flinkcdc代码
时间: 2023-10-04 08:09:30 浏览: 42
Flink CDC是Flink的一个组件,用于从MySQL、PostgreSQL等数据库中读取全量数据和增量变更数据的source。使用Flink CDC可以在Flink作业中实时捕获和处理数据库的变更数据。在Flink CDC中,核心设计包含切片划分、切分读取和增量读取。通过切片划分,Flink CDC将数据库表按照一个或多个切片拆分成多个子任务,每个子任务负责读取指定的切片数据。切分读取阶段将切片数据从数据库读取到Flink的内部缓存中。增量读取阶段则会持续地从数据库中读取增量变更数据,并将其发送到Flink的流处理任务中进行处理。
以下是Flink CDC代码的示例:
1. 使用DataStream方式:
```java
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
Properties properties = new Properties();
properties.setProperty("database.url", "jdbc:mysql://localhost:3306/test");
properties.setProperty("database.username", "root");
properties.setProperty("database.password", "password");
DataStream<Row> stream = env.addSource(new MySQLSourceFunction(properties));
stream.print();
env.execute("Flink CDC Example");
```
2. 使用Flink SQL方式:
```java
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
Properties properties = new Properties();
properties.setProperty("database.url", "jdbc:mysql://localhost:3306/test");
properties.setProperty("database.username", "root");
properties.setProperty("database.password", "password");
tEnv.executeSql("CREATE TABLE myTable (" +
" id INT," +
" name STRING" +
") WITH (" +
" 'connector' = 'mysql-cdc'," +
" 'database.hostname' = 'localhost'," +
" 'database.port' = '3306'," +
" 'database.username' = 'root'," +
" 'database.password' = 'password'," +
" 'database.server.id' = '1'," +
" 'database.server.name' = 'flink'," +
" 'database.whitelist' = 'test'," +
" 'table.whitelist' = 'myTable'" +
")");
tEnv.executeSql("SELECT * FROM myTable").print();
env.execute("Flink CDC Example");
```