octosql
lnav
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octosql | lnav | |
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34 | 75 | |
4,683 | 6,543 | |
- | - | |
4.3 | 9.5 | |
6 months ago | 2 days ago | |
Go | C++ | |
Mozilla Public License 2.0 | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
octosql
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Wazero: Zero dependency WebAssembly runtime written in Go
Never got it to anything close to a finished state, instead moving on to doing the same prototype in llvm and then cranelift.
That said, here's some of the wazero-based code on a branch - https://github.com/cube2222/octosql/tree/wasm-experiment/was...
It really is just a very very basic prototype.
- Analyzing multi-gigabyte JSON files locally
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DuckDB: Querying JSON files as if they were tables
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 SDK, or even something like Steampipe[2] does for Postgres FDWs which would provide a shim for quickly implementing non-performance-sensitive extensions for various things.
Godspeed!
[0]: https://duckdb.org/2022/09/30/postgres-scanner.html
[1]: https://github.com/cube2222/octosql
[2]: https://steampipe.io
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Show HN: ClickHouse-local – a small tool for serverless data analytics
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 on - vs OctoSQL[0] at least - is that it seems like the JSON datasource is slower, especially if only a small part of the JSON objects is used. If only a single field of many is used, OctoSQL lazily parses only that field, and skips the others, which yields non-trivial performance gains on big JSON files with small queries.
Basically, for a query like `SELECT COUNT(*), AVG(overall) FROM books.json` with the Amazon Review Dataset, OctoSQL is twice as fast (3s vs 6s). That's a minor thing though (OctoSQL will slow down for more complicated queries, while for ClickHouse decoding the input is and remains the bottleneck).
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Steampipe – Select * from Cloud;
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 main use case of Steampipe - in that case I think the APIs themselves will always be the limiting part. But it does - potentially - speak to what you can expect if you'd like to extend your usage of Steampipe to more than just DevOps data.
[0]: https://github.com/cube2222/octosql
[1]: https://github.com/apache/arrow-datafusion
Disclaimer: author of OctoSQL
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Go runtime: 4 years later
Actually, folks just use gRPC or Yaegi in Go.
See Terraform[0], Traefik[1], or OctoSQL[2].
Although I agree plugins would be welcome, especially for performance reasons, though also to be able to compile and load go code into a running go process (JIT-ish).
[0]: https://github.com/hashicorp/terraform
[1]: https://github.com/traefik/traefik
[2]: https://github.com/cube2222/octosql
Disclaimer: author of OctoSQL
- Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
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Beginner interested in learning SQL. Have a few question that I wasn’t able to find on google.
Through more magic, you COULD of course use stuff like Spark, or easier with programs like TextQL, sq, OctoSQL.
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How I Used DALL·E 2 to Generate the Logo for OctoSQL
Hey, author here, happy to answer any questions!
The logo was created for OctoSQL[0] and in the article you can find a lot of sample phrase-image combinations, as it describes the whole path (generation, variation, editing) I went down. Let me know what you think!
- A SQLite extension for reading large files line-by-line
lnav
- FLaNK Stack 26 February 2024
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Toolong: Terminal application to view, tail, merge, and search log files
The code base seems like a good reference as a small Python project.
My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4
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Logdy.dev – web based logs viewer UI for local development environment
For local development, I cannot recommend lnav[1] enough. Discovering this tool was a game changer in my day to day life. Adding comments, filtering in/out, prettify and analyse distribution is hard to live without now.
I don't think a browser tool would fit in my workflow. I need to pipe the output to the tool.
- Textanalysistool.net
- Ask HN: What apps have you created for your own use?
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Ask HN: How does `lnav` run its playground which you can just SSH into?
https://lnav.org/ has a feature that single handedly sold me on trying out the fantastic software: An SSH-reachable playground. It's right there above the fold on the first page: ssh://[email protected]
I want to build a similar playground for people who want to get familiar with the tools my Shell Bling Ubuntu repo provides ( https://github.com/hiAndrewQuinn/shell-bling-ubuntu ). Ideally it consists of a series of very simple tasks to get one's feet wet with each tool provided: Using fish's autocompletion, then using fzf's shell keybindings, then using rg instead of grep to search an enormous number of files for a single needle character in a million lines of wheat , and so on.
I have no clue how to do this safely. I've never seen how anyone else does it either. Can anyone provide me some pointers?
It looks like they run an SSH server inside a Docker container defined by this Dockerfile [1]. This uses the ForceCommand directive in the sshd_config file to ensure that a specific command is run when a user connects (rather than the user connecting directly to a shell).
Depending on whether the user connects as the `playground` or `tutorial1` user they interact with a bash script that is either [2] or [3].
[1]: https://github.com/tstack/lnav/blob/master/demo/Dockerfile
[2]: https://github.com/tstack/lnav/blob/master/docs/tutorials/pl...
[3]: https://github.com/tstack/lnav/blob/master/docs/tutorials/tu...
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Show HN: Tailspin – A Log File Highlighter
This is really pretty - I do really wish for a good rust replacement for lnav[1] someday.
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Structured Logging with Slog
> I also don't see something else I might want: a way to have a different "view" for certain log messages; maybe to switch between filtering/viewing particular ones, maybe to just have line-format be conditional based on the detected format.
Have a look at the following comment on an issue that might be similar to what you're thinking of:
https://github.com/tstack/lnav/issues/1065#issuecomment-1602...
> I guess I can sort of do this based on `module-field`? but I might want it lighter-weight/finer-grained than that.
Unfortunately, the "module-field" does not work for JSON logs at the moment. It's something I should really fix.
Ultimately, lnav has existed for almost two decades now and I use it every day. So, it's always seeing improvements. If you're having a problem with it, file an issue on github. I don't always get around quickly to fixing other folks feature requests / issues, but it tends to happen eventually.
Thanks.
What are some alternatives?
duckdb - DuckDB is an in-process SQL OLAP Database Management System
lightproxy - 💎 Cross platform Web debugging proxy
dive - A tool for exploring each layer in a docker image
q - q - Run SQL directly on delimited files and multi-file sqlite databases
trdsql - CLI tool that can execute SQL queries on CSV, LTSV, JSON, YAML and TBLN. Can output to various formats.
sqlitebrowser - Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
glow - Render markdown on the CLI, with pizzazz! 💅🏻
textql - Execute SQL against structured text like CSV or TSV
nnn - n³ The unorthodox terminal file manager
sqlite-utils - Python CLI utility and library for manipulating SQLite databases
conio-for-linux - Conio.h for linux