github
html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/2067#issuecomment-1532304714 | https://api.github.com/repos/simonw/datasette/issues/2067 | 1532304714 | IC_kwDOBm6k_c5bVR1K | 39538958 | 2023-05-03T00:16:03Z | 2023-05-03T00:16:03Z | NONE | Curiously, after running commands on the database that was litestream-restored, datasette starts to work again, e.g. ```sh litestream restore -o data/db.sqlite s3://mytestbucketxx/db datasette data/db.sqlite # fails (OperationalError described above) ``` ```sh litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite-utils enable-wal data/db.sqlite datasette data/db.sqlite # works ``` ```sh litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite-utils optimize data/db.sqlite datasette data/db.sqlite # works ``` ```sh litestream restore -o data/db.sqlite s3://mytestbucketxx/db sqlite3 data/db.sqlite ".clone test.db" datasette test.db # works ``` | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/sqlite-utils/issues/496#issuecomment-1294408928 | https://api.github.com/repos/simonw/sqlite-utils/issues/496 | 1294408928 | IC_kwDOCGYnMM5NJxzg | 39538958 | 2022-10-28T03:36:56Z | 2022-10-28T03:37:50Z | NONE | With respect to the typing of Table class itself, my interim solution: ```python from sqlite_utils.db import Table def tbl(self, table_name: str) -> Table: tbl = self.db[table_name] if isinstance(tbl, Table): return tbl raise Exception(f"Missing {table_name=}") ``` With respect to @chapmanjacobd concern on the `DEFAULT` being an empty class, have also been using `# type: ignore`, e.g. ```python @classmethod def insert_list(cls, areas: list[str]): return meta.tbl(meta.Areas).insert_all( ({"area": a} for a in areas), ignore=True # type: ignore ) ``` | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1082#issuecomment-721547177 | https://api.github.com/repos/simonw/datasette/issues/1082 | 721547177 | MDEyOklzc3VlQ29tbWVudDcyMTU0NzE3Nw== | 39538958 | 2020-11-04T06:52:30Z | 2020-11-04T06:53:16Z | NONE | I think I tried the same db size on the following scenarios in Digital Ocean: 1. Basic ($5/month) with 512MB RAM 2. Basic ($10/month) with 1GB RAM 3. Pro ($12/month) with 1GB RAM All such attempts conked out with "out of memory" errors | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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