[Webinar] Streamline your web hosting managementRegister Today

x
  • Status: Solved
  • Priority: Medium
  • Security: Public
  • Views: 252
  • Last Modified:

How to get this example out put with SQL

Hi all,

I have bellow example :

day   | duration >29  | duration <10
1-october | 125456 | 465498
3-october | 255456 | 465447

I want to do this in sql/postgress I tried with sum(case when etc) but I having condition didn't work their, just one thing more that I want the total of duration like if someone connected to connection  3 times with 10 second so it should be come under ( duration >29) or if total duration of one connection would be greater 29 it will come under that as well.

thanks forhelp
0
hi4ppl
Asked:
hi4ppl
  • 3
1 Solution
 
PortletPaulCommented:
at the moment I don't know how I could answer

please provide sample data
and the expected result relevant to that data
0
 
hi4pplAuthor Commented:
Hi,

here is sample data and expected result

SAMPLE DATA
day |account|duration
1-october | 123|  10
1-october | 123| 10
1-october | 123| 10
1-october | 321 | 30
1-october | 456 | 9

Open in new window


and result looking for from above data

RESULT
day   | duration >29  | duration <10
1-october | 2 | 1

Open in new window

0
 
PortletPaulCommented:
day isn't a great field name as that word is used in some functions and can get confusing so I have used "day"

I have also used just these 2 condtions, adjust as needed
<=10
 > 10

|                            DAY | LT_10 | GT_10 |
|--------------------------------|-------|-------|
| October, 01 2014 00:00:00+0000 |     1 |     2 |

Open in new window


select
      "day"
    , count(case when durn <= 10 then durn end) lt_10
    , count(case when durn  > 10 then durn end) gt_10
from (
      select
              account
            , "day"
            , sum(duration) durn
      from table1
      group by
              account
            , "day"
      ) s
group by
      "day"
;

Open in new window


If "day" contains time and you need to work only by day, then something like this may work for you:
select
      to_date( '' || yr || mn || dy,'YYYYMMDD') "day"
    , count(case when durn <= 10 then durn end) lt_10
    , count(case when durn  > 10 then durn end) gt_10
from (
      select
              account
            , date_part('year',day)  yr
            , date_part('month',day) mn
            , date_part('day',day)   dy
            , sum(duration)          durn
      from table1
      group by
              account
            , date_part('year',day)
            , date_part('month',day)
            , date_part('day',day)
      ) s
group by
      to_date( '' || yr || mn || dy,'YYYYMMDD')
;

Open in new window


test details
**PostgreSQL 9.3.1 Schema Setup**:

    CREATE TABLE Table1
    	("day" timestamp, "account" int, "duration" int)
    ;
    	
    INSERT INTO Table1
    	("day", "account", "duration")
    VALUES
    	('2014-10-01 00:00:00', 123, 10),
    	('2014-10-01 00:00:00', 123, 10),
    	('2014-10-01 00:00:00', 123, 10),
    	('2014-10-01 00:00:00', 321, 30),
    	('2014-10-01 00:00:00', 456, 9)
    ;

**Query 1**:

    select
          "day"
        , count(case when durn <= 10 then durn end) lt_10
        , count(case when durn  > 10 then durn end) gt_10
    from (
          select
                  account
                , "day"
                , sum(duration) durn
          from table1
          group by
                  account
                , "day"
          ) s
    group by
          "day"
    

**[Results][2]**:
    
    |                            DAY | LT_10 | GT_10 |
    |--------------------------------|-------|-------|
    | October, 01 2014 00:00:00+0000 |     1 |     2 |


**Query 2**:

    select
          to_date( '' || yr || mn || dy,'YYYYMMDD') "day"
        , count(case when durn <= 10 then durn end) lt_10
        , count(case when durn  > 10 then durn end) gt_10
    from (
          select
                  account
                , date_part('year',day)  yr
                , date_part('month',day) mn
                , date_part('day',day)   dy
                , sum(duration)          durn
          from table1
          group by
                  account
                , date_part('year',day)
                , date_part('month',day)
                , date_part('day',day)
          ) s
    group by
          to_date( '' || yr || mn || dy,'YYYYMMDD')
    

**[Results][3]**:
    
    |                            DAY | LT_10 | GT_10 |
    |--------------------------------|-------|-------|
    | October, 01 2014 00:00:00+0000 |     1 |     2 |


**Query 3**:

    select
          account
        , yr
        , mn
        , dy
        , count(case when durn <= 10 then durn end) lt_10
        , count(case when durn  > 10 then durn end) gt_10
    from (
          select
                  account
                , date_part('year',day)  yr
                , date_part('month',day) mn
                , date_part('day',day)   dy
                , sum(duration)          durn
          from table1
          group by
                  account
                , date_part('year',day)
                , date_part('month',day)
                , date_part('day',day)
          ) s
    group by
          account
        , yr
        , mn
        , dy
    

**[Results][4]**:
    
    | ACCOUNT |   YR | MN | DY | LT_10 | GT_10 |
    |---------|------|----|----|-------|-------|
    |     123 | 2014 | 10 |  1 |     0 |     1 |
    |     456 | 2014 | 10 |  1 |     1 |     0 |
    |     321 | 2014 | 10 |  1 |     0 |     1 |


**Query 4**:

    select ''|| 1 || 2 || 3 from table1
    

**[Results][5]**:
    
    | ?COLUMN? |
    |----------|
    |      123 |
    |      123 |
    |      123 |
    |      123 |
    |      123 |



  [1]: http://sqlfiddle.com/#!15/739c2/12

Open in new window

0
 
PortletPaulCommented:
one small request

if providing date/time information use a numeric date/time format that isn't language or culture specific

YYYY-MM-DD

or
YYYY-MM-DD hh:mm:ss
0

Featured Post

Free Tool: IP Lookup

Get more info about an IP address or domain name, such as organization, abuse contacts and geolocation.

One of a set of tools we are providing to everyone as a way of saying thank you for being a part of the community.

  • 3
Tackle projects and never again get stuck behind a technical roadblock.
Join Now