WebFeb 28, 2024 · Apache Flink 1.4.0, released in December 2024, introduced a significant milestone for stream processing with Flink: a new feature called TwoPhaseCommitSinkFunction ( relevant Jira here) that extracts the common logic of the two-phase commit protocol and makes it possible to build end-to-end exactly-once … WebFlink SQL Gateway简介. 从官网的资料可以知道Flink SQL Gateway是一个服务,这个服务支持多个客户端并发的从远程提交任务。. Flink SQL Gateway使任务的提交、元数据的查询、在线数据分析变得更简单。. Flink SQL Gateway的架构如下图,它由插件化的Endpoints和SqlGatewayService两 ...
Building ETL data integration based on Flink SQL for streaming …
WebNov 28, 2024 · This is a Flink ecosystem project. Apache Flink is an excellent unified stateful data processing engine. This project borrows some good designs (e.g. the credit-based backpressure) and building blocks (e.g. rpc and high availability) from Flink. WebOct 21, 2024 · I have a flink job running on each. The job uses a broadcast state as well. This broadcast state is created by reading 5 S3 files every 10mins, do some processing, and create map of int to list of strings which is broadcasted. high availability in gcp
flink broadcast stream and broadcast state - Stack Overflow
WebTable & SQL Connectors # Flink’s Table API & SQL programs can be connected to other external systems for reading and writing both batch and streaming tables. A table source provides access to data which is stored in external systems (such as a database, key-value store, message queue, or file system). A table sink emits a table to an external storage … WebFlink SQL natively supports CDC, so now you can easily synchronize database data, whether it is directly connected to the database or connected to common CDC tools. ... The creation of the live broadcast room and the interactive data of the live broadcast are basically generated at the same time, so the interactive data may arrive at Kafka ... WebDec 18, 2024 · 1. MapState is the kind of state (and the only kind of state) that Flink supports for broadcasting. And since broadcast state is always MapState, a … high availability in postgresql