CoinCap-firehose-s3-DynamicPartitioning
gnu-parallel
| CoinCap-firehose-s3-DynamicPartitioning | gnu-parallel | |
|---|---|---|
| 1 | 23 | |
| 0 | 25 | |
| - | - | |
| 10.0 | 10.0 | |
| over 2 years ago | about 9 years ago | |
| TypeScript | Perl | |
| - | GNU General Public License v3.0 only |
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.
CoinCap-firehose-s3-DynamicPartitioning
-
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
gnu-parallel
-
SQL query execution idea
You can use GNU Parallel (https://www.gnu.org/software/parallel/) to run command-line clients with all of those queries. You can set up the upper limit of simultaneous clients run, and this will automatically handle all possible parallelism.
- Parallel – shell tool for executing jobs in parallel using one or more computers
-
Distcc: A fast, free distributed C/C++ compiler
Some other multi machine options that have worked well for me, well beyond just compilation of C/C++ on multiple machines with multiple cores.
1) set up passwordless, ssh.
and
2) use the gnu parallel. https://www.gnu.org/software/parallel/
gnu parallel is super flexible, very useful.
-
Peplum: F/OSS distributed parallel computing and supercomputing at Home with Ruby infrastructure
How does this stack up againg GNU parallel? If you just wanna parallelize CLI work-loads (like nmap), parallel should be easier, I guess.
-
Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Is there a way to use all CPU cores while using RIBlast?
-
Can cuda help me here?
Since you've got lots of images, you could use GNU Parallel to spread the job across multiple CPUs.
-
5 great Perl scripts to keep in your sysadmin toolbox
Gnu parallel
- Is there an .deb package for installing GNU parallel?
-
Modern SPAs without bundlers, CDNs, or Node.js
You could easily use something like GNU Parallel:
https://www.gnu.org/software/parallel/
What are some alternatives?
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
Parallel
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
bazel-buildfarm - Bazel remote caching and execution service
astro-sdk - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
lolcate-rs - Lolcate -- A comically fast way of indexing and querying your filesystem. Replaces locate / mlocate / updatedb. Written in Rust.
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
parallel - xargs for concurrent, distributed execution of shell commands
micro-editor - A modern and intuitive terminal-based text editor
zsh-autosuggestions - Fish-like autosuggestions for zsh