I'm trying to deploy ignite so that I can use the shared RDD/Dataframe cache for my spark cluster. I've followed the spark install instructions and choose to deploy into my existing yarn cluster running spark. I'm using HDP to deploy spark.
I've already verified that Resource Manager and History server are listening on the ports below and I can telnet to each port. What am I doing wrong? Am I not deploying this the way it is intended?
I'm running:
yarn jar ignite-yarn-2.6.0.jar ./ignite-yarn-2.6.0.jar ../../../cluster.properties
Error below:
18/09/24 22:13:38 INFO client.RMProxy: Connecting to ResourceManager at dev01clus02.dna.local/172.31.31.5:8050
18/09/24 22:13:38 INFO client.AHSProxy: Connecting to Application History server at dev01clus02.dna.local/172.31.31.5:10200
Exception in thread "main" java.lang.RuntimeException: Failed update ignite.
at org.apache.ignite.yarn.IgniteProvider.updateIgnite(IgniteProvider.java:243)
at org.apache.ignite.yarn.IgniteProvider.getIgnite(IgniteProvider.java:93)
at org.apache.ignite.yarn.IgniteYarnClient.getIgnite(IgniteYarnClient.java:194)
at org.apache.ignite.yarn.IgniteYarnClient.main(IgniteYarnClient.java:84)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:233)
at org.apache.hadoop.util.RunJar.main(RunJar.java:148)
Caused by: java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:209)
at java.net.SocketInputStream.read(SocketInputStream.java:141)
at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:286)
at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
at sun.net.www.http.HttpClient.parseHTTPHeader(HttpClient.java:704)
at sun.net.www.http.HttpClient.parseHTTP(HttpClient.java:647)
at sun.net.www.http.HttpClient.parseHTTP(HttpClient.java:675)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1569)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1474)
at java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480)
at org.apache.ignite.yarn.IgniteProvider.updateIgnite(IgniteProvider.java:220)
... 9 more
It looks like a piece of insfrastructure, provided by GridGain for Apache Ignite project, does not work currently. I'll raise the issue.
In the meantime, you can provide IGNITE_PATH property (in config, system properties or env) pointed to unzipped Apache Ignite 2.6 distribution directory to avoid downloading attempts altogether.
Related
I'm trying to issue spark submit from Azure Databricks jobs scheduler, currently stuck with the below error. Error says: File file:/tmp/spark-events does not exist. I need some pointers to understand do we need to create this directory in Azure blob location(which is my storage Layer) or in Azure DBFS location.
As per the below link, not so clear where to create the directory when running the spark-submit from Azure Databricks jobs scheduler.
SparkContext Error - File not found /tmp/spark-events does not exist
Error:
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=512m; support was removed in 8.0
Warning: Ignoring non-Spark config property: eventLog.rolloverIntervalSeconds
Exception in thread "main" java.lang.ExceptionInInitializerError
at com.dta.dl.ct.qm.hbase.reverse.pipeline.HBaseVehicleMasterLoad.main(HBaseVehicleMasterLoad.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:845)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:161)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:184)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.FileNotFoundException: File file:/tmp/spark-events does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.spark.scheduler.EventLoggingListener.start(EventLoggingListener.scala:97)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:580)
at com.dta.dl.ct.qm.hbase.reverse.pipeline.HBaseVehicleMasterLoad$.<init>(HBaseVehicleMasterLoad.scala:32)
at com.dta.dl.ct.qm.hbase.reverse.pipeline.HBaseVehicleMasterLoad$.<clinit>(HBaseVehicleMasterLoad.scala)
... 13 more
You need to create this folder on the driver node before collecting event logs (that's by design).
To do so, one way could be adding the property spark.history.fs.logDirectory (present at the spark-defaults.conf file) on a global init script as described here.
