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02-09-2021
01:01 AM
@jagadeesan - Followed the same doc, please refer below screenshot.
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02-08-2021
12:12 PM
@pvidal - Thanks for this quick guide. Following scenario for external client TLS connectivity over PAM authentication (SASL_SSL) would be much helpful if added in documentation as an end-to-end reference ; 1. As CDP internally manages the Certificate Authority, 2. So truststore/keystore credentials are not available with Admins unlike on-premises clusters, 3. In that case how to import client certificates for mutual TLS setup, 4. Also not able to see 'Get FreeIPA Certificate' though having all roles/account admin access. Thanks, Joy
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01-13-2021
04:21 AM
@pvidal - Thanks for this great article for automating own CDP deployment. There can be another scenario during quickstart or own CDP deployment on Azure with limited outbound/inbound internet connection. 1. Using a combination of quickstart/own deployed NSGs and separately built Azure Firewall - how to modify existing NSGs to work with Azure Firewall? 2. Use only Azure firewall - get rid of NSGs? Looking for any detailed guidance after going through below docs; https://docs.cloudera.com/management-console/cloud/security-overview/topics/security-in-bound-communication.html https://docs.cloudera.com/management-console/cloud/connection-to-private-subnets/topics/mc-ccm-configure-vnet-with-private-ips.html https://docs.cloudera.com/management-console/cloud/proxy/topics/mc-whitelist-urls-environment.html Any help is much appreciated!
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09-15-2017
04:35 AM
Thank you. Additional query, do you know why these spark configs are placed under hive?
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09-14-2017
03:59 AM
Got below error 17/09/12 20:41:36 WARN yarn.YarnAllocator: Container killed by YARN for exceeding memory limits. 1.5 GB of 1.5 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead. 17/09/12 20:41:39 ERROR cluster.YarnClusterScheduler: Lost executor 1 on xyz.com: remote Akka client disassociated Please help as not able to find spark.executor.memory or spark.yarn.executor.memoryOverhead in Cloudera Manager (Cloudera Enterprise 5.4.7)
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Apache Spark
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Apache YARN
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Cloudera Manager