issue_comments: 474407617
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/420#issuecomment-474407617 | https://api.github.com/repos/simonw/datasette/issues/420 | 474407617 | MDEyOklzc3VlQ29tbWVudDQ3NDQwNzYxNw== | 9599 | 2019-03-19T14:55:51Z | 2019-03-19T14:55:51Z | OWNER | A microbenchmark against `fivethirtyeight.db` (415 tables): In [1]: import sqlite3 In [2]: c = sqlite3.connect("fivethirtyeight.db") In [3]: %timeit c.execute("select name from sqlite_master where type = 'table'").fetchall() 283 µs ± 12.3 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) In [4]: tables = [r[0] for r in c.execute("select name from sqlite_master where type = 'table'").fetchall()] In [5]: len(tables) Out[5]: 415 In [6]: %timeit [c.execute("pragma foreign_keys([{}])".format(t)).fetchall() for t in tables] 1.81 ms ± 161 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) So running `pragma foreign_keys()` against 415 tables only takes 1.81ms. This is going to be fine. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 421971339 |