CoinCap-firehose-s3-DynamicPartitioning
jq
| CoinCap-firehose-s3-DynamicPartitioning | jq | |
|---|---|---|
| 1 | 306 | |
| 0 | 25,063 | |
| - | - | |
| 10.0 | 0.0 | |
| over 2 years ago | 12 months ago | |
| TypeScript | C | |
| - | GNU General Public License v3.0 or later |
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CoinCap-firehose-s3-DynamicPartitioning
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What's the best tool to build pipelines from REST APIs?
I agree with the Cron triggered Lambda approach. For inspiration I have a small project where a lambda pulls data from a public api and writes it to a firehose which buffers the data and writes it to s3. There is also a cron job on Glue which catalogues the data. https://github.com/TrygviZL/CoinCap-firehose-s3-DynamicPartitioning
jq
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GNU Parallel, where have you been all my life?
That should recursively list directories, counting only the files within each, and output² jsonl that can be further mangled within the shell². You could just as easily populate an associative array for further work, or $whatever. Unlike bash, zsh has reasonable behaviour around quoting and whitespace too.
¹ https://zsh.sourceforge.io/Doc/Release/User-Contributions.ht...
² https://github.com/jpmens/jo
³ https://github.com/stedolan/jq
- How do i edit reputation?
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Jj: JSON Stream Editor
What I miss from jq and what is implemented but unreleased is platform independent line delimiters.
jq on Windows produces \r\n terminated lines which can be annoying when used with Cygwin / MSYS2 / WSL. The '--binary' option to not convert line delimiters is one of those pending improvements.
https://github.com/stedolan/jq/commit/0dab2b18d73e561f511801...
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Building and deploying a web API powered by ChatGPT
If you have jq installed you can use it to make the output look nicer.
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Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Check the jq manual!
- mkv vs mp4 metadata
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Amazon Begs Employees Not to Leak Corporate Secrets to ChatGPT
jq is your friend.
- Memes are all cool and all. But this is your daily remaining that 10000! =
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How to export/import/externally-edit/whatever WI entries?
The jq command (https://stedolan.github.io/jq/) is useful pulling that information out.
What are some alternatives?
gnu-parallel - A clone of GNU Parallel (git://git.savannah.gnu.org/parallel.git)
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
astro-sdk - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
gojq - Pure Go implementation of jq
json5 - JSON5 — JSON for Humans
jp - Validate and transform JSON with Bash
nushell - A new type of shell
Jolt - JSON to JSON transformation library written in Java.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
jmespath.py - JMESPath is a query language for JSON.