Member since
08-08-2024
123
Posts
31
Kudos Received
18
Solutions
My Accepted Solutions
| Title | Views | Posted |
|---|---|---|
| 205 | 08-12-2026 04:56 PM | |
| 126 | 07-23-2026 08:29 AM | |
| 209 | 07-22-2026 02:41 PM | |
| 332 | 06-30-2026 10:16 AM | |
| 244 | 06-22-2026 10:01 AM |
09-03-2026
10:43 AM
Hello @Softwarebyt, Based on the error posted for @ipson, looks like this matches two NiFi Jiras: https://issues.apache.org/jira/browse/NIFI-13720 https://issues.apache.org/jira/browse/NIFI-13722 Those fixes get included on CFM 2.1.7.1000: https://docs.cloudera.com/cfm/2.1.7/release-notes/topics/cfm-fixed-issues.html And CDF for DataHub 7.3.1.0: https://docs.cloudera.com/cdf-datahub/7.3.1/release-notes/topics/cdf-datahub-fixed-issues-flow-management.html
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08-26-2026
10:20 AM
Hello @ksw, Sorry, just checking more looks like it was to solve an UI bug. Not an specific CVE. For CVE-2025-66035 / GHSA-58c5-g7wp-6w37 I suggest to open a ticket so we can report this with the security team. Can you do that please? If you have a CVE scanner and can run a report would be even better.
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08-25-2026
02:55 PM
1 Kudo
Hello @intersoldi, Thanks for reaching our community. Glad to have you here. The error looks clear on this message: 2024-07-11T07:30:57,262 WARN com.snowflake.kafka.connector.internal.SnowflakeInternalStage: [kafka_snowflake_poc_2|task-0] [SF_KAFKA_CONNECTOR] uploadWithoutConnection encountered an exception:JDBC driver encountered IO error. Message: Encountered exception during upload: null. for filePath:kafka_snowflake_poc_2/existing_table1/0/1_1_1720683056775.json.gz in Storage:AZURE
2024-07-11T07:30:57,265 ERROR com.snowflake.kafka.connector.internal.InternalUtils: [kafka_snowflake_poc_2|task-0] [SF_KAFKA_CONNECTOR] Retry count:0 caught an exception for operation:UPLOAD_FILE_TO_INTERNAL_STAGE_NO_CONNECTION with message:[SF_KAFKA_CONNECTOR] Exception: Failed to execute cached put
Error Code: 5018
Detail: Error in cached put command
Message: JDBC driver encountered IO error. Message: Encountered exception during upload: null. Kafka on CDP have access to the Snowflake domain, but the put on Azure storage is failing. Most likely there is a proxy or firewall that is not helping on this connection. You can test with this command: curl -v https://azure_name.blob.core.windows.net If you have a proxy, try to add it to the KAFKA_OPTS with these options -Dhttps.proxyHost=<proxy_host> -Dhttps.proxyPort=<proxy_port> Also, if you change the connector to Snowpipe Streaming method, that upload can be avoided and possible this issue gets solved. To do that you can update the JSON for the connector with this setting: "snowflake.ingestion.method": "SNOWPIPE_STREAMING" Check those points and see if it helps.
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08-24-2026
04:12 PM
@DevOpsWorld 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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08-17-2026
12:04 AM
@kiki_adm, Did this response help resolve your query? If so, please consider marking the relevant reply as the accepted solution. This helps other community members find answers more easily in the future.
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07-23-2026
08:29 AM
1 Kudo
Hello @fat12, Sorry to hear that. Checking the Program FAQ this is what it says about your situation: What happens if I don't show up for my exam?
You are marked as a no-show for the exam and you forfeit any fees you paid for the exam.
https://www.cloudera.com/services-and-support/training/certification/cdp-faqs.html#show-up I would suggest to check with Certification team on that to see if there is anything else to do. You can email to [email protected] and share your question. Thanks for reaching Cloudera Community.
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07-22-2026
02:41 PM
1 Kudo
Hello @IONR, Thanks for the detailed information. As far as I know that dynamic querying is not possible. Data Visualization procures to provide high response on filtering but on Datasets already created. Not by creating Datasets with custom filtering each.
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07-01-2026
09:48 AM
I think this is wrong, but maybe I'm being dumb or missing something obvious here: "certs only need to have the SANs matching what the nodes uses to talk each other." I DO need public DNS names if I don't want users to see cert errors though right? The certs don't _only_ need to match the node names they need to be issued from a trusted CA which requires the nodes to have public DNS names. This is the main issue. I can easily automate issuing self-signed certs for node communication (without having to deploy a whole PKI, DNS, letsencrypt, etc) BUT because NIFI uses the same channel for APIs users will see cert errors and I wont be able to terminate SSL at the LB Perhaps there is a way to issue self-signed certs AND terminate SSL at the LB with a different public cert and then maybe do some kind of redirect? Ultimately users would still be redirected to the URL with the self-signed cert and see errors though I think? I think the only way to do this is... Drop SSL everywhere (but how ?) I've been trying to just drop all security to make it all HTTP so I can terminate SSL at the LB, but this is really poorly documented and I haven't been able to actually get it to do everything HTTP. NIFI has so many of its internals super tightly coupled to HTTPS and there are so many individual configuration fields related to this. Is there any known working config to just set it to HTTP everywhere? I have it running on k8s and I can use security features of the cluster to lock it down instead. Hell I even gave it its own cluster so its even more isolated, I definitely don't need HTTPS for intra-node communication.
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06-30-2026
10:16 AM
Hello @moekraft, Thanks for reaching our community. As of now, none of the runtimes supports JDK 21. But I see there are efforts to include support for it on newer but also on those LTS releases. Still we do not have information to share about the estimated time, but you can be sure that Cloudera is actively checking on the supported depencies and their EOS to always have a supported version. You should expect that in the future, before the EOS is met, Cloudera would provide support and communications.
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06-25-2026
03:08 AM
Spark lazily evaluates the workload. The actual execution happens when you write the output, usually. If it gets stuck there that means the workload is not tuned with respect to your infrastructure. Try checking the logs, most likely you need to tune your shuffle partition and/or repartition your data.🙂
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