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apache / mnemonic / 65b8eeae1c75eaf9c05317a678dd35c3f7da519d
commit65b8eeae1c75eaf9c05317a678dd35c3f7da519d[log] [tgz]
authorGary <garyw@apache.org>Sat Jul 18 13:47:59 2020 -0700
committerGary <garyw@apache.org>Sat Jul 18 13:47:59 2020 -0700
tree177782ca0f7cdad83963248e1f825ca6063c1efd
parent204ad76d457fbbd19ec9d317006f5969018376d1 [diff]
Fix SuppressionFilter initialization failure
4 files changed
tree: 177782ca0f7cdad83963248e1f825ca6063c1efd
  1. .circleci/
  2. bin/
  3. docker/
  4. mnemonic-benches/
  5. mnemonic-collections/
  6. mnemonic-common/
  7. mnemonic-computing-services/
  8. mnemonic-core/
  9. mnemonic-examples/
  10. mnemonic-hadoop/
  11. mnemonic-memory-services/
  12. mnemonic-query/
  13. mnemonic-sessions/
  14. mnemonic-spark/
  15. .gitattributes
  16. .gitignore
  17. .travis.yml
  18. KEYS
  19. LICENSE
  20. NOTICE
  21. pom.xml
  22. README.md
README.md

================================

Mnemonic Official Website

Build Status

Apache Mnemonic is a non-volatile hybrid memory storage oriented library, it proposed a non-volatile/durable Java object model and durable computing service that bring several advantages to significantly improve the performance of massive real-time data processing/analytics. developers are able to use this library to design their cache-less and SerDe-less high performance applications.

Features:

  • In-place data storage on local non-volatile memory
  • Durable Object Model (DOM)
  • Durable Native Computing Model (DNCM)
  • Object graphs lazy loading & sharing
  • Auto-reclaim memory resources and Mnemonic objects
  • Hierarchical cache pool for massive data caching
  • Extensible memory services for new device adoption and allocation optimization
  • Durable data structure collection(WIP)
  • Durable computing service
  • Minimize memory footprint of on-heap
  • Reduce GC Overheads as the following chart shown (collected from Apache Spark experiments)
  • Drop-in Hadoop MapReduce support
  • Drop-in Hadoop Spark support