Hi,
Ok so full command now is:
pio train --scratch-uri hdfs://pio-cluster-m/pio -- --executor-memory 4g
--driver-memory 4g --deploy-mode cluster --master yarn
errors stopped after removing –executor-cores 2 --driver-cores 2
I found this error: Uncaught exception:
org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid
resource request, requested virtual cores < 0, or requested virtual cores > max
configured, requestedVirtualCores=4, maxVirtualCores=2
But now I have problem with hbase :/
I have hbase host set:
declare -x PIO_STORAGE_SOURCES_HBASE_HOSTS="pio-gc"
[INFO] [Engine$] EngineWorkflow.train
[INFO] [Engine$] DataSource: com.actionml.DataSource@2fdb4e2e
[INFO] [Engine$] Preparator: com.actionml.Preparator@d257dd4
[INFO] [Engine$] AlgorithmList: List(com.actionml.URAlgorithm@400bbb7)
[INFO] [Engine$] Data sanity check is on.
[ERROR] [StorageClient] HBase master is not running (ZooKeeper ensemble:
pio-cluster-m). Please make sure that HBase is running properly, and that the
configuration is pointing at the correct ZooKeeper ensemble.
[ERROR] [Storage$] Error initializing storage client for source HBASE.
org.apache.hadoop.hbase.MasterNotRunningException:
com.google.protobuf.ServiceException: java.net.UnknownHostException: unknown
host: hbase-master
at
org.apache.hadoop.hbase.client.HConnectionManager$HCoolnnectionImplementation$StubMaker.makeStub(HConnectionManager.java:1645)
at
org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$MasterServiceStubMaker.makeStub(HConnectionManager.java:1671)
at
org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.getKeepAliveMasterService(HConnectionManager.java:1878)
at
org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.isMasterRunning(HConnectionManager.java:894)
at
org.apache.hadoop.hbase.client.HBaseAdmin.checkHBaseAvailable(HBaseAdmin.java:2366)
at
org.apache.predictionio.data.storage.hbase.StorageClient.<init>(StorageClient.scala:53)
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:423)
at
org.apache.predictionio.data.storage.Storage$.getClient(Storage.scala:252)
at
org.apache.predictionio.data.storage.Storage$.org$apache$predictionio$data$storage$Storage$$updateS2CM(Storage.scala:283)
at
org.apache.predictionio.data.storage.Storage$$anonfun$sourcesToClientMeta$1.apply(Storage.scala:244)
at
org.apache.predictionio.data.storage.Storage$$anonfun$sourcesToClientMeta$1.apply(Storage.scala:244)
at
scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
at
org.apache.predictionio.data.storage.Storage$.sourcesToClientMeta(Storage.scala:244)
at
org.apache.predictionio.data.storage.Storage$.getDataObject(Storage.scala:315)
at
org.apache.predictionio.data.storage.Storage$.getPDataObject(Storage.scala:364)
at
org.apache.predictionio.data.storage.Storage$.getPDataObject(Storage.scala:307)
at
org.apache.predictionio.data.storage.Storage$.getPEvents(Storage.scala:454)
at
org.apache.predictionio.data.store.PEventStore$.eventsDb$lzycompute(PEventStore.scala:37)
at
org.apache.predictionio.data.store.PEventStore$.eventsDb(PEventStore.scala:37)
at
org.apache.predictionio.data.store.PEventStore$.find(PEventStore.scala:73)
at com.actionml.DataSource.readTraining(DataSource.scala:76)
at com.actionml.DataSource.readTraining(DataSource.scala:48)
at
org.apache.predictionio.controller.PDataSource.readTrainingBase(PDataSource.scala:40)
at org.apache.predictionio.controller.Engine$.train(Engine.scala:642)
at org.apache.predictionio.controller.Engine.train(Engine.scala:176)
at
org.apache.predictionio.workflow.CoreWorkflow$.runTrain(CoreWorkflow.scala:67)
at
org.apache.predictionio.workflow.CreateWorkflow$.main(CreateWorkflow.scala:251)
at
org.apache.predictionio.workflow.CreateWorkflow.main(CreateWorkflow.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:637)
Caused by: com.google.protobuf.ServiceException: java.net.UnknownHostException:
unknown host: hbase-master
at
org.apache.hadoop.hbase.ipc.RpcClient.callBlockingMethod(RpcClient.java:1678)
at
org.apache.hadoop.hbase.ipc.RpcClient$BlockingRpcChannelImplementation.callBlockingMethod(RpcClient.java:1719)
at
org.apache.hadoop.hbase.protobuf.generated.MasterProtos$MasterService$BlockingStub.isMasterRunning(MasterProtos.java:42561)
at
org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$MasterServiceStubMaker.isMasterRunning(HConnectionManager.java:1682)
at
org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$StubMaker.makeStubNoRetries(HConnectionManager.java:1591)
at
org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$StubMaker.makeStub(HConnectionManager.java:1617)
... 36 more
Caused by: java.net.UnknownHostException: unknown host: hbase-master
at
org.apache.hadoop.hbase.ipc.RpcClient$Connection.<init>(RpcClient.java:385)
at
org.apache.hadoop.hbase.ipc.RpcClient.createConnection(RpcClient.java:351)
at
org.apache.hadoop.hbase.ipc.RpcClient.getConnection(RpcClient.java:1530)
at org.apache.hadoop.hbase.ipc.RpcClient.call(RpcClient.java:1442)
at
org.apache.hadoop.hbase.ipc.RpcClient.callBlockingMethod(RpcClient.java:1661)
... 41 more
From: Ambuj Sharma
Sent: 23 May 2018 08:59
To: [email protected]
Cc: Wojciech Kowalski
Subject: Re: Problem with training in yarn cluster
Hi wojciech,
I also faced many problems while setting yarn with PredictionIO. This may be
the case where yarn is tyring to findout pio.log file on hdfs cluster. You can
try "--master yarn --deploy-mode client ". you need to pass this configuration
with pio train
e.g., pio train -- --master yarn --deploy-mode client
Thanks and Regards
Ambuj Sharma
Sunrise may late, But Morning is sure.....
