我在尝试使用spark bigquery连接器写入bigquery时遇到此错误。应用程序是从hadoop集群（不是dataproc）运行的。
java.io.ioexception:从元数据服务器获取访问令牌时出错，位置为：http://169.254.169.254/computemetadata/v1/instance/service-accounts/default/token 在com.google.cloud.hadoop.repacked.gcs.com.google.cloud.hadoop.util.credentialfactory.getcredentialfrommetadataserviceaccount（credentialfactory。java:236)在com.google.cloud.hadoop.repacked.gcs.com.google.cloud.hadoop.util.credentialconfiguration.getcredential（credentialconfiguration）。java:91)在com.google.cloud.hadoop.fs.gcs.googlehadoopfilesystembase.getcredential（googlehadoopfilesystembase。java:1533)在com.google.cloud.hadoop.fs.gcs.googlehadoopfilesystembase.configure（googlehadoopfilesystembase。java:1554)在com.google.cloud.hadoop.fs.gcs.googlehadoopfilesystembase.initialize（googlehadoopfilesystembase。java:654)在com.google.cloud.hadoop.fs.gcs.googlehadoopfilesystembase.initialize（googlehadoopfilesystembase。java:617)在org.apache.hadoop.fs.filesystem.createfilesystem（文件系统）。java:3303)在org.apache.hadoop.fs.filesystem.access$200（文件系统）。java:124)在org.apache.hadoop.fs.filesystem$cache.getinternal（filesystem。java:3352)在org.apache.hadoop.fs.filesystem$cache.get（filesystem。java:3320)在org.apache.hadoop.fs.filesystem.get（filesystem。java:479)在org.apache.hadoop.fs.path.getfilesystem（路径。java:361)在com.google.cloud.spark.bigquery.bigquerywritehelper.（bigquerywritehelper。scala:62)在com.google.cloud.spark.bigquery.bigqueryinsertablerelation.insert（bigqueryinsertablerelation。scala:42)在com.google.cloud.spark.bigquery.bigqueryrelationprovider.createrelation（bigqueryrelationprovider。scala:112)在org.apache.spark.sql.execution.datasources.saveintodatasourcecommand.run（saveintodatasourcecommand。scala:45)位于org.apache.spark.sql.execution.command.executedcommandexec.sideeffectresult$lzycompute（命令）。scala:70)在org.apache.spark.sql.execution.command.executedcommandexec.sideeffectresult（命令。scala:68)在org.apache.spark.sql.execution.command.executecommandexec.doexecute（commands。scala:86)在org.apache.spark.sql.execution.sparkplan$$anonfun$execute$1.apply（sparkplan。scala:131)在org.apache.spark.sql.execution.sparkplan$$anonfun$执行$1.apply（sparkplan。scala:127)在org.apache.spark.sql.execution.sparkplan$$anonfun$executequery$1.apply（sparkplan。scala:155)在org.apache.spark.rdd.rddoperationscope$.withscope（rddoperationscope。scala:151)在org.apache.spark.sql.execution.sparkplan.executequery（sparkplan。scala:152)在org.apache.spark.sql.execution.sparkplan.execute（sparkplan。scala:127)在org.apache.spark.sql.execution.queryexecution.tordd$lzycompute（queryexecution。scala:80)在org.apache.spark.sql.execution.queryexecution.tordd（queryexecution。scala:80)在org.apache.spark.sql.dataframewriter$$anonfun$runcommand$1.apply（dataframewriter。scala:664)在org.apache.spark.sql.dataframewriter$$anonfun$runcommand$1.apply（dataframewriter。scala:664)位于org.apache.spark.sql.execution.sqlexecution$.withnewexecutionid（sqlexecution）。scala:77)位于org.apache.spark.sql.dataframewriter.runcommand（dataframewriter。scala:664)位于org.apache.spark.sql.dataframewriter.savetov1source（dataframewriter。scala:273)在org.apache.spark.sql.dataframewriter.save（dataframewriter。scala:267)位于org.apache.spark.sql.dataframewriter.save（dataframewriter。scala:225)
这是密码，

dataset.write().format("bigquery")
            .option("temporaryGcsBucket", tempGcsBucket)
            //.option("table", databaseName + "." + tableName)
            .option("project", projectId)
            .option("parentProject", parentProjectId)
            .option("credentials", credentials)
            .mode(saveMode).save(projectId + "." + databaseName + "." + tableName);

我能够使用相同的凭据（服务帐户base64编码）从尝试写入的同一个表中读取数据。我使用的是spark-bigquery-with-dependencies\ u2.11-0.19.1.jar版本的connector。
在项目和父项目相同的低层环境中，相同的代码工作得很好。但在prod中，它们是不同的。