flink sink到impala数据库代码示例
时间: 2023-04-08 21:05:00 浏览: 232
flink-clickhouse-sink:Flink水槽的Clickhouse
以下是一个使用 Flink 将数据 sink 到 Impala 数据库的代码示例:
```
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.io.jdbc.JDBCOutputFormat;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.types.Row;
import java.sql.Types;
public class FlinkImpalaSinkExample {
public static void main(String[] args) throws Exception {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
// 创建一个数据集
DataSet<Tuple2<String, Integer>> data = env.fromElements(
new Tuple2<>("A", 1),
new Tuple2<>("B", 2),
new Tuple2<>("C", 3)
);
// 将数据集转换为 Row 类型
DataSet<Row> rows = data.map(new MapFunction<Tuple2<String, Integer>, Row>() {
@Override
public Row map(Tuple2<String, Integer> value) throws Exception {
Row row = new Row(2);
row.setField(0, value.f0);
row.setField(1, value.f1);
return row;
}
});
// 定义 Impala 数据库连接参数
String driverName = "com.cloudera.impala.jdbc41.Driver";
String dbUrl = "jdbc:impala://localhost:21050/default;AuthMech=3;KrbRealm=EXAMPLE.COM;KrbHostFQDN=impala.example.com;KrbServiceName=impala";
String username = "username";
String password = "password";
// 定义输出格式
JDBCOutputFormat jdbcOutputFormat = JDBCOutputFormat.buildJDBCOutputFormat()
.setDrivername(driverName)
.setDBUrl(dbUrl)
.setUsername(username)
.setPassword(password)
.setQuery("INSERT INTO my_table (col1, col2) VALUES (?, ?)")
.setSqlTypes(new int[] {Types.VARCHAR, Types.INTEGER})
.finish();
// 将数据写入 Impala 数据库
rows.output(jdbcOutputFormat);
// 执行 Flink 任务
env.execute("Flink Impala Sink Example");
}
}
```
请注意,这只是一个示例代码,实际使用时需要根据自己的情况进行修改。
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