Comments (5)
The answer is found that my Kubernetes version is too low. Are there any images suitable for the Kubernetes version of 1.18.6?
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K8s 1.18 is already deprecated and out of support by all major cloud providers. It's best to upgrade the k8s version of your cluster
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@zhang5059T I got the same error. Here is my issue: #2051
I eventually made it work on k8s 1.17 by switching to the branch v1beta2-1.3.3-3.1.1 and using Apache Spark 3.4.1, as 3.5.1 did not work. I had to rebuild the operator image and update the app spark version.
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@yuchaoran2011 Upgrading the k8s cluster is a bit difficult, and this is our online environment. I'm afraid the impact range will be too wide.
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@Amri91 Thank you for providing the version. The version 3.4.1 of Spark also fits my environment very well. I will try to build the image of this version to solve this problem.
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Related Issues (20)
- [BUG] spark-operator v1beta2-1.4.2-3.5.0 install with helm timeout HOT 4
- Add support for livenessProbe and ReadinessProbe of driver and executor pods HOT 4
- [FEATURE] Custom log patterns
- [BUG] Not able to open additional port on executor HOT 1
- [FEATURE] Metrics for pod update, pod delete, pod added
- [QUESTION] How can we monitor the Spark Operator container logs?
- [BUG] Submitting a Spark Application Fails on K8s versions < 1.21 HOT 2
- [Feature] Spark Operator Deployment Not Handling Multiple Namespaces HOT 6
- [FEATURE] prevent driver pod from being deleted before its status is processed by the operator HOT 2
- [BUG] volumes configmap not find in driver pod HOT 3
- [QUESTION] How should we upgrade to newer Spark versions for: the Spark Operator and long running Spark Applications?
- [BUG] Executor run error HOT 1
- [FEATURE] Reduce startup time associated with duplicated dependency downloads
- Add new slack channel to README.md HOT 3
- [BUG] Spark Operator Lock identity is empty while HA HOT 3
- [BUG] Changed the usage of the path of Example, a strange exception occurred.
- [BUG] A strange ClassCastException HOT 1
- [SECURITY ISSUE] A potential risk in spark-operator which can be levereaged to make cluster-level privilege escalation HOT 1
- [BUG] Env vars are randomly dropped HOT 3
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