随机集群创建作业并执行

package com.huaweicloud.sdk.test;

import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.cdm.v1.region.cdmRegion;
import com.huaweicloud.sdk.cdm.v1.*;
import com.huaweicloud.sdk.cdm.v1.model.*;

import java.util.List;
import java.util.ArrayList;

public class CreateAndStartRandomClusterJobSolution {

    public static void main(String[] args) {
        // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
        // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
        String ak = System.getenv("CLOUD_SDK_AK");
        String sk = System.getenv("CLOUD_SDK_SK");
        String projectId = "{project_id}";

        ICredential auth = new BasicCredentials()
                .withProjectId(projectId)
                .withAk(ak)
                .withSk(sk);

        cdmClient client = cdmClient.newBuilder()
                .withCredential(auth)
                .withRegion(cdmRegion.valueOf("<YOUR REGION>"))
                .build();
        CreateAndStartRandomClusterJobRequest request = new CreateAndStartRandomClusterJobRequest();
        CdmRandomCreateAndStartJobJsonReq body = new CdmRandomCreateAndStartJobJsonReq();
        List<String> listbodyClusters = new ArrayList<>();
        listbodyClusters.add("b0791496-e111-4e75-b7ca-9277aeab9297");
        listbodyClusters.add("c2db1191-eb6c-464a-a0d3-b434e6c6df26");
        listbodyClusters.add("c2db1191-eb6c-464a-a0d3-b434e6c6df26");
        List<Input> listConfigsInputs = new ArrayList<>();
        listConfigsInputs.add(
            new Input()
                .withName("fromJobConfig.index")
                .withValue("52est")
        );
        listConfigsInputs.add(
            new Input()
                .withName("fromJobConfig.type")
                .withValue("est_array")
        );
        listConfigsInputs.add(
            new Input()
                .withName("fromJobConfig.columnList")
                .withValue("array_f1_int:long&array_f2_text:string&array_f3_object:nested")
        );
        listConfigsInputs.add(
            new Input()
                .withName("fromJobConfig.splitNestedField")
                .withValue("false")
        );
        List<Configs> listFromConfigValuesConfigs = new ArrayList<>();
        listFromConfigValuesConfigs.add(
            new Configs()
                .withInputs(listConfigsInputs)
                .withName("fromJobConfig")
        );
        ConfigValues fromconfigvaluesJobs = new ConfigValues();
        fromconfigvaluesJobs.withConfigs(listFromConfigValuesConfigs);
        List<Input> listConfigsInputs1 = new ArrayList<>();
        listConfigsInputs1.add(
            new Input()
                .withName("retryJobConfig.retryJobType")
                .withValue("NONE")
        );
        List<Input> listConfigsInputs2 = new ArrayList<>();
        listConfigsInputs2.add(
            new Input()
                .withName("schedulerConfig.isSchedulerJob")
                .withValue("false")
        );
        listConfigsInputs2.add(
            new Input()
                .withName("schedulerConfig.disposableType")
                .withValue("NONE")
        );
        List<Input> listConfigsInputs3 = new ArrayList<>();
        listConfigsInputs3.add(
            new Input()
                .withName("throttlingConfig.numExtractors")
                .withValue("1")
        );
        listConfigsInputs3.add(
            new Input()
                .withName("throttlingConfig.submitToCluster")
                .withValue("false")
        );
        listConfigsInputs3.add(
            new Input()
                .withName("throttlingConfig.numLoaders")
                .withValue("1")
        );
        listConfigsInputs3.add(
            new Input()
                .withName("throttlingConfig.recordDirtyData")
                .withValue("false")
        );
        List<Configs> listDriverConfigValuesConfigs = new ArrayList<>();
        listDriverConfigValuesConfigs.add(
            new Configs()
                .withInputs(listConfigsInputs1)
                .withName("retryJobConfig")
        );
        ConfigValues driverconfigvaluesJobs = new ConfigValues();
        driverconfigvaluesJobs.withConfigs(listDriverConfigValuesConfigs);
        List<Input> listConfigsInputs4 = new ArrayList<>();
        listConfigsInputs4.add(
            new Input()
                .withName("toJobConfig.streamName")
                .withValue("dis-lkGm")
        );
        listConfigsInputs4.add(
            new Input()
                .withName("toJobConfig.separator")
                .withValue("|")
        );
        listConfigsInputs4.add(
            new Input()
                .withName("toJobConfig.columnList")
                .withValue("1&2&3")
        );
        List<Configs> listToConfigValuesConfigs = new ArrayList<>();
        listToConfigValuesConfigs.add(
            new Configs()
                .withInputs(listConfigsInputs4)
                .withName("toJobConfig")
        );
        ConfigValues toconfigvaluesJobs = new ConfigValues();
        toconfigvaluesJobs.withConfigs(listToConfigValuesConfigs);
        List<Job> listbodyJobs = new ArrayList<>();
        listbodyJobs.add(
            new Job()
                .withJobType(Job.JobTypeEnum.fromValue("NORMAL_JOB"))
                .withFromConnectorName("elasticsearch-connector")
                .withToConfigValues(toconfigvaluesJobs)
                .withToLinkName("dis")
                .withDriverConfigValues(driverconfigvaluesJobs)
                .withFromConfigValues(fromconfigvaluesJobs)
                .withToConnectorName("dis-connector")
                .withName("es_css")
                .withFromLinkName("css")
        );
        body.withClusters(listbodyClusters);
        body.withJobs(listbodyJobs);
        request.withBody(body);
        try {
            CreateAndStartRandomClusterJobResponse response = client.createAndStartRandomClusterJob(request);
            System.out.println(response.toString());
        } catch (ConnectionException e) {
            e.printStackTrace();
        } catch (RequestTimeoutException e) {
            e.printStackTrace();
        } catch (ServiceResponseException e) {
            e.printStackTrace();
            System.out.println(e.getHttpStatusCode());
            System.out.println(e.getRequestId());
            System.out.println(e.getErrorCode());
            System.out.println(e.getErrorMsg());
        }
    }
}

