json-streamer
reddit_mining
json-streamer | reddit_mining | |
---|---|---|
2 | 4 | |
215 | 11 | |
- | - | |
2.4 | 2.6 | |
about 1 year ago | 10 months ago | |
Python | HTML | |
MIT License | Creative Commons Zero v1.0 Universal |
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json-streamer
- Processing large JSON datasets by streaming
-
Analyzing multi-gigabyte JSON files locally
Might be useful for some - https://github.com/kashifrazzaqui/json-streamer
reddit_mining
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Analyzing multi-gigabyte JSON files locally
zstd decompression should almost always be very fast. It's faster to decompress than DEFLATE or LZ4 in all the benchmarks that I've seen.
you might be interested in converting the pushshift data to parquet. Using octosql I'm able to query the submissions data (from the begining of reddit to Sept 2022) in about 10 min
https://github.com/chapmanjacobd/reddit_mining#how-was-this-...
Although if you're sending the data to postgres or BigQuery you can probably get better query performance via indexes or parallelism.
- reddit_mining - List of all Subreddits
- Show HN: List of All Subreddits
- Top 50k Subreddits
What are some alternatives?
ijson
json-buffet
python-slugify - Returns unicode slugs
semi_index - Implementation of the JSON semi-index described in the paper "Semi-Indexing Semi-Structured Data in Tiny Space"
awesome-slugify - Python flexible slugify function
jq-zsh-plugin - jq zsh plugin
python-nameparser - A simple Python module for parsing human names into their individual components
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
pydantic - Data validation using Python type hints
lnav - Log file navigator