腾讯云批量计算使用指南

您可通过以下视频了解并开始使用批量计算 SDK：

开发准备

选择不同语言的 SDK，下载和安装 。首次使用批量计算，参见 开始前的准备。了解更多接口参数，参见 API 文档。

接入步骤

腾讯云提供了一个代码 在线生成工具，以交互式的体验，提供不同语言 SDK 代码示例。1. 产品选择“批量计算”，找到对应的接口。2. 根据帮助提示，填写“个人密钥”和“输入参数”。3. （可选）勾选“只看必选参数”。4. 在右侧“代码生成”栏中，复制不同语言的代码到本地执行。5. 在生产使用前，在“在线调用”栏中发起真实请求，验证结果是否符合预期。

代码示例

提交作业（Python 版本）

from tencentcloud.common import credentialfrom tencentcloud.common.profile.client_profile import ClientProfilefrom tencentcloud.common.profile.http_profile import HttpProfilefrom tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException from tencentcloud.batch.v20170312 import batch_client, models try:     cred = credential.Credential("your secret id", "your secret key")     httpProfile = HttpProfile()    httpProfile.endpoint = "batch.tencentcloudapi.com"
    clientProfile = ClientProfile()    clientProfile.httpProfile = httpProfile    client = batch_client.BatchClient(cred, "ap-guangzhou", clientProfile) 
    req = models.SubmitJobRequest()    params = '{"Placement":{"Zone":"ap-guangzhou-3"},"Job":{"JobName":"demo","JobDescription":"test job","Priority":1,"Tasks":[{"TaskName":"task","TaskInstanceNum":1,"Application":{"Command":"echo hello"},"ComputeEnv":{"EnvData":{"InstanceType":"S2.SMALL1","ImageId":"img-enf3kukl","SystemDisk":{"DiskType":"CLOUD_PREMIUM","DiskSize":50}}},"MaxRetryCount":1,"Timeout":3600}]}}'    req.from_json_string(params)
    resp = client.SubmitJob(req)     print(resp.to_json_string()) 
except TencentCloudSDKException as err:     print(err) 

查询作业（Python 版本）

from tencentcloud.common import credentialfrom tencentcloud.common.profile.client_profile import ClientProfilefrom tencentcloud.common.profile.http_profile import HttpProfilefrom tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException from tencentcloud.batch.v20170312 import batch_client, models try:     cred = credential.Credential("your secret id", "your secret key")     httpProfile = HttpProfile()    httpProfile.endpoint = "batch.tencentcloudapi.com"
    clientProfile = ClientProfile()    clientProfile.httpProfile = httpProfile    client = batch_client.BatchClient(cred, "ap-guangzhou", clientProfile) 
    req = models.DescribeJobRequest()    params = '{"JobId":"job-mhgy1dot"}'    req.from_json_string(params)
    resp = client.DescribeJob(req)     print(resp.to_json_string()) 
except TencentCloudSDKException as err:     print(err) 

提交作业（Java 版本）

import com.tencentcloudapi.common.Credential;import com.tencentcloudapi.common.profile.ClientProfile;import com.tencentcloudapi.common.profile.HttpProfile;import com.tencentcloudapi.common.exception.TencentCloudSDKException;
import com.tencentcloudapi.batch.v20170312.BatchClient;
import com.tencentcloudapi.batch.v20170312.models.SubmitJobRequest;import com.tencentcloudapi.batch.v20170312.models.SubmitJobResponse;
public class SubmitJob{    public static void main(String [] args) {        try{
            Credential cred = new Credential("your secret id", "your secret key");
            HttpProfile httpProfile = new HttpProfile();            httpProfile.setEndpoint("batch.tencentcloudapi.com");
            ClientProfile clientProfile = new ClientProfile();            clientProfile.setHttpProfile(httpProfile);            
            BatchClient client = new BatchClient(cred, "ap-guangzhou", clientProfile);
            String params = "{\"Placement\":{\"Zone\":\"ap-guangzhou-3\"},\"Job\":{\"JobName\":\"demo\",\"JobDescription\":\"test job\",\"Priority\":1,\"Tasks\":[{\"TaskName\":\"task\",\"TaskInstanceNum\":1,\"Application\":{\"Command\":\"echo hello\"},\"ComputeEnv\":{\"EnvData\":{\"InstanceType\":\"S2.SMALL1\",\"ImageId\":\"img-enf3kukl\",\"SystemDisk\":{\"DiskType\":\"CLOUD_PREMIUM\",\"DiskSize\":50}}},\"MaxRetryCount\":1,\"Timeout\":3600}]}}";            SubmitJobRequest req = SubmitJobRequest.fromJsonString(params, SubmitJobRequest.class);
            SubmitJobResponse resp = client.SubmitJob(req);
            System.out.println(SubmitJobRequest.toJsonString(resp));        } catch (TencentCloudSDKException e) {                System.out.println(e.toString());        }
    }
}

查询作业（Java 版本）

import com.tencentcloudapi.common.Credential;import com.tencentcloudapi.common.profile.ClientProfile;import com.tencentcloudapi.common.profile.HttpProfile;import com.tencentcloudapi.common.exception.TencentCloudSDKException;
import com.tencentcloudapi.batch.v20170312.BatchClient;
import com.tencentcloudapi.batch.v20170312.models.DescribeJobRequest;import com.tencentcloudapi.batch.v20170312.models.DescribeJobResponse;
public class DescribeJob{    public static void main(String [] args) {        try{
            Credential cred = new Credential("your secret id", "your secret key");
            HttpProfile httpProfile = new HttpProfile();            httpProfile.setEndpoint("batch.tencentcloudapi.com");
            ClientProfile clientProfile = new ClientProfile();            clientProfile.setHttpProfile(httpProfile);            
            BatchClient client = new BatchClient(cred, "ap-guangzhou", clientProfile);
            String params = "{\"JobId\":\"job-mhgy1dot\"}";            DescribeJobRequest req = DescribeJobRequest.fromJsonString(params, DescribeJobRequest.class);
            DescribeJobResponse resp = client.DescribeJob(req);
            System.out.println(DescribeJobRequest.toJsonString(resp));        } catch (TencentCloudSDKException e) {                System.out.println(e.toString());        }
    }
}



官网1折活动，限时活动，即将结束，速速收藏
同尘科技为腾讯云授权服务中心。
购买腾讯云产品享受折上折，更有现金返利。同意关联立享优惠