Spark version Custom 10th day: Streaming data lifecycle and thinking

Contents of this issue:

1 Data Flow life cycle

2 Deep thinking

All data that cannot be streamed in real time is invalid data. In the stream processing era, Sparkstreaming has a strong appeal, and development prospects, coupled with Spark's ecosystem, streaming can easily call other powerful frameworks such as Sql,mllib, it will eminence.

The spark streaming runtime is not so much a streaming framework on spark core as one of the most complex applications on spark core. If you can master the complex application of spark streaming, then other complex applications are a cinch. It is also a general trend to choose spark streaming as a starting point for custom versions.

Spark version Custom 10th day: Streaming data lifecycle and thinking