Parallel development has always been a hurdle encountered by programmers in development projects , But to cater for hardware upgrades , Facing high-end multi-core processors , Parallel programming is imperative . stay .NET The development under the platform supports parallel mode , Here's a real project to illustrate the efficiency and magic of parallelism .
In optimizing the operation and management system of China Railway Construction Enterprises , There is an urgent problem to be solved . It's about the response time of report processing , At the beginning of the system, there was less data , The response time of exporting report is faster . But as the data expands , Export the data of a branch （ Probably 600 strip ） Also needed 5 About minutes , Of course, this is related to the configuration of the computer . If the project report of the head stock company is exported （6000 Bar or so ）, That time on the ordinary computer is a long wait . In this , It also takes a long time to export on the high-end configuration server of China Railway Construction Corporation . The system needs to be optimized in report processing , My solution is parallel .
Because the report of the head office is made up of branch offices （ subsidiary ） Report synthesis of , The original programming was based on the serial principle of the program , After completing the report of a subsidiary company , To continue the report operation of the next subsidiary . The head office has about 50 About two sub bureaus and project headquarters , This seriously increases the time of report production and export . Using parallelism , That is to let the original subsidiary company in almost （ This needs to see .NET Parallel operation principle , They still have very small time intervals in parallel ） Processing reports at the same time , Began to run . Put the original need 50 The time period of about one time becomes one time （ It takes the slowest time to start , The last one that ended ）. This greatly speeds up the report processing speed . But parallelism is not very well controlled , I tested , It took a long time to solve data sharing , The problem of data conflict .
Of course , Parallel development needs to use the program to call the system's multi-core processor , In this way cpu It's very high in terms of resource utilization , My project is basically cpu Occupation is 100%. It is necessary to accept that space is exchanged for time . however , On the hardware of a real multi-core high-end server , Combined with the improvement of parallel program , The problem of report export time of the head office has finally been solved .
Here are some process shots , It's worth mentioning that the process tracking screenshot of report generation time , It basically reflects the record of parallel program in the process of running .
chart 1 Report export time tracking of head stock company
chart 2 Report export time tracking of a subsidiary company
chart 3 Report export program display
chart 4 export Excel Exhibition
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