Disruptor is a high-performance concurrent programming framework with the following features and functions:
1. RingBuffer ring data structure
The core data structure of Disruptor is the RingBuffer ring queue, which is used to store concurrent data of the client and transfer it between producers and consumers. The queue is stored sequentially in batches, which can efficiently perform concurrent read and write operations.
2. Lock-free design
The Disruptor is completely lock-free, and only uses the CAS mechanism to control concurrent access to RingBuffer, avoiding the overhead of locks.
3. Pipeline production and consumption
Disruptor uses the event pipeline to transfer data, the producer produces the event into the RingBuffer, and the consumer reads the event from the RingBuffer and processes it. The two are decoupled efficiently.
4. Pre-allocated memory
RingBuffer will pre-allocate a specified size of memory space, avoiding the performance loss caused by dynamic expansion.
5. Parallel consumption
Disruptor supports multiple producer and consumer instances to operate RingBuffer in parallel to improve the overall throughput of the system.
6. Low-latency interaction
The Disruptor preloads the concurrent queue memory into the CPU cache, which greatly reduces the interaction delay between producers and consumers.
7. Support event processor
Multiple event processors can be set for RingBuffer to form an asynchronous event processing pipeline, which is very suitable for batch event processing scenarios.
8. Sequence dependency support
Event handlers can set sequence dependencies to ensure the sequence of event processing.
Through the above design, Disruptor can achieve millions of high-throughput concurrent processing per second while maintaining low latency.