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| Title | Views | Posted |
|---|---|---|
| 2457 | 06-13-2017 02:52 AM | |
| 6268 | 02-10-2017 11:33 AM |
06-12-2017
01:40 AM
Hi,Team.When I run a program on a spark cluster to save RDD to phoenix, I always report this error. as follows: 17/06/12 09:35:46 ERROR kerberos.SaveAsPhoenixApp$: save to phoenix error :java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.phoenix.mapreduce.PhoenixOutputFormat not found
java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.phoenix.mapreduce.PhoenixOutputFormat not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2199)
at org.apache.hadoop.mapreduce.task.JobContextImpl.getOutputFormatClass(JobContextImpl.java:232)
at org.apache.spark.rdd.PairRDDFunctions$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1083)
at org.apache.spark.rdd.PairRDDFunctions$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1074)
at org.apache.spark.rdd.PairRDDFunctions$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1074)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1074)
at org.apache.spark.rdd.PairRDDFunctions$anonfun$saveAsNewAPIHadoopFile$2.apply$mcV$sp(PairRDDFunctions.scala:994)
at org.apache.spark.rdd.PairRDDFunctions$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:985)
at org.apache.spark.rdd.PairRDDFunctions$anonfun$saveAsNewAPIHadoopFile$2.apply(PairRDDFunctions.scala:985)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:985)
at org.apache.phoenix.spark.ProductRDDFunctions.saveToPhoenix(ProductRDDFunctions.scala:51)
at com.yjf.phoenix.kerberos.SaveAsPhoenixApp$.saveRDDToPhoenixSIMPLELOG(SaveAsPhoenixApp.scala:144)
at com.yjf.phoenix.kerberos.SaveAsPhoenixApp$.saveAsphoenixProcess(SaveAsPhoenixApp.scala:93)
at com.yjf.phoenix.kerberos.SaveAsPhoenixApp$.main(SaveAsPhoenixApp.scala:156)
at com.yjf.phoenix.kerberos.SaveAsPhoenixApp.main(SaveAsPhoenixApp.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:497)
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.lang.ClassNotFoundException: Class org.apache.phoenix.mapreduce.PhoenixOutputFormat not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2105)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2197)
... 29 more
Ask for help, thank you very much!
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Labels:
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Apache Phoenix
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Apache Spark
03-10-2017
02:31 AM
This question bothers me for 2 days! ：）
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03-10-2017
02:30 AM
Hi,Dale Bradman，I have the same mistakes as you, do you ask? Can you help me? Thank you!
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03-09-2017
06:44 PM
Hi,Vivian ,Please help me, thank you! This question bothers me for 3 days!
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03-09-2017
01:18 AM
Hi,Romainr,your problem solved? I have not solved yet. Help me! Thank you!
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03-09-2017
01:16 AM
Hi,Vivian,My friend, your problem solved? I have not solved yet. Help me! Thank you!
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02-27-2017
05:29 AM
Hi,@Mohamed Ashiq I have the same question, may I ask you to solve this problem? Thank you!
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02-13-2017
08:10 PM
Thank you, you are right, when I create a kadmin user on each linux machine, you can successfully submit the task!
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02-10-2017
11:33 AM
My problem is solved！ Thank you, spark submitted tasks, I do not need certification of the cluster, but the need for the implementation of the spark machine! Therefore, I need to remove these two parameters: spark-submit \
--class org.apache.spark.examples.SparkPi \
--master yarn-client \
--executor-memory 1G \
--num-executors 1 \
--num-executors 2 \
--driver-memory 1g \
--executor-cores 1 \
#--principal kadmin/admin@NGAA.COM \
#--keytab /home/test/sparktest/princpal/sparkjob.keytab \
/opt/cloudera/parcels/CDH/lib/spark/lib/spark-examples.jar 12
Submit again to succeed! 17/02/10 16:18:33 INFO spark.SparkContext: Running Spark version 1.6.0
17/02/10 16:18:34 INFO spark.SecurityManager: Changing view acls to: root,hdfs
17/02/10 16:18:34 INFO spark.SecurityManager: Changing modify acls to: root,hdfs
17/02/10 16:18:34 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root, hdfs); users with modify permissions: Set(root, hdfs)
17/02/10 16:18:34 INFO util.Utils: Successfully started service 'sparkDriver' on port 53300.
