AirConcurrentMap is a high speed Java in-memory data storage component for key/value entries called a Map. It has these features:
- 90% Faster searching than Java ConcurrentSkipListMap (for get/put/remove and higher/lower/floor/ceiling)
- 50% to 70% More Capacity than any standard Java Map above 1K Entries
- Iterators are 5 times faster than those in any standard Java Map
- Visitors capability reaches 10x faster than standard Java Map Iterators above 32 Entries. Always beats Iterators
- ThreadedVisitors capability reaches 2x faster than Visitors and is consistently far faster than Java 8 parallel streams
- Low garbage generation, unlike most other Java Maps
- Returns all freed space unlike Hash-based Java Maps, down to one block
- Compatible with all standard Java Maps
We give free advance customer support by a software engineer for our products. Contact us and see at firstname.lastname@example.org.
AirConcurrentMap is free for non-commercial use without source, or commercially licensed with or without source.
Add it to your application, change the constructor and test it or try the trivial tests we tweeted or our extensive performance tests. For specific details see AirConcurrentMap Space Efficiency, high speed Iterators, Visitors and ThreadedVisitors, and Java Map AirConcurrentMap versus ConcurrentSkipListMap Speed. For an extensive performance analysis see AirConcurrentMap_Performance_Testing.pdf. You can run the tests provided for the standard Java Microbenchmarking Harness yourself, to compare performance with all other Java library Maps.
The standard Java Map version 1.6 libraries have this interface structure, with the blue boxes being the standard interfaces of the Java Collections Framework, and the green being the implementations provided in the standard Java Map library. The most basic interface is Map, at the top. but the most complete functionality is at the bottom, in Java ConcurrentNavigableMap. On the left side going down, the Java Map subinterfaces add ordering, which is slower but far more capable and flexible. On the right going down, concurrency is added, which allows for thread safety and multi-core concurrency for overlapped execution. AirConcurrentMap, being a ConcurrentNavigableMap, is both ordered and multi-core.
The capabilities of the various Java Maps can be seen in this bullet chart. AirConcurrentMap is ordered and concurrent, hence is a universal drop-in replacement for any other Java Map. This means the capacity increase above 1K Entries, iteration speedup and multi-core concurrency is always available simply by replacing the constructors in the code.
The graphs below show how easily AirConcurrentMap beats ConcurrentSkipListMap. The curves show not only higher speed, but also end with more entries, showing AirConcurrentMap time and space advantages. The curves end where the JVM slows down and runs out of space at 2GB with 64-bit Java 1.8 client in a quad-core 2.3GHz Intel i7 with 8GBRAM on Windows 7. These and many other detailed graphs are provided in AirConcurrentMap Performance Testing.
Note the scan speed of the AirConcurrentMap can be further much improved by using the special MapVisitors and ThreadedMapVisitors techniques.
Iterator Speed Logarithmic Size
Here the X-axis is the logarithm of the Map size.