Applying Flink CEP for Complex Event Processing at Haolo Mobility
This article explains how Flink CEP, a complex event processing library for Apache Flink, is employed at Haolo Mobility to detect intricate patterns in endless data streams by modeling patterns as states and using pattern conditions for state transitions, illustrating its practical application in real‑world big‑data scenarios.
Flink CEP is the complex event processing library of Apache Flink, enabling users to quickly detect complex patterns in infinite data streams. However, Flink CEP can only be used through the DataStream API.
Each Flink pattern consists of multiple states, and the pattern matching process is essentially a state‑transition process. A state can be understood as a collection of patterns, and to transition from the current state to the next, users can specify conditions on the pattern for filtering and transitioning.
In this presentation by Liu Bo from Haolo Mobility, the application of Flink CEP at Haolo is examined.
Keywords: Flink Complex Event Processing
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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