SQL Server count records group by 4 weeks in month and location












1















I want to count total rows of 4 weeks in month and group it by location the results should be like:



location week1 week2 week3 week4
Floor A 10 0 3 4
Floor B 5 2 0 0
...


I've tried this to get a week number by given a date.



CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1 
WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
ELSE 4 END AS WeekNumber


It's gives me this result:



+----+-----------+--------------+------------+
| id | create_by | create_date | WeekNumber |
+----+-----------+--------------+------------+
| 1 | 555001 | '2018-11-01' | 1 |
| 2 | 555002 | '2018-11-05' | 1 |
| 3 | 555004 | '2018-11-06' | 1 |
| 4 | 555001 | '2018-11-10' | 2 |
| 5 | 555003 | '2018-11-17' | 3 |
| 6 | 555002 | '2018-11-17' | 3 |
| 7 | 555001 | '2018-11-18' | 3 |
| 8 | 555003 | '2018-11-20' | 3 |
| 9 | 555001 | '2018-11-22' | 4 |
| 10 | 555001 | '2018-11-25' | 4 |
+----+-----------+--------------+------------+


My tables



tbl_user



+----+----------+----------+
| id | username | location |
+----+----------+----------+
| 1 | 555001 | Floor A |
| 2 | 555002 | Floor B |
| 3 | 555003 | Floor C |
| 4 | 555004 | Floor A |
| 5 | 555005 | Floor C |
+----+----------+----------+


tbl_list



+----+-----------+--------------+
| id | create_by | create_date |
+----+-----------+--------------+
| 1 | 555001 | '2018-11-01' |
| 2 | 555002 | '2018-11-05' |
| 3 | 555004 | '2018-11-06' |
| 4 | 555001 | '2018-11-10' |
| 5 | 555003 | '2018-11-17' |
| 6 | 555002 | '2018-11-17' |
| 7 | 555001 | '2018-11-18' |
| 8 | 555003 | '2018-11-20' |
| 9 | 555001 | '2018-11-22' |
| 10 | 555001 | '2018-11-25' |
+----+-----------+--------------+









share|improve this question



























    1















    I want to count total rows of 4 weeks in month and group it by location the results should be like:



    location week1 week2 week3 week4
    Floor A 10 0 3 4
    Floor B 5 2 0 0
    ...


    I've tried this to get a week number by given a date.



    CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1 
    WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
    WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
    ELSE 4 END AS WeekNumber


    It's gives me this result:



    +----+-----------+--------------+------------+
    | id | create_by | create_date | WeekNumber |
    +----+-----------+--------------+------------+
    | 1 | 555001 | '2018-11-01' | 1 |
    | 2 | 555002 | '2018-11-05' | 1 |
    | 3 | 555004 | '2018-11-06' | 1 |
    | 4 | 555001 | '2018-11-10' | 2 |
    | 5 | 555003 | '2018-11-17' | 3 |
    | 6 | 555002 | '2018-11-17' | 3 |
    | 7 | 555001 | '2018-11-18' | 3 |
    | 8 | 555003 | '2018-11-20' | 3 |
    | 9 | 555001 | '2018-11-22' | 4 |
    | 10 | 555001 | '2018-11-25' | 4 |
    +----+-----------+--------------+------------+


    My tables



    tbl_user



    +----+----------+----------+
    | id | username | location |
    +----+----------+----------+
    | 1 | 555001 | Floor A |
    | 2 | 555002 | Floor B |
    | 3 | 555003 | Floor C |
    | 4 | 555004 | Floor A |
    | 5 | 555005 | Floor C |
    +----+----------+----------+