# coding: utf-8

from huaweicloudsdkcore.auth.credentials import BasicCredentials
from huaweicloudsdkcdm.v1.region.cdm_region import cdmRegion
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkcdm.v1 import *

if __name__ == "__main__":
    # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak = __import__('os').getenv("CLOUD_SDK_AK")
    sk = __import__('os').getenv("CLOUD_SDK_SK")
    projectId = "{project_id}"

    credentials = BasicCredentials(ak, sk, projectId) \

    client = cdmClient.new_builder() \
        .with_credentials(credentials) \
        .with_region(cdmRegion.value_of("<YOUR REGION>")) \
        .build()

    try:
        request = CreateAndStartRandomClusterJobRequest()
        listClustersbody = [
            "b0791496-e111-4e75-b7ca-9277aeab9297",
            "c2db1191-eb6c-464a-a0d3-b434e6c6df26",
            "c2db1191-eb6c-464a-a0d3-b434e6c6df26"
        ]
        listInputsConfigs = [
            Input(
                name="fromJobConfig.index",
                value="52est"
            ),
            Input(
                name="fromJobConfig.type",
                value="est_array"
            ),
            Input(
                name="fromJobConfig.columnList",
                value="array_f1_int:long&array_f2_text:string&array_f3_object:nested"
            ),
            Input(
                name="fromJobConfig.splitNestedField",
                value="false"
            )
        ]
        listConfigsFromconfigvalues = [
            Configs(
                inputs=listInputsConfigs,
                name="fromJobConfig"
            )
        ]
        fromconfigvaluesJobs = ConfigValues(
            configs=listConfigsFromconfigvalues
        )
        listInputsConfigs1 = [
            Input(
                name="retryJobConfig.retryJobType",
                value="NONE"
            )
        ]
        listInputsConfigs2 = [
            Input(
                name="schedulerConfig.isSchedulerJob",
                value="false"
            ),
            Input(
                name="schedulerConfig.disposableType",
                value="NONE"
            )
        ]
        listInputsConfigs3 = [
            Input(
                name="throttlingConfig.numExtractors",
                value="1"
            ),
            Input(
                name="throttlingConfig.submitToCluster",
                value="false"
            ),
            Input(
                name="throttlingConfig.numLoaders",
                value="1"
            ),
            Input(
                name="throttlingConfig.recordDirtyData",
                value="false"
            )
        ]
        listConfigsDriverconfigvalues = [
            Configs(
                inputs=listInputsConfigs1,
                name="retryJobConfig"
            )
        ]
        driverconfigvaluesJobs = ConfigValues(
            configs=listConfigsDriverconfigvalues
        )
        listInputsConfigs4 = [
            Input(
                name="toJobConfig.streamName",
                value="dis-lkGm"
            ),
            Input(
                name="toJobConfig.separator",
                value="|"
            ),
            Input(
                name="toJobConfig.columnList",
                value="1&2&3"
            )
        ]
        listConfigsToconfigvalues = [
            Configs(
                inputs=listInputsConfigs4,
                name="toJobConfig"
            )
        ]
        toconfigvaluesJobs = ConfigValues(
            configs=listConfigsToconfigvalues
        )
        listJobsbody = [
            Job(
                job_type="NORMAL_JOB",
                from_connector_name="elasticsearch-connector",
                to_config_values=toconfigvaluesJobs,
                to_link_name="dis",
                driver_config_values=driverconfigvaluesJobs,
                from_config_values=fromconfigvaluesJobs,
                to_connector_name="dis-connector",
                name="es_css",
                from_link_name="css"
            )
        ]
        request.body = CdmRandomCreateAndStartJobJsonReq(
            clusters=listClustersbody,
            jobs=listJobsbody
        )
        response = client.create_and_start_random_cluster_job(request)
        print(response)
    except exceptions.ClientRequestException as e:
        print(e.status_code)
        print(e.request_id)
        print(e.error_code)
        print(e.error_msg)

