尝试从Google云端存储加载表时遇到以下错误: BadRequest:400 Load配置必须至少指定一个源URI(POST https://www.googleapis.com/bigquery/v2/projects/fansidata/jobs)
同时我的uri有效(即:我可以在gcs网络应用程序中看到它)
uris = ['gs://my-bucket-name/datastore_backup_analytics_2016_12_21_2_User/1569751766512529035929A5AA9742/output-0']
job_name = 'Load_User'
destinationTable = dataset.table('Transfer')
job = bigquery_client.load_table_from_storage(job_name, destinationTable, uris)
job.begin()
答案 0 :(得分:2)
我可能错了,但看起来Python API中的*
期望第三个参数的单个字符串而不是列表。如果要匹配多个文件,最后可以使用uri = 'gs://my-bucket-name/datastore_backup_analytics_2016_12_21_2_User/1569751766512529035929A5AA9742/output-*']
job_name = 'Load_User'
destinationTable = dataset.table('Transfer')
job = bigquery_client.load_table_from_storage(job_name, destinationTable, uri)
job.begin()
。例如,
Dim forbiddenWordsArr As Variant
Dim forbiddenWords As String
forbiddenWordsArr= Array("and","or","big","small","whatever else you want to add")
forbiddenWords="|" & Join(forbiddenWordsArr,"|"), & "|"
For i = 0 To UBound(words, 1)
Select Case True
Case = Len(words(i))<3 or InStr(forbiddenWords, "|" & words(i) & "|") > 0
Case Else
...
答案 1 :(得分:1)
Client.load_table_from_storage
使用一个或多个源URI(这是*soure_uris
在python中的含义)。 E.g:
job = client.load_table_from_storage(
'load-job-123', my_table_object,
'gs://my-bucket-name/table_one',
'gs://my-bucket-name/table_two')