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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 709705624 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-709705624 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | MDEyOklzc3VlQ29tbWVudDcwOTcwNTYyNA== | simonw 9599 | 2020-10-16T03:14:39Z | 2020-10-16T03:14:39Z | OWNER | How should this work with extractions covering multiple columns? If there's a single column then it makes sense that a `null` value would not be extracted into the lookup table, but would instead become stay as `null`. For a multiple column extraction, provided at least one of those columns is not null It should map to a record in the lookup table. Only if ALL of the extracted columns are null should the lookup value stay null. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 | |
| 709705885 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-709705885 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | MDEyOklzc3VlQ29tbWVudDcwOTcwNTg4NQ== | simonw 9599 | 2020-10-16T03:15:39Z | 2020-10-16T03:15:39Z | OWNER | The alternative solution here would be that a single `null` value DOES get extracted. To implement this I would need to add some logic that uses `is null` instead of `=`. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 | |
| 709706065 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-709706065 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | MDEyOklzc3VlQ29tbWVudDcwOTcwNjA2NQ== | simonw 9599 | 2020-10-16T03:16:22Z | 2020-10-16T03:16:22Z | OWNER | Either way I think I'm going to need to add some SQL which uses `where a = b or (a is null and b is null)`. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 | |
| 709706260 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-709706260 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | MDEyOklzc3VlQ29tbWVudDcwOTcwNjI2MA== | simonw 9599 | 2020-10-16T03:17:02Z | 2020-10-16T03:17:17Z | OWNER | Actually I think this should be an option to `.extract()` which controls if nulls are extracted or left alone. Maybe called `extract_nulls=True/False`. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 | |
| 710198162 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-710198162 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | MDEyOklzc3VlQ29tbWVudDcxMDE5ODE2Mg== | simonw 9599 | 2020-10-16T16:41:00Z | 2020-10-16T16:41:00Z | OWNER | Failing test: ```python def test_extract_null_values(fresh_db): fresh_db["species"].insert({"id": 1, "species": "Wolf"}, pk="id") fresh_db["individuals"].insert_all( [ {"id": 10, "name": "Terriana", "species": "Fox"}, {"id": 11, "name": "Spenidorm", "species": None}, {"id": 12, "name": "Grantheim", "species": "Wolf"}, {"id": 13, "name": "Turnutopia", "species": None}, {"id": 14, "name": "Wargal", "species": "Wolf"}, ], pk="id", ) fresh_db["individuals"].extract("species") assert fresh_db["species"].schema == ( "CREATE TABLE [species] (\n" " [id] INTEGER PRIMARY KEY,\n" " [species] TEXT\n" ")" ) assert fresh_db["individuals"].schema == ( 'CREATE TABLE "individuals" (\n' " [id] INTEGER PRIMARY KEY,\n" " [name] TEXT,\n" " [species_id] INTEGER,\n" " FOREIGN KEY(species_id) REFERENCES species(id)\n" ")" ) assert list(fresh_db["species"].rows) == [ {"id": 1, "species": "Wolf"}, {"id": 2, "species": "Fox"}, ] assert list(fresh_db["individuals"].rows) == [ {"id": 10, "name": "Terriana", "species_id": 2}, {"id": 11, "name": "Spenidorm", "species_id": None}, {"id": 12, "name": "Grantheim", "species_id": 1}, {"id": 13, "name": "Turnutopia", "species_id": None}, {"id": 14, "name": "Wargal", "species_id": 1}, ] ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 | |
