html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app https://github.com/simonw/sqlite-utils/issues/131#issuecomment-862495803,https://api.github.com/repos/simonw/sqlite-utils/issues/131,862495803,MDEyOklzc3VlQ29tbWVudDg2MjQ5NTgwMw==,9599,simonw,2021-06-16T15:52:33Z,2021-06-16T15:52:33Z,OWNER,I like `-t` or `--type` for this.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",675753042,sqlite-utils insert: options for column types, https://github.com/simonw/sqlite-utils/issues/267#issuecomment-862493179,https://api.github.com/repos/simonw/sqlite-utils/issues/267,862493179,MDEyOklzc3VlQ29tbWVudDg2MjQ5MzE3OQ==,9599,simonw,2021-06-16T15:49:13Z,2021-06-16T15:49:13Z,OWNER,"The big challenge here is that the rows returned by this library aren't objects, they are Python dictionaries - so adding methods to them isn't possible without changing the type that is returned by these methods. Part of the philosophy of the library is that it should make it as easy as possible to round-trip between Python dictionaries and SQLite table data, so I don't think adding methods like this is going to fit.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",915421499,row.update() or row.pk, https://github.com/simonw/sqlite-utils/issues/267#issuecomment-862494864,https://api.github.com/repos/simonw/sqlite-utils/issues/267,862494864,MDEyOklzc3VlQ29tbWVudDg2MjQ5NDg2NA==,9599,simonw,2021-06-16T15:51:28Z,2021-06-16T16:26:15Z,OWNER,"I did add a slightly clumsy mechanism recently to help a bit here though: the `pks_and_rows_where()` method: https://sqlite-utils.datasette.io/en/stable/python-api.html#listing-rows-with-their-primary-keys More details in the issue for that feature: #240 The idea here is that if you want to call update you need the primary key for the row - so you can do this: ```python for pk, row in db[""sometable""].pks_and_rows_where(): db[""sometable""].update(pk, {""modified"": 1}"") ``` The `pk` may end up as a single value or a tuple depending on if the table has a compound primary key - but you don't need to worry about that if you use this method as it will return the correct primary key value for you.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",915421499,row.update() or row.pk, https://github.com/simonw/sqlite-utils/issues/270#issuecomment-862491721,https://api.github.com/repos/simonw/sqlite-utils/issues/270,862491721,MDEyOklzc3VlQ29tbWVudDg2MjQ5MTcyMQ==,9599,simonw,2021-06-16T15:47:06Z,2021-06-16T15:47:06Z,OWNER,"SQLite doesn't have a JSON column type - it has JSON processing functions, but they operate against TEXT columns - so there's nothing I can do here unfortunately.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",919314806,Cannot set type JSON, https://github.com/simonw/sqlite-utils/issues/270#issuecomment-862574390,https://api.github.com/repos/simonw/sqlite-utils/issues/270,862574390,MDEyOklzc3VlQ29tbWVudDg2MjU3NDM5MA==,4068,frafra,2021-06-16T17:34:49Z,2021-06-16T17:34:49Z,NONE,"Sorry, I got confused because SQLite has a JSON column type, even if it is treated as TEXT, and I though automatic facets were available for JSON arrays stored as JSON only :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",919314806,Cannot set type JSON, https://github.com/simonw/sqlite-utils/issues/272#issuecomment-861944202,https://api.github.com/repos/simonw/sqlite-utils/issues/272,861944202,MDEyOklzc3VlQ29tbWVudDg2MTk0NDIwMg==,25778,eyeseast,2021-06-16T01:41:03Z,2021-06-16T01:41:03Z,CONTRIBUTOR,"So, I do things like this a lot, too. I like the idea of piping in from stdin. Something like this would be nice to do in a makefile: ```sh cat file.csv | sqlite-utils --csv --table data - 'SELECT * FROM data WHERE col=""whatever""' > filtered.csv ``` If you assumed that you're always piping out the same format you're piping in, the option names don't have to change. Depends how much you want to change formats.