About fernando_lopez

fernando_lopez · ‎06-02-2023

This response is NOT to fix "files with corrupt replicas" but to find and fix files that are completely corrupt, that is that there are not good replicas to recover the files. The warning of files with corrupt replicas is when the file has at least one replica which is corrupt, but the file can still be recovered from the remaining replicas. In this case hdfs fsck /path ... will not show these files because it considere these healty. These files and the corrupted replicas are only reported by the command hdfs dfsadmin -report and as far as I known there is no direct command to fix this. Only way I have found I to wait for the Hadoop cluster to health itself by reallocating the bad replicas from the good ones.

fernando_lopez · ‎01-11-2023

Hello everyone. Since CentOS 8 has been discontinued more than a year ago, and Rocky Linux / Alma Linux have been left occupying the same role as free RHEL's mirror distributions, I would like to know if Cloudera has already a date scheduled in the near future to start supporting any of these distributions as a base operating system for CDP base and related products. Thanks in advance

fernando_lopez · ‎02-07-2019

We need to configure Superset, running within HDP 3.1, to use existing LDAP. We could not find any proper documentation on how to do this. Are there any defined steps? Thanks in advance.

fernando_lopez · ‎01-14-2019

yarn.scheduler.capacity.maximum-am-resource-percent=0.2 yarn.scheduler.capacity.maximum-applications=10000 yarn.scheduler.capacity.node-locality-delay=40 yarn.scheduler.capacity.root.accessible-node-labels=* yarn.scheduler.capacity.root.acl_administer_queue=* yarn.scheduler.capacity.root.capacity=100 yarn.scheduler.capacity.root.default.acl_submit_applications=* yarn.scheduler.capacity.root.default.capacity=10 yarn.scheduler.capacity.root.default.maximum-capacity=30 yarn.scheduler.capacity.root.default.state=RUNNING yarn.scheduler.capacity.root.default.user-limit-factor=2 yarn.scheduler.capacity.root.queues=Hive,Zeppelin,default yarn.scheduler.capacity.queue-mappings=u:zeppelin:Zeppelin,u:hdfs:Hive,g:dl-analytics-group:Zeppelin yarn.scheduler.capacity.queue-mappings-override.enable=false yarn.scheduler.capacity.root.Hive.acl_administer_queue=* yarn.scheduler.capacity.root.Hive.acl_submit_applications=* yarn.scheduler.capacity.root.Hive.capacity=50 yarn.scheduler.capacity.root.Hive.maximum-capacity=90 yarn.scheduler.capacity.root.Hive.minimum-user-limit-percent=25 yarn.scheduler.capacity.root.Hive.ordering-policy=fair yarn.scheduler.capacity.root.Hive.ordering-policy.fair.enable-size-based-weight=false yarn.scheduler.capacity.root.Hive.priority=10 yarn.scheduler.capacity.root.Hive.state=RUNNING yarn.scheduler.capacity.root.Hive.user-limit-factor=2 yarn.scheduler.capacity.root.Zeppelin.acl_administer_queue=* yarn.scheduler.capacity.root.Zeppelin.acl_submit_applications=* yarn.scheduler.capacity.root.Zeppelin.capacity=40 yarn.scheduler.capacity.root.Zeppelin.maximum-capacity=80 yarn.scheduler.capacity.root.Zeppelin.minimum-user-limit-percent=20 yarn.scheduler.capacity.root.Zeppelin.ordering-policy=fair yarn.scheduler.capacity.root.Zeppelin.ordering-policy.fair.enable-size-based-weight=false yarn.scheduler.capacity.root.Zeppelin.priority=5 yarn.scheduler.capacity.root.Zeppelin.state=RUNNING yarn.scheduler.capacity.root.Zeppelin.user-limit-factor=3 yarn.scheduler.capacity.root.default.minimum-user-limit-percent=25 yarn.scheduler.capacity.root.default.ordering-policy=fair yarn.scheduler.capacity.root.default.ordering-policy.fair.enable-size-based-weight=false yarn.scheduler.capacity.root.default.priority=0 yarn.scheduler.capacity.root.maximum-capacity=100 yarn.scheduler.capacity.root.ordering-policy=priority-utilization yarn.scheduler.capacity.root.priority=0

