HIVE、ORACLE 等数据库 SQL 连续数据的统计

在 mysql 中逻辑演化过程

SELECT 
ip,`type`, CONCAT(MIN(tt), '-', MAX(tt)) mindivmax
FROM (
SELECT 
ip, 
`type`, 
tt, 
CASE WHEN @iptype = (ip || '-' || `type`) THEN (
@ind
)
ELSE (
@ind:=@ind + 1
) END flag,
@iptype := CONCAT(ip,'-',`type`) iptype
FROM 
cc, (SELECT @ind:=0) ind, (SELECT @iptype='') iptype
) ta
GROUP BY ta.iptype, ta.flag ORDER BY ip, mindivmax

在有 over 函数的数据库中

SELECT ip, type,min(tm), max(tm) FROM

(
  SELECT 
    ID,
    ip,
    type,
    tm,
    row_number() OVER(ORDER BY id) - row_number() OVER (PARTITION BY ip,type ORDER BY ID) x 
  FROM my 
) 

GROUP BY ip,type, x 

重新整理: 

SELECT 
  min(id) minId, ip,min(time) || '-' || max(time) time
FROM
(
  SELECT 
    id,
    ip,
    time,
    row_number() OVER(ORDER BY id) - row_number() OVER (PARTITION BY ip ORDER BY ID) x 
  FROM visit 
) 
GROUP BY 
      ip, x 
order by 
      minId