17/02/10 16:18:35 INFO slf4j.Slf4jLogger: Slf4jLogger started
17/02/10 16:18:35 INFO Remoting: Starting remoting
17/02/10 16:18:35 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriverActorSystem@10.10.100.53:59243]
17/02/10 16:18:35 INFO Remoting: Remoting now listens on addresses: [akka.tcp://sparkDriverActorSystem@10.10.100.53:59243]
17/02/10 16:18:35 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 59243.
17/02/10 16:18:35 INFO spark.SparkEnv: Registering MapOutputTracker
17/02/10 16:18:35 INFO spark.SparkEnv: Registering BlockManagerMaster
17/02/10 16:18:35 INFO storage.DiskBlockManager: Created local directory at /tmp/blockmgr-1521d8d2-ce43-4c6e-8068-af08ed953b77
17/02/10 16:18:35 INFO storage.MemoryStore: MemoryStore started with capacity 530.3 MB
17/02/10 16:18:35 INFO spark.SparkEnv: Registering OutputCommitCoordinator
17/02/10 16:18:36 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
17/02/10 16:18:36 INFO ui.SparkUI: Started SparkUI at http://10.10.100.53:4040
17/02/10 16:18:36 INFO spark.SparkContext: Added JAR file:/opt/cloudera/parcels/CDH/lib/spark/lib/spark-examples.jar at spark://10.10.100.53:53300/jars/spark-examples.jar with timestamp 1486714716370
17/02/10 16:18:36 INFO client.RMProxy: Connecting to ResourceManager at hadoop1/10.10.100.51:8032
17/02/10 16:18:37 INFO yarn.Client: Requesting a new application from cluster with 4 NodeManagers
17/02/10 16:18:37 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
17/02/10 16:18:37 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
17/02/10 16:18:37 INFO yarn.Client: Setting up container launch context for our AM
17/02/10 16:18:37 INFO yarn.Client: Setting up the launch environment for our AM container
17/02/10 16:18:37 INFO yarn.Client: Preparing resources for our AM container
17/02/10 16:18:38 INFO yarn.YarnSparkHadoopUtil: getting token for namenode: hdfs://hadoop2:8020/user/hdfs/.sparkStaging/application_1486705141135_0008
17/02/10 16:18:38 INFO hdfs.DFSClient: Created HDFS_DELEGATION_TOKEN token 52 for hdfs on 10.10.100.52:8020
17/02/10 16:18:39 INFO hive.metastore: Trying to connect to metastore with URI thrift://hadoop1:9083
17/02/10 16:18:39 INFO hive.metastore: Opened a connection to metastore, current connections: 1
17/02/10 16:18:39 INFO hive.metastore: Connected to metastore.
17/02/10 16:18:39 INFO hive.metastore: Closed a connection to metastore, current connections: 0
17/02/10 16:18:39 INFO yarn.Client: Uploading resource file:/tmp/spark-f6434659-beb9-437c-b233-8667c48702b9/__spark_conf__2828602694267011736.zip -> hdfs://hadoop2:8020/user/hdfs/.sparkStaging/application_1486705141135_0008/__spark_conf__2828602694267011736.zip
17/02/10 16:18:40 INFO spark.SecurityManager: Changing view acls to: root,hdfs
17/02/10 16:18:40 INFO spark.SecurityManager: Changing modify acls to: root,hdfs
17/02/10 16:18:40 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root, hdfs); users with modify permissions: Set(root, hdfs)
17/02/10 16:18:40 INFO yarn.Client: Submitting application 8 to ResourceManager
17/02/10 16:18:40 INFO impl.YarnClientImpl: Submitted application application_1486705141135_0008
17/02/10 16:18:41 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:41 INFO yarn.Client:
client token: Token { kind: YARN_CLIENT_TOKEN, service: }
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: root.users.hdfs
start time: 1486714720230
final status: UNDEFINED
tracking URL: http://hadoop1:8088/proxy/application_1486705141135_0008/
user: hdfs
17/02/10 16:18:42 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:43 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:44 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:45 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:46 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:47 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:48 INFO yarn.Client: Application report for application_1486705141135_0008 (state: ACCEPTED)
17/02/10 16:18:48 INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
17/02/10 16:18:48 INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> hadoop1, PROXY_URI_BASES -> http://hadoop1:8088/proxy/application_1486705141135_0008), /proxy/application_1486705141135_0008
17/02/10 16:18:48 INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
17/02/10 16:18:49 INFO yarn.Client: Application report for application_1486705141135_0008 (state: RUNNING)
17/02/10 16:18:49 INFO yarn.Client:
client token: Token { kind: YARN_CLIENT_TOKEN, service: }
diagnostics: N/A
ApplicationMaster host: 10.10.100.53
ApplicationMaster RPC port: 0
queue: root.users.hdfs
start time: 1486714720230
final status: UNDEFINED
tracking URL: http://hadoop1:8088/proxy/application_1486705141135_0008/
user: hdfs
17/02/10 16:18:49 INFO cluster.YarnClientSchedulerBackend: Application application_1486705141135_0008 has started running.
