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]> <[email protected]> Reply: [email protected] <[email protected]> <[email protected]> Date: May 22, 2018 at 4:07:38 PM To: [email protected] <[email protected]> <[email protected]>, Wojciech Kowalski <[email protected]> <[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]> <[email protected]> Reply: [email protected] <[email protected]> <[email protected]> Date: May 22, 2018 at 2:28:43 PM To: [email protected] <[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$YarnSchedulerEndpoint] Attempted to request executors before the AM has registered! [ERROR] [ApplicationMaster] Uncaught exception: Thanks, Wojciech *From: *Wojciech Kowalski <[email protected]> *Sent: *22 May 2018 23:20 *To: *[email protected] *Subject: *Problem with training in yarn cluster Hello, I am trying to setup distributed cluster with separate all services but i have problem while running train: log4j:ERROR setFile(null,true) call failed. java.io.FileNotFoundException: /pio/pio.log (No such file or directory) at java.io.FileOutputStream.open0(Native Method) at java.io.FileOutputStream.open(FileOutputStream.java:270) at java.io.FileOutputStream.<init>(FileOutputStream.java:213) at java.io.FileOutputStream.<init>(FileOutputStream.java:133) at org.apache.log4j.FileAppender.setFile(FileAppender.java:294) at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165) at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307) at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172) at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104) at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:842) at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:768) at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:648) at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:514) at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:580) at org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526) at org.apache.log4j.LogManager.<clinit>(LogManager.java:127) at org.apache.spark.internal.Logging$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
