Parallelism in the context of computing, and specifically in stream processing systems like RisingWave, refers to the ability of the system to execute multiple tasks or parts of a single task concurrently. This is a fundamental technique for achieving high performance, scalability, and efficient resource utilization, especially when dealing with large volumes of data or computationally intensive workloads.
Stream processing systems leverage parallelism extensively to handle continuous, high-velocity data streams:
Pipeline Parallelism (Inter-Operator Parallelism):
Data Parallelism (Intra-Operator Parallelism):
Distributed Execution:
RisingWave is architected to exploit parallelism for high performance and scalability:
By effectively leveraging parallelism, stream processing systems like RisingWave can provide the performance and scalability needed for demanding real-time data applications.