issue_comments: 1111595319
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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/1727#issuecomment-1111595319 | https://api.github.com/repos/simonw/datasette/issues/1727 | 1111595319 | IC_kwDOBm6k_c5CQZk3 | 9599 | 2022-04-28T00:09:45Z | 2022-04-28T00:11:01Z | OWNER | Here's where read queries are instrumented: https://github.com/simonw/datasette/blob/7a6654a253dee243518dc542ce4c06dbb0d0801d/datasette/database.py#L241-L242 So the instrumentation is actually capturing quite a bit of Python activity before it gets to SQLite: https://github.com/simonw/datasette/blob/7a6654a253dee243518dc542ce4c06dbb0d0801d/datasette/database.py#L179-L190 And then: https://github.com/simonw/datasette/blob/7a6654a253dee243518dc542ce4c06dbb0d0801d/datasette/database.py#L204-L233 Ideally I'd like that `trace()` block to wrap just the `cursor.execute()` and `cursor.fetchmany(...)` or `cursor.fetchall()` calls. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1217759117 |