Koloboke - Java Collections till the last breadcrumb of memory and performance

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A family of projects around collections in Java (so far). A carefully designed extension of the Java Collections Framework with primitive specializations and more. Java 6+. Apache 2.0 license.

java-collections koloboke annotation-processor primitive-specializations high-performance hashmap collections

Tape - A lightning fast, transactional, file-based FIFO for Android and Java.

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A lightning fast, transactional, file-based FIFO for Android and Java. QueueFile is a lightning-fast, transactional, file-based FIFO. Addition and removal from an instance is an O(1) operation and is atomic. Writes are synchronous; data will be written to disk before an operation returns. The underlying file is structured to survive process and even system crashes and if an I/O exception is thrown during a mutating change, the change is aborted.

queue java-collections data-structure collections

Redisson - Redis based In-Memory Data Grid for Java

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Redisson - distributed Java objects and services (Set, Multimap, SortedSet, Map, List, Queue, BlockingQueue, Deque, BlockingDeque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Executor service, Tomcat Session Manager, Scheduler service, JCache API) on top of Redis server. Rich Redis client.

cache distributed-caching distributed-locks redis-client redis-cluster collections java-collections hashmap set queue

MapDB - Embedded Database Engine

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MapDB is an embedded database engine. It provides Maps and other collections backed by disk or memory storage. It offers excellent performance comparable to java collections, but is not limited by GC overhead. It is also a full database engine with storage backends, transactions, cache algorithms, expiration and many other options. MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory.

embedded-database database java-collections off-heap cache in-memory key-value-store

Boon - Low Ceremony. High Productivity. A real boon to Java to developers!

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The main goal of Boon is to reduce the productivity delta between Java and Python/Groovy/Ruby. The idea is to just create a lower ceremony APIs. Less Java like APIs, and more getting things done quickly APIs. If reading a file takes one line of code in Ruby/Python/Groovy, then it will also in Java. If slice notation is part of those language, then Boon will have it to.

java-collections data-structure utility json-parser collections

Big Queue - A big, fast and persistent queue based on memory mapped file.

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A big, fast and persistent queue based on memory mapped file.

queue java-collections collections data-structure memory-mapped

javatuples - Typesafe representation of tuples in Java.

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javatuples is one of the simplest java libraries ever made. Its aim is to provide a set of java classes that allow you to work with tuples.

tuple java-tuple java-collections collections

SmoothieMap - A gulp of low latency Java

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SmoothieMap is a java.util.Map implementation with worst put(k, v) operation latencies more than 100 times smaller than in ordinary hash table implementations like java.util.HashMap.

low-latency java-collections hashmap collections openhft

gather - Run SQL queries on Java objects in a collection

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SQL queries for Java collections

sql sql-query java-collections hoc-queries in-memory dynamic-queries