package main

import (
	"fmt"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic"
    cdm "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/cdm/v1"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/services/cdm/v1/model"
    region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/cdm/v1/region"
)

func main() {
    // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak := os.Getenv("CLOUD_SDK_AK")
    sk := os.Getenv("CLOUD_SDK_SK")
    projectId := "{project_id}"

    auth := basic.NewCredentialsBuilder().
        WithAk(ak).
        WithSk(sk).
        WithProjectId(projectId).
        Build()

    client := cdm.NewcdmClient(
        cdm.cdmClientBuilder().
            WithRegion(region.ValueOf("<YOUR REGION>")).
            WithCredential(auth).
            Build())

    request := &model.CreateAndStartRandomClusterJobRequest{}
	var listClustersbody = []string{
        "b0791496-e111-4e75-b7ca-9277aeab9297",
	    "c2db1191-eb6c-464a-a0d3-b434e6c6df26",
	    "c2db1191-eb6c-464a-a0d3-b434e6c6df26",
    }
	var listInputsConfigs = []model.Input{
        {
            Name: "fromJobConfig.index",
            Value: "52est",
        },
        {
            Name: "fromJobConfig.type",
            Value: "est_array",
        },
        {
            Name: "fromJobConfig.columnList",
            Value: "array_f1_int:long&array_f2_text:string&array_f3_object:nested",
        },
        {
            Name: "fromJobConfig.splitNestedField",
            Value: "false",
        },
    }
	var listConfigsFromConfigValues = []model.Configs{
        {
            Inputs: listInputsConfigs,
            Name: "fromJobConfig",
        },
    }
	fromconfigvaluesJobs := &model.ConfigValues{
		Configs: listConfigsFromConfigValues,
	}
	var listInputsConfigs1 = []model.Input{
        {
            Name: "retryJobConfig.retryJobType",
            Value: "NONE",
        },
    }
	var listInputsConfigs2 = []model.Input{
        {
            Name: "schedulerConfig.isSchedulerJob",
            Value: "false",
        },
        {
            Name: "schedulerConfig.disposableType",
            Value: "NONE",
        },
    }
	var listInputsConfigs3 = []model.Input{
        {
            Name: "throttlingConfig.numExtractors",
            Value: "1",
        },
        {
            Name: "throttlingConfig.submitToCluster",
            Value: "false",
        },
        {
            Name: "throttlingConfig.numLoaders",
            Value: "1",
        },
        {
            Name: "throttlingConfig.recordDirtyData",
            Value: "false",
        },
    }
	var listConfigsDriverConfigValues = []model.Configs{
        {
            Inputs: listInputsConfigs1,
            Name: "retryJobConfig",
        },
    }
	driverconfigvaluesJobs := &model.ConfigValues{
		Configs: listConfigsDriverConfigValues,
	}
	var listInputsConfigs4 = []model.Input{
        {
            Name: "toJobConfig.streamName",
            Value: "dis-lkGm",
        },
        {
            Name: "toJobConfig.separator",
            Value: "|",
        },
        {
            Name: "toJobConfig.columnList",
            Value: "1&2&3",
        },
    }
	var listConfigsToConfigValues = []model.Configs{
        {
            Inputs: listInputsConfigs4,
            Name: "toJobConfig",
        },
    }
	toconfigvaluesJobs := &model.ConfigValues{
		Configs: listConfigsToConfigValues,
	}
	var listJobsbody = []model.Job{
        {
            JobType: model.GetJobJobTypeEnum().NORMAL_JOB,
            FromConnectorName: "elasticsearch-connector",
            ToConfigValues: toconfigvaluesJobs,
            ToLinkName: "dis",
            DriverConfigValues: driverconfigvaluesJobs,
            FromConfigValues: fromconfigvaluesJobs,
            ToConnectorName: "dis-connector",
            Name: "es_css",
            FromLinkName: "css",
        },
    }
	request.Body = &model.CdmRandomCreateAndStartJobJsonReq{
		Clusters: listClustersbody,
		Jobs: listJobsbody,
	}
	response, err := client.CreateAndStartRandomClusterJob(request)
	if err == nil {
        fmt.Printf("%+v\n", response)
    } else {
        fmt.Println(err)
    }
}