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-861984707,https://api.github.com/repos/simonw/sqlite-utils/issues/272,861984707,MDEyOklzc3VlQ29tbWVudDg2MTk4NDcwNw==,9599,simonw,2021-06-16T02:19:48Z,2021-06-16T02:19:48Z,OWNER,"This is going to need to be a separate command, for relatively non-obvious reasons. sqlite-utils blah.db ""select * from x"" Is equivalent to this, because `query` is the default sub-command: sqlite-utils query blah.db ""select * from x"" But... this means that making the filename optional doesn't actually work - because then this is ambiguous: sqlite-utils --load-csv blah.csv ""select * from blah"" So instead, I'm going to add a new sub-command. I'm currently thinking `memory` to reflect that this command operates on an in-memory database: sqlite-utils memory --load-csv blah.csv ""select * from blah"" I still think I need to use `--load-csv` rather than `--csv` because one interesting use-case for this is loading in CSV and converting it to JSON, or vice-versa. Another option: allow multiple arguments which are filenames, and use the extension (or sniff the content) to decide what to do with them: sqlite-utils memory blah.csv foo.csv ""select * from foo join blah on ..."" This would require the last positional argument to always be a SQL query, and would treat all other positional arguments as files that should be imported into memory.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-861985944,https://api.github.com/repos/simonw/sqlite-utils/issues/272,861985944,MDEyOklzc3VlQ29tbWVudDg2MTk4NTk0NA==,9599,simonw,2021-06-16T02:22:52Z,2021-06-16T02:22:52Z,OWNER,"Another option: allow an optional `:suffix` specifying the type of the file. If this is missing we detect based on the filename. sqlite-utils memory somefile:csv ""select * from somefile"" One catch: how to treat `-` for standard input? cat blah.csv | sqlite-utils memory - ""select * from stdin"" That's fine for CSV, but what about TSV or JSON or nl-JSON? Maybe this: cat blah.csv | sqlite-utils memory -:json ""select * from stdin"" Bit weird though. The alternative would be to support this: cat blah.csv | sqlite-utils memory --load-csv - But that's verbose compared to the version without the long `--load-x` option.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-861987651,https://api.github.com/repos/simonw/sqlite-utils/issues/272,861987651,MDEyOklzc3VlQ29tbWVudDg2MTk4NzY1MQ==,9599,simonw,2021-06-16T02:27:20Z,2021-06-16T02:27:20Z,OWNER,Solution: `sqlite-utils memory -` attempts to detect the input based on if it starts with a `{` or `[` (likely JSON) or if it doesn't use the `csv.Sniffer()` mechanism. Or you can use `sqlite-utils memory -:csv` to specifically indicate the type of input.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-861989987,https://api.github.com/repos/simonw/sqlite-utils/issues/272,861989987,MDEyOklzc3VlQ29tbWVudDg2MTk4OTk4Nw==,9599,simonw,2021-06-16T02:34:21Z,2021-06-16T02:34:21Z,OWNER,"The documentation already covers this ``` $ sqlite-utils :memory: ""select sqlite_version()"" [{""sqlite_version()"": ""3.29.0""}] ``` https://sqlite-utils.datasette.io/en/latest/cli.html#running-queries-and-returning-json `sqlite-utils memory ""select sqlite_version()""` is a little bit more intuitive than that.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862018937,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862018937,MDEyOklzc3VlQ29tbWVudDg2MjAxODkzNw==,9599,simonw,2021-06-16T03:59:28Z,2021-06-16T04:00:05Z,OWNER,"Mainly for debugging purposes it would be useful to be able to save the created in-memory database back to a file again later. This could be done with: sqlite-utils memory blah.csv --save saved.db Can use `.iterdump()` to implement this: https://docs.python.org/3/library/sqlite3.html#sqlite3.Connection.iterdump Maybe instead (or as-well-as) offer `--dump` which dumps out the SQL from that.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862040906,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862040906,MDEyOklzc3VlQ29tbWVudDg2MjA0MDkwNg==,9599,simonw,2021-06-16T05:02:47Z,2021-06-16T05:02:47Z,OWNER,"Got a prototype working! ``` % curl -s 'https://fivethirtyeight.datasettes.com/polls/president_approval_polls.csv?