pgreaper
PGReaper is the easy Pythonic way to upload data from CSV, JSON, HTML, and
SQLite sources to PostgreSQL databases. Interally, it uses the fast COPY
streaming protocol, but wraps it in a way that makes it more flexible, robust and
easier to use. Features include:
- Automatic schema inference
- Ability to parse and normalize
<table>s in HTML - Ability to flatten and/or extract nested keys from JSON before copying
- Ability to copy files in
.ziparchives without decompressing them - Ability to copy over networks
Lastly, but certainly not least, PGReaper ships with its own Table data structure
while also being able to copy pandas DataFrames. These allows programmatic creation
or updating of SQL tables without the verbosity associated with traditional ORMs.
Furthermore, when uploading Python data structures, PGReaper automatically infers the schema,
including for JSONB (from dict or list) and timestamp (from datetime) objects.
Benchmarks
Speed is one of pgreaper's main design goals. A list of benchmarks may be found under the benchmarks subdirectory.
Installation
I've been using PGReaper heavily for my own projects, such as Twitter and web scraping, but I have only recently started polishing up the documentation and API for public consumption. PGReaper will be released on PyPI when I feel it is mature enough, but if you would like to use it now, you can clone this repository and run the following command where the files are extracted.
pip install .
Currently, you may need Cython to build this project.
Dependencies
PGReaper requires a minimum of dependencies. Namely, these are Python 3.5+, psycopg2, and obviously PostgreSQL (use 9.3+ for JSON features).
Documentation
Full documentation (or at least that's the goal!) is available here. As a user of software, I frequently get frustrated with inconsistent, inaccurate or unclear documentation. However, as a writer of software I also realize writing documentation isn't always fun and what is obvious to you isn't always obvious to others. If you see something that needs improvement, feel free to submit an issue or pull request.
