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Describe the feature
Kyuubi extends its capabilities to support FlinkSQL workloads on Kubernetes, empowering users to seamlessly deploy, manage, and execute FlinkSQL queries in a scalable and distributed cloud-native environment. With Kubernetes' dynamic resource allocation and orchestration, FlinkSQL jobs can take advantage of automated scaling, high availability, and optimized resource utilization. This integration simplifies running SQL analytics over streaming and batch data with Apache Flink, providing a unified interface for big data processing on Kubernetes clusters.
Key features include:
Efficient job scheduling and management of FlinkSQL queries on K8s.
Seamless integration with Kubernetes’ native resource management and auto-scaling.
Support for both streaming and batch processing with SQL semantics.
Motivation
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Describe the solution
No response
Additional context
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Are you willing to submit PR?
[ ] Yes. I would be willing to submit a PR with guidance from the Kyuubi community to improve.
nqvuong1998
commented
1 month ago
Code of Conduct
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Describe the feature
Kyuubi extends its capabilities to support FlinkSQL workloads on Kubernetes, empowering users to seamlessly deploy, manage, and execute FlinkSQL queries in a scalable and distributed cloud-native environment. With Kubernetes' dynamic resource allocation and orchestration, FlinkSQL jobs can take advantage of automated scaling, high availability, and optimized resource utilization. This integration simplifies running SQL analytics over streaming and batch data with Apache Flink, providing a unified interface for big data processing on Kubernetes clusters.
Key features include:
Motivation
No response
Describe the solution
No response
Additional context
No response
Are you willing to submit PR?