abstra-json-sql 0.0.8

run SQL queries on JSON data

abstra-json-sql

abstra-json-sql is a Python library that allows you to run SQL queries on JSON data. It is designed to be simple and easy to use, while providing powerful features for querying and manipulating JSON data.

[!WARNING]
This project is in its early stages and is not yet ready for production use. The API may change, and there may be bugs. Use at your own risk.

Installation

You can install abstra-json-sql using pip:

pip install abstra-json-sql

Usage

Command Line Interface

Assuming you have a directory structure like this:

.
├── organizations.json
├── projects.json
└── users.json

You can query the JSON files using SQL syntax. For example, to get all users from the users file, you can run:

abstra-json-sql "select * from users"

This will return all the users in the users.json file.

Python API

You can also use abstra-json-sql in your Python code. Here's an example:

from abstra_json_sql.eval import eval_sql
from abstra_json_sql.tables import InMemoryTables, Table, Column

code = "\n".join(
    [
        "select foo, count(*)",
        "from bar as baz",
        "where foo is not null",
        "group by foo",
        "having foo <> 2",
        "order by foo",
        "limit 1 offset 1",
    ]
)
tables = InMemoryTables(
    tables=[
        Table(
            name="bar",
            columns=[Column(name="foo", type="text")],
            data=[
                {"foo": 1},
                {"foo": 2},
                {"foo": 3},
                {"foo": 2},
                {"foo": None},
                {"foo": 3},
                {"foo": 1},
            ],
        )
    ],
)
ctx = {}
result = eval_sql(code=code, tables=tables, ctx=ctx)

print(result) # [{"foo": 3, "count": 2}]

Supported SQL Syntax

• WITH

  • RECURSIVE

• SELECT

  • ALL
  • DISTINCT
  • *
  • FROM
    • JOIN
      • INNER JOIN
      • LEFT JOIN
      • RIGHT JOIN
      • FULL JOIN
      • CROSS JOIN
  • WHERE
  • GROUP BY
  • HAVING
  • WINDOW
  • ORDER BY
  • LIMIT
  • OFFSET
  • FETCH
  • FOR

• INSERT

• UPDATE

• DELETE

• CREATE

• DROP

• ALTER