issue_comments: 648163272
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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/859#issuecomment-648163272 | https://api.github.com/repos/simonw/datasette/issues/859 | 648163272 | MDEyOklzc3VlQ29tbWVudDY0ODE2MzI3Mg== | 9599 | 2020-06-23T13:52:23Z | 2020-06-23T13:52:23Z | OWNER | I'm chunking inserts at 100 at a time right now: https://github.com/simonw/sqlite-utils/blob/4d9a3204361d956440307a57bd18c829a15861db/sqlite_utils/db.py#L1030 I think the performance is more down to using Faker to create the test data - generating millions of entirely fake, randomized records takes a fair bit of time. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 642572841 |