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A data writer returned by and is responsible for writing data for an input RDD partition. One Spark task has one exclusive data writer, so there is no thread safe concern. is called for each record in the input RDD partition. If one record fails the , is called afterwards and the remaining records will not be processed. If all records are successfully written, is called. If this data writer succeedsall records are successfully written and succeeds, a will be sent to the driver side and pass to with commit messages from other data writers. If this data writer failsone record fails to write or fails, an exception will be sent to the driver side, and Spark will retry this writing task for some times, each time gets a different `attemptNumber`, and finally call if all retry fail. Besides the retry mechanism, Spark may launch speculative tasks if the existing writing task takes too long to finish. Different from retried tasks, which are launched one by one after the previous one fails,
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