如何在BigQuery中获得连续TimeStamps之间的差异

时间:2016-07-26 19:39:51

标签: sql datetime google-bigquery

我有一个看起来像这样的表:

ID    DateTime
1     5-1-16 12:25:13
1     5-1-16 12:28:46
2     5-1-16 12:25:18
2     5-1-16 12:29:34

我想找到每个ID的每个连续时间戳之间的秒数差异。有没有办法在BigQuery中执行此操作?我有几千条记录。我知道我需要从最初的日期开始隔离时间。

1 个答案:

答案 0 :(得分:3)

尝试以下

SELECT
  ID, 
  TIMESTAMP_TO_SEC(TIMESTAMP(DateTime))-TIMESTAMP_TO_SEC(TIMESTAMP(prev_DateTime)) AS diff,
FROM (
  SELECT 
    ID,
    DateTime,
    LAG(DateTime) OVER(PARTITION BY ID ORDER BY DateTime) AS prev_DateTime
  FROM 
    (SELECT 1 AS ID, '2016-05-01 12:25:13' AS DateTime),
    (SELECT 1 AS ID, '2016-05-01 12:28:46' AS DateTime),
    (SELECT 2 AS ID, '2016-05-01 12:25:18' AS DateTime),
    (SELECT 2 AS ID, '2016-05-01 12:29:34' AS DateTime)
)
  

加入

 SELECT
  ID, 
  TIMESTAMP_TO_SEC(TIMESTAMP(DateTime))-TIMESTAMP_TO_SEC(TIMESTAMP(prev_DateTime)) AS diff,
FROM (
  SELECT 
    ID,
    DateTime,
    LAG(DateTime) OVER(PARTITION BY ID ORDER BY DateTime) AS prev_DateTime
  FROM YourTable
)

我注意到 - 看起来你的DateTime字段有不寻常的格式 - ' 5-1-16 12:29:34'
如果您在实施上述查询时遇到问题 - 您可以尝试下面的一个 请注意:对于此查询,您需要enable Standard SQL

SELECT
  ID, 
  UNIX_SECONDS(DateTime) - UNIX_SECONDS(prev_DateTime) AS diff
FROM (
  SELECT 
    ID,
    DateTime,
    LAG(DateTime) OVER(PARTITION BY ID ORDER BY DateTime) AS prev_DateTime
  FROM (
    SELECT
      ID, 
      PARSE_TIMESTAMP("%m-%d-%y %H:%M:%S", DateTime) AS DateTime
    FROM YourTable  
  )
)