issue_comments: 968361285
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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/335#issuecomment-968361285 | https://api.github.com/repos/simonw/sqlite-utils/issues/335 | 968361285 | IC_kwDOCGYnMM45uAVF | 9599 | 2021-11-14T20:51:57Z | 2021-11-14T20:51:57Z | OWNER | SQLite will happily create multiple identical indexes on a table, using more disk space each time: ```pycon >>> import sqlite_utils >>> db = sqlite_utils.Database("dupes.db") >>> db["t"].insert_all({"id": i} for i in range(10000)) <Table t (id)> # dupes.db is 98304 bytes >>> db["t"].create_index(["id"]) <Table t (id)> # dupes.db is 204800 bytes >>> db["t"].indexes [Index(seq=0, name='idx_t_id', unique=0, origin='c', partial=0, columns=['id'])] >>> db["t"].create_index(["id"], index_name="t_idx_t_id_2") <Table t (id)> # 311296 bytes >>> db["t"].create_index(["id"], index_name="t_idx_t_id_3") <Table t (id)> # 417792 bytes >>> db.vacuum() # Still 417792 bytes ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1042569687 |