Scalable Stream Processing - Spark Streaming and FlinkPerform database-like query optimizations. 56 / 79 Programming Model (1/2) ▶ Two main steps to develop a Spark stuctured streaming: ▶ 1. Defines a query on the input table, as a static table. • Spark table), and incrementally updates the result. 57 / 79 Programming Model (1/2) ▶ Two main steps to develop a Spark stuctured streaming: ▶ 1. Defines a query on the input table, as a static table. • Spark table), and incrementally updates the result. 57 / 79 Programming Model (1/2) ▶ Two main steps to develop a Spark stuctured streaming: ▶ 1. Defines a query on the input table, as a static table. • Spark0 码力 | 113 页 | 1.22 MB | 1 年前3
Course introduction - CS 591 K1: Data Stream Processing and Analytics Spring 2020or a Linux virtual machine to run Flink in a UNIX environment. • A Java 8.x installation. To develop Flink applications and use its DataStream API in Java or Scala you will need a Java JDK. A Java0 码力 | 34 页 | 2.53 MB | 1 年前3
Streaming in Apache Flink@SenorCarbone Contents • DataSet API • DataStream API • Concepts • Set up an environment to develop Flink programs • Implement streaming data processing pipelines • Flink managed state • Event0 码力 | 45 页 | 3.00 MB | 1 年前3
Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020between any pair of addresses at any point in the stream. 13 It is the most general model Hard to develop space-efficient and time-efficient algorithms Vasiliki Kalavri | Boston University 2020 Relational0 码力 | 45 页 | 1.22 MB | 1 年前3
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