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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1128466114 | I_kwDOCGYnMM5DQwbC | 406 | Creating tables with custom datatypes | 82988 | open | 0 | 5 | 2022-02-09T12:16:31Z | 2022-09-15T18:13:50Z | NONE | Via https://stackoverflow.com/a/18622264/454773 I note the ability to register custom handlers for novel datatypes that can map into and out of things like sqlite `BLOB`s. From a quick look and a quick play, I didn't spot a way to do this in `sqlite_utils`? For example: ```python # Via https://stackoverflow.com/a/18622264/454773 import sqlite3 import numpy as np import io def adapt_array(arr): """ http://stackoverflow.com/a/31312102/190597 (SoulNibbler) """ out = io.BytesIO() np.save(out, arr) out.seek(0) return sqlite3.Binary(out.read()) def convert_array(text): out = io.BytesIO(text) out.seek(0) return np.load(out) # Converts np.array to TEXT when inserting sqlite3.register_adapter(np.ndarray, adapt_array) # Converts TEXT to np.array when selecting sqlite3.register_converter("array", convert_array) ``` ```python from sqlite_utils import Database db = Database('test.db') # Reset the database connection to used the parsed datatype # sqlite_utils doesn't seem to support eg: # Database('test.db', detect_types=sqlite3.PARSE_DECLTYPES) db.conn = sqlite3.connect(db_name, detect_types=sqlite3.PARSE_DECLTYPES) # Create a table the old fashioned way # but using the new custom data type vector_table_create = """ CREATE TABLE dummy (title TEXT, vector array ); """ cur = db.conn.cursor() cur.execute(vector_table_create) # sqlite_utils doesn't appear to support custom types (yet?!) # The following errors on the "array" datatype """ db["dummy"].create({ "title": str, "vector": "array", }) """ ``` We can then add / retrieve records from the database where the datatype of the `vector` field is a custom registered `array` type (which is to say, a `numpy` array): ```python import numpy as np db["dummy"].insert({'title':"test1", 'vector':np.array([1,2,3])}) for row in db.query("SELECT * FROM dummy"): print(row['title'], row['vector'], type(row['vector'])) """ test1 [1 2 3] <class '… | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/406/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
||||||||
1128139375 | I_kwDOCGYnMM5DPgpv | 405 | `Database(memory_name="name")` constructor argument | 9599 | closed | 0 | 2 | 2022-02-09T07:15:03Z | 2022-02-16T01:23:16Z | 2022-02-16T01:23:16Z | OWNER | SQLite in-memory databases can be named, in which case multiple connections can be opened to a shared in-memory database running within the same process. Datasette supports this - SQLite could support it too. https://docs.datasette.io/en/0.60.2/internals.html#database-ds-path-none-is-mutable-false-is-memory-false-memory-name-none | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/405/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | ||||||
1128120451 | I_kwDOCGYnMM5DPcCD | 404 | Add example of `--convert` to the help for `sqlite-utils insert` | 9599 | closed | 0 | 2 | 2022-02-09T06:49:09Z | 2022-02-09T06:56:35Z | 2022-02-09T06:55:16Z | OWNER | https://sqlite-utils.datasette.io/en/3.23/cli-reference.html#insert would be more useful if it included an example of `--convert` in action. I can maybe use an example from https://simonwillison.net/2022/Jan/11/sqlite-utils/ | 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/404/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed |