Member since
01-16-2018
607
Posts
48
Kudos Received
106
Solutions
My Accepted Solutions
Title | Views | Posted |
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398 | 05-06-2024 06:09 AM | |
531 | 05-06-2024 06:00 AM | |
568 | 05-06-2024 05:51 AM | |
619 | 05-01-2024 07:38 AM | |
662 | 05-01-2024 06:42 AM |
05-06-2024
06:09 AM
Hello @Knowledgeknow Thanks for using Cloudera Community. This is an Old Post, yet Wish to convey that Cloudera shall assist with Airflow Issues (Install, Upgrade, Maintenance) dealing with Airflow shipped by Cloudera. Currently, CDE (Cloudera Data Engineering) allows Airflow to be deployed on Public Cloud & Private Cloud with End-To-End Support offered by Cloudera. You haven't shared whether your Q deals with CDE Airflow or Standalone Airflow. If your Post deals with reviewing an Issue with Installing Standalone Airflow which isn't Supported per-se. Henceforth, our engagement would be Limited. For CDE Airflow, the AuthN for Airflow UI is managed implicitly via Single-SignOn (Once your Team is Authenticated to Cloudera Management Console) & doesn't require any manual intervention. For CLI, CDE offers Token Based & Key Based AuthN. If your Team is interested in CDE Airflow, Let us know & we can get in touch with your Team. - Smarak
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05-06-2024
06:00 AM
Hello @mandychen Thanks for using Cloudera Community. This is an Old Post, yet Wish to convey that Cloudera shall assist with Airflow Issues (Install, Upgrade, Maintenance) dealing with Airflow shipped by Cloudera. Currently, CDE (Cloudera Data Engineering) allows Airflow to be deployed on Public Cloud & Private Cloud with End-To-End Support offered by Cloudera. Your Post deals with reviewing an Issue with Installing Standalone Airflow, which isn't Supported per-se. Henceforth, our engagement would be Limited. However, the Issue is likely linked with JDBC Parsing as discussed in [1]. If your Team is interested in CDE Airflow, Let us know & we can get in touch with your Team. - Smarak [1] https://github.com/apache/airflow/issues/33442
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05-06-2024
05:51 AM
Hello @Mdismaik Thanks for using Cloudera Community. This is an Old Post, yet Wish to convey that Cloudera shall assist with Airflow Issues (Install, Upgrade, Maintenance) dealing with Airflow shipped by Cloudera. Currently, CDE (Cloudera Data Engineering) allows Airflow to be deployed on Public Cloud & Private Cloud with End-To-End Support offered by Cloudera. Your Post deals with reviewing an Issue with Installing Standalone Airflow on Cloudera Cluster, which isn't Supported per-se. Henceforth, our engagement would be Limited. We did a Sanity Check on the Error internally, yet no Conclusion arrived with few references indicating Possible DB concerns. If your Team is interested in CDE Airflow, Let us know & we can get in touch with your Team. - Smarak
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05-01-2024
07:38 AM
1 Kudo
Hello @Rafe Thanks for engaging Cloudera Community. To your Q, Cloudera recommends Non-Cloud-VMs to be used for CDP Private Cloud Data Services yet your Team can deploy ECS on any Hardware as long as the Hardware/Software Requirement are met as described in our Doc. - Smarak
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05-01-2024
06:42 AM
1 Kudo
Hello @wert_1311 We hope the above Post has answered your Q. We shall mark the Post as Resolved. If your Team continue to have any concerns, Feel free to Update the Post & We shall get back to your Team accordingly. - Smarak
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04-16-2024
03:26 AM
1 Kudo
Hello @wert_1311 Thanks for using Cloudera Community. May I know if your Team have used the "--arg" Flags of CDE Job Run Command. The same would meet the requirement. You may run "cde job run --help" to fetch all available Flags. - Smarak
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04-15-2024
12:28 AM
1 Kudo
Hello @Faisal_555 @Hai1 The above Error happens for 2 Reasoning majorly: (I) Each Environment creates an Ozone Bucket (When the Environment is Created first) & CDE uses the concerned Ozone Bucket upon being Enabled within the Environment. 1 Top Reason is the Environment was Created when Ozone wasn't Installed or Ozone wasn't Healthy, upon which Ozone Bucket won't be Created. Hence, the Error [1] shows CDE isn't able to fetch the Ozone Info from Env (Wherein "aws_key_id" is reference to Ozone). (II) To rule out the above, Ensure Ozone is Healthy & Create a New Environment, followed by Enabling the CDE Service. This would rule out any issues with Ozone & Environment Bucket. (III) Next, Ensure the "hive" User has Ranger Permission to Create/List Ozone Bucket as documented in [2]. Even if Ozone is Healthy, the Bucket Creation is required & the same is facilitated via "hive" User & Ranger Permission may forbade the same. If the above Action Plan doesn't resolve the Issue, Best to engage Cloudera Support for us to Collaborate further. - Smarak [1] Log: unable to find logging configurations from environment, error: unable to retrieve aws_key_id from the env service [2] https://docs.cloudera.com/cdp-private-cloud-data-services/1.5.3/installation/topics/cdppvc-installation-cdp-data-center.html
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04-15-2024
12:17 AM
1 Kudo
Hello @wert_1311 This is an Old Post, yet I am answering to ensure the Post can be used for future reference. Anytime your Team observe the above Issue, Capture the CDE Diagnostics Bundle covering the Timeframe of Issue (Example Is 2 days In The Screenshot). Next, Restart the Airflow Scheduler Pod by Deleting the Airflow Scheduler Pod, upon which the Airflow Scheduler Pod would be Recreated implicitly. Next, Engage Cloudera Support with the CDE Diagnostics Bundle captured above. Additionally, CDE Airflow has been significantly Scaled-Test in recent releases of CDE & your Team should consider Upgrading CDE to Latest Version as soon as possible. - Smarak [1] https://docs.cloudera.com/data-engineering/cloud/troubleshooting/topics/cde-download-diagnostic-bundle.html
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04-15-2024
12:04 AM
2 Kudos
Hello @Hae AFAIK, Data Connections is a Public Cloud Concept & isn't available in Private Cloud yet. In Public Cloud, [1] shows the Steps to configure Data Connections, which allows you to access the HMS of the DataLake (Unified HMS Source For The Environment). In Private Cloud, You may use the [2] to use Spark on CML. The same has Example on using Spark-On-Yarn on Base Cluster as well as Spark-On-Kubernetes on CML. - Smarak [1] https://docs.cloudera.com/machine-learning/cloud/mlde/topics/ml-mlde-spark-data-connection.html [2] https://docs.cloudera.com/machine-learning/1.5.2/spark/topics/ml-apache-spark-overview.html
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04-14-2024
11:58 PM
1 Kudo
Hello @cirrus Thanks for using Cloudera Community. Kindly share a Screenshot of the UI to help explain your Team's Observation & Confirm the Versioning (Public Vs Private Cloud, CML Version) for us to review internally & get back to you accordingly. - Smarak
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