bigquery DataFlow Error: Cannot read and write in different locations while reading and writing in EU

Question

我有一个简单的 Google DataFlow 任务。它从 BigQuery table 读取并写入另一个，就像这样：

(p
 |  beam.io.Read( beam.io.BigQuerySource(
        query='select dia, import from DS1.t_27k where true', 
        use_standard_sql=True))
 |  beam.io.Write(beam.io.BigQuerySink(
                  output_table,
                  dataset='DS1', 
                  project=project, 
                  schema='dia:DATE, import:FLOAT',
                  create_disposition=CREATE_IF_NEEDED,
                      write_disposition=WRITE_TRUNCATE
                     )
                )

我想问题是这条管道似乎需要一个临时数据集才能完成工作。而且我无法强制定位此临时数据集。因为我的 DS1 在欧盟 (#EUROPE-WEST1) 而临时数据集在美国（我猜），任务失败：

WARNING:root:Dataset m-h-0000:temp_dataset_e433a0ef19e64100000000000001a does not exist so we will create it as temporary with location=None
WARNING:root:A task failed with exception.
 HttpError accessing <https://www.googleapis.com/bigquery/v2/projects/m-h-000000/queries/b8b2f00000000000000002bed336369d?alt=json&maxResults=10000>: response: <{'status': '400', 'content-length': '292', 'x-xss-protection': '1; mode=block', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'expires': 'Sat, 14 Oct 2017 20:29:15 GMT', 'vary': 'Origin, X-Origin', 'server': 'GSE', '-content-encoding': 'gzip', 'cache-control': 'private, max-age=0', 'date': 'Sat, 14 Oct 2017 20:29:15 GMT', 'x-frame-options': 'SAMEORIGIN', 'alt-svc': 'quic=":443"; ma=2592000; v="39,38,37,35"', 'content-type': 'application/json; charset=UTF-8'}>, content <{
 "error": {
  "errors": [
   {
    "domain": "global",
    "reason": "invalid",
    "message": "Cannot read and write in different locations: source: EU, destination: US"
   }
  ],
  "code": 400,
  "message": "Cannot read and write in different locations: source: EU, destination: US"
 }
}

管道选项：

options = PipelineOptions()

google_cloud_options = options.view_as(GoogleCloudOptions)
google_cloud_options.project = 'm-h'
google_cloud_options.job_name = 'myjob3'
google_cloud_options.staging_location = r'gs://p_df/staging'  #EUROPE-WEST1
google_cloud_options.region=r'europe-west1'
google_cloud_options.temp_location = r'gs://p_df/temp' #EUROPE-WEST1
options.view_as(StandardOptions).runner =   'DirectRunner'  #'DataflowRunner'

p = beam.Pipeline(options=options)

我该如何避免这个错误？

注意错误只出现在我运行为DirectRunner 时。

Answer 1

错误 Cannot read and write in different locations 很容易解释，它的发生可能是因为：

BigQuery 数据集在欧盟，而您运行在美国使用 DataFlow
您的 GCS 存储桶在欧盟，您运行在美国使用 DataFlow

正如您在问题中指定的那样，您已经在欧盟的 GCS 中创建了临时位置，并且您的 BigQuery 数据集也位于欧盟，因此您也必须运行欧盟的 DataFlow 作业.

为了实现这个，你需要在PipelineOptions中指定zone参数，像这样：

options = PipelineOptions()

wo = options.view_as(WorkerOptions)  # type: WorkerOptions
wo.zone = "europe-west1-b"


# rest of your options:
google_cloud_options = options.view_as(GoogleCloudOptions)
google_cloud_options.project = 'm-h'
google_cloud_options.job_name = 'myjob3'
google_cloud_options.staging_location = r'gs://p_df/staging'  # EUROPE-WEST1
google_cloud_options.region = r'europe-west1'
google_cloud_options.temp_location = r'gs://p_df/temp'  # EUROPE-WEST1
options.view_as(StandardOptions).runner = 'DataFlowRunner'

p = beam.Pipeline(options=options)

Answer 2

Python DirectRunner 中使用的 BigQuerySource 转换不会自动确定临时表的位置。请参阅 BEAM-1909 了解问题。

当使用 DataflowRunner 时，这应该有效。

bigquery DataFlow Error: Cannot read and write in different locations while reading and writing in EU

bigquery DataFlow Error: Cannot read and write in different locations while reading and writing in EU

python

google-bigquery

google-cloud-dataflow

apache-beam