摘要： Joining means taking KStream and / or KTable and creating a new KStream or KTable from it There are 4 kind of joins (SQL-like) https://docs.confluent. 阅读全文

摘要： About Exactly Once Semantic Since Kafka 0.11 version Kafka support Exactly Once Semantic, which means, that Kafka can give you the grarantee that each 阅读全文

摘要： KTable: groupBy KGroupedStream / KGroupedTable: Count Reduce Aggregate KStreams: Peek Transform / TransformValues KTable GroupBy() KGroupedStream / KG 阅读全文

摘要： 对java的泛型特性的了解仅限于表面的浅浅一层，直到在学习设计模式时发现有不了解的用法，才想起详细的记录一下。 本文参考java 泛型详解、Java中的泛型方法、 java泛型详解 https://www.cnblogs.com/coprince/p/8603492.html 1. 概述 泛型在ja 阅读全文

摘要： Definition KStreams -> like logs, which is insert only and it is infinity KTables All upserts on non null values Deletes on null values Similar to a t 阅读全文

摘要： Prepare the topics and the input data Assume that you installed confluent platform quickstart and have already started all of services. In this sectio 阅读全文

摘要： see: https://docs.confluent.io/current/quickstart/ce-quickstart.html#ce-quickstart This quick start shows you how to get up and running with Confluent 阅读全文

摘要： I opensourced my ML-Project for quickly start a django based machine learning project with user and admin backend. With this template you can develop 阅读全文

摘要： 1 Overview Distributed architecture has been all the rage this past year. As programmers get frustrated with the troubled monoliths that are their leg 阅读全文

摘要： StatefulSet must contain three components: Headless Service StatefulSet volumeClaimTemplate (pv must be prepared) We have created pv in the section pv 阅读全文