forked from docs/doc-exports
Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com> Co-authored-by: Su, Xiaomeng <suxiaomeng1@huawei.com> Co-committed-by: Su, Xiaomeng <suxiaomeng1@huawei.com>
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Why Is a Job Running Timeout Reported When a Spark Job Runs a Large Amount of Data?
When a Spark job accesses a large amount of data, for example, accessing data in a GaussDB(DWS) database, you are advised to set the number of concurrent tasks and enable multi-task processing.
Parent topic: Job O&M Errors