fernando_lopez · ‎01-11-2019

We have defined several YARN queues. Say that you have queue Q1, where users A and B run Spark processes. If A submits a job that demands all of the queue resources, they are allocated by YARN. Subsequently, when B submits his job, he is affected by resource scarcity. We need to prevent this situation, by assigning resources more evenly between A and B (and all other incoming users), within Q1. We have already set Scheduler to Fair. Can this eager resource allocation behaviour be prevented?

fernando_lopez · ‎03-07-2018

For me, proxy settings (no matter if they were set at Intellij, SBT.conf or environment variables), did not work. A couple of considerations that solved this issue (for me at least): - if you use SBT 0.13.16 (not newer that that) - set Use Auto Import Then, no "FAILED DOWNLOADS" messages appear.

fernando_lopez · ‎02-26-2018

A couple of considerations that solved this issue: if you use SBT 0.13.16 (not newer that that) and set Use Auto Import, then no download issues occur. When you do like this, no "FAILED DOWNLOADS" messages appear.

fernando_lopez · ‎02-23-2018

I am trying to use Scala/Spark from IntelliJ in Windows 7, but it IntelliJ (and SBT command line) fails to download files. I am behind a proxy server. Similar problems were already reported here. Already tried: - SBT versions 0.13.16, 1.0.3 and 1.1.1 - setting proxy properties JAVA_OPTS, SBT_OPTS, sbtconfigtxt -Dhttp.proxyHost=***-Dhttp.proxyPort=***-Dhttp.proxyUser=***-Dhttp.proxyPassword=***-Dhttps.proxyHost=***-Dhttps.proxyPort=***-Dhttps.proxyUser=***-Dhttps.proxyPassword=*** without success - verified the issue in SBT: d:\Users\user1>sbt.bat [info] Loading project definition from D:\Users\user1\project [info] Updating {file:/D:/Users/user1/project/}user1-build... [warn] [FAILED ] org.apache.logging.log4j#log4j-core;2.8.1!log4j-core.jar(t est-jar): typesafe-ivy-releases: unable to get resource for org.apache.logging.l og4j#log4j-core;2.8.1: res=https://repo.typesafe.com/typesafe/ivy-releases/org.a pache.logging.log4j/log4j-core/2.8.1/test-jars/log4j-core-tests.jar: java.io.IOE xception: Failed to authenticate with proxy (353ms) [warn] [FAILED ] org.apache.logging.log4j#log4j-core;2.8.1!log4j-core.jar(t est-jar): sbt-plugin-releases: unable to get resource for org.apache.logging.log 4j#log4j-core;2.8.1: res=https://repo.scala-sbt.org/scalasbt/sbt-plugin-releases /org.apache.logging.log4j/log4j-core/2.8.1/test-jars/log4j-core-tests.jar: java. io.IOException: Failed to authenticate with proxy (8ms) [warn] [FAILED ] org.apache.logging.log4j#log4j-core;2.8.1!log4j-core.jar(t est-jar): public: unable to get resource for org/apache/logging/log4j#log4j-core ;2.8.1: res=https://repo1.maven.org/maven2/org/apache/logging/log4j/log4j-core/2 .8.1/log4j-core-2.8.1-tests.jar: java.io.IOException: Failed to authenticate wit h proxy (8ms) [warn] Detected merged artifact: [FAILED ] org.apache.logging.log4j#log4j-c ore;2.8.1!log4j-core.jar(test-jar): (0ms). [warn] ==== typesafe-ivy-releases: tried [warn] ==== sbt-plugin-releases: tried [warn] https://repo.scala-sbt.org/scalasbt/sbt-plugin-releases/org.apache.logg ing.log4j/log4j-core/2.8.1/test-jars/log4j-core-tests.jar [warn] ==== local: tried [warn] d:\Users\user1\.ivy2\local\org.apache.logging.log4j\log4j-core\2.8.1\ test-jars\log4j-core-tests.jar [warn] ==== public: tried [warn] https://repo1.maven.org/maven2/org/apache/logging/log4j/log4j-core/2.8. 1/log4j-core-2.8.1-tests.jar [warn] ==== local-preloaded-ivy: tried [warn] d:\Users\user1\.sbt\preloaded\org.apache.logging.log4j\log4j-core\2.8 .1\test-jars\log4j-core-tests.jar [warn] ==== local-preloaded: tried [warn] file:/d:/Users/user1/.sbt/preloaded/org/apache/logging/log4j/log4j-co re/2.8.1/log4j-core-2.8.1-tests.jar [warn] :::::::::::::::::::::::::::::::::::::::::::::: [warn] :: FAILED DOWNLOADS :: [warn] :: ^ see resolution messages for details ^ :: [warn] :::::::::::::::::::::::::::::::::::::::::::::: [warn] :: org.apache.logging.log4j#log4j-core;2.8.1!log4j-core.jar(test-jar) [warn] :::::::::::::::::::::::::::::::::::::::::::::: [error] sbt.librarymanagement.ResolveException: download failed: org.apache.logg ing.log4j#log4j-core;2.8.1!log4j-core.jar(test-jar) [error] at sbt.internal.librarymanagement.IvyActions$.resolveAndRetrieve (IvyActions.scala:331) [error] at sbt.internal.librarymanagement.IvyActions$.