issue_comments: 882052693
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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/sqlite-utils/issues/297#issuecomment-882052693 | https://api.github.com/repos/simonw/sqlite-utils/issues/297 | 882052693 | IC_kwDOCGYnMM40kw5V | 9599 | 2021-07-18T12:57:54Z | 2022-06-21T13:17:15Z | OWNER | Another implementation option would be to use the CSV virtual table mechanism. This could avoid shelling out to the `sqlite3` binary, but requires solving the harder problem of compiling and distributing a loadable SQLite module: https://www.sqlite.org/csv.html (Would be neat to produce a Python wheel of this, see https://simonwillison.net/2022/May/23/bundling-binary-tools-in-python-wheels/) This would also help solve the challenge of making this optimization available to the `sqlite-utils memory` command. That command operates against an in-memory database so it's not obvious how it could shell out to a binary. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 944846776 |