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As I discussed on my very last put up, the place I compared the default configurations selections in 5.6 and five.7, I are actually doing some tests for a particular load in several variations of MySQL. What I have been examining is various ways to load a CSV file (the identical file I used for testing the compression equipment) into MySQL. For all those seasoned MySQL DBAs and programmers, you most likely know The solution, so that you can jump over to my 5.
Simple, isn’t it? With this particular we have been reducing the SQL overhead, and executing the loop in the compiled C MySQL code. Allow’s take a look at the results (lessen is best):
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In cases like this, MyISAM has an exceptionally spectacular advancement – LOAD Info hurries up to 12x times the import. InnoDB, again nonetheless each While using the default parameters can Increase the increase Clicking Here to 3x situations, and more significantly in the more recent variations (five.
MyISAM writes to tables utilizing a complete table lock (even though it can conduct in some instances concurrent inserts), but InnoDB only involves row-amount locks in many scenarios. Can we speed up the process by accomplishing a parallel loading? This is certainly what I tried to take a look at with my last examination. I never believe in my programming competencies (or don't have time) to complete the file-trying to get and chunking within a performant way, so I will start with a pre-sliced .
I depart as being a homework as being a reader to check it for other engines, like MEMORY or CSV [Hint: Perhaps we could import to this hottest engine in another way