OctoSQL[0] or DuckDB[1] will most likely be much simpler, while going through 10 GB of JSON in a couple seconds at most. Disclaimer: author of OctoSQL [0]: https://github.com/cube2222/octosql. - Source: Hacker News / about 1 year ago

This is really cool! With their Postgres scanner[0] you can now easily query multiple datasources using SQL and join between them (i.e. Postgres table with JSON file). Something I strived to build with OctoSQL[1] before. It's amazing to see how quickly DuckDB is adding new features. Not a huge fan of C++, which is right now used for authoring extensions, it'd be really cool if somebody implemented a Rust extension... - Source: Hacker News / about 1 year ago

Congrats on the Show HN! It's great to see more tools in this area (querying data from various sources in-place) and the Lambda use case is a really cool idea! I've recently done a bunch of benchmarking, including ClickHouse Local and the usage was straightforward, with everything working as it's supposed to. Just to comment on the performance area though, one area I think ClickHouse could still possibly improve... - Source: Hacker News / over 1 year ago

SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats. Dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath... - Source: Hacker News / over 1 year ago

To add somewhat of a counterpoint to the other response, I've tried the Steampipe CSV plugin and got 50x slower performance vs OctoSQL[0], which is itself 5x slower than something like DataFusion[1]. The CSV plugin doesn't contact any external API's so it should be a good benchmark of the plugin architecture, though it might just not be optimized yet. That said, I don't imagine this ever being a bottleneck for the... - Source: Hacker News / over 1 year ago

Once you've extracted it, you'll need a text editor capable of opening very large files. I use glogg which lets you open files like this without loading the whole thing at once. Source: about 1 year ago

You can attack huge files with this: https://glogg.bonnefon.org/. Source: over 1 year ago

I've been using https://glogg.bonnefon.org/. The mark / matches feature is really handy. However there are a few bugs with highlighting and it hasn't been updated in a while. Will have to check this out! - Source: Hacker News / over 1 year ago

There's a multi-platform GUI tool glogg that 's very good for browsing and searching files that break normal editors (long lines in particular tend to kill editors even with word wrap enabled). Source: almost 3 years ago

For a nice GUI log file viewer, I really like glogg ( https://glogg.bonnefon.org/ ) which is avaialble windows/mac/linux. - Source: Hacker News / almost 3 years ago