$anonfun$updateEit her$1(IvyActions.scala:205) [error] at sbt.internal.librarymanagement.IvySbt$Module.$anonfun$withMod ule$1(Ivy.scala:229) [error] at sbt.internal.librarymanagement.IvySbt.$anonfun$withIvy$1(Ivy. scala:190) [error] at sbt.internal.librarymanagement.IvySbt.sbt$internal$libraryman agement$IvySbt$$action$1(Ivy.scala:70) [error] at sbt.internal.librarymanagement.IvySbt$$anon$3.call(Ivy.scala: 77) [error] at xsbt.boot.Locks$GlobalLock.withChannel$1(Locks.scala:95) [error] at xsbt.boot.Locks$GlobalLock.xsbt$boot$Locks$GlobalLock$$withCh annelRetries$1(Locks.scala:80) [error] at xsbt.boot.Locks$GlobalLock$$anonfun$withFileLock$1.apply(Lock s.scala:99) [error] at xsbt.boot.Using$.withResource(Using.scala:10) [error] at xsbt.boot.Using$.apply(Using.scala:9) [error] at xsbt.boot.Locks$GlobalLock.ignoringDeadlockAvoided(Locks.scal a:60) [error] at xsbt.boot.Locks$GlobalLock.withLock(Locks.scala:50) [error] at xsbt.boot.Locks$.apply0(Locks.scala:31) [error] at xsbt.boot.Locks$.apply(Locks.scala:28) [error] at sbt.internal.librarymanagement.IvySbt.withDefaultLogger(Ivy.s cala:77) [error] at sbt.internal.librarymanagement.IvySbt.withIvy(Ivy.scala:185) [error] at sbt.internal.librarymanagement.IvySbt.withIvy(Ivy.scala:182) [error] at sbt.internal.librarymanagement.IvySbt$Module.withModule(Ivy.s cala:228) [error] at sbt.internal.librarymanagement.IvyActions$.updateEither(IvyAc tions.scala:190) [error] at sbt.librarymanagement.ivy.IvyDependencyResolution.update(IvyD ependencyResolution.scala:20) [error] at sbt.librarymanagement.DependencyResolution.update(DependencyR esolution.scala:56) [error] at sbt.internal.LibraryManagement$.resolve$1(LibraryManagement.s cala:38) [error] at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$12(Libr aryManagement.scala:91) [error] at sbt.util.Tracked$.$anonfun$lastOutput$1(Tracked.scala:68) [error] at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$19(Libr aryManagement.scala:104) [error] at scala.util.control.Exception$Catch.apply(Exception.scala:224) [error] at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$11(Libr aryManagement.scala:104) [error] at sbt.internal.LibraryManagement$.$anonfun$cachedUpdate$11$adap ted(LibraryManagement.scala:87) [error] at sbt.util.Tracked$.$anonfun$inputChanged$1(Tracked.scala:149) [error] at sbt.internal.LibraryManagement$.cachedUpdate(LibraryManagemen t.scala:118) [error] at sbt.Classpaths$.$anonfun$updateTask$5(Defaults.scala:2353) [error] at scala.Function1.$anonfun$compose$1(Function1.scala:44) [error] at sbt.internal.util.$tilde$greater.$anonfun$$u2219$1(TypeFuncti ons.scala:42) [error] at sbt.std.Transform$$anon$4.work(System.scala:64) [error] at sbt.Execute.$anonfun$submit$2(Execute.scala:257) [error] at sbt.internal.util.ErrorHandling$.wideConvert(ErrorHandling.sc ala:16) [error] at sbt.Execute.work(Execute.scala:266) [error] at sbt.Execute.$anonfun$submit$1(Execute.scala:257) [error] at sbt.ConcurrentRestrictions$$anon$4.$anonfun$submitValid$1(Con currentRestrictions.scala:167) [error] at sbt.CompletionService$$anon$2.call(CompletionService.scala:32 ) [error] at java.util.concurrent.FutureTask.run(FutureTask.java:266) [error] at java.util.concurrent.Executors$RunnableAdapter.call(Executors .java:511) [error] at java.util.concurrent.FutureTask.run(FutureTask.java:266) [error] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolE xecutor.java:1149) [error] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPool Executor.java:624) [error] at java.lang.Thread.run(Thread.java:748) Project loading failed: (r)etry, (q)uit, (l)ast, or (i)gnore? [error] (*:update) sbt.librarymanagement.ResolveException: download failed: org.apache.logging.log 4j#log4j-core;2.8.1!log4j-core.jar(test-jar)

