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Apache Flink is an open-source distributed processing engine primarily designed for stateful computations over unbounded and bounded data streams. It enables high-speed in-memory data processing with elastic scalability.
Core Features:
- Batch & Stream Processing Unification: Flink supports both batch and stream processing, allowing developers to handle different computation tasks with a single system. Batch processing works for bounded datasets while stream processing handles unbounded data streams.
- State Management: Provides rich state management APIs including ValueState, ListState, and MapState to simplify complex state management.
- Event Time Processing: Supports event-time based data processing, tolerating data delays and disorder to ensure accuracy.
- High Availability & Fault Tolerance: The checkpoint mechanism ensures data consistency and state recovery during failures.
Architecture Design:
This project offers pre-configured Flink Stream Analysis Tool images with Flink and its runtime environment pre-installed, along with deployment templates. Follow the guide to enjoy an "out-of-the-box" experience.
System Requirements:
- CPU: 2GHz or higher
- RAM: 4GB or more
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Version | Description | Notes |
|---|---|---|
| Flink-1.13.0-kunpeng | Deployed on Kunpeng servers with Huawei Cloud EulerOS 2.0 64bit | |
| Flink-1.17.0-kunpeng | Deployed on Kunpeng servers with Huawei Cloud EulerOS 2.0 64bit, added real-time writing and real-time collection of GaussDB |
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