Parsing SQL Dumps to JSON Objects
Project description
sqldump2json
Parse SQL dumps into JSON objects.
A tool for administrators, data scientists and hackers. With this tool you no longer need to import dumps into Databases. You can extract INSERT data as JSON and analyze them with jq or insert into Mongo/Elastic/etc. The dump is not read entirely into RAM, so this utility can be used to process files of any size. And it can even parse corrupted dumps.
Supported DBMS: MySQL, SQL Server, PotsgreSQL and some other (not all formats).
Installation for normal Arch-based Linux ditros:
# install pipx
yay -S python-pipx
# install package from pypi
pipx install sqldump2json
# install lastet version from github
pipx install git+https://github.com/s3rgeym/sqldump2json.git
For other shit like Ubuntu you need to do more steps:
- Install pyenv or asdf-vm.
- Install latest python version and make it global via pyenv or asdf-vm.
- Install sqldump2json.
- Or use Docker.
CLI
Usage:
sqldump2json -i /path/to/dump.sql
Values are converted to dict only if the INSERT
contains a list of fields or the fields are declared in CREATE TABLE
:
INSERT INTO users (id, name) VALUES (42, 'Vasyan');
Output:
{"table_name": "users", "values": {"id": 42, "name": "Vasyan"}}
Convert tble to TSV:
$ sqldump2json -i tests/dump.sql | jq -r 'select(.table_name == "actor").values | @tsv'
1 PENELOPE GUINESS 2006-02-15 04:34:33
2 NICK WAHLBERG 2006-02-15 04:34:33
3 ED CHASE 2006-02-15 04:34:33
...
Hex strings are converted to base64:
sqldump2json -i tests/dump.sql | tail -4 | head -1 | jq -r '.values[4]' | base64 -d > image.png
Supports basic arifmetic and boolean operations:
$ echo 'insert into test (result) values (-2 + 2 * 2);' | sqldump2json
{"table_name": "test", "values": {"result": 2}}
Sripting
#!/usr/bin/env python
from sqldump2json import DumpParser
...
if __name__ == '__main__':
parser = DumpParser()
for item in parser.parse("/path/to/dump.sql"):
do_something(item)
Development
Run tests:
poetry run python -m unittest
TODO LIST
- Add support mysql strings with charset (eg,
_binary '\x00...'
).
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