Signed-off-by: Li Shen <lishen@apache.org>
1 file changed
tree: 6f30572ff122c054385c2ee6403d5b9997338545
  1. .asf.yaml
  2. .gitattributes
  3. .github/
  4. .gitignore
  5. KEYS
  8. README.md
  9. build.gradle
  10. docker/
  11. gradle/
  12. gradlew
  13. gradlew.bat
  14. mnemonic-benches/
  15. mnemonic-collections/
  16. mnemonic-common/
  17. mnemonic-computing-services/
  18. mnemonic-core/
  19. mnemonic-examples/
  20. mnemonic-hadoop/
  21. mnemonic-memory-services/
  22. mnemonic-sessions/
  23. mnemonic-spark/
  24. pom.xml
  25. settings.gradle
  26. tools/


Mnemonic Official Website


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.


  • 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