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:92)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2687)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2669)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:170)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:355)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.hadoop.yarn.client.api.impl.TimelineClientImpl.serviceStart(TimelineClientImpl.java:378)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceStart(YarnClientImpl.java:194)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:127)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $line3.$read$$iwC$$iwC.<init>(<console>:15)
at $line3.$read$$iwC.<init>(<console>:24)
at $line3.$read.<init>(<console>:26)
at $line3.$read$.<init>(<console>:30)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
16/07/01 14:35:41 INFO AbstractService: Service org.apache.hadoop.yarn.client.api.impl.YarnClientImpl failed in state STARTED; cause: org.apache.hadoop.service.ServiceStateException: java.io.IOException: No FileSystem for scheme: wasb
org.apache.hadoop.service.ServiceStateException: java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.service.ServiceStateException.convert(ServiceStateException.java:59)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:204)
at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceStart(YarnClientImpl.java:194)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:127)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $line3.$read$$iwC$$iwC.<init>(<console>:15)
at $line3.$read$$iwC.<init>(<console>:24)
at $line3.$read.<init>(<console>:26)
at $line3.$read$.<init>(<console>:30)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2644)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2651)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:92)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2687)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2669)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:170)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:355)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.hadoop.yarn.client.api.impl.TimelineClientImpl.serviceStart(TimelineClientImpl.java:378)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
... 54 more
16/07/01 14:35:41 ERROR SparkContext: Error initializing SparkContext.
org.apache.hadoop.service.ServiceStateException: java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.service.ServiceStateException.convert(ServiceStateException.java:59)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:204)
at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceStart(YarnClientImpl.java:194)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:127)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $line3.$read$$iwC$$iwC.<init>(<console>:15)
at $line3.$read$$iwC.<init>(<console>:24)
at $line3.$read.<init>(<console>:26)
at $line3.$read$.<init>(<console>:30)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.<init>(<console>:7)
at $line3.$eval$.<clinit>(<console>)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2644)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2651)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:92)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2687)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2669)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:170)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:355)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.hadoop.yarn.client.api.impl.TimelineClientImpl.serviceStart(TimelineClientImpl.java:378)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
... 54 more
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/api,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/static,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/threadDump,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/executors,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/environment,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/storage,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/stages,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
16/07/01 14:35:41 INFO ContextHandler: stopped o.s.j.s.ServletContextHandler{/jobs,null}
16/07/01 14:35:41 INFO SparkUI: Stopped Spark web UI at http://10.8.17.5:4040
16/07/01 14:35:41 WARN YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to request executors before the AM has registered!
16/07/01 14:35:41 INFO YarnClientSchedulerBackend: Stopped
16/07/01 14:35:41 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
16/07/01 14:35:41 INFO MemoryStore: MemoryStore cleared
16/07/01 14:35:41 INFO BlockManager: BlockManager stopped
16/07/01 14:35:41 INFO BlockManagerMaster: BlockManagerMaster stopped
16/07/01 14:35:41 WARN MetricsSystem: Stopping a MetricsSystem that is not running
16/07/01 14:35:41 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
16/07/01 14:35:41 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
16/07/01 14:35:41 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
16/07/01 14:35:41 INFO SparkContext: Successfully stopped SparkContext
16/07/01 14:35:41 INFO RemoteActorRefProvider$RemotingTerminator: Remoting shut down.
org.apache.hadoop.service.ServiceStateException: java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.service.ServiceStateException.convert(ServiceStateException.java:59)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:204)
at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceStart(YarnClientImpl.java:194)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:127)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
at $iwC$$iwC.<init>(<console>:15)
at $iwC.<init>(<console>:24)
at <init>(<console>:26)
at .<init>(<console>:30)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:125)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: No FileSystem for scheme: wasb
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2644)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2651)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:92)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2687)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2669)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:170)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:355)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.hadoop.yarn.client.api.impl.TimelineClientImpl.serviceStart(TimelineClientImpl.java:378)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
... 54 more
java.lang.NullPointerException
at org.apache.spark.sql.SQLContext$.createListenerAndUI(SQLContext.scala:1367)
at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028)
at $iwC$$iwC.<init>(<console>:15)
at $iwC.<init>(<console>:24)
at <init>(<console>:26)
at .<init>(<console>:30)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:132)
at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974)
at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159)
at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108)
at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
<console>:16: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:16: error: not found: value sqlContext
import sqlContext.sql
^
scala>
Any one know what I am missing here.
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Apache Spark
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Apache YARN
06-23-2016
12:33 PM
1 Kudo
Thanks @Chris Nauroth for explanation. At present We have Namenode HA and we are putting data from Flume into this cluster. We are configuring hdfs://mycluster/flume as destination in Flume sink. Whats is the correct way to put data into default HDFS storage (WASB) from Flume and make it accessible from hadoop fs -ls / ? Appreciate help in this.
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