Hello, I'm facing some problems while writing data to Google BigQuery. I'm able to read data from the same table, but when I try to append data I get the following error.

Error getting access token from metadata server at: http://169.254.169.254/computeMetadata/v1/instance/service-accounts/default/token

df.write.format("bigquery").mode("append") \
 
 .option("credentialsFile", "credentialfile.json") \
 
 .option("temporaryGcsBucket", "gs://bucketname/")\
 
 .option("parentProject", "projectId") \
 
 .option("project", "project") \
 
 .option("table","tablename") \
 
 .save()

java.io.IOException: Error getting access token from metadata server at: http://169.254.169.254/computeMetadata/v1/instance/service-accounts/default/token
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.util.CredentialFactory.getCredentialFromMetadataServiceAccount(CredentialFactory.java:259)
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.util.CredentialFactory.getCredential(CredentialFactory.java:477)
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.getCredential(GoogleHadoopFileSystemBase.java:1601)
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.createGcsFs(GoogleHadoopFileSystemBase.java:1738)
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.configure(GoogleHadoopFileSystemBase.java:1711)
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.initialize(GoogleHadoopFileSystemBase.java:562)
	at shaded.databricks.V2_1_4.com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.initialize(GoogleHadoopFileSystemBase.java:515)
	at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669)
	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
	at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
	at com.google.cloud.spark.bigquery.BigQueryWriteHelper.<init>(BigQueryWriteHelper.scala:62)
	at com.google.cloud.spark.bigquery.BigQueryInsertableRelation.insert(BigQueryInsertableRelation.scala:41)
	at com.google.cloud.spark.bigquery.BigQueryRelationProvider.createRelation(BigQueryRelationProvider.scala:109)
	at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:48)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:73)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:71)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:94)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:196)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:240)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:236)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:192)
	at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:165)
	at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:164)
	at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:1079)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withCustomExecutionEnv$5(SQLExecution.scala:126)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:267)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withCustomExecutionEnv$1(SQLExecution.scala:104)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:852)
	at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:77)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:217)
	at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:1079)
	at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:468)
	at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:438)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:311)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380)
	at py4j.Gateway.invoke(Gateway.java:295)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.GatewayConnection.run(GatewayConnection.java:251)
	at java.lang.Thread.run(Thread.java:748)
Caused by: shaded.databricks.V2_1_4.com.google.api.client.http.HttpResponseException: 404 Not Found
GET http://169.254.169.254/computeMetadata/v1/instance/service-accounts/default/token
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"/>
<title>404 - File or directory not found.</title>
<style type="text/css">
<!--
body{margin:0;font-size:.7em;font-family:Verdana, Arial, Helvetica, sans-serif;background:#EEEEEE;}
fieldset{padding:0 15px 10px 15px;} 
h1{font-size:2.4em;margin:0;color:#FFF;}
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.content-container{background:#FFF;width:96%;margin-top:8px;padding:10px;position:relative;}
-->
</style>
</head>
<body>
<div id="header"><h1>Server Error</h1></div>
<div id="content">
 <div class="content-container"><fieldset>
  <h2>404 - File or directory not found.</h2>
  <h3>The resource you are looking for might have been removed, had its name changed, or is temporarily unavailable.</h3>
 </fieldset></div>
</div>
</body>
</html>