flink-examples

🚁🚀基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

Flink Tutorial Project

Examples for using Apache Flink® with DataStream API, Table API, Flink SQL and connectors such as MySQL, JDBC, CDC, Kafka.

Collection of code examples for Amazon Managed Service for Apache Flink

Examples of Flink on Azure

Flink Demo

Springboot、SpringCloud、Nacos、JdbcTemplate、restTempalte、flink、kafka、mail、Oauth2、quartz、webSocket、shardingSphere、seata 、Jxls、Redisson、SpEL、Kettle、Skywalking、flyway、testng、websocket、netty企业多租户等学习代码示例

A Flink applcation that demonstrates reading and writing to/from Apache Kafka with Apache Flink

Demo Flink and Kafka project to show how to react on tracking events in real-time and trigger offer for customer engagement based on campaign configurations. The project also utilizes the Broadcast State Pattern in order to update the rules (campaigns) at runtime without restarting the project, using a dedicated, low-frequency, Kafka topic.

Apache Flink examples designed to be run by AWS Kinesis Data Analytics (KDA).

The Dynamic Rules Engine is a serverless application that enables real-time evaluation of rules against sensor data, leveraging AWS Kinesis Data Streams, Amazon Managed Service for Apache Flink, and AWS Lambda.

A Flink job that reads a Json file (either one-time or continous poll) as its source and dumps it to couchbase as a sink using the asynchronous Couchbase SDK.

Sample Apache Flink application that can be deployed to Amazon Managed Service for Apache Flink. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to an Amazon OpenSearch Service cluster for visualization with Dashboard.

第四代大数据计算引擎Flink - 从入门到实战

Use xgboost model to score data on Flink's datastream

Apache Flink CEP Simple examples

Template for an Apache Flink project.

Examples of Apache Flink® applications showcasing the DataStream API, Table API in Java and Python, and Flink SQL, featuring AWS, GitHub, Terraform, Streamlit, and Apache Iceberg.

This sample gets you started to run Flink SQL on AWS.

This repository accompanies the article "Build a data ingestion pipeline using Kafka, Flink, and CrateDB" and the "CrateDB Community Day #2".