    tbl_list



    +----+-----------+--------------+
    | id | create_by | create_date |
    +----+-----------+--------------+
    | 1 | 555001 | '2018-11-01' |
    | 2 | 555002 | '2018-11-05' |
    | 3 | 555004 | '2018-11-06' |
    | 4 | 555001 | '2018-11-10' |
    | 5 | 555003 | '2018-11-17' |
    | 6 | 555002 | '2018-11-17' |
    | 7 | 555001 | '2018-11-18' |
    | 8 | 555003 | '2018-11-20' |
    | 9 | 555001 | '2018-11-22' |
    | 10 | 555001 | '2018-11-25' |
    +----+-----------+--------------+









    share|improve this question

























      1












      1








      1








      I want to count total rows of 4 weeks in month and group it by location the results should be like:



      location week1 week2 week3 week4
      Floor A 10 0 3 4
      Floor B 5 2 0 0
      ...


      I've tried this to get a week number by given a date.



      CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1 
      WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
      WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
      ELSE 4 END AS WeekNumber


      It's gives me this result:



      +----+-----------+--------------+------------+
      | id | create_by | create_date | WeekNumber |
      +----+-----------+--------------+------------+
      | 1 | 555001 | '2018-11-01' | 1 |
      | 2 | 555002 | '2018-11-05' | 1 |
      | 3 | 555004 | '2018-11-06' | 1 |
      | 4 | 555001 | '2018-11-10' | 2 |
      | 5 | 555003 | '2018-11-17' | 3 |
      | 6 | 555002 | '2018-11-17' | 3 |
      | 7 | 555001 | '2018-11-18' | 3 |
      | 8 | 555003 | '2018-11-20' | 3 |
      | 9 | 555001 | '2018-11-22' | 4 |
      | 10 | 555001 | '2018-11-25' | 4 |
      +----+-----------+--------------+------------+


      My tables



      tbl_user



      +----+----------+----------+
      | id | username | location |
      +----+----------+----------+
      | 1 | 555001 | Floor A |
      | 2 | 555002 | Floor B |
      | 3 | 555003 | Floor C |
      | 4 | 555004 | Floor A |
      | 5 | 555005 | Floor C |
      +----+----------+----------+


      tbl_list



      +----+-----------+--------------+
      | id | create_by | create_date |
      +----+-----------+--------------+
      | 1 | 555001 | '2018-11-01' |
      | 2 | 555002 | '2018-11-05' |
      | 3 | 555004 | '2018-11-06' |
      | 4 | 555001 | '2018-11-10' |
      | 5 | 555003 | '2018-11-17' |
      | 6 | 555002 | '2018-11-17' |
      | 7 | 555001 | '2018-11-18' |
      | 8 | 555003 | '2018-11-20' |
      | 9 | 555001 | '2018-11-22' |
      | 10 | 555001 | '2018-11-25' |
      +----+-----------+--------------+









      share|improve this question














      I want to count total rows of 4 weeks in month and group it by location the results should be like:



      location week1 week2 week3 week4
      Floor A 10 0 3 4
      Floor B 5 2 0 0
      ...


      I've tried this to get a week number by given a date.



      CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1 
      WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
      WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
      ELSE 4 END AS WeekNumber


      It's gives me this result:



      +----+-----------+--------------+------------+
      | id | create_by | create_date | WeekNumber |
      +----+-----------+--------------+------------+
      | 1 | 555001 | '2018-11-01' | 1 |
      | 2 | 555002 | '2018-11-05' | 1 |
      | 3 | 555004 | '2018-11-06' | 1 |
      | 4 | 555001 | '2018-11-10' | 2 |
      | 5 | 555003 | '2018-11-17' | 3 |
      | 6 | 555002 | '2018-11-17' | 3 |
      | 7 | 555001 | '2018-11-18' | 3 |
      | 8 | 555003 | '2018-11-20' | 3 |
      | 9 | 555001 | '2018-11-22' | 4 |
      | 10 | 555001 | '2018-11-25' | 4 |
      +----+-----------+--------------+------------+