Please make sure that the folder defined on that property exist and can be accessed from the driver node
I'm trying to launch a cluster using AWS Cli. I use the following command:
aws emr create-cluster --name "Config1" --release-label emr-5.0.0 --applications Name=Spark --use-default-role --log-uri 's3://aws-logs-813591802533-us-west-2/elasticmapreduce/' --instance-groups InstanceGroupType=MASTER,InstanceCount=1,InstanceType=m1.medium InstanceGroupType=CORE,InstanceCount=2,InstanceType=m1.medium
The cluster is created successfully. Then I add this command:
aws emr add-steps --cluster-id ID_CLUSTER --region us-west-2 --steps Name=SparkSubmit,Jar="command-runner.jar",Args=[spark-submit,--deploy-mode,cluster,--master,yarn,--executor-memory,1G,--class,Traccia2014,s3://tracceale/params/scalaProgram.jar,s3://tracceale/params/configS3.txt,30,300,2,"s3a://tracceale/Tempi1"],ActionOnFailure=CONTINUE
After some time, the step failed. This is the LOG file:
17/02/22 11:00:07 INFO RMProxy: Connecting to ResourceManager at ip-172-31- 31-190.us-west-2.compute.internal/172.31.31.190:8032
17/02/22 11:00:08 INFO Client: Requesting a new application from cluster with 2 NodeManagers
17/02/22 11:00:08 INFO Client: Verifying our application has not requested
Exception in thread "main" org.apache.spark.SparkException: Application application_1487760984275_0001 finished with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1132)
at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1175)
at org.apache.spark.deploy.yarn.Client.main(Client.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
17/02/22 11:01:02 INFO ShutdownHookManager: Shutdown hook called
17/02/22 11:01:02 INFO ShutdownHookManager: Deleting directory /mnt/tmp/spark-27baeaa9-8b3a-4ae6-97d0-abc1d3762c86
Command exiting with ret '1'
Locally (on SandBox Hortonworks HDP 2.5) I run:
./spark-submit --class Traccia2014 --master local[*] --executor-memory 2G /usr/hdp/current/spark2-client/ScalaProjects/ScripRapportoBatch2.1/target/scala-2.11/traccia-22-ottobre_2.11-1.0.jar "/home/tracce/configHDFS.txt" 30 300 3
and everything works fine.
I've already read something related to my problem, but I can't figure it out.
UPDATE
Checked into Application Master, I get this error:
17/02/22 15:29:54 ERROR ApplicationMaster: User class threw exception: java.io.FileNotFoundException: s3:/tracceale/params/configS3.txt (No such file or directory)
at java.io.FileInputStream.open0(Native Method)
at java.io.FileInputStream.open(FileInputStream.java:195)
at java.io.FileInputStream.<init>(FileInputStream.java:138)
at scala.io.Source$.fromFile(Source.scala:91)
at scala.io.Source$.fromFile(Source.scala:76)
at scala.io.Source$.fromFile(Source.scala:54)
at Traccia2014$.main(Rapporto.scala:40)
at Traccia2014.main(Rapporto.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:627)
17/02/22 15:29:55 INFO ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw exception: java.io.FileNotFoundException: s3:/tracceale/params/configS3.txt (No such file or directory))
I pass the path mentioned "s3://tracceale/params/configS3.txt" from S3 to the function 'fromFile' like this:
for(line <- scala.io.Source.fromFile(logFile).getLines())
How could I solve it? Thanks in advance.
Because you are using cluster deploy mode, the logs you have included are not useful at all. They just say that the application failed but not why it failed. To figure out why it failed, you at least need to look at the Application Master logs, since that is where the Spark driver runs in cluster deploy mode, and it will probably give a better hint as to why the application failed.
Since you have configured your cluster with a --log-uri, you will find the logs for the Application Master underneath s3://aws-logs-813591802533-us-west-2/elasticmapreduce/<CLUSTER ID>/containers/<YARN Application ID>/ where the YARN Application ID is (based on the logs you included above) application_1487760984275_0001, and the container ID should be something like container_1487760984275_0001_01_000001. (The first container for an application is the Application Master.)
What you have there is a URL to an object store, reachable from the Hadoop filesystem APIs, and a stack trace coming from java.io.File, which can't read it because it doesn't refer to anything in the local disk.
Use SparkContext.hadoopRDD() as the operation to convert the path into an RDD
There is a probability of file missing in the location, may be you can see it after ssh into EMR cluster but still the steps command wouldn't be able to figure out by itself and starts throwing that file not found exception.
In this scenario what I did is :
Step 1: Checked for the file existence in the project directory which we copied to EMR.
for example mine was in `//usr/local/project_folder/`
Step 2: Copy the script which you're expecting to run on the EMR.
for example I copied from `//usr/local/project_folder/script_name.sh` to `/home/hadoop/`
Step 3: Then executed the script from /home/hadoop/ by passing the absolute path to the command-runner.jar
command-runner.jar bash /home/hadoop/script_name.sh
Thus I found my script running. Hope this may be helpful to someone
I'm trying to run a spark job with yarn using:
./bin/spark-submit --class "KafkaToMaprfs" --master yarn --deploy-mode client /home/mapr/kafkaToMaprfs/target/scala-2.10/KafkaToMaprfs.jar
But facing this error:
/opt/mapr/hadoop/hadoop-2.7.0 17/01/03 11:19:26 WARN NativeCodeLoader:
Unable to load native-hadoop library for your platform... using
builtin-java classes where applicable 17/01/03 11:19:38 ERROR
SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Yarn application has already ended!
