如何查看Flink-SQL应用程序中我的任务到KeyGroup到Key的分配情况？

要查看Flink-SQL应用程序中任务到KeyGroup到Key的分配情况，可以使用Flink的REST API来获取有关任务管理器的详细信息。

以下是一种解决方法的代码示例：

import org.apache.flink.api.common.JobID;
import org.apache.flink.api.common.JobStatus;
import org.apache.flink.client.program.ClusterClient;
import org.apache.flink.client.program.rest.RestClusterClient;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.runtime.jobgraph.JobGraph;
import org.apache.flink.runtime.jobgraph.JobStatusMessage;
import org.apache.flink.runtime.jobmaster.JobResult;
import org.apache.flink.runtime.messages.Acknowledge;
import org.apache.flink.runtime.rest.RestClient;
import org.apache.flink.runtime.rest.messages.EmptyRequestBody;
import org.apache.flink.runtime.rest.messages.job.JobDetailsInfo;
import org.apache.flink.runtime.rest.messages.job.JobExecutionInfo;
import org.apache.flink.runtime.rest.messages.job.JobExceptionsInfo;
import org.apache.flink.runtime.rest.messages.job.JobPlanInfo;
import org.apache.flink.runtime.util.ExecutorThreadFactory;
import org.apache.flink.util.ExceptionUtils;

import java.util.Collection;
import java.util.Collections;
import java.util.Optional;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.Executor;
import java.util.concurrent.Executors;

public class FlinkJobManager {

    private static final String REST_ADDRESS = "http://localhost:8081"; // Flink Web UI地址

    public static void main(String[] args) throws Exception {
        Configuration configuration = new Configuration();
        RestClient restClient = new RestClient(REST_ADDRESS, configuration);

        Executor executor = Executors.newFixedThreadPool(4, new ExecutorThreadFactory("custom-executor"));
        ClusterClient<String> clusterClient = new RestClusterClient<>(restClient, configuration, executor);

        // 获取作业ID
        final JobID jobId = clusterClient.getJobStatus(new JobID()).get().getSerializedJobId();

        // 获取作业详情信息
        final CompletableFuture<JobDetailsInfo> jobDetailsInfoFuture = clusterClient.getJobDetails(jobId);

        jobDetailsInfoFuture.thenAcceptAsync(jobDetailsInfo -> {
            System.out.println("Job ID: " + jobDetailsInfo.getJobId());
            System.out.println("Job Name: " + jobDetailsInfo.getJobName());

            try {
                // 获取作业执行计划信息
                Optional<JobPlanInfo> jobPlanInfo = clusterClient.getJobPlan(jobId).get();
                System.out.println("Job Execution Plan: " + jobPlanInfo.orElse(null));

                // 获取作业执行信息
                Optional<JobExecutionInfo> jobExecutionInfo = clusterClient.getJobExecutionResult(jobId).get();
                System.out.println("Job Execution Info: " + jobExecutionInfo.orElse(null));

                // 获取作业异常信息
                Optional<JobExceptionsInfo> jobExceptionsInfo = clusterClient.getJobExceptions(jobId).get();
                System.out.println("Job Exceptions Info: " + jobExceptionsInfo.orElse(null));
            } catch (Exception e) {
                System.out.println("Failed to retrieve job details: " + ExceptionUtils.stringifyException(e));
            }

        }, executor);

        clusterClient.close();
        restClient.close();
    }
}

请确保将REST_ADDRESS替换为您Flink Web UI的地址。然后运行上述代码，您将能够获取有关Flink-SQL应用程序中任务到KeyGroup到Key的分配情况的详细信息。