Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK.
 
<ul>
<li>
SPSC/MPSC/SPMC/MPMC variations for concurrent queues:
<ul>
<li>SPSC - Single Producer Single Consumer (Wait Free, bounded and unbounded)</li>
<li>MPSC - Multi Producer Single Consumer (Lock less, bounded and unbounded)</li>
<li>SPMC - Single Producer Multi Consumer (Lock less, bounded)</li>
<li>MPMC - Multi Producer Multi Consumer (Lock less, bounded)</li>
</ul>
</li>
<li>
SPSC/MPSC linked array queues offer a balance between performance, allocation and footprint
</li>
<li>
An expanded queue interface (MessagePassingQueue):
<ul>
<li>relaxedOffer/Peek/Poll: trade off conflated guarantee on full/empty queue state with improved performance.</li>
<li>drain/fill: batch read and write methods for increased throughput and reduced contention</li>
</ul>
</li>
</ul>

Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK.

JCTools - Java Concurrency Tools for the JVM

Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java and C++. It supports Buffers, Map, Sets, Cache, Queues and lot more.
<ul>
<li>Buffers - Thread safe direct and atomic for working with on and off heap memory with memory ordering semantics.</li>
<li>Lists - Array backed lists of int/long primitives to avoid boxing.</li>
<li>Maps - Open addressing and linear probing with int/long primitive keys to object reference values.</li>
<li>Maps - Open addressing and linear probing with int/long primitive keys to int/long values.</li>
<li>Sets - Open addressing and linear probing for int/long primitives and object references.</li>
<li>Cache - Set Associative with int/long primitive keys to object reference values.</li>
<li>Clocks - Clock implementations to abstract system clocks, allow caching, and enable testing.</li>
<li>Queues - Lock-less implementations for low-latency applications.</li>
<li>Ring/Broadcast Buffers - implemented off-heap for IPC communication.</li>
<li>Basic Agent framework.</li>
<li>Signal handling to support "Ctrl + c" in a server application.</li>
<li>Scalable Timer Wheel.</li>
<li>Basic code generation from annotated implementations that can vary on primitive types.</li>
<li>Off-heap counters implementation for application telemetry and position tracking.</li>
<li>Implementations of InputStream and OutputStream that can wrap direct buffers.</li>
<li>DistinctErrorLog: A log of distinct errors to avoid filling disks with existing logging approaches.</li>
</ul>

Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java and C++. It supports Buffers, Map, Sets, Cache, Queues and lot more.

Agrona - Library to build high-performance applications in Java and C++

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.

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

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.
 
Boon helps to make lists, maps, and sets feel like they are part of the core language instead of APIs. This includes mimicking map literals, list literals, and set literals. Boon will have its own collection libs. Boon has a collection query language already. It is good alternative to Guava.

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.



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

A big, fast and persistent queue based on memory mapped file.
 
Features include: 
<ol>
<li>Fast: close to the speed of direct memory access, both enqueue and dequeue are close to O(1) memory access.</li>
<li>Big: the total size of the queue is only limited by the available disk space.</li>
<li>Persistent: all data in the queue is persisted on disk, and is crash resistant.</li>
<li>Reliable: OS will be responsible to presist the produced messages even your process crashes.</li>
<li>Realtime: messages produced by producer threads will be immediately visible to consumer threads.</li>
<li>Memory-efficient: automatic paging &amp; swapping algorithm, only most-recently accessed data is kept in memory.</li>
<li>Thread-safe: multiple threads can concurrently enqueue and dequeue without data corruption.</li>
<li>Simple&amp;Light-weight: current number of source files is 12 and the library jar is less than 30K.</li>
</ol>

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

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

Immutable Clojure collections and a Transformation abstraction for Java 8+, immutably, type-safely, and with good performance. It provide support for RRB Tree, which is an immutable List (like Clojure's PersistentVector) that also supports random inserts, deletes, and can be split and joined back together in logarithmic time.

Paguro - Immutable Collections and Functional Transformations for the JVM

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Projects

JCTools - Java Concurrency Tools for the JVM

Agrona - Library to build high-performance applications in Java and C++

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

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

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

Paguro - Immutable Collections and Functional Transformations for the JVM

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Projects

JCTools - Java Concurrency Tools for the JVM

Agrona - Library to build high-performance applications in Java and C++

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

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

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

Paguro - Immutable Collections and Functional Transformations for the JVM

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