fernando_lopez · ‎12-11-2017

When you use Spark from a Zeppelin notebook, and at the end you isse a context stop, sc.stop() it affects the context of other running Zeppeling notebooks, making them fail because of no Spark active context. They seem to be sharing the same Spark context. How can this be avoided?

fernando_lopez · ‎10-24-2017

I am trying to create a new policy in Ranger. When you click on Add, 'Error creating policy' is shown. captura.jpg This is what /var/log/ranger/admin/xa_portal.log shows: 2017-10-24 15:51:28,710 [http-bio-6080-exec-12] INFO org.apache.ranger.common.RESTErrorUtil (RESTErrorUtil.java:345) - Request failed. loginId=holger_gov, logMessage=User 'holger_gov' does not have delegated-admin privilege on given resourcesjavax.ws.rs.WebApplicationException at org.apache.ranger.common.RESTErrorUtil.createRESTException(RESTErrorUtil.java:337) Connection test to Ranger Admin DB runs ok (jdbc:postgresql://localhost:5432/ranger). This is a 2.6.1 sandbox based environment. What can be causing this issue?

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Cloudera Community

Re: Problem with proxy settings for SBT

Re: Delivering visualizations to the end user via ...

Re: Blocks with corrupted replicas

When is CDP going to support Rocky Linux?

How to configure Superset to use LDAP?

Re: Resource quotas within a single YARN queue

Resource quotas within a single YARN queue

Re: Problem with proxy settings for SBT

Re: Problem with proxy settings for SBT

Problem with proxy settings for SBT

How to avoid sharing spark context between two Zep...

Ranger fails with error "Error creating policy"