Spark Structured Streaming

最新推荐文章于 2025-05-27 12:59:17 发布

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#spark #streaming #Structured #sigmod #sparkstreaming

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随着实时数据的普及，组织需要可扩展、易用且易于集成到业务应用的流式系统。Structured Streaming作为Apache Spark中的一种新型高级流式API，基于Spark Streaming经验，提供了一种声明式的API，通过自动增量化静态关系查询来简化流处理流程，同时支持集成批处理和交互式分析，以实现端到端的实时应用。

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With the ubiquity of real-time data, organizations need streaming systems that are scalable, easy to use, and easy to integrate into business applications. Structured Streaming is a new high-level streaming API in Apache Spark based on our experience with Spark Streaming. Structured Streaming differs from other recent stream- ing APIs, such as Google Dataflow, in two main ways. First, it is a purely declarative API based on automatically incrementalizing a static relational query (expressed using SQL or DataFrames), in con- trast to APIs that ask the user to build a DAG of physical operators. Second, Structured Streaming aims to support end-to-end real-time applications that integrate streaming with batch and interactive analysis. We found that this integration was often a key challenge in

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