HPCC System 7.0.0 Gold is now available

[lchapman]

We are very pleased to announce that HPCC Systems 7.0.0 Gold is now available for download.

Read our blog to find out about the main new features and enhancements or view the release notes for the full list of changes. The supporting documentation is available on our website and we recommend that you browse the RedBook for additional information about specific items of note.

The following list shows the highlights which are covered in our HPCC Systems 7.0.0 Gold blog. There are also some feature specific blogs available and where more information is available on our website or GitHub, links are supplied.

Performance enhancements

• Persistent connections
• Improved Keyed Joins
• Remote Projection and record translation

Usability enhancements

• Systemd and daemonisation of components
• VS-Code extension
• Spark connector
• Ws_SQL is now part of the HPCC Systems distro
• Session management improvements
• Log Visualisation Tool using ELK
• Timings Dashboard
• XREF for Roxie
• Dynamic ESDL improvements
• 'Mine' Checkbox in ECL Watch
• eclcc indexer

ECL Language and Library Improvements

• Best attribute added to dedup
• New attribute in EMBED
• Default implementation of GROUP(dataset, fields, ,ALL) has changed
• Remote read/disk projection and record translation
• Unicode standard library functions
• BLOOM filters
• Date function improvements

New bundles

• GLM bundle - Generalized Linear Model machine learning bundle
• SVM bundle - Support Vector Machines machine learning bundle
• Data Patterns Bundle - Data profiling tool
• Dapper Bundle - Turns verbose ECL calls into simple verbs.
• Sassy Bundle - ECL helper for SAS calls

Machine Learning Library Improvements

• Gradient Boosted Trees has been added to the Learning Trees bundle
• More descriptive stats in the Field Aggregates module of ML_Core
• Inclusion of the Regression2 and Model2 definitions in the Analysis module of ML_Core
• Some common capabilities have been added to the IClassify and IRegression interfaces in the Analysis module of ML_Core
• GLM bundle
• SVM bundle

Have questions or need a tip? Post in our Developer forum.
Found an issue or have a feature request? Raise a JIRA issue.
Want to contribute? Walk through the process and take a look at the notes for developers included in the readme in our GitHub repository.