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09-01-2020
317
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24
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10
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My Accepted Solutions
Title | Views | Posted |
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281 | 10-22-2024 11:56 AM | |
345 | 09-23-2024 11:55 PM | |
547 | 09-23-2024 11:35 PM | |
504 | 03-04-2024 07:58 AM | |
1333 | 11-15-2023 07:50 AM |
08-26-2022
02:10 AM
@therealfortune As per your OS version you can search it in google and build the OS base repo to install the necessary packages.
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08-24-2022
11:26 AM
@skoch244 You should refer the following community article where we have explained updating/resetting offset possibilities for the topic in the Nifi processor. https://community.cloudera.com/t5/Support-Questions/Offset-handling-in-Apache-NiFi-consumeKafka/m-p/303112/highlight/true#M221400 Please let us know if this information helped you. Thank you.
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08-22-2022
10:54 PM
Hi Babasaheb, Sorry I was in vacation , I could not reply. Thanks for your help , it has resolved the issue with kafka. I am facing issue with hbase integration , raised request in below link. Unable-integrate-hbase-with-Atlas/td-p/350587
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08-16-2022
12:19 PM
@Sagar_cloudera Looks like the host has network connectivity issues. Please check if there are any network connectivity issues if not, then provide us the complete details/error you are getting while installing Cloudera so that we can suggest you on it further. Thank you.
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08-10-2022
07:15 AM
Hi @yagoaparecidoti , Yes, as you are using Ambari to manage the cluster, you can add the property as follows : Ambari -> HDFS -> Configs -> Advanced -> Custom hdfs-site -> Add Property dfs.client.block.write.replace-datanode-on-failure.policy=ALWAYS
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08-07-2022
05:18 AM
@cfoo I see the following in the Nimbus log: [ERROR] Error when processing event org.apache.storm.generated.KeyNotFoundException: null Could you please try the below action plan and let us know how it goes: - Increase the JVM of the nimbus from the existing value to keep the nimbus up for a few additional moments to kill the topologies. - stop all the topologies - delete the znode /storm ( From zk cli : rmr /storm ) - take a backup of storm.local.dir and delete the same( From zk cli : rm -rf <value of stormlocal.dir> ). You can check it in the storm.yaml file - start the supervisors and nimbus, check if the services are up and running - If there is no Nimbus service running, then the only way to remove the topology processes would be to manually kill the worker processes on all worker nodes. If you found this response assisted with your query, please take a moment to log in and click on KUDOS 🙂 & ”Accept as Solution" below this post. Thank you.
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08-07-2022
04:49 AM
@Onkar_Gagre I would suggest you to tweak the following settings for better MirrorMaker scaling: 1) Kafka > Config > consumer.request.timeout.ms to 500000 Kafka > Config > session.timeout.ms to 60000 Kafka > Config > buffer.memory to 66000000 Kafka > Config > replica.fetch.max.bytes to 56700160 Kafka > Config > message.max.bytes to 56700160 2) You can increase the heartbeat.interval.ms to 20 secs in line with session.timeout.ms (1/3rd of session time). This has to be set in CM > Kafka > Config > Kafka MirrorMaker Advanced Configuration Snippet (Safety Valve) for mirror_maker_consumers.properties > heartbeat.interval.ms = 20000 > Save changes > Restart MM. 3) Add partition.assignment.strategy=org.apache.kafka.clients.consumer.RoundRobinAssignor to Kafka safety value for mirror.maker.consumer.properties If you still face the same issue, then provide us the following details for further investigation: 1) Are you getting any errors in the broker logs and MM logs? OR we need broker and MM logs 2) Run in each broker on the destination cluster a couple of times every 5 hours below to discard networking issues: netstat -s | egrep "retransmited|sent out|socket|buffer|overflow|total packets received" 3) How many brokers are there in the Kafka cluster? 4) Was it working fine before and have you made any recent changes? Thank you.
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08-07-2022
04:34 AM
@radha56 We need some more details to check and investigate this issue further: 1) Provide us the stdout and stderr you are getting while restarting broker from Ambari >> Kafka 2) Complete ERROR trace from the log file from failed broker node 3) Alert/WARN you are getting in Ambari >> Kafka >> Status page Thank you.
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08-07-2022
04:08 AM
@Onkar_Gagre A] There is no any standard tool that Kafka or Cloudera provides to migrate only Kafka zookeeper metadata. But yes, there are some third-party tools which you can use to migrate zookeeper metadata. You can use a third-party tool like zkcopy to migrate/copy metadata from one cluster to another. But we would recommend testing it in your dev lab first to avoid further issues Note: Just something to be aware of.. If you decide on copying over the znodes uses this third party tool then you need to do this when the Kafka service is shutdown. You would then copy it to the new Znode root location, change the chroot config in Kafka and start that up again. B] You can use SRM for migration and once the migration is completed you can lower the retention settings 1-2 hours as you don't need data so that all data will be cleared automatically and then you can set retetion back to 7 days which is default or as per your requirement. C] You can also create all topics on a new cluster with the required configuration If you found this response assisted with your query, please take a moment to log in and click on KUDOS 🙂 & ”Accept as Solution" below this post. Thank you.
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08-07-2022
12:22 AM
@CDPTester You can use camel-snmp-kafka-connector to receive traps and poll SNMP (Simple Network Management Protocol) and configure it to send to Kafka topic [1]. [1] https://camel.apache.org/camel-kafka-connector/0.11.x/reference/connectors/camel-snmp-kafka-source-connector.html This connector will be not bundled with the CDP but you can integrate this Apache open source connector as per your requirement. Refer the following stackoverflow article for more details/example [2] [2] https://stackoverflow.com/questions/54305856/snmp-camel-kafka If you found this response assisted with your query, please take a moment to log in and click on KUDOS 🙂 & ”Accept as Solution" below this post. Thank you.
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