用flinkcdc实时采集sqlserver的代码例子
时间: 2023-07-25 18:38:36 浏览: 67
以下是使用 Flink CDC 实时采集 SQL Server 的代码示例:
1. 首先,您需要添加以下依赖项:
```xml
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-sqlserver_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-cdc-json-schema</artifactId>
<version>${flink.version}</version>
</dependency>
```
2. 接下来,您需要创建一个 FlinkCDCSourceFunction 实例并将其添加到您的 Flink 程序中。例如:
```java
import org.apache.flink.api.common.serialization.DeserializationSchema;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.cdc.CDCConfig;
import org.apache.flink.streaming.connectors.cdc.FlinkCDCSource;
import org.apache.flink.streaming.connectors.cdc.debezium.DebeziumDeserializationSchema;
import org.apache.flink.streaming.connectors.cdc.table.LookupTableConfig;
import org.apache.flink.streaming.connectors.cdc.table.RowDataDebeziumDeserializeSchema;
import org.apache.flink.types.Row;
import java.util.Properties;
public class SQLServerCDCExample {
private static final String SERVER_NAME = "localhost";
private static final String DATABASE_NAME = "testdb";
private static final String USERNAME = "username";
private static final String PASSWORD = "password";
private static final String TABLE_NAME = "table1";
private static final String[] PRIMARY_KEYS = {"id"};
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
Properties properties = new Properties();
properties.setProperty("database.server.name", SERVER_NAME);
properties.setProperty("database.dbname", DATABASE_NAME);
properties.setProperty("database.user", USERNAME);
properties.setProperty("database.password", PASSWORD);
CDCConfig cdcConfig = CDCConfig.builder()
.setProperties(properties)
.setTableList(TABLE_NAME)
.setDatabaseList(DATABASE_NAME)
.setPrimaryKeyFields(PRIMARY_KEYS)
.setStartupOptions(CDCConfig.StartupOptions.initial())
.build();
LookupTableConfig lookupTableConfig = LookupTableConfig.builder()
.setTableList(TABLE_NAME)
.setDatabaseList(DATABASE_NAME)
.setPrimaryKeyFields(PRIMARY_KEYS)
.build();
DeserializationSchema<Row> deserializationSchema = new RowDataDebeziumDeserializeSchema.Builder()
.setIgnoreParseErrors(false)
.build();
DebeziumDeserializationSchema<Row> debeziumDeserializationSchema = new DebeziumDeserializationSchema.Builder<Row>()
.setDeserializationSchema(deserializationSchema)
.build();
FlinkCDCSource<Row> flinkCDCSource = new FlinkCDCSource<>(cdcConfig, lookupTableConfig, debeziumDeserializationSchema);
DataStream<Row> stream = env.addSource(flinkCDCSource);
stream.print();
env.execute();
}
}
```
在此示例中,我们创建了一个 FlinkCDCSourceFunction 实例 flinkCDCSource,并将其添加到 Flink 程序中。我们通过设置 CDCConfig、LookupTableConfig 和 DebeziumDeserializationSchema 对象来配置 flinkCDCSource。然后,我们使用 addSource() 方法将该流添加到 Flink 程序中,并使用 print() 方法打印流的内容。
请注意,此示例仅用于演示如何使用 FlinkCDCSourceFunction 从 SQL Server 中实时采集数据。您需要根据自己的需求进行配置和修改。