在Spark中,可以通过以下方式在实例化SparkSession之前获取Yarn应用ID:
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.yarn.api.records.ApplicationId;
import org.apache.hadoop.yarn.client.api.YarnClient;
import org.apache.hadoop.yarn.exceptions.YarnException;
import java.io.IOException;
public class YarnAppIdExample {
public static void main(String[] args) throws IOException, YarnException {
Configuration conf = new Configuration();
YarnClient yarnClient = YarnClient.createYarnClient();
yarnClient.init(conf);
yarnClient.start();
ApplicationId appId = yarnClient.createApplication().getApplicationSubmissionContext().getApplicationId();
System.out.println("Yarn应用ID:" + appId);
yarnClient.stop();
}
}
推荐的腾讯云相关产品:腾讯云容器服务(TKE),产品介绍链接地址:https://cloud.tencent.com/product/tke
import org.apache.spark.SparkConf;
public class SparkAppIdExample {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("SparkApp")
.set("spark.app.id", "your_application_id");
// 实例化SparkSession
// ...
}
}
推荐的腾讯云相关产品:腾讯云弹性MapReduce(EMR),产品介绍链接地址:https://cloud.tencent.com/product/emr
请注意,以上代码示例仅为演示目的,实际使用时需要根据具体环境和需求进行适当调整。