Apache Storm is a distributed real-time stream processing system designed for big data. Here's a simple way to understand and remember its architecture:
Core Components
- Spouts: Think of these as "water sources"
- Entry points that emit data streams
- Like a tap that continuously releases water
- Bolts: Think of these as "processors"
- Transform, filter, or aggregate data
- Like filters or treatment stations in a water system
Topology
Remember it as a "flowing river system": Data flows from Spouts through various Bolts, creating a directed graph (topology) – just like how rivers flow through different processing points.
graph LR
A["Spout"] --> B["Bolt 1"]
B --> C["Bolt 2"]
B --> D["Bolt 3"]
C --> E["Final Bolt"]
D --> E
Memorization Tip: Think of it as a water treatment system: Source (Spout) → Processing Plants (Bolts) → Clean Water (Results)