hi i have a situation in sql as follows:
table name: case_details
caseid refno clientid report_date
1 1/1 1007 08-05-2013
2 1/2 1007 01-06-2013
3 1/3 1007 12-07-2013
4 1/4 1012 17-07-13
5 1/6 1009 08-07-13
table name: case_check_detail
caseid checkid alert_val
1 1 1
1 2 2
1 3 1
1 4 2
2 5 4
2 6 3
2 7 2
2 8 1
3 9 2
3 10 1
3 11 2
3 12 1
4 13 3
4 14 3
4 15 3
4 16 4
5 17 1
5 18 2
5 19 1
5 20 2
I want to count how many cases are there for clientid 1007 for whom the highest value of alert_val is 2 between 01-05-2013 to 18-07-2013
Like in this case its:
case id:1,caseid:3
Try
SELECT d.caseid
FROM case_details d JOIN case_check_detail c
ON d.caseid = c.caseid
WHERE d.clientid = 1007
AND d.report_date BETWEEN '20130501' AND '20130718'
GROUP BY d.caseid
HAVING MAX(c.alert_val) = 2
Output:
| CASEID |
----------
| 1 |
| 3 |
If you want to count them
SELECT COUNT(*) total
FROM
(
SELECT d.caseid
FROM case_details d JOIN case_check_detail c
ON d.caseid = c.caseid
WHERE d.clientid = 1007
AND d.report_date BETWEEN '20130501' AND '20130718'
GROUP BY d.caseid
HAVING MAX(c.alert_val) = 2
) q
Output:
| TOTAL |
---------
| 2 |
Here is SQLFiddle demo
SELECT COUNT(*)
FROM case_check_detail AS ccd
JOIN case_details AS cd ON cd.caseid=ccd.caseid
WHERE alert_val=2 AND report_date BETWEEN '2013-05-01' AND '2013-07-18'
Related
enter image description here
select * from TimeSheet
WeekID StudentID Hours
1 1 40
2 1 40
4 1 40
1 2 40
2 2 40
3 2 4
4 2 40
1 4 40
3 3 40
select * from Week
WeekID
1
2
3
4
select * from Student
StudentID StudentName
1 ABC
2 XYZ
3 ASD
4 QWE
After the join I have these results.
If have this data using three tables
select TS.WeekID
, TS.StudentID
, TS.[Hours]
, SS.StudentID
, WW.WeekID
FROM TimeSheet TS
left JOIN Student SS ON SS.StudentID = TS.StudentID
left JOIN [Week] WW ON WW.WeekID = TS.WeekID
WeekID StudentID Hours StudentID WeekID
1 1 40 1 1
2 1 40 1 2
4 1 40 1 4
1 2 40 2 1
2 2 40 2 2
3 2 4 2 3
4 2 40 2 4
3 3 40 3 3
1 4 40 4 1
Expectation Result is ...
WeekID StudentID Hours StudentID WeekID
3 1 40 1 2
1 3 40 3 3
2 3 40 3 3
4 3 40 3 3
2 4 40 4 1
3 4 40 4 1
4 4 40 4 1
I want to get for example:
student 1 and week 3 is missing
student 2 no week is missing
and student 3 1,2 and 4 week is missing
and student 4 2,3,4 week is missing.
Please help me out.
If you cross join your Week and Student tables to get all combinations, and then use not exists to determine where no TimeSheet record exists.
select W.WeekID, S.StudentID
from [Week] W
cross join Student S
where not exists (select 1 from TimeSheet T where T.StudentID = S.StudentID and T.WeekID = W.WeekID);
This is the query:
SELECT WorkTypeId, WorktypeWorkID, LevelID
FROM Worktypes as w
LEFT JOIN WorktypesWorks as ww on w.ID = ww.WorktypeID
LEFT JOIN WorktypesWorksLevels as wwl on ww.ID = wwl.WorktypeWorkID
This is the result:
WorkTypeId WorktypeWorkID LevelID
1 1 1
1 1 2
1 1 3
1 2 1
1 2 2
1 2 3
1 3 1
1 4 1
1 4 2
1 5 1
NULL NULL NULL
3 19 2
4 6 1
4 7 1
4 7 2
4 7 3
4 17 1
4 17 2
4 18 1
4 18 2
NULL NULL NULL
I'd like to order the block of rows of each WorktypeWorkID, placing at the top the blocks which have the lower LevelID within the block.
Here's the result that I'd like to get:
WorkTypeId WorktypeWorkID LevelID
NULL NULL NULL
NULL NULL NULL
1 3 1 // blocks which have MinLevel 1
1 5 1
4 6 1
1 4 1 // blocks which have MinLevel 2
1 4 2
3 19 2
4 17 1
4 17 2
4 18 1
4 18 2
1 1 1 // blocks which have MinLevel 3
1 1 2
1 1 3
1 2 1
1 2 2
1 2 3
4 7 1
4 7 2
4 7 3
I think this is what you are looking for:
SELECT WorkTypeId, WorktypeWorkID, LevelID, MAX(LevelID) OVER (PARTITION BY WorktypeWorkID) as maxLevelID
FROM Worktypes as w
LEFT JOIN WorktypesWorks as ww on w.ID = ww.WorktypeID
LEFT JOIN WorktypesWorksLevels as wwl on ww.ID = wwl.WorktypeWorkID
ORDER BY maxLevelID
I have table
** Table:**
MTID code boxnumber
1 10-01 10
1 10-02 10
1 10-03 10
1 10-04 10
1 10-05 10
1 11-01 11
1 11-02 11
1 11-03 11
1 11-04 11
1 11-05 11
1 12-01 12
1 12-02 12
1 12-03 12
2 13 NULL
2 14 NULL
2 15 NULL
2 16 NULL
2 17 NULL
2 18 NULL
2 19 NULL
Requirement:
In return result, MTID 2 all rows and
MTID 1 conatins full box (count(boxnumber) = 5 where MTID = 1)
In the expected result, code = 12-xx WHERE MTID = 1 not return, because it not full box.
