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How to understand the parallel implementation of Job, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

Sometimes, we want to be able to run multiple Pod at the same time to improve the efficiency of Job execution. This can be set through parallelism.

Here we set the number of parallel Pod to 2 to practice:

The meaning of the above configuration is to run two Pod at a time until a total of six Pod are successfully completed. Put it into practice:

DESIRED and SUCCESSFUL are both 6, in line with expectations. If you do not specify completions and parallelism, the default value is 1.

The above example is only intended to demonstrate the parallelism of Job and is of little practical use. However, in reality, there are many scenarios that need to be processed in parallel. In batch programs, for example, each Pod reads tasks from the task pool and executes them, and the more copies you have, the shorter the execution time and the more efficient you are. Similar scenarios can be implemented with Job.

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