使用 BigQuery 进行多重连接并写入目标 Table

Question

如果我不设置目标 table.

，我有以下查询可以正常工作

SELECT soi.customer_id
, p.department
, p.category
, p.subcategory
, p.tier1
, p.tier2
, pc.bucket as categorization
, SUM(soi.price) as demand
, COUNT(1) as cnt
FROM store.sales_item soi 
INNER JOIN datamart.product p ON (soi.product_id = p.product_id)
INNER JOIN daily_customer_fact.dcf_product_categorization pc 
ON (p.department = pc.department
    AND p.category = pc.category 
    AND p.subcategory = pc.subcategory 
    AND p.tier1 = pc.tier1 
    AND p.tier2 = pc.tier2)
    WHERE DATE(soi.created_timestamp) < current_date()
    GROUP EACH BY 1,2,3,4,5,6,7 LIMIT 10

但是，如果我设置目的地 table，它会失败

Error: Ambiguous field name 'app_version' in JOIN. Please use the table qualifier before field name.

该列存在于 store.sales_item table，但我既不选择也不加入该列。

Answer 1

我以前看过这个错误信息，它指向以下内容：

指定目的地时的查询作业 table 将 flattenResults 设置为 false。
store.sales_item 和 datamart.product table 都包含一个名为 "app_version".

如果是这样，我建议查看此答案：

以及这个问题报告：https://code.google.com/p/google-bigquery/issues/detail?id=459

在您的情况下，您应该能够通过使用上面链接的答案中的建议 #3 执行以下类似操作来使查询成功。我无法测试它，因为我无权访问您的来源 tables，但它应该接近于将 flattenResults 设置为 false。

SELECT soi_and_p.customer_id
, soi_and_p.department
, soi_and_p.category
, soi_and_p.subcategory
, soi_and_p.tier1
, soi_and_p.tier2
, pc.bucket as categorization
, SUM(soi_and_p.price) as demand
, COUNT(1) as cnt
FROM 
  (SELECT soi.customer_id AS customer_id
   , p.department AS department
   , p.subcategory AS subcategory
   , p.tier1 AS tier1
   , p.tier2 AS tier2
   , soi.price AS price
   , soi.created_timestamp AS created_timestamp
  FROM store.sales_item soi 
  INNER JOIN datamart.product p ON (soi.product_id = p.product_id)
  ) as soi_and_p
INNER JOIN daily_customer_fact.dcf_product_categorization pc 
ON (soi_and_p.department = pc.department
    AND soi_and_p.category = pc.category 
    AND soi_and_p.subcategory = pc.subcategory 
    AND soi_and_p.tier1 = pc.tier1 
    AND soi_and_p.tier2 = pc.tier2)
    WHERE DATE(soi_and_p.created_timestamp) < current_date()
    GROUP EACH BY 1,2,3,4,5,6,7 LIMIT 10

使用 BigQuery 进行多重连接并写入目标 Table

Multiple Joins And Writing to Destination Table with BigQuery

sql

google-bigquery