Member since
01-16-2018
607
Posts
48
Kudos Received
106
Solutions
My Accepted Solutions
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378 | 05-06-2024 06:09 AM | |
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540 | 05-06-2024 05:51 AM | |
604 | 05-01-2024 07:38 AM | |
639 | 05-01-2024 06:42 AM |
03-05-2023
09:29 PM
Hello @snm1523 Thanks for the Checks done so far. For SPNEGO, I was referring to [1]. This is based on the assumption that Kerberos is enabled for the Solr Service. If Yes, Kindly review [1]. Considering the AuthN is confirmed & SPNEGO Check would confirm AuthZ, I am unable to confirm additional factors, which may cause such issues as well. For Sanity Check, Your team is able to use the CLI [2] is working for your team correctly ? Regards, Smarak [1] https://docs.cloudera.com/cdp-private-cloud-base/7.1.7/security-how-to-guides/topics/cm-security-enable-web-auth-s19.html [2] https://docs.cloudera.com/cdp-private-cloud-base/7.1.7/search-solrctl-reference/topics/search-solrctl-ref.html
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03-03-2023
08:04 AM
Hello @AmitBIDWH We hope your Team's queries have been addressed by us. As such, We shall mark the Post as Solved now. If you have any further ask, Feel free to Update the Case likewise. Regards, Smarak
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03-03-2023
08:04 AM
Hello @snm1523 Thanks for using Cloudera Community. Generally, I have observed such "Red Lines" when the User isn't authorised rightly. Review the Ranger Permission against your Username & confirm if the right privileges are granted. Secondly, Try confirming if the Issue persists in Incognito/Private Browser mode to rule out any weird browser concerns. Third, SPNEGO is setup correctly. If the above Checks doesn't yield the Outcome expected, You may prefer opening a Support Case for our Support folks to engage with your Team for a quicker resolution. Regards, Smarak
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02-28-2023
09:04 PM
Hello @quangbilly79 Thanks for using Cloudera Community. The "Spark Master" refers to the Resource Manager responsible for allocating resources. Since you are using YARN, Your Team needs to use "--master yarn". The usage of "--master spark://<IP Address>:7077" is for Spark Standalone Cluster, which isn't the Case for your team. To your Observation concerning the "Driver Instance" & "Worker Instance" being added via "Add Role Instance", there is no such Option as YARN is the Resource Manager, which shall allocate the resources for Spark Driver & Executors. Review [1] for the usage of "--master" as well. Hope the above answers your Team's queries. Regards, Smarak [1] https://spark.apache.org/docs/latest/submitting-applications.html#launching-applications-with-spark-submit
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02-28-2023
08:53 PM
Hello @ighack Thanks for using Cloudera Community. In such Cases, Kindly review the StdOut & StdErr within the Directory shared in the 1st line of the Screenshot (Ending with "8464-hbase-MASTER"). These 2 files would offer additional details into the JVM StartUp. Note that Role Log would be Useful, if the Role was terminated by any issues specific to HBase while the StdOut & StdErr are Useful wherein OS/JVM concerns cause the Role StartUp issues. Regards, Smarak
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02-28-2023
08:43 PM
Hello @Menyawy Thanks for using Cloudera Community. The Error [1] indicates your Team is using CDH v5.x using HBase v1.x. In the concerned release, We have limited choices to ensure "hbase:namespace" Table Region is assigned correctly as shared below: (I) Easier Yet Not-Always-Successful Option: 1) Shutdown HBase Service
2) echo "rmr /hbase" | hbase zkcli (From HMaster Node)
3) Start HBase Service
4) sudo hbase hbase hbck -fixAssignments (II) Review whether any of the "hbase:namespace" Table Region files are reporting MissingBlockException. If Yes, We need to fix the MissingBlockException. (III) Possible for the RegionServer Logs (Wherein the "hbase:namespace" Table Region is being assigned) would offer additional insight into the reasoning for the RegionServer being Unable to assign the "hbase:namespace" Table Region successfully. Your Team may review the concerned RegionServer Logs as well. There may be Other Options, yet such Inconsistencies are better handled in HBase 2.x [1] & your Team should plan for using HBase v2.x soon. Regards, Smarak [1] https://github.com/apache/hbase-operator-tools/blob/master/hbase-hbck2/README.md#master-startup-cannot-progress-in-holding-pattern-until-region-onlined
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02-28-2023
08:36 AM
2 Kudos
Hello @BrianChan Thanks for using Cloudera Community. I believe CDSW isn't included in Free Tier [0], Your Team should review CML (Cloudera Machine Learning), which is available in CDP Public Cloud & CDP Private Cloud with [1] offering details into the Difference between CDSW & CML. As noted in [1], CML expands the functionalities of CDSW further. CML is included in "CDP Public Cloud" Trail [2] & in "CDP Private Cloud Data Services" Trial [3]. Regards, Smarak [0] https://docs.cloudera.com/cdp-private-cloud-base/7.1.7/installation/topics/cdpdc-setup-trial-cluster-using-wizard.html [1] https://docs.cloudera.com/machine-learning/1.3.4/product/topics/ml-cdsw-key-differences.html [2] https://www.cloudera.com/campaign/try-cdp-public-cloud.html [3] https://www.cloudera.com/downloads/cdp-private-cloud-trial.html
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02-27-2023
10:59 PM
Hello @AmitBIDWH Thanks for using Cloudera Community. HBase offers Tools for Use-Cases as Bulk-Loading, Exporting, Importing, CopyTable etc. Additionally, few Task as Compactions are managed implicitly by Customer. We would suggest reviewing [1] for any HBase concerns. To your Q concerning Create > Admin > Load, BulkLoad [2] is one of the Best Tool for Large-Scale Loading. Additionally, Your Team may use HBase Shell or REST APIs [3] for further activities. Kindly review & let us know if you have any concerns. Regards, Smarak [1] https://hbase.apache.org/book.html [2] https://hbase.apache.org/book.html#arch.bulk.load [3] https://hbase.apache.org/book.html#_rest
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02-27-2023
10:54 PM
1 Kudo
Hello @bgkim Thanks for using Cloudera Community. To your Q, the Composite Primary Key would require using both A & B in WHERE Clause as the Indexing is done collectively. As such, Your SELECT Query would ideally benefit upon creating a Local Index on A & C. You may review [1] as Read-Heavy Use-Case benefit via Global Index with Penalty incurred during Writes. Additionally, Phoenix offers Covered Index & Explain Plan helps confirming the Index Usage. Link [2] offers few examples as well. With all recommendations, Best Advise is always to review the Performance internally prior to implementing them in Production. Regards, Smarak [1] https://phoenix.apache.org/secondary_indexing.html [2] https://learn.microsoft.com/en-us/azure/hdinsight/hbase/apache-hbase-phoenix-performance
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01-24-2023
11:30 PM
Hello @Ellengogo I am not able to find the exact Case reference as this Post is few months old. Typically, such issues are caused by Resource Constraint, wherein the Engine Pod (Created when a Workbench Session is started) gets terminated owing to Resource Constraint. If the issue is persistent, a Support Case would be ideal as we require the review of the Kubernetes Output pertaining to the Engine Pod along with Resource Profile & other related artefacts. Regards, Smarak
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