What is ChaosTree?

ChaosTree is a zero-dependency Java Sorted Set/Map library built around multiple tree implementations.

It provides implementations of: - AVL Tree - Red-Black Tree - B-Tree - B+Tree

I have not made my custom API as it implements NavigableSet, NavigableMap, SequencedSet and SequencedMap. My Custome API are: - buildFromSorted(Iterator> it, float factor) - importFlatMatrix(Object[][] blast, float factor) - Object[][] exportFlatMatrix()

I started ChaosTree because I wanted to explore how far I could learn DS structure, It started as frst release of 7 tree of Set type with Custome API, As i got engrossed into it I moved to Map, During phase of switching from Set to Map there was drastic change and knowledge upgrade where I pushed my Tree limit from jdk11+ support to jdk21+ where paid close attention to dependency-free and memory layout, allocation,JVM behavior, and real-world performance.

Some of the things I experimented with: - Different node layouts and metadata footprints - CRTP/F-bounded polymorphism for tree implementations - Parent-pointer vs parentless nodes - Array-based N-ary tree nodes - B-Tree/B+Tree degree selection - JMH benchmarking and JFR profiling - Differential/randomized testing against java.util.TreeMap/TreeSet

After this rough and tough It also passes these test:

-Guava Testlib compatibility testing -jqwik property-based testing -Randomized differential testing against reference collections -White-box structural validation of tree nodes -Direct validation of B-Tree/B+Tree structural invariants -Exception and iterator-contract testing -Serialization and cloning tests -Nary Tree uses custom jqwick test of API validation as well.

Tail latency behavior is not shown here because it get's truncated into a simple text which made the dat read wrong:https://chaos-vy.github.io/ChaosTree/utils/JMH-Report.html I have also ran benchmark with official JDK TreeMapUpdate to my N-ary tree.

GitHub: https://github.com/Chaos-vy/ChaosTree https://chaos-vy.github.io/ChaosTree/

I'd especially like feedback on the API design, implementation choices, benchmark methodology. I am currently trying to truncate useless and complex branches for performnace tuning.