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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 780991910 | https://github.com/simonw/datasette/issues/283#issuecomment-780991910 | https://api.github.com/repos/simonw/datasette/issues/283 | MDEyOklzc3VlQ29tbWVudDc4MDk5MTkxMA== | rayvoelker 9308268 | 2021-02-18T02:13:56Z | 2021-02-18T02:13:56Z | NONE | I was going ask you about this issue when we talk during your office-hours schedule this Friday, but was there any support ever added for doing this cross-database joining? I have a use-case where could be pretty neat to do analysis using this tool on time-specific databases from snapshots https://ilsweb.cincinnatilibrary.org/collection-analysis/  and thanks again for such an amazing tool! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Support cross-database joins 325958506 | |
| 873166836 | https://github.com/simonw/datasette/issues/1387#issuecomment-873166836 | https://api.github.com/repos/simonw/datasette/issues/1387 | MDEyOklzc3VlQ29tbWVudDg3MzE2NjgzNg== | rayvoelker 9308268 | 2021-07-02T17:58:23Z | 2021-07-02T17:58:23Z | NONE | Thanks Simon for nailing that one down! It does seem a little confusing that the ProxyPreservehost option is set to Off By default, but this config totally did the trick and fixed the issue ``` <Location /collection-analysis/> ProxyPass http://127.0.0.1:8010/collection-analysis/ ProxyPreservehost On </Location> ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | absolute_url() behind a proxy assembles incorrect http://127.0.0.1:8001/ URLs 935930820 | |
| 876428348 | https://github.com/simonw/datasette/issues/268#issuecomment-876428348 | https://api.github.com/repos/simonw/datasette/issues/268 | MDEyOklzc3VlQ29tbWVudDg3NjQyODM0OA== | rayvoelker 9308268 | 2021-07-08T13:13:12Z | 2021-07-08T13:13:12Z | NONE | I had setup a full text search on my instance of Datasette for title data for our public library, and was noticing that some of the features of the SQLite FTS weren't working as expected ... and maybe the issue is in the `escape_fts()` function  vs removing the function...  Also, on the issue of sorting by rank by default .. perhaps something like this could work for the baked-in default SQL query for Datasette?  [link to the above search in my instance of Datasette](https://ilsweb.cincinnatilibrary.org/collection-analysis/current_collection-87a9011?sql=with+fts_search+as+%28%0D%0A++select%0D%0A++rowid%2C%0D%0A++rank%0D%0A++++from%0D%0A++++++bib_fts%0D%0A++++where%0D%0A++++++bib_fts+match+%3Asearch%0D%0A%29%0D%0A%0D%0Aselect%0D%0A++%0D%0A++bib_record_num%2C%0D%0A++creation_date%2C%0D%0A++record_last_updated%2C%0D%0A++isbn%2C%0D%0A++best_author%2C%0D%0A++best_title%2C%0D%0A++publisher%2C%0D%0A++publish_year%2C%0D%0A++bib_level_callnumber%2C%0D%0A++indexed_subjects%0D%0Afrom%0D%0A++fts_search%0D%0A++join+bib+on+bib.rowid+%3D+fts_search.rowid%0D%0A++%0D%0Aorder+by%0D%0Arank%0D%0A&search=black+death+NOT+fiction) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Mechanism for ranking results from SQLite full-text search 323718842 | |
| 876721585 | https://github.com/simonw/datasette/issues/268#issuecomment-876721585 | https://api.github.com/repos/simonw/datasette/issues/268 | MDEyOklzc3VlQ29tbWVudDg3NjcyMTU4NQ== | rayvoelker 9308268 | 2021-07-08T20:22:17Z | 2021-07-08T20:22:17Z | NONE | I do like the idea of there being a option for turning that on by default so that you could use those terms in the default "Search" bar presented when you browse to a table where FTS has been enabled. Maybe even a small inline pop up with a short bit explaining the FTS feature and the keywords (e.g. case matters). What are the side-effects of turning that on in the query string, or even by default as you suggested? I see that you stated in the docs... "to ensure they do not cause any confusion for users who are not aware of them", but I'm not sure what those could be. Isn't it the case that those keywords are only picked up by sqlite in where you're using the MATCH clause? Seems like a really powerful feature (even though there are a lot of hurdles around setting it up in the sqlite db ... sqlite-utils makes that so simple by the way!) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Mechanism for ranking results from SQLite full-text search 323718842 | |
| 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 | |
| 988459453 | https://github.com/simonw/datasette/issues/1304#issuecomment-988459453 | https://api.github.com/repos/simonw/datasette/issues/1304 | IC_kwDOBm6k_c466rG9 | rayvoelker 9308268 | 2021-12-08T03:15:27Z | 2021-12-08T03:15:27Z | NONE | I was thinking if there were a way to use some sort of sting function to "unpack" the values and convert them into ints... hm | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Document how to send multiple values for "Named parameters" 863884805 | |
| 998999230 | https://github.com/simonw/datasette/issues/1181#issuecomment-998999230 | https://api.github.com/repos/simonw/datasette/issues/1181 | IC_kwDOBm6k_c47i4S- | rayvoelker 9308268 | 2021-12-21T18:25:15Z | 2021-12-21T18:25:15Z | NONE | I wonder if I'm encountering the same bug (or something related). I had previously been using the .csv feature to run queries and then fetch results for the pandas `read_csv()` function, but it seems to have stopped working recently. https://ilsweb.cincinnatilibrary.org/collection-analysis/collection-analysis/current_collection-3d56dbf.csv?sql=select%0D%0A++*%0D%0Afrom%0D%0A++bib%0D%0Alimit%0D%0A++100&_size=max Datasette v0.59.4  | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Certain database names results in 404: "Database not found: None" 781262510 | |
| 1099443468 | https://github.com/simonw/datasette/issues/1713#issuecomment-1099443468 | https://api.github.com/repos/simonw/datasette/issues/1713 | IC_kwDOBm6k_c5BiC0M | rayvoelker 9308268 | 2022-04-14T17:26:27Z | 2022-04-14T17:26:27Z | NONE | What would be an awesome feature as a plugin would be to be able to save a query (and possibly even results) to a github gist. Being able to share results that way would be super fantastic. Possibly even in Jupyter Notebook format (since github and github gists nicely render those)! I know there's the handy datasette-saved-queries plugin, but a button that could export stuff out and then even possibly import stuff back in (I'm sort of thinking the way that Google Colab allows you to save to github, and then pull the notebook back in is a really great workflow  https://github.com/cincinnatilibrary/collection-analysis/blob/master/reports/colab_datasette_example.ipynb ) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Datasette feature for publishing snapshots of query results 1203943272 | |
| 1116336340 | https://github.com/simonw/sqlite-utils/issues/430#issuecomment-1116336340 | https://api.github.com/repos/simonw/sqlite-utils/issues/430 | IC_kwDOCGYnMM5CifDU | rayvoelker 9308268 | 2022-05-03T17:03:31Z | 2022-05-03T17:03:31Z | NONE | So, the good news is that it appears that setting one of those PRAGMA statements fixed the issue of `table.extract()` method call on this large database completing (that I described above.) The bad news is that I'm not sure which one! I wonder if it's something system / environment specific about SQLite, or maybe something else going on. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Document how to use `PRAGMA temp_store` to avoid errors when running VACUUM against huge databases 1224112817 |
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