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since ‎04-07-2022

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Job aborted due to stage failure: Task 0 in stage 3084.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3084.0 (TID...., ip..., executor 0): org.apache.spark.SparkExecution: Task failed while writing rowsJob aborted due to stage failure:...
Please could you suggest best cluster configuration for a use case stated below and tips to resolve the errors shown below -Use case:There could be 4 or 5 spark jobs that run concurrently.Each job reads 40 input files and spits out 120 output files ...