FLinkSQL写法kafka关联MySQL写入MySQL(proctime)


-- 创建CATALOG
CREATE CATALOG `FLINK_CATALOG` WITH('type' = 'generic_in_memory');
-- 创建DATABASE
CREATE DATABASE IF NOT EXISTS `FLINK_CATALOG`.`FLINK_DATABASE`;
--   引用数据表   [源表]
--   NodeName:[kafka]
--   NodeType:[Kafka]
--   type:Kafka
--   datasourceName:kafka70
--   tableName:`cs`
CREATE TABLE IF NOT EXISTS `FLINK_CATALOG`.`FLINK_DATABASE`.`cs` (
`id`  INT,
proctime AS PROCTIME()
)
with(
'properties.bootstrap.servers'='xx:9092',
'connector'='kafka',
'datasource.type'='Kafka',
'format'='json',
'topic'='cs',
'properties.group.id'='fxxx0',
'scan.startup.mode'='latest-offset',
);

--   引用数据表   [维表]
--   NodeName:[mysql]
--   NodeType:[JDBC]
--   type:MySQL
--   datasourceName:MySQL
--   DbName:TEST
--   tableName:`student`
CREATE TABLE IF NOT EXIST
好的,您可以按照以下步骤操作: 1. 在 Flink 中添加 KafkaMySQL 的依赖: ```xml <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-kafka_${scala.binary.version}</artifactId> <version>${flink.version}</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-jdbc_${scala.binary.version}</artifactId> <version>${flink.version}</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>8.0.23</version> </dependency> ``` 2. 创建 Flink SQL 的执行环境: ```java StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings settings = EnvironmentSettings.newInstance() .useBlinkPlanner() .inStreamingMode() .build(); StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env, settings); ``` 3. 注册 Kafka 数据源和 MySQL 数据汇: ```java tableEnv.executeSql("CREATE TABLE kafka_source (\n" + " id INT,\n" + " name STRING,\n" + " age INT,\n" + " PRIMARY KEY (id) NOT ENFORCED\n" + ") WITH (\n" + " 'connector' = 'kafka',\n" + " 'topic' = 'test',\n" + " 'properties.bootstrap.servers' = 'localhost:9092',\n" + " 'properties.group.id' = 'testGroup',\n" + " 'format' = 'json',\n" + " 'scan.startup.mode' = 'earliest-offset'\n" + ")"); tableEnv.executeSql("CREATE TABLE mysql_sink (\n" + " id INT,\n" + " name STRING,\n" + " age INT,\n" + " PRIMARY KEY (id)\n" + ") WITH (\n" + " 'connector' = 'jdbc',\n" + " 'url' = 'jdbc:mysql://localhost:3306/test',\n" + " 'table-name' = 'user',\n" + " 'driver' = 'com.mysql.cj.jdbc.Driver',\n" + " 'username' = 'root',\n" + " 'password' = 'root'\n" + ")"); ``` 4. 使用 Flink SQL 读取 Kafka 数据源并将数据写入 MySQL 数据汇: ```java tableEnv.executeSql("INSERT INTO mysql_sink SELECT * FROM kafka_source"); env.execute(); ``` 这样就可以使用 Flink SQLKafka 中读取数据,并将数据写入 MySQL 数据库中了。
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