The Expected Result
MTID code boxnumber
1 10-01 10
1 10-02 10
1 10-03 10
1 10-04 10
1 10-05 10
1 11-01 11
1 11-02 11
1 11-03 11
1 11-04 11
1 11-05 11
2 13 NULL
2 14 NULL
2 15 NULL
2 16 NULL
2 17 NULL
2 18 NULL
2 19 NULL
Anyone can Help on this?
Thanks.
We can try using COUNT as an analytic function here to assert the count of 5 requirement. Matching rows either belong to MTID = 1 and having a count of 5 boxnumber, or some other value for MTID.
SELECT MTID, code, boxnumber
FROM
(
SELECT *, COUNT(*) OVER (PARTITION BY MTID, boxnumber) cnt
FROM yourTable
) t
WHERE (MTID = 1 AND cnt = 5) OR MTID <> 1;
Demo
My goal is to determine the size of various organizations at various levels. Let's assume we have three organisations 'A', 'B', and 'C', each consisting of multiple department and having a further subdivision in teams with members., as outlined below:
Org. Dep. Tm. Member
A 1 I name1
A 1 I name2
A 1 I name3
A 1 II name4
A 2 I name5
A 2 I name6
B 1 I name7
B 1 II name8
B 1 II name9
B 1 II name10
B 2 I name11
B 2 I name12
B 2 II name13
B 2 II name14
B 2 III name15
B 2 III name16
C 1 I name17
C 1 I name18
C 1 I name19
C 1 I name20
C 1 I name21
Now, I'd like to know for each member how large their respective Org., Dep. and Tm. are, like this:
Org. Dep. Tm. Member org dep tm
A 1 I name1 6 4 3
A 1 I name2 6 4 3
A 1 I name3 6 4 3
A 1 II name4 6 4 1
A 2 I name5 6 2 2
A 2 I name6 6 2 2
B 1 I name7 10 4 1
B 1 II name8 10 4 3
B 1 II name9 10 4 3
B 1 II name10 10 4 3
B 2 I name11 10 6 2
B 2 I name12 10 6 2
B 2 II name13 10 6 2
B 2 II name14 10 6 2
B 2 III name15 10 6 2
B 2 III name16 10 6 2
C 1 I name17 5 5 5
C 1 I name18 5 5 5
C 1 I name19 5 5 5
C 1 I name20 5 5 5
C 1 I name21 5 5 5
My original idea was to do this with multiple LEFT JOINS to aggregate the different levels, but this scales very poorly as you need a new join for every aggregation level. Is there a way to do this efficiently in a single statement?
Use window functions:
select org, dep, tm,
count(*) over (partition by org) as org_cnt,
count(*) over (partition by org, dep) as dep_cnt,
count(*) over (partition by org, dep, tm) as tm_cnt
from t;
The columns are hierarchical so dep and tm need the higher levels of the hierarchy.
EDIT:
If Hive doesn't support count(distinct) and you need it, then you can do:
select org, dep, tm,
sum(case when seqnum_o = 1 then 1 else 0 end) over (partition by org) as org_cnt,
sum(case when seqnum_od = 1 then 1 else 0 end) over (partition by org, dep) as dep_cnt,
sum(case when seqnum_odt = 1 then 1 else 0 end) over (partition by org, dep, tm) as tm_cnt
from (select t.*,
row_number() over partition by org, memberid order by org) as seqnum_o,
row_number() over partition by org, dep, memberid order by org) as seqnum_od,
row_number() over partition by org, dep, tm, memberid order by org) as seqnum_odt
from t
) t;
I have the following REPORT table
m = month,
pid = product_id,
bid = branch_id,
s = sales
m pid bid s
--------------------------
1 1 1 20
1 3 1 11
1 2 1 14
1 4 1 16
1 5 1 31
1 1 2 30
1 3 2 10
1 2 2 24
1 4 2 17
1 5 2 41
2 3 1 43
2 5 1 21
2 4 1 10
2 1 1 5
2 2 1 12
2 3 2 22
2 5 2 10
2 4 2 5
2 1 2 4
2 2 2 10
3 3 1 21
3 5 1 10
3 4 1 44
3 1 1 4
3 2 1 14
3 3 2 10
3 5 2 5
3 4 2 6
3 1 2 7
3 2 2 10
I'd like to have a summary of this sales table
by showing the top 3 sales among the products across all branches.
something like this:
m pid total
---------------------
1 5 72
1 1 50
1 4 33
2 3 65
2 5 31
2 2 22
3 4 50
3 3 31
3 2 24
so on month 1, product #5 has the highest total sales with 72, followed by product #1 is 50.. and so on. if i could separate them into different table for each month would be better
so far what i can do is make a summary for 1 month and shows the entire thing and not top 3.
select pid, sum(s)
from report
where m = 1
group by pid
order by sum(s);
thanks a lot!
Most databases support the ANSI standard window functions. You can do what you want with row_number():
select m, pid, s
from (select r.m, r.pid, sum(s) as s,
row_number() over (partition by m order by sum(s) desc) as seqnum
from report r
group by r.m, r.pid
) r
where seqnum <= 3
order by m, s desc;