我对com.google.api.services有一些问题。我正在使用这个版本“BigQueryAPI v2（修订版459）”：
https://www.javadoc.io/doc/com.google.apis/google-api-services-bigquery/v2-rev459-1.25.0/com/google/api/services/bigquery/model/jobconfigurationquery.html
实际上，方法“getconnectionproperties（）”并不存在。。。这是完全错误：
线程“main”java.lang.nosuchmethoderror中出现异常：com.google.api.services.bigquery.model.jobconfigurationquery.getconnectionproperties（）ljava/util/list；在com.google.cloud.bigquery.queryjobconfiguration$builder。java:250)在com.google.cloud.bigquery.queryjobconfiguration$builder。java:95)在com.google.cloud.bigquery.queryjobconfiguration.frompb（queryjobconfiguration。java:1060)在com.google.cloud.bigquery.jobconfiguration.frompb（作业配置。java:128)在com.google.cloud.bigquery.jobinfo$builderimpl。java:158)在com.google.cloud.bigquery.job.frompb（job。java:497)在com.google.cloud.bigquery.bigqueryimpl.create（bigqueryimpl。java:363)在com.google.cloud.bigquery.bigqueryimpl.create（bigqueryimpl。java:340)在bce\u datahub.bigquery\u template\u 0\u 1.bigquery\u template.tjava\u 1process（bigquery\u template）。java:383)在bce\u datahub.bigquery\u template\u 0\u 1.bigquery\u template.runjobintos（bigquery\u template）。java:757)在bce\u datahub.bigquery\u template\u 0\u 1.bigquery\u template.main（bigquery\u template。java:583)
我看到这个版本：
https://www.javadoc.io/doc/com.google.apis/google-api-services-bigquery/latest/com/google/api/services/bigquery/model/jobconfigurationquery.html
包含此方法，但如果将其替换为此版本，则会出现另一个错误：
noclassdeffounderror:com/google/api/services/bigquery/bigquery$builder
所以这个版本似乎没有这个类。
我正在开发一个java程序来：
对bigquery执行查询
在google云存储上导出bigquery表。
对于第二步，我没有问题。这些是我正在使用的jara：

我正在使用talend studio，所以我必须一个接一个地安装jar。这是生成问题的脚本的一部分：

import java.io.File;
import java.io.FileInputStream;

import com.google.cloud.RetryOption;
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.QueryJobConfiguration;
import com.google.cloud.bigquery.Job;
import com.google.cloud.bigquery.JobInfo;
import com.google.cloud.bigquery.Table;
import com.google.cloud.bigquery.TableId;
import com.google.auth.oauth2.GoogleCredentials;
import com.google.auth.oauth2.ServiceAccountCredentials;
import com.google.auth.oauth2.AccessToken;

import org.threeten.bp.Duration;

//INPUT
String credentialsPath = "...";
String projectId = "...";
String datasetName = "...";
String tableName = "...";                                                           
String bucketName = "...";                                                  
String objectName = "...";                                          
String destinationUri = "...";
String dataFormat = "...";
String destFilePath = "...";
String ddl =

    "DROP TABLE IF EXISTS `" + datasetName + "." + tableName + "`;"
    + "CREATE TABLE `" + datasetName + "." + tableName + "` AS "
    + "SELECT * FROM ...";

//Authentification
File credentialsFilePath = new File(credentialsPath);
FileInputStream serviceAccountStream = new FileInputStream(credentialsFilePath);
GoogleCredentials credentials;
credentials = ServiceAccountCredentials.fromStream(serviceAccountStream);

// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests
BigQuery bigquery = BigQueryOptions.newBuilder()
                .setProjectId(projectId)
                .setCredentials(credentials).build()
                .getService();

// Execute query on BigQuery
QueryJobConfiguration config = QueryJobConfiguration.newBuilder(ddl).build();
Job job = bigquery.create(JobInfo.of(config));

Job completedJob =
    job.waitFor(
        RetryOption.initialRetryDelay(Duration.ofSeconds(1)),   //Checking period time [Optional]
        RetryOption.totalTimeout(Duration.ofMinutes(3))         //Timeout [Optional]
    );

if (completedJob == null)
{
    System.out.println("Job not executed since it no longer exists.");
    return;
} else if (completedJob.getStatus().getError() != null)
{
    System.out.println("BigQuery was unable to execute the query due to an error: \n" + job.getStatus().getError());
    return;
}

System.out.println("Table create successful. Check in "  + datasetName + " for the " + tableName + " table.");

...