      My tables



      tbl_user



      +----+----------+----------+
      | id | username | location |
      +----+----------+----------+
      | 1 | 555001 | Floor A |
      | 2 | 555002 | Floor B |
      | 3 | 555003 | Floor C |
      | 4 | 555004 | Floor A |
      | 5 | 555005 | Floor C |
      +----+----------+----------+


      tbl_list



      +----+-----------+--------------+
      | id | create_by | create_date |
      +----+-----------+--------------+
      | 1 | 555001 | '2018-11-01' |
      | 2 | 555002 | '2018-11-05' |
      | 3 | 555004 | '2018-11-06' |
      | 4 | 555001 | '2018-11-10' |
      | 5 | 555003 | '2018-11-17' |
      | 6 | 555002 | '2018-11-17' |
      | 7 | 555001 | '2018-11-18' |
      | 8 | 555003 | '2018-11-20' |
      | 9 | 555001 | '2018-11-22' |
      | 10 | 555001 | '2018-11-25' |
      +----+-----------+--------------+






      sql sql-server






      share|improve this question













      share|improve this question











      share|improve this question




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      asked Nov 21 '18 at 7:48









      Vintage BeefVintage Beef

      154112




      154112
























          2 Answers
          2






          active

          oldest

          votes


















          1














          You can try using pivot



          with cte as
          (
          select *,location,
          CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1
          WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
          WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
          ELSE 4 END AS WeekNumber
          from tbl_list a left join tbl_user b on a.create_by=b.username
          )

          select * from
          (select * from cte
          pivot
          (
          count(create_by) for WeekNumber in ([1],[2],[3],[4])
          ) as pv)A left join
          (select location,count(username) countofUser from tbl_user group by location)B on
          A.location=B.location





          share|improve this answer


























          • I got this error msg "Incorrect syntax near '1'"

            – Vintage Beef
            Nov 21 '18 at 8:11











          • As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

            – dnoeth
            Nov 21 '18 at 8:22











          • Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

            – Vintage Beef
            Nov 21 '18 at 8:29











          • @VintageBeef, updated the answer for count user location wise - you can check

            – fa06
            Nov 21 '18 at 8:36



















          1














          I would simply use conditional aggregation:



          select u.location,
          sum(case when day(l.create_date) >= 1 and day(l.create_date) < 8 then 1 else 0
          end) as week1,
          sum(case when day(l.create_date) >= 8 and day(l.create_date) < 15 then 1 else 0
          end) as week2,
          sum(case when day(l.create_date) >= 15 and day(l.create_date) < 22 then 1 else 0
          end) as week3,
          sum(case when day(l.create_date) >= 22 and day(l.create_date) < 29 then 1 else 0
          end) as week4
          from tbl_list l join
          tbl_user u
          on l.create_by = u.username
          group by u.location;


          This seems much, much simpler than attempting to use pivot. Subqueries are simply not needed for this logic.






          share|improve this answer
























          • Thank you so much. I found the same as your by myself too.

            – Vintage Beef
            Nov 29 '18 at 11:15











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          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          You can try using pivot



          with cte as
          (
          select *,location,
          CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1
          WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
          WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
          ELSE 4 END AS WeekNumber
          from tbl_list a left join tbl_user b on a.create_by=b.username
          )

          select * from
          (select * from cte
          pivot
          (
          count(create_by) for WeekNumber in ([1],[2],[3],[4])
          ) as pv)A left join
          (select location,count(username) countofUser from tbl_user group by location)B on
          A.location=B.location





          share|improve this answer


























          • I got this error msg "Incorrect syntax near '1'"