_size=max&_stream=1' | sqlite-utils memory - 'select * from t limit 5' --nl {""rowid"": ""1"", ""question_id"": ""139304"", ""poll_id"": ""74225"", ""state"": """", ""politician_id"": ""11"", ""politician"": ""Donald Trump"", ""pollster_id"": ""568"", ""pollster"": ""YouGov"", ""sponsor_ids"": ""352"", ""sponsors"": ""Economist"", ""display_name"": ""YouGov"", ""pollster_rating_id"": ""391"", ""pollster_rating_name"": ""YouGov"", ""fte_grade"": ""B"", ""sample_size"": ""1500"", ""population"": ""a"", ""population_full"": ""a"", ""methodology"": ""Online"", ""start_date"": ""1/16/21"", ""end_date"": ""1/19/21"", ""sponsor_candidate"": """", ""tracking"": """", ""created_at"": ""1/20/21 10:18"", ""notes"": """", ""url"": ""https://docs.cdn.yougov.com/y9zsit5bzd/weeklytrackingreport.pdf"", ""source"": ""538"", ""yes"": ""42.0"", ""no"": ""53.0""} {""rowid"": ""2"", ""question_id"": ""139305"", ""poll_id"": ""74225"", ""state"": """", ""politician_id"": ""11"", ""politician"": ""Donald Trump"", ""pollster_id"": ""568"", ""pollster"": ""YouGov"", ""sponsor_ids"": ""352"", ""sponsors"": ""Economist"", ""display_name"": ""YouGov"", ""pollster_rating_id"": ""391"", ""pollster_rating_name"": ""YouGov"", ""fte_grade"": ""B"", ""sample_size"": ""1155"", ""population"": ""rv"", ""population_full"": ""rv"", ""methodology"": ""Online"", ""start_date"": ""1/16/21"", ""end_date"": ""1/19/21"", ""sponsor_candidate"": """", ""tracking"": """", ""created_at"": ""1/20/21 10:18"", ""notes"": """", ""url"": ""https://docs.cdn.yougov.com/y9zsit5bzd/weeklytrackingreport.pdf"", ""source"": ""538"", ""yes"": ""44.0"", ""no"": ""55.0""} {""rowid"": ""3"", ""question_id"": ""139306"", ""poll_id"": ""74226"", ""state"": """", ""politician_id"": ""11"", ""politician"": ""Donald Trump"", ""pollster_id"": ""23"", ""pollster"": ""American Research Group"", ""sponsor_ids"": """", ""sponsors"": """", ""display_name"": ""American Research Group"", ""pollster_rating_id"": ""9"", ""pollster_rating_name"": ""American Research Group"", ""fte_grade"": ""B"", ""sample_size"": ""1100"", ""population"": ""a"", ""population_full"": ""a"", ""methodology"": ""Live Phone"", ""start_date"": ""1/16/21"", ""end_date"": ""1/19/21"", ""sponsor_candidate"": """", ""tracking"": """", ""created_at"": ""1/20/21 10:18"", ""notes"": """", ""url"": ""https://americanresearchgroup.com/economy/"", ""source"": ""538"", ""yes"": ""30.0"", ""no"": ""66.0""} {""rowid"": ""4"", ""question_id"": ""139307"", ""poll_id"": ""74226"", ""state"": """", ""politician_id"": ""11"", ""politician"": ""Donald Trump"", ""pollster_id"": ""23"", ""pollster"": ""American Research Group"", ""sponsor_ids"": """", ""sponsors"": """", ""display_name"": ""American Research Group"", ""pollster_rating_id"": ""9"", ""pollster_rating_name"": ""American Research Group"", ""fte_grade"": ""B"", ""sample_size"": ""990"", ""population"": ""rv"", ""population_full"": ""rv"", ""methodology"": ""Live Phone"", ""start_date"": ""1/16/21"", ""end_date"": ""1/19/21"", ""sponsor_candidate"": """", ""tracking"": """", ""created_at"": ""1/20/21 10:18"", ""notes"": """", ""url"": ""https://americanresearchgroup.com/economy/"", ""source"": ""538"", ""yes"": ""29.0"", ""no"": ""67.0""} {""rowid"": ""5"", ""question_id"": ""139298"", ""poll_id"": ""74224"", ""state"": """", ""politician_id"": ""11"", ""politician"": ""Donald Trump"", ""pollster_id"": ""1528"", ""pollster"": ""AtlasIntel"", ""sponsor_ids"": """", ""sponsors"": """", ""display_name"": ""AtlasIntel"", ""pollster_rating_id"": ""546"", ""pollster_rating_name"": ""AtlasIntel"", ""fte_grade"": ""B/C"", ""sample_size"": ""5188"", ""population"": ""a"", ""population_full"": ""a"", ""methodology"": ""Online"", ""start_date"": ""1/15/21"", ""end_date"": ""1/19/21"", ""sponsor_candidate"": """", ""tracking"": """", ""created_at"": ""1/19/21 21:52"", ""notes"": """", ""url"": ""https://projects.fivethirtyeight.com/polls/20210119_US_Atlas2.pdf"", ""source"": ""538"", ""yes"": ""44.6"", ""no"": ""53.9""} ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862040971,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862040971,MDEyOklzc3VlQ29tbWVudDg2MjA0MDk3MQ==,9599,simonw,2021-06-16T05:02:56Z,2021-06-16T05:02:56Z,OWNER,Moving this to a PR.