17/02/10 16:18:49 INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 47910.
17/02/10 16:18:49 INFO netty.NettyBlockTransferService: Server created on 47910
17/02/10 16:18:49 INFO storage.BlockManager: external shuffle service port = 7337
17/02/10 16:18:49 INFO storage.BlockManagerMaster: Trying to register BlockManager
17/02/10 16:18:49 INFO storage.BlockManagerMasterEndpoint: Registering block manager 10.10.100.53:47910 with 530.3 MB RAM, BlockManagerId(driver, 10.10.100.53, 47910)
17/02/10 16:18:49 INFO storage.BlockManagerMaster: Registered BlockManager
17/02/10 16:18:49 INFO scheduler.EventLoggingListener: Logging events to hdfs://hadoop2:8020/user/spark/applicationHistory/application_1486705141135_0008
17/02/10 16:18:49 WARN spark.SparkContext: Dynamic Allocation and num executors both set, thus dynamic allocation disabled.
17/02/10 16:18:58 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (hadoop4:49020) with ID 1
17/02/10 16:18:58 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop4:48173 with 530.3 MB RAM, BlockManagerId(1, hadoop4, 48173)
17/02/10 16:19:01 INFO cluster.YarnClientSchedulerBackend: Registered executor NettyRpcEndpointRef(null) (hadoop2:52352) with ID 2
17/02/10 16:19:01 INFO cluster.YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.8
17/02/10 16:19:01 INFO storage.BlockManagerMasterEndpoint: Registering block manager hadoop2:39922 with 530.3 MB RAM, BlockManagerId(2, hadoop2, 39922)
17/02/10 16:19:01 INFO spark.SparkContext: Starting job: reduce at SparkPi.scala:36
17/02/10 16:19:01 INFO scheduler.DAGScheduler: Got job 0 (reduce at SparkPi.scala:36) with 12 output partitions
17/02/10 16:19:01 INFO scheduler.DAGScheduler: Final stage: ResultStage 0 (reduce at SparkPi.scala:36)
17/02/10 16:19:01 INFO scheduler.DAGScheduler: Parents of final stage: List()
17/02/10 16:19:01 INFO scheduler.DAGScheduler: Missing parents: List()
17/02/10 16:19:01 INFO scheduler.DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:32), which has no missing parents
17/02/10 16:19:01 INFO storage.MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1904.0 B, free 1904.0 B)
17/02/10 16:19:02 INFO storage.MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 1202.0 B, free 3.0 KB)
17/02/10 16:19:02 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on 10.10.100.53:47910 (size: 1202.0 B, free: 530.3 MB)
17/02/10 16:19:02 INFO spark.SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1006
17/02/10 16:19:02 INFO scheduler.DAGScheduler: Submitting 12 missing tasks from ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:32)
17/02/10 16:19:02 INFO cluster.YarnScheduler: Adding task set 0.0 with 12 tasks
17/02/10 16:19:02 INFO scheduler.TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, hadoop2, partition 0,PROCESS_LOCAL, 2034 bytes)
17/02/10 16:19:02 INFO scheduler.TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, hadoop4, partition 1,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:03 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on hadoop4:48173 (size: 1202.0 B, free: 530.3 MB)
