From a719360c7fc02f1e769536618c1259de096fa5b9 Mon Sep 17 00:00:00 2001 From: Joel Natividad <1980690+jqnatividad@users.noreply.github.com> Date: Tue, 12 Nov 2024 21:12:43 -0500 Subject: [PATCH] `docs`: `joinp` now has an `--ignore-case` option --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 12c796c7d..31081d5f2 100644 --- a/README.md +++ b/README.md @@ -56,7 +56,7 @@ | [index](/src/cmd/index.rs#L2) | Create an index (📇) for a CSV. This is very quick (even the 15gb, 28m row NYC 311 dataset takes all of 14 seconds to index) & provides constant time indexing/random access into the CSV. With an index, `count`, `sample` & `slice` work instantaneously; random access mode is enabled in `luau`; and multithreading (🏎️) is enabled for the `frequency`, `split`, `stats`, `schema` & `tojsonl` commands. | | [input](/src/cmd/input.rs#L2) | Read CSV data with special commenting, quoting, trimming, line-skipping & non-UTF8 encoding handling rules. Typically used to "normalize" a CSV for further processing with other qsv commands. | | [join](/src/cmd/join.rs#L2)
👆 | Inner, outer, right, cross, anti & semi joins. Automatically creates a simple, in-memory hash index to make it fast. | -| [joinp](/src/cmd/joinp.rs#L2)
✨🚀🐻‍❄️🪄 | Inner, outer, right, cross, anti, semi & asof joins using the [Pola.rs](https://www.pola.rs) engine. Unlike the `join` command, `joinp` can process files larger than RAM, is multithreaded, has join key validation, pre-join filtering, supports [asof joins](https://pola-rs.github.io/polars/py-polars/html/reference/dataframe/api/polars.DataFrame.join_asof.html) (which is [particularly useful for time series data](https://github.com/jqnatividad/qsv/blob/30cc920d0812a854fcbfedc5db81788a0600c92b/tests/test_joinp.rs#L509-L983)) & its output columns can be coalesced. However, `joinp` doesn't have an --ignore-case option. | +| [joinp](/src/cmd/joinp.rs#L2)
✨🚀🐻‍❄️🪄 | Inner, outer, right, cross, anti, semi & asof joins using the [Pola.rs](https://www.pola.rs) engine. Unlike the `join` command, `joinp` can process files larger than RAM, is multithreaded, has join key validation, pre-join filtering, supports [asof joins](https://pola-rs.github.io/polars/py-polars/html/reference/dataframe/api/polars.DataFrame.join_asof.html) (which is [particularly useful for time series data](https://github.com/jqnatividad/qsv/blob/30cc920d0812a854fcbfedc5db81788a0600c92b/tests/test_joinp.rs#L509-L983)) & its output columns can be coalesced. | | [json](/src/cmd/json.rs#L2)
👆 | Convert JSON to CSV. | [jsonl](/src/cmd/jsonl.rs#L2)
🚀🔣 | Convert newline-delimited JSON ([JSONL](https://jsonlines.org/)/[NDJSON](http://ndjson.org/)) to CSV. See `tojsonl` command to convert CSV to JSONL. | [lens](/src/cmd/lens.rs#L2) | Interactively view, search & filter a CSV using the [csvlens](https://github.com/YS-L/csvlens#csvlens) engine.