About yagoaparecidoti

Elias · ‎01-12-2023

There can be several reasons that can cause this. Run host inspector to get a better understanding of the issue: CM -> Hosts -> All Hosts -> Inspect Hosts

yagoaparecidoti · ‎10-18-2022

hi @ask_bill_brooks when I run the command to list the interpreters available for zeppelin, the list returns that python is supported. I run the command: install-interpreter.sh --list and returns the following: OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=512m; support was removed in 8.0 SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-7.1.7-1.cdh7.1.7.p1000.24102687/jars/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-7.1.7-1.cdh7.1.7.p1000.24102687/jars/slf4j-simple-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] alluxio Alluxio interpreter angular HTML and AngularJS view rendering beam Beam interpreter bigquery BigQuery interpreter cassandra Cassandra interpreter built with Scala 2.11 elasticsearch Elasticsearch interpreter file HDFS file interpreter flink Flink interpreter built with Scala 2.11 hbase Hbase interpreter ignite Ignite interpreter built with Scala 2.11 jdbc Jdbc interpreter kylin Kylin interpreter lens Lens interpreter livy Livy interpreter md Markdown support pig Pig interpreter python Python interpreter scio Scio interpreter shell Shell command with this, I think it is possible to use the python interpreter. the problem is that we are not able to make the python interpreter work.

yagoaparecidoti · ‎10-17-2022

hello cloudera community, I'm having trouble using python in zeppelin, when I run a simple script it returns the error below: org.apache.thrift.transport.TTransportException: Socket is closed by peer. at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:130) at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86) at org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:455) at org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:354) at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:243) at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:77) at org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Client.recv_createInterpreter(RemoteInterpreterService.java:182) at org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Client.createInterpreter(RemoteInterpreterService.java:165) at org.apache.zeppelin.interpreter.remote.RemoteInterpreter$2.call(RemoteInterpreter.java:169) at org.apache.zeppelin.interpreter.remote.RemoteInterpreter$2.call(RemoteInterpreter.java:165) at org.apache.zeppelin.interpreter.remote.RemoteInterpreterProcess.callRemoteFunction(RemoteInterpreterProcess.java:135) at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.internal_create(RemoteInterpreter.java:165) at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.open(RemoteInterpreter.java:132) at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.getFormType(RemoteInterpreter.java:299) at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:408) at org.apache.zeppelin.scheduler.Job.run(Job.java:188) at org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:315) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Could help to solve this problem? PS¹: script simple: %python number1 = 2 number2 = 2 total = number1 + number2 print(total) PS²: zeppelin was installed by cloudera manager, version 7.6x, cdp version 7.1.x

yagoaparecidoti · ‎10-14-2022

I managed to solve. canary timeouts have been changed: ZooKeeper Canary Connection Timeout = 30s ZooKeeper Canary Session Timeout = 1m ZooKeeper Canary Operation Timeout = 30s with that, the error no longer presented and the status is healthy 100%

yagoaparecidoti · ‎09-30-2022

hello cloudera community, solved the problem by pointing hive-site.xml file in spark and spark2 so spark jobs in livy in jupyter notebook ran successfully

rtrivedi · ‎09-22-2022

@yagoaparecidoti It looks like this particular user does not have permission to connect to HMS. You can add this user or put "*" under this configuration : CM->Hive->Configuration->Search "hive_proxy_user_groups_list" And then restart hive and then run "show databases" . Another possibility could be that it is not able to locate hive-site.xml on the node required to connect to Hive Metastore.

yagoaparecidoti · ‎09-15-2022

hi @araujo the userPrincipalName of user livy is: livy/hostname_livy_server@DOMAIN.LOCAL the userPrincipalName of the livy-http user is: livy-http@DOMAIN.LOCAL running the command "kinit livy": running the command "kinit livy-http": running the "kinit" command with the keytab created for user livy: running the command "kinit" with the keytab created for the user livy-http: we've been facing this problem for months, we haven't found the solution yet.

yagoaparecidoti · ‎09-12-2022

hi @Scharan the same goes for sentry?

araujo · ‎08-30-2022

@yagoaparecidoti , The opposite command doesn't exist, as far as I know. Querying the database is the only option that I'm aware. Cheers, André

yagoaparecidoti · ‎08-19-2022

hi @Asfahan checking the file with the same name as tablet_id in the "consensus-meta" directory, it shows that the file is 11K in all TS as you can see in the screenshot below, the tablet_id has different sizes between the 3 TS

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