#legacySQL
SELECT <list of fields to output>
FROM [projectname:datasetname.FullData_Edited] AS FullData_Edited
JOIN [projectname:datasetname.InstallDate] AS InstallDate
ON FullData_Edited.user = InstallDate.user
或(最好)
#standardSQL
SELECT <list of fields to output>
FROM `projectname.datasetname.FullData_Edited` AS FullData_Edited
JOIN `projectname.datasetname.InstallDate` AS InstallDate
ON FullData_Edited.user = InstallDate.user
请注意,SELECT *
在这种情况下使用会导致Ambiguous column name
错误,因此最好在输出中明确列出您需要的列/字段
解决方法是使用USING()
如下示例中的语法。
假设这user
是唯一模棱两可的领域 - 它可以解决问题
#standardSQL
SELECT *
FROM `projectname.datasetname.FullData_Edited` AS FullData_Edited
JOIN `projectname.datasetname.InstallDate` AS InstallDate
USING (user)
例如:
#standardSQL
WITH `projectname.datasetname.FullData_Edited` AS (
SELECT 1 user, 'a' field1
),
`projectname.datasetname.InstallDate` AS (
SELECT 1 user, 'b' field2
)
SELECT *
FROM `projectname.datasetname.FullData_Edited` AS FullData_Edited
JOIN `projectname.datasetname.InstallDate` AS InstallDate
USING (user)
返回
user field1 field2
1 a b
而使用ON FullData_Edited.user = InstallDate.user
给出以下错误
Error: Duplicate column names in the result are not supported. Found duplicate(s): user