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2 rows where state = "open" and "updated_at" is on date 2021-10-28 sorted by updated_at descending
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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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836829560 | MDU6SXNzdWU4MzY4Mjk1NjA= | 248 | support for Apache Arrow / parquet files I/O | mhalle 649467 | open | 0 | 1 | 2021-03-20T14:59:30Z | 2021-10-28T23:46:48Z | NONE | I just started looking at Apache Arrow using pyarrow for import and export of tabular datasets, and it looks quite compelling. It might be worth looking at for sqlite-utils and/or datasette. As a test, I took a random jsonl data dump of a dataset I have with floats, strings, and ints and converted it to arrow's parquet format using the naive The only hangup is the automatic type inference of the naive reader. It's great for general laziness and for parsing JSON columns (it correctly interpreted a table of mine with a JSON array). However, I did get an exception for a string column where most entries looked integer-like but had a couple values that weren't -- the reader tried to coerce all of them for some reason, even though the JSON type is string. Since the writer optionally takes a schema, it shouldn't be too hard to grab the sqlite header types. With some additional hinting, you might get datetime columns and JSON, which are native Arrow types. Somewhat tangentially, someone even wrote an sqlite vfs extension for Parquet: https://cldellow.com/2018/06/22/sqlite-parquet-vtable.html |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/248/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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817989436 | MDU6SXNzdWU4MTc5ODk0MzY= | 242 | Async support | eyeseast 25778 | open | 0 | 13 | 2021-02-27T18:29:38Z | 2021-10-28T14:37:56Z | CONTRIBUTOR | Following our conversation last week, want to note this here before I forget. I've had a couple situations where I'd like to do a bunch of updates in an async event loop, but I run into SQLite's issues with concurrent writes. This feels like something sqlite-utils could help with. PeeWee ORM has a SQLite write queue that might be a good model. It's using threads or gevent, but I think that approach would translate well enough to asyncio. Happy to help with this, too. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/242/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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