spyql VS jc

I prefer a SQL-like format. It’s not as complete but it cover most of the day-to-day use cases. Take a look at https://github.com/dcmoura/spyql (I am the author). Congrats on fq!

SPyQL documentation: spyql.readthedocs.io

spyql – Query data on the command line with SQL-like SELECTs powered by Python expressions

This is great!

I am the author of SPyQL [1]. Combining JC with SPyQL you can easily query the json output and run python commands on top of it from the command-line :-) You can do aggregations and so forth in a much simpler and intuitive way than with jq.

I just wrote a blogpost [2] that illustrates it. It is more focused on CSV, but the commands would be the same if you were working with JSON.

[1] https://github.com/dcmoura/spyql

You can import the data into a PostgreSQL/MySQL/SQLite/... database and then query the database. However, even with the right choice of indexes, it might take a while to run queries on a table with hundreds of millions of records. You can easily import your data to these databases with SpyQL: $ spyql "SELECT * FROM csv TO sql(table=my_table_name) | sqlite3 my.db" (you would need to create the table my_table_name before running the command).

https://github.com/dcmoura/spyql/blob/master/notebooks/json_...

And ClickHouse looks like a normal relational database - there is no need for multiple components for different tiers (like in Druid), no need for manual partitioning into "daily", "hourly" tables (like you do in Spark and Bigquery), no need for lambda architecture... It's refreshing how something can be both simple and fast.

I thought this library was pretty nifty for json. It's also relatively fast compared to most json parsers: https://github.com/dcmoura/spyql

https://github.com/kellyjonbrazil/jc - "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts."

> I'd love to see programs communicate through a typed JSON/proto format that shed enough details to make this more independent, and get useful shell command structuring/completion or full blown GUIs from simply introspecting the expected input and output types.

You should try PowerShell. It's basically Microsoft's .NET ecosystem molded into an interactive command line. I'm not entirely sure if PoweShell can make full use of the static types that build up its core, but its ability to exchange objects in the command line is almost unmatched.

On Linux you can use `jc` (https://github.com/kellyjonbrazil/jc) combined with `jq` (https://jqlang.github.io/jq/) to glue together command lines.

In addition to my previous comment about jq-like tools, I want to share a couple other interesting tools, which I use alongside jq are jo [0] and jc [1].

[0]: https://github.com/jpmens/jo

[1]: https://github.com/kellyjonbrazil/jc

> I wanted to write some wrappers for the standard commands that automatically did all this via `jq`.

If you're not already aware of it, you may wish to check out `jc`[0] which describes itself as a "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq..."

The `jc` documentation[1] & parser[2] for `ls` also demonstrates that reliable & cross-platform parsing of even "basic" commands can be non-trivial.

[0] https://github.com/kellyjonbrazil/jc

[1] https://kellyjonbrazil.github.io/jc/docs/parsers/ls

[2] https://github.com/kellyjonbrazil/jc/blob/4cd721be8595db52b6...