It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.(SparkContext.scala:530)
at KafkaToMaprfs$.main(KafkaToMaprfs.scala:61)
at KafkaToMaprfs.main(KafkaToMaprfs.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$$runMain(SparkSubmit.scala:752)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 17/01/03 11:19:39 WARN MetricsSystem: Stopping a MetricsSystem that is
not running Exception in thread "main"
org.apache.spark.SparkException: Yarn application has already ended!
It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.(SparkContext.scala:530)
at KafkaToMaprfs$.main(KafkaToMaprfs.scala:61)
at KafkaToMaprfs.main(KafkaToMaprfs.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:752)
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)
I have a multi node cluster, i'm deploying the application from a remote node.
I'm using spark 1.6.1 and hadoop 2.7.x versions.
I didn't set the cluster, so I couldn't find where the mistake lies.
Can anyone please help me fix this?
In my case i'm using MapR distribution.And i didn't configure the environment.
So, when i dug down to the all the conf folders.I made some changes in the below files,
1. In Spark-env.sh,Make sure these values are set right.
export SPARK_LOG_DIR=
export SPARK_PID_DIR=
export HADOOP_HOME=
export HADOOP_CONF_DIR=
export JAVA_HOME=
export SPARK_SUBMIT_OPTIONS=
2. yarn-env.sh.
Make sure the yarn_conf_dir, and java_home are set with correct values.
3. In spark-defaults.conf
1.spark.driver.extraClassPath
2.set value for HADOOP_CONF_DIR
4. HADOOP_CONF_DIR and JAVA_HOME in $SPARK_HOME/conf/spark-env.sh
1.export HADOOP_CONF_DIR=/opt/mapr/hadoop/hadoop-2.7.0/etc/hadoop
2.export JAVA_HOME =
5.spark assembly jar
1.Copy the following JAR file from the local file system to a world-readable location on MapR-FS: Substitute your Spark version and
specific JAR file name in the command.
/opt/mapr/spark/spark-/lib/spark-assembly--hadoop-mapr-.jar
Now i'm able to run my spark application as YARN-CLIENT smoothly using spark-submit.
These are basic essentials to make spark connect with yarn.
Correct me if i missed any other things.
For analysis of node in Apache ignite, I am using monitoring tool at [1] : https://console.gridgain.com/. I tried running ignite-web-agent.sh for making connection with web server at link above, but I am getting following error messege. I also tried replacing localhost with IP address of machine, but still it is not working. While running ignite node do I have to start ignite REST server for connection? If yes then how can I enable this REST server mode through java code?
ignite-web-agent-1.7.2]$ . ignite-web-agent.sh
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=256m; support was removed in 8.0
[12:58:13,881][INFO ][main][AgentLauncher] Starting Apache Ignite Web Console Agent...
Agent configuration:
User's security tokens : ****************Fq3q
URI to Ignite node REST server: http://localhost:8080
URI to Ignite Console server : https://console.gridgain.com:3002
Path to agent property file : default.properties
Path to JDBC drivers folder : /home/rishikesh/ignite-web-agent-1.7.2/jdbc-drivers
[12:58:14,318][INFO ][EventThread][AgentLauncher] Connecting to: https://console.gridgain.com:3002
[12:58:34,314][ERROR][EventThread][AgentLauncher] Connection error.
io.socket.client.SocketIOException: timeout
at io.socket.client.Manager$1$4$1.run(Manager.java:312)
at io.socket.thread.EventThread$2.run(EventThread.java:75)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
[12:58:37,304][INFO ][EventThread][AgentLauncher] Connecting to: https://console.gridgain.com:3002
[12:58:53,744][ERROR][EventThread][AgentLauncher] Connection error.
