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As I discussed on my last publish, wherever I when compared the default configurations possibilities in 5.6 and five.7, I are already doing a little testing for a particular load in many versions of MySQL. What I are already examining is different ways to load a CSV file (the identical file I used for screening the compression instruments) into MySQL. For those seasoned MySQL DBAs and programmers, you almost certainly know the answer, so that you can Hop over to my five.
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Let’s say I am a developer becoming tasked with loading a file consistently into MySQL- how would I do that? I might likely be tempted to work with a CSV parsing library, the mysql connector and backlink them alongside one another within a loop. That could do the job, wouldn’t it? The leading areas of the code would appear like this (load_data_01.py):
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Indeed, the insertions are all finished from an in-Principal-important-get export of the exact same desk. In addition to Tim’s ideas, I also did not go intimately about the overall performance penalty (or I really should say, lack of gain) from the binary very long crafting and also the InnoDB batch import, While Jeremy did it a short while ago in incredibly Visible way Each are things which I may test from the promised follow up.
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Your testing is absolutely fascinating and shut from what my modern screening, my tests is loading a 150M file to some table ( by load info infile ) with random varchar Key critical, it can get to about 6MB/s insert amount but still can’t beat MyISAM ( ten occasions more rapidly). And many thanks! your benchmark verify that I am not on your own to the InnoDB limitation.
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