Google bigquery 比较日期和时间戳的BigQuery

下面是我在MySQL中使用的示例。但是，在BigQuery中，我的现场

时间戳是日期，我的文档时间戳是时间戳

BigQuery在以下查询中遇到问题，因为我收到消息：

参数类型：DATE的函数日期没有匹配的签名。支持的签名：日期（时间戳，[STRING]）；日期（DATETIME）；日期（INT64，INT64，INT64）在[8:146]

有人知道我需要做什么才能使查询能够比较日期和时间戳吗

架构（MySQL v5.7）


查询#1

SELECT
  IFNULL(OnSite.worksite_id, Documents.worksite_id) as `Worksite`,
  DATE(IFNULL(OnSite.timestamp, Documents.timestamp)) as `Date`,
  COUNT(Documents.worksite_id) as `Users_on_Site`,
  COUNT(DISTINCT OnSite.uid) as `Completed`

FROM OnSite
  LEFT JOIN Documents ON OnSite.worksite_id = Documents.worksite_id AND DATE(OnSite.timestamp) = DATE(Documents.timestamp)
GROUP BY `Date`, `Worksite`;

| Worksite   | Date       | Users_on_Site | Completed |
| ---------- | ---------- | ------------- | --------- |
| worksite_1 | 2019-01-01 | 2             | 2         |
| worksite_1 | 2019-01-02 | 0             | 2         |
| worksite_1 | 2019-01-03 | 1             | 1         |
| worksite_1 | 2019-01-04 | 0             | 1         |
| worksite_1 | 2019-01-05 | 2             | 2         |
| worksite_1 | 2019-01-06 | 0             | 2         |


在中，说明了
日期
函数接受以下输入：

日期（年、月、日）
：根据表示年、月和日的INT64值构造日期


日期（时间戳表达式[，时区]）
：将时间戳表达式转换为日期数据类型。它支持一个可选参数来指定时区。如果未指定时区，则使用默认时区UTC


在您的用例中，您传递给
DATE
的值似乎已经是datetime。为此，您可以使用
DATETIME\u TRUNC
，如：

DATETIME_TRUNC(IFNULL(OnSite.timestamp, Documents.timestamp), DAY)

下面是BigQuery标准SQL

#standardSQL
SELECT
  IFNULL(OnSite.worksite_id, Documents.worksite_id) AS `Worksite`,
  IFNULL(OnSite.timestamp, DATE(Documents.timestamp)) AS `DATE`,
  COUNT(Documents.worksite_id) AS `Users_on_Site`,
  COUNT(DISTINCT OnSite.uid) AS `Completed`
FROM `project.dataset.OnSite` OnSite
LEFT JOIN `project.dataset.Documents` Documents 
ON OnSite.worksite_id = Documents.worksite_id 
AND OnSite.timestamp = DATE(Documents.timestamp)
GROUP BY `DATE`, `Worksite`

如果要应用于您问题中的样本数据

WITH `project.dataset.OnSite` AS (
  SELECT "u12345" uid, "worksite_1" worksite_id, DATE '2019-01-01' `TIMESTAMP` UNION ALL
  SELECT "u12345", "worksite_1", '2019-01-02' UNION ALL
  SELECT "u12345", "worksite_1", '2019-01-03' UNION ALL
  SELECT "u12345", "worksite_1", '2019-01-04' UNION ALL
  SELECT "u12345", "worksite_1", '2019-01-05' UNION ALL
  SELECT "u12345", "worksite_1", '2019-01-06' UNION ALL
  SELECT "u1", "worksite_1", '2019-01-01' UNION ALL
  SELECT "u1", "worksite_1", '2019-01-02' UNION ALL
  SELECT "u1", "worksite_1", '2019-01-05' UNION ALL
  SELECT "u1", "worksite_1", '2019-01-06' 
), `project.dataset.Documents` AS (
  SELECT "1" document_id,     "u12345" uid,   "worksite_1" worksite_id, 'work_permit' type,    TIMESTAMP '2019-01-01 00:00:00' `TIMESTAMP` UNION ALL
  SELECT "2",     "u12345",   "worksite_2", 'job',            '2019-01-02 00:00:00' UNION ALL
  SELECT "3",     "u12345",   "worksite_1", 'work_permit',    '2019-01-03 00:00:00' UNION ALL
  SELECT "4",     "u12345",   "worksite_2", 'job',            '2019-01-04 00:00:00' UNION ALL
  SELECT "5",     "u12345",   "worksite_1", 'work_permit',    '2019-01-05 00:00:00' UNION ALL
  SELECT "6",     "u12345",   "worksite_2", 'job',            '2019-01-06 00:00:00' UNION ALL
  SELECT "7",     "u12345",   "worksite_1", 'work_permit',    '2019-01-07 00:00:00' UNION ALL
  SELECT "8",     "u12345",   "worksite_2", 'work_permit',    '2019-01-09 00:00:00' UNION ALL
  SELECT "9",     "u12345",   "worksite_1", 'job',            '2019-01-09 00:00:00' UNION ALL
  SELECT "10",    "u12345",   "worksite_2", 'work_permit',    '2019-01-09 00:00:00' UNION ALL
  SELECT "11",    "u12345",   "worksite_1", 'work_permit',    '2019-01-09 00:00:00' UNION ALL
  SELECT "12",    "u12345",   "worksite_2", 'work_permit',    '2019-01-09 00:00:00' UNION ALL
  SELECT "13",    "u12345",   "worksite_1", 'job',            '2019-01-09 00:00:00' UNION ALL
  SELECT "14",    "u12345",   "worksite_2", 'work_permit',    '2019-01-09 00:00:00' UNION ALL
  SELECT "15",    "u12345",   "worksite_1", 'work_permit',    '2019-01-09 00:00:00' 
)