            – Vintage Beef
            Nov 21 '18 at 8:11











          • As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

            – dnoeth
            Nov 21 '18 at 8:22











          • Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

            – Vintage Beef
            Nov 21 '18 at 8:29











          • @VintageBeef, updated the answer for count user location wise - you can check

            – fa06
            Nov 21 '18 at 8:36
















          1














          You can try using pivot



          with cte as
          (
          select *,location,
          CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1
          WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
          WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
          ELSE 4 END AS WeekNumber
          from tbl_list a left join tbl_user b on a.create_by=b.username
          )

          select * from
          (select * from cte
          pivot
          (
          count(create_by) for WeekNumber in ([1],[2],[3],[4])
          ) as pv)A left join
          (select location,count(username) countofUser from tbl_user group by location)B on
          A.location=B.location





          share|improve this answer


























          • I got this error msg "Incorrect syntax near '1'"

            – Vintage Beef
            Nov 21 '18 at 8:11











          • As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

            – dnoeth
            Nov 21 '18 at 8:22











          • Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

            – Vintage Beef
            Nov 21 '18 at 8:29











          • @VintageBeef, updated the answer for count user location wise - you can check

            – fa06
            Nov 21 '18 at 8:36














          1












          1








          1







          You can try using pivot



          with cte as
          (
          select *,location,
          CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1
          WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
          WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
          ELSE 4 END AS WeekNumber
          from tbl_list a left join tbl_user b on a.create_by=b.username
          )

          select * from
          (select * from cte
          pivot
          (
          count(create_by) for WeekNumber in ([1],[2],[3],[4])
          ) as pv)A left join
          (select location,count(username) countofUser from tbl_user group by location)B on
          A.location=B.location





          share|improve this answer















          You can try using pivot



          with cte as
          (
          select *,location,
          CASE WHEN DAY(create_date) >= 1 AND DAY(create_date) < 8 THEN 1
          WHEN DAY(create_date) >= 8 AND DAY(create_date) < 15 THEN 2
          WHEN DAY(create_date) >= 15 AND DAY(create_date) < 22 THEN 3
          ELSE 4 END AS WeekNumber
          from tbl_list a left join tbl_user b on a.create_by=b.username
          )

          select * from
          (select * from cte
          pivot
          (
          count(create_by) for WeekNumber in ([1],[2],[3],[4])
          ) as pv)A left join
          (select location,count(username) countofUser from tbl_user group by location)B on
          A.location=B.location






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 21 '18 at 8:35

























          answered Nov 21 '18 at 7:54









          fa06fa06

          17k21018




          17k21018













          • I got this error msg "Incorrect syntax near '1'"

            – Vintage Beef
            Nov 21 '18 at 8:11











          • As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

            – dnoeth
            Nov 21 '18 at 8:22











          • Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

            – Vintage Beef
            Nov 21 '18 at 8:29











          • @VintageBeef, updated the answer for count user location wise - you can check

            – fa06
            Nov 21 '18 at 8:36



















          • I got this error msg "Incorrect syntax near '1'"

            – Vintage Beef
            Nov 21 '18 at 8:11











          • As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

            – dnoeth
            Nov 21 '18 at 8:22











          • Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

            – Vintage Beef
            Nov 21 '18 at 8:29











          • @VintageBeef, updated the answer for count user location wise - you can check

            – fa06
            Nov 21 '18 at 8:36

















          I got this error msg "Incorrect syntax near '1'"

          – Vintage Beef
          Nov 21 '18 at 8:11





          I got this error msg "Incorrect syntax near '1'"

          – Vintage Beef
          Nov 21 '18 at 8:11













          As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

          – dnoeth
          Nov 21 '18 at 8:22





          As a CASE stops when the first TRUE condition is met (and there's no day 0), all the ... >= ... AND can be simply removed

          – dnoeth
          Nov 21 '18 at 8:22













          Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

          – Vintage Beef
          Nov 21 '18 at 8:29





          Thank you so much. One more question How do I count numbers of user like Floor A has 2 users that created list data Floor B 1 user and Floor C 1

