Distributed job scheduling method
A job scheduling and distributed technology, applied in resource allocation, program startup/switching, program control design, etc., can solve problems such as job level expansion and sacrifice, and achieve the effect of good efficiency and performance, and high task efficiency
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[0058] The job configuration exists in the MySQL database, and the job operation mode is job fragmentation, that is, the job fragmentation is stored in the memory of the server running the job.
[0059] In the application scenario of dependent jobs in the financial field, configure four jobs A, B1, B2, and C. The number of slices for each job is 2. B1, B2, and C are configured with corresponding job names of dependent jobs, as follows ;
[0060] Job A: Execute the trigger once a day, no dependent jobs;
[0061] Job B1: Execute a trigger every second, depending on job A, that is, both job slices depend on A;
[0062] Job B2: Execute the trigger once per second and depend on job A, that is, both job slices depend on A;
[0063] Job C: Execute a trigger every second, depending on jobs B1 and B2, that is, both job slices depend on B1 and B2;
[0064] After all jobs (that is, JAVA-dependent jobs A, B1, B2, and C) are enabled, other jobs except the initial job A (that is, all job...
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