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862475685,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862475685,MDEyOklzc3VlQ29tbWVudDg2MjQ3NTY4NQ==,9599,simonw,2021-06-16T15:26:19Z,2021-06-16T15:29:38Z,OWNER,"Here's a radical idea: what if I combined `sqlite-utils memory` into `sqlite-utils query`? The trick here would be to detect if the arguments passed on the command-line refer to SQLite databases or if they refer to CSV/JSON data that should be imported into temporary tables. Detecting a SQLite database file is actually really easy - they all start with the same binary string: ```pycon >>> open(""my.db"", ""rb"").read(100) b'SQLite format 3\x00... ``` (Need to carefully check that a CSV file with`SQLite format 3` as the first column name doesn't accidentally get interpreted as a SQLite DB though). So then what would the semantics of `sqlite-utils query` (which is also the default command) be? - `sqlite-utils mydb.db ""select * from x""` - `sqlite-utils my.csv ""select * from my""` - `sqlite-utils mydb.db my.csv ""select * from mydb.x join my on ...""` - this is where it gets weird. We can't import the CSV data directly into `mpdb.db` - it's suppose to go into the in-memory database - so now we need to start using database aliases like `mydb.x` because we passed at least one other file? The complexity here is definitely in the handling of a combination of SQLite database files and CSV filenames. Also, `sqlite-utils query` doesn't accept multiple filenames at the moment, so that will change. I'm not 100% sold on this as being better than having a separate `sqlite-utils memory` command, as seen in #273.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862478881,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862478881,MDEyOklzc3VlQ29tbWVudDg2MjQ3ODg4MQ==,9599,simonw,2021-06-16T15:30:24Z,2021-06-16T15:30:24Z,OWNER,"But... `sqlite-utils my.csv ""select * from my""` is a much more compelling initial experience than `sqlite-utils memory my.csv ""select * from my""`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862479704,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862479704,MDEyOklzc3VlQ29tbWVudDg2MjQ3OTcwNA==,9599,simonw,2021-06-16T15:31:31Z,2021-06-16T15:31:31Z,OWNER,"Plus, could I make this change to `sqlite-utils query` without breaking backwards compatibility? Adding a new `sqlite-utils memory` command is completely safe from that perspective.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862484557,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862484557,MDEyOklzc3VlQ29tbWVudDg2MjQ4NDU1Nw==,9599,simonw,2021-06-16T15:37:51Z,2021-06-16T15:38:34Z,OWNER,"I wonder if there's a better name for this than `sqlite-utils memory`? - `sqlite-utils memory hello.csv ""select * from hello""` - `sqlite-utils mem hello.csv ""select * from hello""` - `sqlite-utils temp hello.csv ""select * from hello""` - `sqlite-utils adhoc hello.csv ""select * from hello""` - `sqlite-utils scratch hello.csv ""select * from hello""` I think `memory` is best. I don't like the others, except for `scratch` which is OK.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862485408,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862485408,MDEyOklzc3VlQ29tbWVudDg2MjQ4NTQwOA==,9599,simonw,2021-06-16T15:38:58Z,2021-06-16T15:39:28Z,OWNER,"Also `sqlite-utils memory` reflects the existing `sqlite-utils :memory:` mechanism, which is a point in its favour. And it helps emphasize that the file you are querying will be loaded into memory, so probably don't try this against a 1GB CSV file.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/272#issuecomment-862491016,https://api.github.com/repos/simonw/sqlite-utils/issues/272,862491016,MDEyOklzc3VlQ29tbWVudDg2MjQ5MTAxNg==,9599,simonw,2021-06-16T15:46:13Z,2021-06-16T15:46:13Z,OWNER,"Columns from data imported from CSV in this way is currently treated as `TEXT`, which means numeric sorts and suchlike won't work as people might expect. It would be good to do automatic type detection here, see #179.