![]() ![]() How to convert SQLite values to custom Python types How to adapt custom Python types to SQLite values Some index types can be build faster when all of the data is known ahead of time, versus a constant stream of new information that it has to inject into a balanced data structure.How to use placeholders to bind values in SQL queries Then you have the option of restarting the process.įor bootstrapping a database, another common trick is to drop all indexes, create the data, then recreate the indexes. Going a block at a time should mean you can turn journalling back on, as well. In SQLite it appears the right answer was to use transactions, but INSERT. In normal SQL you would INSERT 100 rows at once, for instance (in some databases the query has a max length, so your batch size may vary.) If you want to start working on the next batch while the previous one is being processed, that's fine, but you want to limit the number that are in-flight at the same time. What you want to do is generate dozens or hundreds of rows at once, and insert them a block at a time. ![]() Thank you!īulk operations don't use fine-grained concurrency, they used course-grained concurrency (aka batching). I would also appreciate if you check my rust code and provide any suggestions. So I am close to 1B rows, but not there yet. There is another multi-processing solution I am currently exploring which might let me insert 800M rows under a minute. I have managed to insert 100M rows under 33 seconds using rust.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |