将安装路径填到 flink-sql-submit 项目的env.sh中,如我的路径是 KAFKA_DIR=/Users/wuchong/dev/install/kafka_2.11-2.2.0 在flink-sql-submit目录下运行./start-kafka.sh启动 Kafka 集群。 在命令行执行jps,如果看到Kafka进程和QuorumPeerMain进程即表明启动
executeSql("CREATE TABLE WaterSensor (" + "id STRING," + "ts BIGINT," + "vc BIGINT," + // "`pt` TIMESTAMP(3),"+ // "WATERMARK FOR pt AS pt - INTERVAL '10' SECOND" + "pt as PROCTIME() " + ") WITH (" + "'connector' = 'kafka'," + "'topic' = 'kafka_data_water...
(1)首先需要启动zookeeper和kafka (2)定义一个kafka生产者 packagecom.producers;importcom.alibaba.fastjson.JSONObject;importcom.pojo.Event;importcom.pojo.WaterSensor;importorg.apache.kafka.clients.producer.KafkaProducer;importorg.apache.kafka.clients.producer.ProducerRecord;importorg.apache.kafka.clients.produc...
package com.producers; import com.alibaba.fastjson.JSONObject; import com.pojo.Event; import com.pojo.WaterSensor; import org.apache.kafka.clients.producer.KafkaProducer; import org.apache.kafka.clients.producer.ProducerRecord; import org.apache.kafka.clients.producer.RecordMetadata; import org.apache....
(4)从kafka接入数据,并写入到mysql public static void main(String[] args) throws Exception { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setParallelism(1); StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env); //读取kafka的数据 Properties prope...
在现代大数据处理中,通过 Apache Flink SQL 消费 Kafka 消息并将数据写入 MySQL 已成为一种常见需求。这样的数据处理链能够快速、实时地将数据流转化为可持久化和分析的数据。 引用块:在大数据处理领域,Flink 是一种高吞吐、高性能的流处理框架,其 SQL 支持让让流处理变得更加易于应用。
实时同步Kafka数据到MySQL的流程及代码示例 一、流程步骤 journey title 实时同步Kafka数据到MySQL section 整体流程 开始--> 创建Flink应用 --> 读取Kafka数据 --> 转换数据 --> 写入MySQL --> 结束 二、代码示例 1. 创建Flink应用 首先,在你的Flink项目中引入相关依赖,如下所示: ...
（4）从kafka接入数据，并写入到mysql ```java public static void main(String[] args) throws Exception { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setParallelism(1); StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env); //读取...
首先看看Source,也就是我们的Kafka,如下: CREATE TABLE t_student (id INT,name STRING) WITH ('connector' = 'kafka','topic' = 'cdc_user','properties.bootstrap.servers' = '10.194.166.92:9092','properties.group.id' = 'flink-cdc-mysql-kafka','scan.startup.mode' = 'earliest-offset','format...
(1)首先需要启动zookeeper和kafka (2)定义一个kafka生产者 ```java package com.producers; import com.alibaba.fastjson.JSONObject; import com.pojo.Event; import com.pojo.WaterSensor; import org.apache.kafka.clients.producer.KafkaProducer; import org.apache.kafka.clients.producer.ProducerRecord; ...