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BigQuery计算timeperiod Group By之间的实例

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我有一个上传到BigQuery的订单表，其中包含以下 Headers

ConsumerID，TransactionDate，Revenue，OrderID

ConsumerID和OrderID是整数TransactionDate是TIMESTAMP

数据结构如下

ConsumerId   || TransactionDate          || Revenue   ||  OrderID
1            || 2014-10-27 00:00:00 UTC  || 55        ||  653745
1            || 2015-02-27 00:00:00 UTC  || 65        ||  767833
1            || 2015-12-27 00:00:00 UTC  || 456       ||  5676324
2            || 2014-10-27 00:00:00 UTC  || 56        ||  435261
2            || 2016-02-27 00:00:00 UTC  || 43        ||  5632436724

所以我的预期产量是

ConsumerId   || Count Of Orders In Last 12 months
    1        || 2
    2        || 1

我想计算一下客户在首次订购之日起的头12个月内的订单数量 .

在大查询中，我写了以下内容

SELECT
  ConsumerId,
  COUNT(OrderNumber BETWEEN MIN(TransactionDate)AND DATE_ADD(MIN(TransactionDate),11,"MONTH")) AS CountOfOrdersTwelve,
FROM
  [ordertable.orders]
GROUP BY
  1,
  2
ORDER BY
  ConsumerId ;

但是这个错误有以下几点

错误：（L3：157）：无法按聚合分组 .

有谁知道这可以在bigquery中完成？

google-bigquery

1 回答

  • 2

    快速选项供您考虑（假设输入如下）

    (SELECT 1 AS ConsumerID, '2014-01-01' AS TransactionDate, 1 AS OrderID),
      (SELECT 1 AS ConsumerID, '2014-05-01' AS TransactionDate, 2 AS OrderID),
      (SELECT 1 AS ConsumerID, '2015-01-01' AS TransactionDate, 3 AS OrderID),
      (SELECT 1 AS ConsumerID, '2015-03-01' AS TransactionDate, 4 AS OrderID),
      (SELECT 1 AS ConsumerID, '2015-04-01' AS TransactionDate, 5 AS OrderID),
      (SELECT 1 AS ConsumerID, '2015-05-01' AS TransactionDate, 6 AS OrderID),

      (SELECT 2 AS ConsumerID, '2015-01-01' AS TransactionDate, 1 AS OrderID),
      (SELECT 2 AS ConsumerID, '2015-01-01' AS TransactionDate, 2 AS OrderID),
      (SELECT 2 AS ConsumerID, '2015-01-01' AS TransactionDate, 3 AS OrderID),
      (SELECT 2 AS ConsumerID, '2015-03-01' AS TransactionDate, 4 AS OrderID),
      (SELECT 2 AS ConsumerID, '2015-04-01' AS TransactionDate, 5 AS OrderID),
      (SELECT 2 AS ConsumerID, '2016-05-01' AS TransactionDate, 6 AS OrderID),

      (SELECT 3 AS ConsumerID, '2015-04-01' AS TransactionDate, 1 AS OrderID),
      (SELECT 3 AS ConsumerID, '2015-05-01' AS TransactionDate, 2 AS OrderID)

    您的数据可能因数据类型而异，因此您需要进行相应的调整

    SELECT ConsumerID, MAX(CountOfOrders) AS CountOfOrdersTwelve
FROM (
  SELECT ConsumerID, CountOfOrders
  FROM (
    SELECT
      ConsumerID, TransactionDate,
      COUNT(1) OVER(PARTITION BY ConsumerID ORDER BY TransactionDate) AS CountOfOrders,
      FIRST_VALUE(TransactionDate) 
        OVER(PARTITION BY ConsumerID ORDER BY TransactionDate) AS firstTransactionDate
    FROM [ordertable.orders]
  ) HAVING DATEDIFF(TransactionDate, firstTransactionDate) <= 365
) GROUP BY ConsumerID ORDER BY ConsumerID

    紧凑型

    Note ：此版本适用于 STRING （如上述第一个解决方案的示例）和 TIMESTAMP （如更新后的问题中所示） TransactionDate 的数据类型

    SELECT 
  ConsumerID, CountOfOrdersTwelve
FROM (
  SELECT 
    ConsumerID,
    TIMESTAMP_TO_SEC(TIMESTAMP(TransactionDate)) AS ts,
    COUNT(ts) OVER (PARTITION BY ConsumerID ORDER BY ts 
      RANGE BETWEEN CURRENT ROW AND 365*24*3600 FOLLOWING) AS CountOfOrdersTwelve,
    ROW_NUMBER() OVER(PARTITION BY ConsumerID ORDER BY ts) AS pos
  FROM [ordertable.orders]
)
WHERE pos = 1
ORDER BY ConsumerID
    回复于

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