在googleclouddataproc中运行spark作业。使用bigquery连接器将作业输出的json数据加载到bigquery表中。
bigquery标准sql数据类型文档说明支持数组类型。
我的scala代码是：

val outputDatasetId = "mydataset"
val tableSchema = "["+
    "{'name': '_id', 'type': 'STRING'},"+
    "{'name': 'array1', 'type': 'ARRAY'},"+
    "{'name': 'array2', 'type': 'ARRAY'},"+
    "{'name': 'number1', 'type': 'FLOAT'}"+
    "]"

// Output configuration
BigQueryConfiguration.configureBigQueryOutput(
    conf, projectId, outputDatasetId, "outputTable", 
    tableSchema)

//Write visits to BigQuery
jsonData.saveAsNewAPIHadoopDataset(conf)

但作业引发了以下异常：

{
  "code" : 400,
  "errors" : [ {
  "domain" : "global",
  "message" : "Invalid value for: ARRAY is not a valid value",
  "reason" : "invalid"
   } ],
  "message" : "Invalid value for: ARRAY is not a valid value"
}
    at 

com.google.cloud.hadoop.util.AbstractGoogleAsyncWriteChannel.waitForCompletionAnThrowIfUploadFailed(AbstractGoogleAsyncWriteChannel.java:432)
    at com.google.cloud.hadoop.util.AbstractGoogleAsyncWriteChannel.close(AbstractGoogleAsyncWriteChannel.java:287)
    at com.google.cloud.hadoop.io.bigquery.BigQueryRecordWriter.close(BigQueryRecordWriter.java:358)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12$$anonfun$apply$5.apply$mcV$sp(PairRDDFunctions.scala:1124)
    at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1366)
    ... 8 more
Caused by: com.google.api.client.googleapis.json.GoogleJsonResponseException: 
400 Bad Request

这是遗留问题还是标准sql问题？或者spark的bigquery连接器不支持数组类型？