Take a CSV file, query it with SQL. Magic!
$ cargo run file.csv
Loaded 3162 rows into t(domain, base_domain, agency, sslv2)
> SELECT COUNT(*) FROM t
+----------+
| 3162 |
+----------+
All your rows go into a table named t
. It's great!
You can also specify multiple files:
$ cargo run file1.csv file2.csv
Loaded 12 rows into t1(some, schema)
Loaded 74 rows into t2(some, other, schema)
>
If you'd like to export the results of a query to a CSV file:
$ cargo run file.csv
Loaded 3162 rows into t(domain, base_domain, agency, sslv2)
> .export(results.csv) SELECT COUNT(*) from t;
If you have tab-, pipe-, or semicolon-delimited files you can specify --tab, --pipe, or --semicolon respectively).
csv-sql
contains additional UDFs (User Defined Functions) to enable easier
data analysis. They are:
Example: regexp_extract("abc-(\d+)", "abc-12345", "lol $1")
returns "lol 12345"
Binaries for macOS and Windows are automatically built in CI and can be downloaded from Github Actions.