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id | html_url | issue_url | node_id | user | created_at | updated_at ▼ | author_association | body | reactions | issue | performed_via_github_app |
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1223378004 | https://github.com/simonw/sqlite-utils/issues/235#issuecomment-1223378004 | https://api.github.com/repos/simonw/sqlite-utils/issues/235 | IC_kwDOCGYnMM5I60RU | wpears 1558033 | 2022-08-23T00:44:11Z | 2022-08-23T00:44:11Z | NONE | This bug affects me as well. Env: ``` Python 3.8.12 sqlite-utils, version 3.28 sqlite3 3.32.3 MacOS Big Sur 11.6.7 Intel ``` Similar to @mdrovdahl, I was able to work around this bug by piping the SQL string constructed in `add_foreign_keys` to the `sqlite3` command itself. Specifically, if you're trying to patch this yourself, replace [lines 1026-1039 of db.py in your site packages](https://github.com/simonw/sqlite-utils/blob/main/sqlite_utils/db.py#L1026-L1039) with something similar to the following: ``` print("PRAGMA writable_schema = 1;") for table_name, new_sql in table_sql.items(): print("UPDATE sqlite_master SET sql = '{}' WHERE name = '{}';".format( new_sql, table_name) ) print("PRAGMA writable_schema = 0;") print("VACUUM;") ``` Then from your terminal: `db-to-sqlite "<connection string>" your.db --all > output.sql && sqlite3 your.db < output.sql` If you want to run this with `-p`, you'll have to actually open a file in code to write to instead of redirecting the output. | {"total_count": 3, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 3, "rocket": 0, "eyes": 0} | Extract columns cannot create foreign key relation: sqlite3.OperationalError: table sqlite_master may not be modified 810618495 | |
1224080105 | https://github.com/simonw/datasette/issues/1791#issuecomment-1224080105 | https://api.github.com/repos/simonw/datasette/issues/1791 | IC_kwDOBm6k_c5I9frp | ment4list 1780782 | 2022-08-23T13:29:51Z | 2022-08-23T13:29:51Z | NONE | For now I've installed datasette via homebrew. I then converted my CSV to SQLite via sqlite-utils as per the article [Cleaning data with sqlite](https://datasette.io/tutorials/clean-data). Now I can use my `metadata.json` file as follows: `datasette mydb.db -m mymetadata.json` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Updating metadata.json on Datasette for MacOS 1347717749 |
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