| 897588624 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-897588624 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | IC_kwDOCGYnMM41gB2Q | rayvoelker 9308268 | 2021-08-12T12:13:25Z | 2021-08-12T12:13:25Z | NONE | I think I ran into an issue that's perhaps related with `extract()` I have a case where I want to create a lookup table for all the related title data where there are possibly multiple null values in the related columns .... ```python3 sql = """\ INSERT INTO "circulation_info" ("item_id", "bib_title", "bib_creator", "bib_format", "bib_pub_year", "checkout_date") VALUES (1, "title one", "creator one", "Book", 2018, "2021-08-12 00:01"), (2, "title two", "creator one", "Book", 2019, "2021-08-12 00:02"), (3, "title three", NULL, "DVD", 2020, "2021-08-12 00:03"), (4, "title four", NULL, "DVD", NULL, "2021-08-12 00:04"), (5, "title five", NULL, "DVD", NULL, "2021-08-12 00:05") """ with sqlite3.connect('test_bib.db') as con: con.execute(sql) ``` when I run the `extract()` method ... ```python3 db["circulation_info"].extract( [ "bib_title", "bib_creator", "bib_format" ], table="bib_info", fk_column="bib_info_id" ) db = sqlite_utils.Database("test_bib.db") for row in db["circulation_info"].rows: print(row) print("\n---\n") for row in db["bib_info"].rows: print(row) ``` results in this .. ``` {'id': 1, 'item_id': 1, 'bib_info_id': 1, 'bib_pub_year': 2018, 'checkout_date': '2021-08-12 00:01'} {'id': 2, 'item_id': 2, 'bib_info_id': 2, 'bib_pub_year': 2019, 'checkout_date': '2021-08-12 00:02'} {'id': 3, 'item_id': 3, 'bib_info_id': None, 'bib_pub_year': 2020, 'checkout_date': '2021-08-12 00:03'} {'id': 4, 'item_id': 4, 'bib_info_id': None, 'bib_pub_year': None, 'checkout_date': '2021-08-12 00:04'} {'id': 5, 'item_id': 5, 'bib_info_id': None, 'bib_pub_year': None, 'checkout_date': '2021-08-12 00:05'} --- {'id': 1, 'bib_title': 'title one', 'bib_creator': 'creator one', 'bib_format': 'Book'} {'id': 2, 'bib_title': 'title two', 'bib_creator': 'creator one', 'bib_format': 'Book'} {'id': 3, 'bib_title': 'title three', 'bib_creator': None, 'bib_format': 'DVD'} {'id': 4, 'bib_title': 'title four', 'bib_cre… | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 | |
| 897600677 | https://github.com/simonw/sqlite-utils/issues/186#issuecomment-897600677 | https://api.github.com/repos/simonw/sqlite-utils/issues/186 | IC_kwDOCGYnMM41gEyl | rayvoelker 9308268 | 2021-08-12T12:32:14Z | 2021-08-12T12:32:14Z | NONE | Actually, I forgot to include the `bib_pub_year` in the extract ... But also, I tried again with empty string values instead of `NULL` values and it seems to place the foreign key properly / correctly... ```python3 sql = """\ INSERT INTO "circulation_info" ("item_id", "bib_title", "bib_creator", "bib_format", "bib_pub_year", "checkout_date") VALUES (1, "title one", "creator one", "Book", 2018, "2021-08-12 00:01"), (2, "title two", "creator one", "Book", 2019, "2021-08-12 00:02"), (3, "title three", "", "DVD", 2020, "2021-08-12 00:03"), (4, "title four", "", "DVD", "", "2021-08-12 00:04"), (5, "title five", "", "DVD", "", "2021-08-12 00:05") """ with sqlite3.connect('test_bib_2.db') as con: con.execute(sql) ``` ```python3 db["circulation_info"].extract( [ "bib_title", "bib_creator", "bib_format", "bib_pub_year" ], table="bib_info", fk_column="bib_info_id" ) ``` ``` {'id': 1, 'item_id': 1, 'bib_info_id': 1, 'bib_pub_year': 2018, 'checkout_date': '2021-08-12 00:01'} {'id': 2, 'item_id': 2, 'bib_info_id': 2, 'bib_pub_year': 2019, 'checkout_date': '2021-08-12 00:02'} {'id': 3, 'item_id': 3, 'bib_info_id': 3, 'bib_pub_year': 2020, 'checkout_date': '2021-08-12 00:03'} {'id': 4, 'item_id': 4, 'bib_info_id': 4, 'bib_pub_year': '', 'checkout_date': '2021-08-12 00:04'} {'id': 5, 'item_id': 5, 'bib_info_id': 5, 'bib_pub_year': '', 'checkout_date': '2021-08-12 00:05'} --- {'id': 1, 'bib_title': 'title one', 'bib_creator': 'creator one', 'bib_format': 'Book'} {'id': 2, 'bib_title': 'title two', 'bib_creator': 'creator one', 'bib_format': 'Book'} {'id': 3, 'bib_title': 'title three', 'bib_creator': '', 'bib_format': 'DVD'} {'id': 4, 'bib_title': 'title four', 'bib_creator': '', 'bib_format': 'DVD'} {'id': 5, 'bib_title': 'title five', 'bib_creator': '', 'bib_format': 'DVD'} ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | .extract() shouldn't extract null values 722816436 |
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