Member since
11-17-2021
1116
Posts
253
Kudos Received
28
Solutions
My Accepted Solutions
| Title | Views | Posted |
|---|---|---|
| 223 | 10-16-2025 02:45 PM | |
| 472 | 10-06-2025 01:01 PM | |
| 429 | 09-24-2025 01:51 PM | |
| 396 | 08-04-2025 04:17 PM | |
| 479 | 06-03-2025 11:02 AM |
10-06-2025
01:18 PM
Hello @Brenda99, The question is very wide, there are many things that can help to improve the performance. Some basic recomendations are documented here: https://docs.cloudera.com/cdp-private-cloud-base/7.3.1/tuning-spark/topics/spark-admin_spark_tuning.html Take a look on the documentation, that could help you. Also, it will worth to talk with the team in charge of your account to found deeper performance tuning analysis.
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10-06-2025
01:00 PM
@bgrigori As this is an older post, you would have a better chance of receiving a resolution by starting a new thread. This will also be an opportunity to provide details specific to your environment that could aid others in assisting you with a more accurate answer to your question. You can link this thread as a reference in your new post. Thanks.
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10-06-2025
06:36 AM
Hi @Althotta
Have you been able to resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future.
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10-03-2025
09:49 AM
@champa Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future. Thanks.
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09-26-2025
06:24 AM
@ragshetty I shared the Apache Jira which documented the removal of the encrypt-config toolkit in Apache NiFi 2.x releases. There is no alternative solution offered directly in the Apache NiFi product. NIFI-13414 Thank you, Matt
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09-26-2025
01:42 AM
Hello, I prepared two patched that allowed me to resolve this issue by deploying it on an RS that hosts the hbase:meta table. You can find more details in the following two upstream issues I have opened with additional patches used for resolving the issue: https://issues.apache.org/jira/browse/HBASE-29633 https://issues.apache.org/jira/browse/HBASE-29554 From my investigation this problem was not solvable without the extra patches. I have tested and fixed it in HBase v2.5.10 succesfully.
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09-24-2025
01:51 PM
@carange I sent you a DM with next steps to help you resolve this issue, thanks!
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09-24-2025
12:56 PM
@Malrashed Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future. If you are still experiencing the issue, can you provide the information @jagarwal has requested? Thanks.
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09-12-2025
11:41 AM
@Alexm__ While i have never done anything myself with Azure DevOps pipelines, I don't see why this would not be possible. Dev, test, prod environments would likely have slight variations in NiFi configurations (source and target service URLs, passwords/usernames, etc). So when designing your Process Group dataflows you'll want to take that into account and utilize NiFi's Parameter contexts to define such variable value configuration properties. Sensitive properties (passwords) are never passed to NiFi-Registry. So any version controlled PG imported to another NiFi will not have the passwords set. Once you version control that PG, you can deploy it through rest-api calls to other NiFi deployments. First time it is deployed it will simply import the parameter context used in source (dev) environment. You would need to modify that parameter context in test, and prod environments to set passwords and alter any other parameters as needed by each unique env. Once the modified parameter context of same name exists in the other environments, promoting new versions of dataflows that use that parameter context becomes very easy. The updated dataflows will continue to use the local env parameter context values rather then those used in dev. If a new parameter is introduced to the parameter context, is simply gets added to the existing parameter context of the same name in test and prod envs. So there will be some consideration in your automated promotion of version controlled dataflows between environments to consider. Versioning a DataFlow Parameters in Versioned Flows Please help our community grow. If you found any of the suggestions/solutions provided helped you with solving your issue or answering your question, please take a moment to login and click "Accept as Solution" on one or more of them that helped. Thank you, Matt
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