Welcome to the HPCC Systems developer community!
Track the latest developments and help make our platform even better. Whether you're an experienced HPCC Systems user or just getting started, there are a number of ways to get involved. Ask questions and find answers in our Support Forums.
Contribute to our community
Make your mark by contributing your ideas and code to the HPCC Systems community.All contributions are reviewed before being published.
SHARE YOUR CODE
Code release process:
- Create a GitHub account.
- Fork the HPCC Systems platform (or other) repository.
- Clone your GitHub repository to your development machine.
- Create a new branch.
- Make the changes and commit them to the branch.
- Push the branch to your GitHub repository.
- Issue a pull request.
- Get code reviewed.
- Code is merged!
TRACK, REPORT AND SOLVE ISSUES
For bug tracking and software tracking, we use Jira:
HELP WITH ACTIVE PROJECTS
Take a look at our 2018 Google Summer of Code and HPCC Systems Intern Program project lists. All project ideas are available for anyone who wants to contribute a solution. Some ideas are not fully formulated, and others also show the name of an HPCC Systems developer to contact, so you can discuss your solution.
CONNECT WITH A DEVELOPER
Have an idea and want to discuss it with an HPCC Systems developer? Email Lorraine Chapman who will help you get connected.
CONTRIBUTE TO THE ROADMAP
SEE WHAT OTHERS HAVE CONTRIBUTED
View or download ECL code snippets contributed by the community. Contribute ECL snippets of your own.
Access publicly available data sources to play with and leverage in your own ECL applications. Contribute links to public data sources.
Download ECL data descriptors and example programs for working with common, publicly available data sets such as those identified in the Public Data Sources section. Contribute ECL data descriptors and example programs of your own.
Want to see even more examples? Check out the repository.
Join us at these upcoming events. Engage with experts from the HPCC Systems community and hear about the latest trends, breakthroughs, challenges and opportunities in the world of big data.
Highlights include Python3 as the default, support for Spark 2.4 and remote reads, Java Embed improvements, ECL Watch timings dashboard, Workunit Analysis Tool, disk space visualizations, Data Patterns analytics, BLOOM filters, ECL language improvements, disk projection and record translation, persistent connections and faster syntax checking, security enhancements, easier Cloud deployment, new Machine Learning features and more.
Did you know you can work with our ecosystem of partners? Their comprehensive expertise helps our customers drive efficiencies in implementing big data solutions.
Interested in joining our partner ecosystem? We’d love to hear from you. Contact Us.
We work closely with several universities and other academic institutions. Learn more about our academic relationships.
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