结果将如预期的那样

Row Worksite    Date        Users_on_Site   Completed    
1   worksite_1  2019-01-01  2               2    
2   worksite_1  2019-01-02  0               2    
3   worksite_1  2019-01-03  1               1    
4   worksite_1  2019-01-04  0               1    
5   worksite_1  2019-01-05  2               2    
6   worksite_1  2019-01-06  0               2    

你为什么不强制施展一切，让生活变得更轻松：-）？所有这些都应该起作用：

select 
   date(timestamp('2019-01-02')), 
   date(timestamp('2019-01-02 00:00:00')), 
   date(timestamp(null)))

因此，在if null语句中：

SELECT
  IFNULL(OnSite.worksite_id, Documents.worksite_id) as `Worksite`,
  IFNULL(date(datetime(OnSite.timestamp)),date(datetime(Documents.timestamp))) as `Date`,
  COUNT(Documents.worksite_id) as `Users_on_Site`,
  COUNT(DISTINCT OnSite.uid) as `Completed`
FROM OnSite
  LEFT JOIN Documents ON OnSite.worksite_id = Documents.worksite_id AND DATE(datetime(OnSite.timestamp)) = DATE(datetime(Documents.timestamp))
GROUP BY `Date`, `Worksite`;

如果您使用SQL类型转换，例如
LEFT-JOIN-Documents ON-site.worksite\u id=Documents.worksite\u id和DATE（TIMESTAMP-site.TIMESTAMP）=DATE（TIMESTAMP-Documents.TIMESTAMP）
或
LEFT-JOIN-Documents ON-site\u id=Documents.worksite\u id和DATE（site.TIMESTAMP:：TIMESTAMP）=DATE（Documents.TIMESTAMP:：TIMESTAMP）

？你需要清楚你使用的是什么-

mysql

或

bigquery

@mikhailberlyan对不起，我以为我的标题很清楚。我给这两个都加了标签，因为我觉得它们是相似的技能集，但我会确保删除mysql标签。我真的建议你使用合适的标签，因为这会误导你，最终导致“垃圾”answers@MikhailBerlyant绝对同意。我在第9行遇到了一个奇怪的错误：

on OnSite.worksite\u id=Documentimestamp.worksite\u id

（无法识别的名称）Yayk。打字错误-现在将修复shortlycheck。抱歉，这是我侧边上的复制/粘贴问题嗯，出于某种原因，当我将其放入BigQuery时，这是同一行上的同一个问题。我认为您可以在现场执行-

。时间戳介于“2019-01-01”和“2019-10-10”

-这里没有任何“黑客行为”-通常的过滤方式

SELECT
  IFNULL(OnSite.worksite_id, Documents.worksite_id) as `Worksite`,
  IFNULL(date(datetime(OnSite.timestamp)),date(datetime(Documents.timestamp))) as `Date`,
  COUNT(Documents.worksite_id) as `Users_on_Site`,
  COUNT(DISTINCT OnSite.uid) as `Completed`
FROM OnSite
  LEFT JOIN Documents ON OnSite.worksite_id = Documents.worksite_id AND DATE(datetime(OnSite.timestamp)) = DATE(datetime(Documents.timestamp))
GROUP BY `Date`, `Worksite`;