Google bigquery 在BigQuery中按日期时间排序
我有以下表格模式:Google bigquery 在BigQuery中按日期时间排序,google-bigquery,ranking-functions,Google Bigquery,Ranking Functions,我有以下表格模式: Field name Type Mode Policy tags Description order_id STRING NULLABLE customer_id INTEGER NULLABLE order_datetime TIMESTAMP NULLABLE %Y-%m-%d %H:%M:%E*S item_i
Field name Type Mode Policy tags Description
order_id STRING NULLABLE
customer_id INTEGER NULLABLE
order_datetime TIMESTAMP NULLABLE %Y-%m-%d %H:%M:%E*S
item_id STRING NULLABLE
order_quantity INTEGER NULLABLE
客户可以在一个日期下多个订单。
我正在尝试编写一个查询,对每个客户下订单的每个日期的订单id进行排序:
SELECT customer_id,
order_datetime as order_date,
order_id,
RANK() OVER(PARTITION BY customer_id, CAST(order_datetime AS DATETIME) ORDER BY 2 DESC) as rank
FROM `SQL_sets.orders`
返回以下内容:
customer_id order_date order_id rank
21456 2019-01-12 9:28:35 A-005 1
21456 2019-01-12 12:28:35 A-005 1
21456 2019-01-12 19:28:35 A-005 1
31874 2020-11-15 0:00:00 A-009 1
32483 2020-11-21 0:00:00 A-001 1
32483 2020-11-22 0:00:00 A-001 1
42491 2019-01-16 2:52:07 A-006 1
42491 2019-01-20 2:52:07 A-0101 1
42491 2019-12-01 9:52:07 A-007 1
42491 2019-12-01 15:12:07 A-008 1
42491 2020-11-19 0:00:00 A-006 1
55400 2019-01-11 12:52:07 A-0088 1
但我希望/想得到:
customer_id order_date order_id rank
21456 2019-01-12 9:28:35 A-005 1
21456 2019-01-12 12:28:35 A-005 2
21456 2019-01-12 19:28:35 A-005 3
31874 2020-11-15 0:00:00 A-009 1
32483 2020-11-21 0:00:00 A-001 1
32483 2020-11-22 0:00:00 A-001 1
42491 2019-01-16 2:52:07 A-006 1
42491 2019-01-20 2:52:07 A-0101 1
42491 2019-12-01 9:52:07 A-007 1
42491 2019-12-01 15:12:07 A-008 2
42491 2020-11-19 0:00:00 A-006 1
55400 2019-01-11 12:52:07 A-0088 1
我做错了什么?您没有说,但我假设您正在使用SQL server。这可能更像是你想要什么。在您的示例中,您的分区是按客户和日期时间划分的,因此,除非客户同时订购两件物品,否则排名将始终为1。如果您只对同一日期发生的订单感兴趣,则需要将其转换为该类型
SELECT customer_id,
order_datetime as order_date,
order_id,
RANK() OVER(PARTITION BY customer_id ORDER BY CAST(order_datetime AS DATETIME) DESC) rank
FROM `SQL_sets.orders`
谢谢你指出我的错误。我将其固定为以下秩()(按客户id划分,CAST(order\u datetime作为日期)order BY CAST(order\u datetime作为日期)ASC)作为秩