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The subsequent question is just not: can we do it much better, but, can we get it done even slower? A particular textual content attract my interest when thinking about the MySQL connector documentation:
The quickest way you could import a table into MySQL without having employing Uncooked information could be the LOAD Details syntax. Use parallelization for InnoDB for better results, and make sure to tune primary parameters like your transaction log size and buffer pool.
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csv file into eight chunks. It should not eat Significantly time, though the minimal synchronization tools within the default threading library, along with my confined time made me go for this program. We only need to recognize that we do not get started with the very same state of affairs In such cases. This can be the code (load_data_08.py):
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In case you obtain a column from your table being up to date in an expression, UPDATE takes advantage of The present value of the column. For example, the next assertion sets col1 to one more than its present-day price: