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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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1978603203 | I_kwDOCGYnMM517xbD | 602 | `sqlite-utils transform` removes the `AUTOINCREMENT` keyword | ArsTapatun 4472046 | open | 0 | 0 | 2023-11-06T08:48:43Z | 2023-11-06T08:48:43Z | NONE | ContextWe ran into this bug randomly, noticing that deleted Reproducible exampleOriginal database ```sql $ sqlite3 test.db << EOF CREATE TABLE mytable ( col1 INTEGER PRIMARY KEY AUTOINCREMENT, col2 TEXT NOT NULL ) EOF $ sqlite3 test.db ".schema mytable" CREATE TABLE mytable ( col1 INTEGER PRIMARY KEY AUTOINCREMENT, col2 TEXT NOT NULL ); ``` Modified database after sqlite-utils ```sql $ sqlite-utils transform test.db mytable --rename col2 renamedcol2 $ sqlite3 test.db "SELECT sql FROM sqlite_master WHERE name = 'mytable';" CREATE TABLE IF NOT EXISTS "mytable" ( [col1] INTEGER PRIMARY KEY, [renamedcol2] TEXT NOT NULL ); ``` |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/602/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1920416843 | I_kwDOCGYnMM5ydzxL | 597 | sqlite-utils insert-files should be able to convert fields | grimnight 1737541 | open | 0 | 0 | 2023-09-30T22:20:47Z | 2023-09-30T22:20:47Z | NONE | Currently using both ```shell ~ ❯ cat test.py import os class Example: def init(self, arg1, arg2): self.arg1 = arg1 ~ ❯ sqlite-utils insert-files test.sqlar sqlar test.py -c name:name -c data:content -c mode:mode -c mtime:mtime -c sz:size --pk=name [####################################] 100% ~ ❯ sqlite-utils convert test.sqlar sqlar data "zlib.compress(value)" --import=zlib --where "name = 'test.py'" [####################################] 100% ~ ❯ cat test.py | sqlite-utils convert test.sqlar sqlar data "zlib.compress(sys.stdin.buffer.read())" --import=zlib --import=sys --where "name = 'test.py'" # Alternative way [####################################] 100% ~ ❯ sqlite3 test.sqlar "SELECT hex(data) FROM sqlar WHERE name = 'test.py';" | python3 -c "import sys, zlib; sys.stdout.buffer.write(zlib.decompress(bytes.fromhex(sys.stdin.read())))" import os class Example: def init(self, arg1, arg2): self.arg1 = arg1 ~ ❯ rm test.py ~ ❯ sqlar -l test.sqlar test.py ~ ❯ sqlar -x test.sqlar ~ ❯ cat test.py import os class Example: def init(self, arg1, arg2): self.arg1 = arg1 ``` |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/597/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1754174496 | I_kwDOCGYnMM5ojpQg | 558 | Ability to define unique columns when creating a table | aguinane 1910303 | open | 0 | 0 | 2023-06-13T06:56:19Z | 2023-08-18T01:06:03Z | NONE | When creating a new table, it would be good to have an option to set unique columns similar to how not_null is set. ```python from sqlite_utils import Database columns = {"mRID": str, "name": str} db = Database("example.db") db["ExampleTable"].create(columns, pk="mRID", not_null=["mRID"], if_not_exists=True) db["ExampleTable"].create_index(["mRID"], unique=True, if_not_exists=True) ``` So something like this would add the UNIQUE flag to the table definition.
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sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/558/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1839344979 | I_kwDOCGYnMM5toi1T | 582 | Handling CSV/file input that contains NUL bytes | betatim 1448859 | open | 0 | 0 | 2023-08-07T12:24:14Z | 2023-08-07T12:24:14Z | NONE | I was using sqlite-utils to create a DB from a CSV and it turns out the CSV contains a NUL byte. When the processing reaches the line that contains the NUL an exception is raised. I'm wondering if there is something that can be done in Concretely the file is the This is the command and output:
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sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/582/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1822918995 | I_kwDOCGYnMM5sp4lT | 580 | Add way to export to a csv file using the Python library | kevinlinxc 44324811 | open | 0 | 0 | 2023-07-26T18:09:26Z | 2023-07-26T18:09:26Z | NONE | According to the documentation, we can make a csv output using the CLI tool, but not the Python library. Could we have the latter? |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/580/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1550536442 | I_kwDOCGYnMM5ca076 | 521 | Custom JSON encoder | janrito 31504 | open | 0 | 0 | 2023-01-20T09:19:40Z | 2023-01-20T09:19:40Z | NONE | It would be nice if we could specify a custom encoder (and decoder) for types that will need extra deserialisation – e.g., sets, enums or sparse matrices – or even project-specific types |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/521/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1453134846 | I_kwDOCGYnMM5WnRP- | 513 | Add or document streamlined workflow for importing Datasette csv / json exports | henry501 19328961 | open | 0 | 0 | 2022-11-17T10:54:47Z | 2022-11-17T10:54:47Z | NONE | I'm working on some small front-end enhancements to the laion-aesthetic-datasette project, and I wanted to partially populate a database directly using exports from the existing Datasette instance instead of downloading the parquet files and creating my own multi-GB database. There have been a number of small issues that are certainly related to my relative lack of familiarity with the toolkit, but that are still surprising. For example: a CSV export of the images table (http://laion-aesthetic.datasette.io/laion-aesthetic-6pls.csv?sql=select+rowid%2C+url%2C+text%2C+domain_id%2C+width%2C+height%2C+similarity%2C+punsafe%2C+pwatermark%2C+aesthetic%2C+hash%2C+index_level_0+from+images+order+by+random%28%29+limit+100) has nested single quotes, double quotes, and commas that aren't handled by rows_from_file. Similarly, the json output has to be manually transformed to add the column names and remove extraneous information before sqlite_utils can import it. I was able to work through these issues, but as an enhancement it would be really helpful to create or document a clear workflow that avoids the friction of this data transformation. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/513/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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818684978 | MDU6SXNzdWU4MTg2ODQ5Nzg= | 243 | How can i use this utils to deal with fts on column meta of tables ? | svjack 27874014 | open | 0 | 0 | 2021-03-01T09:45:05Z | 2021-03-01T09:45:05Z | NONE | Thank you to release this bravo project. When i use this project on multi table db, I want to implement convenient search on column name from different tables. I want to develop a meta table to save the meta data of different columns of different tables and search on this meta table to get rows from the data table (which the meta table describes) does this project provide some simple function on it ? You can think a have a knowledge graph about the table in the db, and i save this knowledge graph into the db with fts enabled. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/243/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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