          – Vintage Beef
          Nov 21 '18 at 8:29













          @VintageBeef, updated the answer for count user location wise - you can check

          – fa06
          Nov 21 '18 at 8:36





          @VintageBeef, updated the answer for count user location wise - you can check

          – fa06
          Nov 21 '18 at 8:36













          1














          I would simply use conditional aggregation:



          select u.location,
          sum(case when day(l.create_date) >= 1 and day(l.create_date) < 8 then 1 else 0
          end) as week1,
          sum(case when day(l.create_date) >= 8 and day(l.create_date) < 15 then 1 else 0
          end) as week2,
          sum(case when day(l.create_date) >= 15 and day(l.create_date) < 22 then 1 else 0
          end) as week3,
          sum(case when day(l.create_date) >= 22 and day(l.create_date) < 29 then 1 else 0
          end) as week4
          from tbl_list l join
          tbl_user u
          on l.create_by = u.username
          group by u.location;


          This seems much, much simpler than attempting to use pivot. Subqueries are simply not needed for this logic.






          share|improve this answer
























          • Thank you so much. I found the same as your by myself too.

            – Vintage Beef
            Nov 29 '18 at 11:15
















          1














          I would simply use conditional aggregation:



          select u.location,
          sum(case when day(l.create_date) >= 1 and day(l.create_date) < 8 then 1 else 0
          end) as week1,
          sum(case when day(l.create_date) >= 8 and day(l.create_date) < 15 then 1 else 0
          end) as week2,
          sum(case when day(l.create_date) >= 15 and day(l.create_date) < 22 then 1 else 0
          end) as week3,
          sum(case when day(l.create_date) >= 22 and day(l.create_date) < 29 then 1 else 0
          end) as week4
          from tbl_list l join
          tbl_user u
          on l.create_by = u.username
          group by u.location;


          This seems much, much simpler than attempting to use pivot. Subqueries are simply not needed for this logic.






          share|improve this answer
























          • Thank you so much. I found the same as your by myself too.

            – Vintage Beef
            Nov 29 '18 at 11:15














          1












          1








          1







          I would simply use conditional aggregation:



          select u.location,
          sum(case when day(l.create_date) >= 1 and day(l.create_date) < 8 then 1 else 0
          end) as week1,
          sum(case when day(l.create_date) >= 8 and day(l.create_date) < 15 then 1 else 0
          end) as week2,
          sum(case when day(l.create_date) >= 15 and day(l.create_date) < 22 then 1 else 0
          end) as week3,
          sum(case when day(l.create_date) >= 22 and day(l.create_date) < 29 then 1 else 0
          end) as week4
          from tbl_list l join
          tbl_user u
          on l.create_by = u.username
          group by u.location;


          This seems much, much simpler than attempting to use pivot. Subqueries are simply not needed for this logic.






          share|improve this answer













          I would simply use conditional aggregation:



          select u.location,
          sum(case when day(l.create_date) >= 1 and day(l.create_date) < 8 then 1 else 0
          end) as week1,
          sum(case when day(l.create_date) >= 8 and day(l.create_date) < 15 then 1 else 0
          end) as week2,
          sum(case when day(l.create_date) >= 15 and day(l.create_date) < 22 then 1 else 0
          end) as week3,
          sum(case when day(l.create_date) >= 22 and day(l.create_date) < 29 then 1 else 0
          end) as week4
          from tbl_list l join
          tbl_user u
          on l.create_by = u.username
          group by u.location;


          This seems much, much simpler than attempting to use pivot. Subqueries are simply not needed for this logic.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 21 '18 at 12:24









          Gordon LinoffGordon Linoff

          788k35312417




          788k35312417













          • Thank you so much. I found the same as your by myself too.

            – Vintage Beef
            Nov 29 '18 at 11:15



















          • Thank you so much. I found the same as your by myself too.

            – Vintage Beef
            Nov 29 '18 at 11:15

















          Thank you so much. I found the same as your by myself too.

          – Vintage Beef
          Nov 29 '18 at 11:15





          Thank you so much. I found the same as your by myself too.

          – Vintage Beef
          Nov 29 '18 at 11:15


















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