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In our env, when executor grows to 100+, when running sql (shuffle 100G) with 10 parallel. Got
Caused by: java.lang.RuntimeException: Query with job id wXHGdKf failed due to Job failed due to stage 3 failed: Task failed due to runtime execution error: DataFusionError(ArrowError(ExternalError("Arrow error: External error: Shuffle fetch partition error from Executor 10.69.147.148 : 7115d88d-1212-4a4d-95b7-58f5a68600be, map_stage 2, map_partition 3, error desc: Error connecting to Ballista scheduler or executor at http://10.69.147.148:50051/: tonic::transport::Error(Transport, hyper::Error(Connect, Custom { kind: TimedOut, error: Elapsed(()) })) @ GrpcConnectionError")))
Seems cache the client is a solution, All cut-edge systems like iox and tikv did this.
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Is your feature request related to a problem or challenge? Please describe what you are trying to do. A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] (This section helps Arrow developers understand the context and why for this feature, in addition to the what)
In our env, when executor grows to 100+, when running sql (shuffle 100G) with 10 parallel. Got
Seems cache the client is a solution, All cut-edge systems like
iox
andtikv
did this. Describe the solution you'd like A clear and concise description of what you want to happen.Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.
Additional context Add any other context or screenshots about the feature request here.