17/02/10 16:19:04 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in memory on hadoop2:39922 (size: 1202.0 B, free: 530.3 MB)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 2.0 in stage 0.0 (TID 2, hadoop4, partition 2,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 2231 ms on hadoop4 (1/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 3.0 in stage 0.0 (TID 3, hadoop2, partition 3,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 4.0 in stage 0.0 (TID 4, hadoop4, partition 4,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 2369 ms on hadoop2 (2/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 2.0 in stage 0.0 (TID 2) in 127 ms on hadoop4 (3/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 5.0 in stage 0.0 (TID 5, hadoop2, partition 5,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 3.0 in stage 0.0 (TID 3) in 108 ms on hadoop2 (4/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 6.0 in stage 0.0 (TID 6, hadoop4, partition 6,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 4.0 in stage 0.0 (TID 4) in 114 ms on hadoop4 (5/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 7.0 in stage 0.0 (TID 7, hadoop2, partition 7,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 5.0 in stage 0.0 (TID 5) in 85 ms on hadoop2 (6/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 8.0 in stage 0.0 (TID 8, hadoop4, partition 8,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 6.0 in stage 0.0 (TID 6) in 103 ms on hadoop4 (7/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 9.0 in stage 0.0 (TID 9, hadoop2, partition 9,PROCESS_LOCAL, 2036 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 7.0 in stage 0.0 (TID 7) in 89 ms on hadoop2 (8/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 10.0 in stage 0.0 (TID 10, hadoop4, partition 10,PROCESS_LOCAL, 2039 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Starting task 11.0 in stage 0.0 (TID 11, hadoop2, partition 11,PROCESS_LOCAL, 2040 bytes)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 8.0 in stage 0.0 (TID 8) in 109 ms on hadoop4 (9/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 9.0 in stage 0.0 (TID 9) in 83 ms on hadoop2 (10/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 10.0 in stage 0.0 (TID 10) in 90 ms on hadoop4 (11/12)
17/02/10 16:19:04 INFO scheduler.TaskSetManager: Finished task 11.0 in stage 0.0 (TID 11) in 77 ms on hadoop2 (12/12)
17/02/10 16:19:04 INFO scheduler.DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:36) finished in 2.695 s
17/02/10 16:19:04 INFO cluster.YarnScheduler: Removed TaskSet 0.0, whose tasks have all completed, from pool
17/02/10 16:19:04 INFO scheduler.DAGScheduler: Job 0 finished: reduce at SparkPi.scala:36, took 3.293783 s
Pi is roughly 3.1438333333333333
17/02/10 16:19:05 INFO ui.SparkUI: Stopped Spark web UI at http://10.10.100.53:4040
17/02/10 16:19:05 INFO cluster.YarnClientSchedulerBackend: Shutting down all executors
17/02/10 16:19:05 INFO cluster.YarnClientSchedulerBackend: Interrupting monitor thread
17/02/10 16:19:05 INFO cluster.YarnClientSchedulerBackend: Asking each executor to shut down
17/02/10 16:19:05 INFO cluster.YarnClientSchedulerBackend: Stopped
17/02/10 16:19:05 INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/02/10 16:19:05 INFO storage.MemoryStore: MemoryStore cleared
17/02/10 16:19:05 INFO storage.BlockManager: BlockManager stopped
17/02/10 16:19:05 INFO storage.BlockManagerMaster: BlockManagerMaster stopped
17/02/10 16:19:05 INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/02/10 16:19:05 INFO spark.SparkContext: Successfully stopped SparkContext
17/02/10 16:19:05 INFO remote.RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
17/02/10 16:19:05 INFO util.ShutdownHookManager: Shutdown hook called
17/02/10 16:19:05 INFO util.ShutdownHookManager: Deleting directory /tmp/spark-f6434659-beb9-437c-b233-8667c48702b9
17/02/10 16:19:05 INFO remote.RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
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