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How Do I Allocate Queue Resources for Running Spark Jobs If I Have Purchased 64 CUs?
Updated on 2023-03-21 GMT+08:00
How Do I Allocate Queue Resources for Running Spark Jobs If I Have Purchased 64 CUs?
In DLI, 64 CU = 64 cores and 256 GB memory.
In a Spark job, if the driver occupies 4 cores and 16 GB memory, the executor can occupy 60 cores and 240 GB memory.
Parent topic: O&M Guide
O&M Guide FAQs
- How Do I View DLI Queue Load?
- How Do I Determine Whether There Are Too Many Jobs in the Current Queue?
- How Do I Switch an Earlier-Version Spark Queue to a General-Purpose Queue?
- Why Cannot I View the Resource Running Status of DLI Queues on Cloud Eye?
- How Do I Allocate Queue Resources for Running Spark Jobs If I Have Purchased 64 CUs?
- Why Is Error "Queue plans create failed. The plan xxx target cu is out of quota" Reported When I Schedule CU Changes?
- Why Is a Timeout Exception Reported When a DLI SQL Statement Fails to Be Executed on the Default Queue?
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