Now I have a data like:
time(string) id(int)
201801051127 0
201801051130 0
201801051132 0
201801051135 1
201801051141 1
201801051145 0
201801051147 0
It has three different parts, and I want to calculate the time length of these three parts, such as the first zero sequence, the time length is 5 minutes. If I use 'group by 0 and 1', the first zero sequence would combine with the third zero sequence, which is not what I want. How I calculate the three parts' length with sql? My tried my-sql code is as follows:
SET @id_label:=0;
SELECT id_label,id,TIMESTAMPDIFF(MINUTE,MIN(DATE1),MAX(DATE1)) FROM
(SELECT id, DATE1, id_label FROM (
SELECT id, str_to_date ( TIME,'%Y%m%d%H%i' ) DATE1,
@id_label := IF(@id = id, @id_label, @id_label+1) id_label,
@id := id
FROM test.t
ORDER BY str_to_date ( TIME,'%Y%m%d%h%i' )
) a)b
GROUP BY id_label,id;
I don't know how to change it into hive code.
Try This.
SELECT id, ( max( TO_DATE ( time,'YYYYMMDDHHMI' ) )
- min( TO_DATE ( time,'YYYYMMDDHHMI' ) ) ) *24*60 diff_in_minutes from
(
select t.*,
row_number() OVER ( ORDER BY
TO_DATE ( time,'YYYYMMDDHHMI' ) )
- row_number() OVER ( PARTITION BY ID ORDER BY
TO_DATE ( time,'YYYYMMDDHHMI' ) ) seq
FROM Table1 t ORDER BY time
) GROUP BY ID,seq
ORDER BY max(time)
;
EDIT: This answer was written considering that the OP had tagged oracle
.Now it is changed to hive
.
As an alternative in hive for TO_DATE
in Oracle,
unix_timestamp(time, 'yyyyMMddhhmm')
could be used.
I would suggest some transformations:
Then you can just group by that new group number.
with q1 as (
select to_date(time, 'YYYYMMDDHH24MI') time, id,
case id when lag(id) over(order by time) then null else 1 end first_in_group
from t
), q2 as (
select time, id, count(first_in_group) over (order by time) grp_id
from q1
)
select min(id) id, (max(time) - min(time)) * 24 * 60 minutes
from q2
group by grp_id
order by grp_id
Different database engines use different functions to deal with date/time values, so use Hive's unix_timestamp
and deal with the number of seconds it returns:
with q1 as (
select unix_timestamp(time, 'yyyyMMddHHmm')/60 time, id,
case id when lag(id) over(order by time) then null else 1 end first_in_group
from t
), q2 as (
select time, id, count(first_in_group) over (order by time) grp_id
from q1
)
select min(id) id, max(time) - min(time) minutes
from q2
group by grp_id
order by grp_id
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