reddit_mining
jq-zsh-plugin
| reddit_mining | jq-zsh-plugin | |
|---|---|---|
| 4 | 4 | |
| 11 | 298 | |
| - | - | |
| 2.6 | 6.0 | |
| 10 months ago | 23 days ago | |
| HTML | Shell | |
| Creative Commons Zero v1.0 Universal | MIT License |
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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
jq-zsh-plugin
- Interactive Examples for Learning Jq
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Analyzing multi-gigabyte JSON files locally
https://github.com/reegnz/jq-zsh-plugin
I find that for big datasets choosing the right format is crucial. Using json-lines format + some shell filtering (eg. head, tail to limit the range, egrep or ripgrep for the more trivial filtering) to reduce the dataset to a couple of megabytes, then use that jq-repl of mine to iterate fast on the final jq expression.
I found that the REPL form factor works really well when you don't exactly know what you're digging for.
What are some alternatives?
json-streamer - A fast streaming JSON parser for Python that generates SAX-like events using yajl
semi_index - Implementation of the JSON semi-index described in the paper "Semi-Indexing Semi-Structured Data in Tiny Space"
json-buffet
z-a-readurl - 🌀 An annex delivers the capability to automatically download the newest version of a file to which URL is hosted on a webpage
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
lnav - Log file navigator
zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
ClickHouse - ClickHouse® is a free analytics DBMS for big data
ojg - Optimized JSON for Go