Distributed data integration job scheduling method and device
A distributed data and job scheduling technology, applied in the basic field of big data, can solve problems such as scheduling too long jobs, not suitable for complex data integration scenarios, and not considering job metadata access and low-latency job metadata consistency. Achieve the effect of reducing the risk of delay and interruption
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[0045] Example: such as figure 1 As shown, a distributed data integration job scheduling device is composed of a job scheduling device and a job running device. The job scheduling device and the job running device perform information interaction with each other; the job scheduling device includes a job management module, a job pre-recording module, and a resource scheduling module; the job management module is used to receive, cache, and store job-related meta information, Perform concurrency control; the job preloading module is used to obtain pending jobs from the job management module, and determine the scheduling priority order; the resource scheduling module is used to obtain job preloading information and computing resources of the job running device information to complete resource allocation and scheduling distribution; the job running device includes a master control node and a work node, the master control node is responsible for management and coordination, and the ...
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