io.socket.engineio.client.EngineIOException: xhr poll error
at io.socket.engineio.client.Transport.onError(Transport.java:64)
at io.socket.engineio.client.transports.PollingXHR.access$100(PollingXHR.java:18)
at io.socket.engineio.client.transports.PollingXHR$6$1.run(PollingXHR.java:126)
at io.socket.thread.EventThread$2.run(EventThread.java:75)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.UnknownHostException: console.gridgain.com
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:422)
at sun.net.www.protocol.http.HttpURLConnection$10.run(HttpURLConnection.java:1890)
at sun.net.www.protocol.http.HttpURLConnection$10.run(HttpURLConnection.java:1885)
at java.security.AccessController.doPrivileged(Native Method)
at sun.net.www.protocol.http.HttpURLConnection.getChainedException(HttpURLConnection.java:1884)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1457)
at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1441)
at java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480)
at sun.net.www.protocol.https.HttpsURLConnectionImpl.getResponseCode(HttpsURLConnectionImpl.java:338)
at io.socket.engineio.client.transports.PollingXHR$Request$1.run(PollingXHR.java:214)
... 1 more
Web agent can't resolve console.gridgain.com
try to change 'URI to Ignite Console server' in /home/rishikesh/ignite-web-agent-1.7.2/default.properties please replace:
server-uri=https://console.gridgain.com:3002
to:
server-uri=https://104.197.2.239:3002
To enable REST module move ignite-rest-http folder from lib/optional/ to lib/ in binary distribution or add following dependence to your maven project:
<dependency>
<groupId>org.apache.ignite</groupId>
<artifactId>ignite-rest-http/artifactId>
<version>${ignite.version}</version>
</dependency>
I am trying to use AWS EMR (emr-4.3.0) Spark 1.6.0, Hadoop 2.7.0
I created EMR cluster, and added Step(in AWS ERM web) with my sample jar.
It's SpringBoot application and written by Java(1.8) (I installed JDK8 in the box)
It run with following command
hadoop jar /var/lib/aws/emr/step-runner/hadoop-jars/command-runner.jar spark-submit --deploy-mode cluster --class org.springframework.boot.loader.JarLauncher s3://my-test/SparkForSpring-S1.2014.jar
I created SparkContext as following code.
SparkConf conf = new SparkConf().setAppName("SparkForSpring");
return new JavaSparkContext(conf);
but it fails with following error, I feel like it's something like not related to my application, I am new to Spark, Yarn though.
Caused by: org.springframework.beans.factory.BeanDefinitionStoreException: Factory method [public org.apache.spark.api.java.JavaSparkContext com.pivotal.demo.spark.rocket.rdd.SparkConfig.javaSparkContext()] threw exception; nested exception is java.io.IOException: Incomplete HDFS URI, no host: hdfs:///var/log/spark/apps
at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:188)
at org.springframework.beans.factory.support.ConstructorResolver.instantiateUsingFactoryMethod(ConstructorResolver.java:586)
... 49 more
Caused by: java.io.IOException: Incomplete HDFS URI, no host: hdfs:///var/log/spark/apps
at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:143)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2653)
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$Cache.get(FileSystem.java:2669)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371)
at org.apache.spark.util.Utils$.getHadoopFileSystem(Utils.scala:1650)
at org.apache.spark.scheduler.EventLoggingListener.<init>(EventLoggingListener.scala:66)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:547)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at com.pivotal.demo.spark.rocket.rdd.SparkConfig.javaSparkContext(SparkConfig.java:35)
at com.pivotal.demo.spark.rocket.rdd.SparkConfig$$EnhancerBySpringCGLIB$$82429e1b.CGLIB$javaSparkContext$0(<generated>)
at com.pivotal.demo.spark.rocket.rdd.SparkConfig$$EnhancerBySpringCGLIB$$82429e1b$$FastClassBySpringCGLIB$$10b15a77.invoke(<generated>)
at org.springframework.cglib.proxy.MethodProxy.invokeSuper(MethodProxy.java:228)
at org.springframework.context.annotation.ConfigurationClassEnhancer$BeanMethodInterceptor.intercept(ConfigurationClassEnhancer.java:312)
at com.pivotal.demo.spark.rocket.rdd.SparkConfig$$EnhancerBySpringCGLIB$$82429e1b.javaSparkContext(<generated>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:483)
at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:166)
... 50 more
I read some document but quite not sure what should I do to fix this error. A hint will be greatly helpful.
http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/emr-plan-file-systems.html
I solved this problem by not using SpringBoot's executable jar rather I use maven shade plugin to package only spring related jar files in one jar and using system classloader. Here is full pom.xml
I got a hint from this question's answer
apache-spark 1.3.0 and yarn integration and spring-boot as a container