issues: 1175854982
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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| 1175854982 | I_kwDOBm6k_c5GFh-G | 1679 | Research: how much overhead does the n=1 time limit have? | 9599 | closed | 0 | 3268330 | 11 | 2022-03-21T19:27:46Z | 2022-03-21T21:55:57Z | 2022-03-21T21:55:56Z | OWNER | https://github.com/simonw/datasette/blob/1a7750eb29fd15dd2eea3b9f6e33028ce441b143/datasette/utils/__init__.py#L181-L200 ```python @contextmanager def sqlite_timelimit(conn, ms): deadline = time.perf_counter() + (ms / 1000) # n is the number of SQLite virtual machine instructions that will be # executed between each check. It's hard to know what to pick here. # After some experimentation, I've decided to go with 1000 by default and # 1 for time limits that are less than 50ms n = 1000 if ms < 50: n = 1 def handler(): if time.perf_counter() >= deadline: return 1 conn.set_progress_handler(handler, n) try: yield finally: conn.set_progress_handler(None, n) ``` How often do I set a time limit of 50 or less? How much slower does it go thanks to this code? | 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1679/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed |