flink 复postgresql数据库数据
要使用Apache Flink复制PostgreSQL数据库的数据,你可以使用Flink的CDC(Change Data Capture)功能来监听数据库的变更,并将这些变更实时同步到Flink程序中。以下是一个简单的例子,展示如何使用Flink的Debezium
连接器来复制PostgreSQL的数据。
首先,确保你的PostgreSQL支持逻辑复制,并且Flink的Debezium连接器已经包含在你的Flink工程中。
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-debezium</artifactId>
<version>${flink.version}</version>
</dependency>
然后,你可以使用以下代码片段来创建Flink程序,该程序监听PostgreSQL的变更并输出到控制台:
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.api.DataTypes;
public class FlinkCDCExample {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);
String dbeventsTableDDL = "" +
"CREATE TABLE dbevents (" +
" id INT," +
" data ROW<id INT, name STRING>," +
" op STRING," +
" ts TIMESTAMP(3)," +
" source ROW<version STRING, connector STRING, name STRING, ts MS TIMESTAMP>" +
") WITH (" +
" 'connector' = 'debezium'," +
" 'format' = 'json'," +
" 'debezium.io.bootstrappoint.offset' = 'earliest'," +
" 'debezium.io.bootstrappoint.topic' = 'your_bootstrappoint_topic'," +
" 'database.name' = 'your_db_name'," +
" 'database.hostname' = 'your_db_host'," +
" 'database.port' = 'your_db_port'," +
" 'table.name' = 'your_table_name'" +
")";
tableEnv.executeSql(dbeventsTableDDL);
// 监听变更并输出
tableEnv.executeSql("INSERT INTO console SELECT id, data.name FROM dbevents WHERE op = 'c'").execute();
env.execute("Flink CDC Example");
}
}
在这个例子中,我们创建了一个名为dbevents
的表,该表连接到Debezium CDC源。然后我们执行了一个SQL查询,它从dbevents
表中选择所有插入(操作为'c')的行,并将这些行的id
和data.name
字段插入到控制台。
确保替换dbeventsTableDDL
中的连接参数,以反映你的PostgreSQL数据库的实际配置。
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