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",921878733,"Idea: import CSV to memory, run SQL, export in a single command", https://github.com/simonw/sqlite-utils/issues/275#issuecomment-862617165,https://api.github.com/repos/simonw/sqlite-utils/issues/275,862617165,MDEyOklzc3VlQ29tbWVudDg2MjYxNzE2NQ==,9599,simonw,2021-06-16T18:34:51Z,2021-06-16T18:34:51Z,OWNER,"Also use this: https://github.com/simonw/datasette/blob/83e9c8bc7585dcc62f200e37c2daefcd669ee05e/codecov.yml And add a badge, as seen on https://github.com/simonw/asgi-csrf","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922955697,Enable code coverage, https://github.com/simonw/sqlite-utils/pull/273#issuecomment-862042110,https://api.github.com/repos/simonw/sqlite-utils/issues/273,862042110,MDEyOklzc3VlQ29tbWVudDg2MjA0MjExMA==,9599,simonw,2021-06-16T05:05:51Z,2021-06-16T05:06:11Z,OWNER,"Initial documentation is here: https://github.com/simonw/sqlite-utils/blob/c7234cae8336b8525034e8f917d82dd0699abd42/docs/cli.rst#running-queries-directly-against-csv-data It only talks about CSV at the moment - needs to be updated to mention JSON too once that is implemented.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922099793,sqlite-utils memory command for directly querying CSV/JSON data, https://github.com/simonw/sqlite-utils/pull/273#issuecomment-862043974,https://api.github.com/repos/simonw/sqlite-utils/issues/273,862043974,MDEyOklzc3VlQ29tbWVudDg2MjA0Mzk3NA==,9599,simonw,2021-06-16T05:10:12Z,2021-06-16T05:10:12Z,OWNER,"I can stop promoting `:memory:` here and promote `memory` instead: https://github.com/simonw/sqlite-utils/blob/c7234cae8336b8525034e8f917d82dd0699abd42/docs/cli.rst#L83-L86","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922099793,sqlite-utils memory command for directly querying CSV/JSON data, https://github.com/simonw/sqlite-utils/pull/273#issuecomment-862045438,https://api.github.com/repos/simonw/sqlite-utils/issues/273,862045438,MDEyOklzc3VlQ29tbWVudDg2MjA0NTQzOA==,9599,simonw,2021-06-16T05:14:00Z,2021-06-16T05:14:00Z,OWNER,I should probably refactor the CSV/JSON/loading stuff into a function in `utils.py` in order to share some of the implementation with the existing `sqlite-utils insert` code: https://github.com/simonw/sqlite-utils/blob/287cdcae8908916687f2ecccc87c38549d004ac6/sqlite_utils/cli.py#L691-L734,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922099793,sqlite-utils memory command for directly querying CSV/JSON data, https://github.com/simonw/sqlite-utils/pull/273#issuecomment-862045639,https://api.github.com/repos/simonw/sqlite-utils/issues/273,862045639,MDEyOklzc3VlQ29tbWVudDg2MjA0NTYzOQ==,9599,simonw,2021-06-16T05:14:38Z,2021-06-16T05:14:38Z,OWNER,"Can't share much code though since a bunch of that `insert` stuff is specific to that command - showing progress bars, returning errors on illegal option combinations etc.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922099793,sqlite-utils memory command for directly querying CSV/JSON data, https://github.com/simonw/sqlite-utils/pull/273#issuecomment-862046009,https://api.github.com/repos/simonw/sqlite-utils/issues/273,862046009,MDEyOklzc3VlQ29tbWVudDg2MjA0NjAwOQ==,9599,simonw,2021-06-16T05:15:38Z,2021-06-16T05:15:38Z,OWNER,"I'm going to add a `--encoding` option - it will affect ALL CSV input files, so if you have CSV files with different encodings you'll need to sort that mess out yourself (likely by importing each CSV file separately into a database using `sqlite-utils insert` with different `--encoding` values).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922099793,sqlite-utils memory command for directly querying CSV/JSON data, https://github.com/simonw/sqlite-utils/pull/273#issuecomment-862605436,https://api.github.com/repos/simonw/sqlite-utils/issues/273,862605436,MDEyOklzc3VlQ29tbWVudDg2MjYwNTQzNg==,9599,simonw,2021-06-16T18:19:05Z,2021-06-16T18:19:05Z,OWNER,`--attach` documentation: https://github.com/simonw/sqlite-utils/blob/192dc2c5b73bd836ab8e2e5fed4b36c6ea02f250/docs/cli.rst#joining-in-memory-data-against-existing-databases-using-attach,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",922099793,sqlite-utils memory command for directly querying CSV/JSON data,