github
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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1436539554 | I_kwDOCGYnMM5Vn9qi | 511 | [insert_all, upsert_all] IntegrityError: constraint failed | 7908073 | closed | 0 | 2 | 2022-11-04T19:21:48Z | 2022-11-04T22:59:54Z | 2022-11-04T22:54:09Z | CONTRIBUTOR | My understand is that `INSERT OR IGNORE` will ignore when inserts would cause duplicate keys so I'm not sure exactly why the error is raised from `sqlite3`. ``` import argparse from pathlib import Path from xklb import db, utils from xklb.utils import log def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser() parser.add_argument("database") parser.add_argument("dbs", nargs="*") parser.add_argument("--upsert") parser.add_argument("--db", "-db", help=argparse.SUPPRESS) parser.add_argument("--verbose", "-v", action="count", default=0) args = parser.parse_args() if args.db: args.database = args.db Path(args.database).touch() args.db = db.connect(args) log.info(utils.dict_filter_bool(args.__dict__)) return args def merge_db(args, source_db): source_db = str(Path(source_db).resolve()) s_db = db.connect(argparse.Namespace(database=source_db, verbose=args.verbose)) for table in [s for s in s_db.table_names() if not "_fts" in s and not s.startswith("sqlite_")]: log.info("[%s]: %s", source_db, table) with s_db.conn: data = s_db[table].rows with args.db.conn: if args.upsert: args.db[table].upsert_all(data, pk=args.upsert.split(","), alter=True) else: args.db[table].insert_all(data, alter=True, replace=True) def merge_dbs(): args = parse_args() for s_db in args.dbs: merge_db(args, s_db) if __name__ == "__main__": merge_dbs() ``` ``` $ lb-dev merge video.db tube_71.db --upsert path -vv SQL: INSERT OR IGNORE INTO [media]([path]) VALUES(?); - params: ['https://archive.org/details/088ghostofachanceroygetssackedrevengeofthelivinglunchdvdripxvidphz'] ... File ~/.local/lib/python3.10/site-packages/sqlite_utils/db.py:3122, in Table.insert_all(self, records, pk, foreign_keys, column_order, not_null, defaults, batch_size, hash_id, hash_id_columns, alter, ignore, re… | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/511/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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473083260 | MDU6SXNzdWU0NzMwODMyNjA= | 50 | "Too many SQL variables" on large inserts | 9599 | closed | 0 | 4 | 2019-07-25T21:43:31Z | 2022-11-04T14:38:36Z | 2019-07-28T11:59:33Z | OWNER | Reported here: https://github.com/dogsheep/healthkit-to-sqlite/issues/9 It looks like there's a default limit of 999 variables - we need to be smart about that, maybe dynamically lower the batch size based on the number of columns. | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/50/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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802513359 | MDU6SXNzdWU4MDI1MTMzNTk= | 1217 | Possible to deploy as a python app (for Rstudio connect server)? | 6165713 | open | 0 | 4 | 2021-02-05T22:21:24Z | 2022-11-04T11:37:52Z | NONE | Is it possible to deploy a `datasette` application as a python web app? In my enterprise, I have option to deploy python apps via [Rstudio Connect](https://github.com/rstudio/rsconnect-python), and I would like to publish a `datasette` dashboard for sharing. I welcome any pointers to converting `datasette serve` into a python app that can be run as something like `python datasette.py --my_data.db` | 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1217/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |