Get Go 1.17+ and then run:
$ go install github.com/multiprocessio/datastation/dsq@latestYou can either pipe data to dsq or you can pass a file name to it.
When piping data to dsq you need to specify the file extension or MIME type.
For example:
$ cat testdata.csv | dsq csv "SELECT * FROM {} LIMIT 1"Or:
$ cat testdata.parquet | dsq parquet "SELECT COUNT(1) FROM {}"If you are passing a file, it must have the usual extension for its content type.
For example:
$ dsq testdata.json "SELECT * FROM {} WHERE x > 10"Or:
$ dsq testdata.ndjson "SELECT name, AVG(time) FROM {} GROUP BY name ORDER BY AVG(time) DESC"As a shorthand for dsq testdata.csv "SELECT * FROM {}" to convert
supported file types to JSON you can skip the query and the converted
JSON will be dumped to stdout.
For example:
$ dsq testdata.csv
[{...some csv data...},{...some csv data...},...]| Name | File Extension(s) | Notes |
|---|---|---|
| CSV | csv |
|
| TSV | tsv, tab |
|
| JSON | json |
Must be an array of objects. Nested object fields are ignored. |
| Newline-delimited JSON | ndjson, jsonl |
|
| Parquet | parquet |
|
| Excel | xlsx, xls |
Currently only works if there is only one sheet. |
| ODS | ods |
Currently only works if there is only one sheet. |
| Apache Error Logs | text/apache2error |
Currently only works if being piped in. |
| Apache Access Logs | text/apache2access |
Currently only works if being piped in. |
| Nginx Access Logs | text/nginxaccess |
Currently only works if being piped in. |
Under the hood dsq uses DataStation as a library and under that hood DataStation uses SQLite to power these kinds of SQL queries on arbitrary (structured) data.
The speed column is based on rough benchmarks based on q's benchmarks. Eventually I'll do a more thorough and public benchmark.
| Name | Link | Speed | Supported File Types | Engine | Maturity |
|---|---|---|---|---|---|
| q | https://harelba.github.io/q/ | Fast | CSV, TSV | Uses SQLite | Mature |
| textql | https://github.com/dinedal/textql | Ok | CSV, TSV | Uses SQLite | Mature |
| octoql | https://github.com/cube2222/octosql | Slow | JSON, CSV, Excel, Parquet | Custom engine missing many features from SQLite | Mature |
| dsq | Here | Ok | CSV, TSV, JSON, Newline-delimited JSON, Parquet, Excel, ODS (OpenOffice Calc), Logs | Uses SQLite | Not mature |
See the repo's main README.md for the details.