Team ML
Betaout
On Wed, May 23, 2018 at 4:53 AM, Pat Ferrel <[email protected]> wrote:
Actually you might search the archives for “yarn” because I don’t recall how
the setup works off hand.
Archives here: https://lists.apache.org/[email protected]
Also check the Spark Yarn requirements and remember that `pio train … --
various Spark params` allows you to pass arbitrary Spark params exactly as you
would to spark-submit on the pio command line. The double dash separates PIO
and Spark params.
From: Pat Ferrel <[email protected]>
Reply: [email protected] <[email protected]>
Date: May 22, 2018 at 4:07:38 PM
To: [email protected] <[email protected]>, Wojciech
Kowalski <[email protected]>
Subject: RE: Problem with training in yarn cluster
What is the command line for `pio train …` Specifically are you using
yarn-cluster mode? This causes the driver code, which is a PIO process, to be
executed on an executor. Special setup is required for this.
From: Wojciech Kowalski <[email protected]>
Reply: [email protected] <[email protected]>
Date: May 22, 2018 at 2:28:43 PM
To: [email protected] <[email protected]>
Subject: RE: Problem with training in yarn cluster
Hello,
Actually I have another error in logs that is actually preventing train as well:
[INFO] [RecommendationEngine$]
_ _ __ __ _
/\ | | (_) | \/ | |
/ \ ___| |_ _ ___ _ __ | \ / | |
/ /\ \ / __| __| |/ _ \| '_ \| |\/| | |
/ ____ \ (__| |_| | (_) | | | | | | | |____
/_/ \_\___|\__|_|\___/|_| |_|_| |_|______|
[INFO] [Engine] Extracting datasource params...
[INFO] [WorkflowUtils$] No 'name' is found. Default empty String will be used.
[INFO] [Engine] Datasource params: (,DataSourceParams(shop_live,List(purchase,
basket-add, wishlist-add, view),None,None))
[INFO] [Engine] Extracting preparator params...
[INFO] [Engine] Preparator params: (,Empty)
[INFO] [Engine] Extracting serving params...
[INFO] [Engine] Serving params: (,Empty)
[INFO] [log] Logging initialized @6774ms
[INFO] [Server] jetty-9.2.z-SNAPSHOT
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@1798eb08{/jobs,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@47c4c3cd{/jobs/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@3e080dea{/jobs/job,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@c75847b{/jobs/job/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@5ce5ee56{/stages,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@3dde94ac{/stages/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@4347b9a0{/stages/stage,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@63b1bbef{/stages/stage/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@10556e91{/stages/pool,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@5967f3c3{/stages/pool/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@2793dbf6{/storage,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@49936228{/storage/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@7289bc6d{/storage/rdd,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@1496b014{/storage/rdd/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@2de3951b{/environment,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@7f3330ad{/environment/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@40e681f2{/executors,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@61519fea{/executors/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@502b9596{/executors/threadDump,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@367b7166{/executors/threadDump/json,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@42669f4a{/static,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@2f25f623{/,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@23ae4174{/api,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@4e33e426{/jobs/job/kill,null,AVAILABLE,@Spark}
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@38d9ae65{/stages/stage/kill,null,AVAILABLE,@Spark}
[INFO] [ServerConnector] Started Spark@17239b3{HTTP/1.1}{0.0.0.0:47948}
[INFO] [Server] Started @7040ms
[INFO] [ContextHandler] Started
o.s.j.s.ServletContextHandler@16cffbe4{/metrics/json,null,AVAILABLE,@Spark}
[WARN] [YarnSchedulerBackend$YarnSchedulerEndpoint] Attempted to request
executors before the AM has registered!
[ERROR] [ApplicationMaster] Uncaught exception:
Thanks,
Wojciech
From: Wojciech Kowalski
Sent: 22 May 2018 23:20
To: [email protected]
Subject: Problem with training in yarn cluster
Hello, I am trying to setup distributed cluster with separate all services but
i have problem while running train:
log4j:ERROR setFile(null,true) call failed.
java.io.FileNotFoundException: /pio/pio.log (No such file or directory)
at java.io.FileOutputStream.open0(Native Method)
at java.io.FileOutputStream.open(FileOutputStream.java:270)
at java.io.FileOutputStream.<init>(FileOutputStream.java:213)
at java.io.FileOutputStream.<init>(FileOutputStream.java:133)
at org.apache.log4j.FileAppender.setFile(FileAppender.java:294)
at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165)
at
org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307)
at
org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172)
at
org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104)
at
org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:842)
at
org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:768)
at
org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:648)
at
org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:514)
at
org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:580)
at
org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526)
at org.apache.log4j.LogManager.<clinit>(LogManager.java:127)
at
org.apache.spark.internal.Logging$class.initializeLogging(Logging.scala:117)
at
org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:102)
at
org.apache.spark.deploy.yarn.ApplicationMaster$.initializeLogIfNecessary(ApplicationMaster.scala:738)
at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
at
org.apache.spark.deploy.yarn.ApplicationMaster$.log(ApplicationMaster.scala:738)
at
org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:753)
at
org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
setup:
hbase
Hadoop
Hdfs
Spark cluster with yarn
Training in cluster mode
I assume spark worker is trying to save log to /pio/pio.log on worker machine
instead of pio host. How can I set pio destination to hdfs path ?
Or any other advice ?
Thanks,
Wojciech
