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Another point I can Examine is performance_schema overhead. I’ve observed scenarios of workload where it generates significative overhead, while Nearly none in Many others. Let’s also test enabling and disabling it.
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Wonderful produce up, and I enjoy your stating right up front this isn’t meant to be a correct benchmark. The 1 lacking ingredient, for my part, is that you are loading right into a table without any secondary indexes.
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csv file into 8 chunks. It must look at here not consume Substantially time, nevertheless the limited synchronization applications within the default threading library, along with my limited time manufactured me go with this strategy. We only must recognize that we don't get started with the exact same scenario In this instance. Here is the code (load_data_08.py):
You can find extra things that I would like to check out with MyISAM, like viewing the effect in the many row formats (fixed), but I desired to comply with up for other engines.
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