I have a large 'scores' table that resembles the following:
quizid userid score high_score
1 john 50 0
1 bob 60 0
1 bob 65 0
1 steve 40 0
2 bob 20 0
2 bob 30 0
2 bob 15 0
current the 'high_score' column is '0' as it was just added. what I need to do is make a simple query to flag this column with a '1' for every instance where a user's score for each quiz is the highest one that user has for that quiz - i.e. after running the query I should have this:
quizid userid score high_score
1 john 50 1
1 bob 60 0
1 bob 65 1
1 steve 40 1
2 bob 20 0
2 bob 30 1
2 bob 15 0
Any help would be appreciated!
i'm not sure and i have not tested below code but try it maybe it help you
update scores set high_score=1 where (quizid,userid,score) in
(select quizid,userid,max(score) from scores group by quizid,userid)
Related
I need a query that shows the JobIDs where the Worker has not been paid BUT where the Company has been paid. Below are the table columns and sample data:
tblInvoices columns:
-------------------
JobID
InvoiceID
WorkerPaidAmountTotal
CompanyPaidAmountTotal
Sample data
-----------
JobID | InvoiceID | WorkerPaidAmountTotal | CompanyPaidAmountTotal
1 30 100 150
1 31 0 100
2 32 0 75
3 33 25 50
3 34 10 30
4 35 0 0
I know how to get the SUM of the amounts paid to either a Worker or the Company. The results look like this:
JobID Worker Company
1 100 250
2 0 75
3 35 80
4 0 0
But what I need are the results of just the JobIDs where the Worker has got 0 and the company >0. The results I want should be this, but I can't figure out the query to do so:
JobID Worker Company
2 0 75
Use HAVING clause to filter the groups. Try this :
SELECT jobid,
Worker=Sum(WorkerPaidAmountTotal),
Company=Sum(CompanyPaidAmountTotal)
FROM tablename
GROUP BY jobid
HAVING Sum(WorkerPaidAmountTotal) = 0
AND Sum(CompanyPaidAmountTotal) > 0
select jobid, worker, company where WorkerPaidAmountTotal = 0 and CompanyPaidAmountTotal
Seems to plain to do it... may be i did'nt understand the question
I need help with ms access query. My current group by is adding additional rows with my result sets.
currently it is this:
schoolsName organization city agent total organization_award city_award agent_award
John Boscoe 0 0 2 2 10000
John Boscoe 0 26 0 26 1000
John Boscoe 0 2 2 2 4000 100000
John Boscoe 18 0 0 18 10000
John Boscoe 3 3 0 3 5000 10000
my current sql query for ms access is:
SELECT
schools.schoolsName, Count(schools.[organization]) AS organization,
Count(schools.[city]) AS city, Count(schools.[agent]) AS agent,
Count(schools.schoolsName) AS total,
IIf((schools.[organization]) Like 'yes',Sum(schools.[dollaramount]),'') AS organization_award,
IIf((schools.[city]) Like 'yes',Sum(schools.[dollaramount]),'') AS city_award,
IIf((schools.[agent]) Like 'yes',Sum(schools.[dollaramount]),'') AS agent_award
FROM schools
GROUP BY schools.schoolsName, schools.[organization], schools.[city], schools.[agent];
how do i change the above query to get this result set:
schoolsName organization city agent total organization_award city_award agent_award
John Boscoe 21 31 4 51 15000 15000 110000
not sure about the count part, but did you try this?
SELECT schools.schoolsName,
Count(schools.[organization]) AS organization,
Count(schools.[city]) AS city,
Count(schools.[agent]) AS agent,
Count(schools.schoolsName) AS total,
Sum(IIf((schools.[organization]) Like 'yes', schools.[dollaramount],0)) AS organization_award,
Sum(IIf((schools.[city]) Like 'yes', schools.[dollaramount],0)) AS city_award,
Sum(IIf((schools.[agent]) Like 'yes', schools.[dollaramount],0)) AS agent_award
FROM schools
GROUP BY schools.schoolsName;
I am a beginner with basic knowledge.
I have a single table that I am trying to pull all UID's that have not had a particular code in the table within the past year.
My table looks like this: (but much larger of course)
FACID DPID EID DID UID DT Code Units Charge ET Ord
1 1 6 2 1002 15-Mar-07 99204 1 180 09:36.7 1
1 1 7 5 10004 15-Mar-07 99213 1 68 02:36.9 1
1 1 24 55 25887 15-Mar-07 99213 1 68 43:55.3 1
1 1 25 2 355688 15-Mar-07 99213 1 68 53:20.2 1
1 1 26 5 555654 15-Mar-07 99213 1 68 42:22.6 1
1 1 27 44 135514 15-Mar-07 99213 1 68 00:36.8 1
1 1 28 2 3244522 15-Mar-07 99214 1 98 34:59.4 1
1 1 29 5 235445 15-Mar-07 99213 1 68 56:42.1 1
1 1 30 3 3214444 15-Mar-07 99213 1 68 54:56.5 1
1 1 33 1 221444 15-Mar-07 99204 1 180 37:44.5 1
I am attempting to use the following, but this is not working for my time frame limits.
select distinct UID from PtProcTbl
where DT<'20120101'
and NOT EXISTS (Select Distinct UID
where Code in ('99203','99204','99205','99213',
'99214','99215','99244','99245'))
I need to know how to make sure the UID's that I am pulling are the ones don't have a DT after the 1/1/2012 cut off date that contains one of the NOT Exists codes.
The above query returned UID's that actually dates after 1/1/2012 that does contain one of the above codes...
Not sure what I am doing wrong or if I am totally off base on this..
Thanks in advance.
Are you sure you need the NOT EXISTS? How about instead:
AND Code NOT IN ('99203','99204','99205','99213','99214','99215','99244','99245')
WARNING : This is one BIG Question
I have a design problem that started simple, but in one step of growth has stumped me completely.
The simple version of reality has a nice flat fact table...
All names have been changed to protect the innocent
CREATE TABLE raw_data (
tier0_id INT, tier1_id INT, tier2_id INT, tier3_id INT,
metric0 INT, metric1 INT, metric2 INT, metric3 INT
)
The tierIDs relate to entities in a fixed depth tree. Such as a business hierarchy.
The metrics are just performance figures, such as number of frogs captured, or pigeons released.
In the reporting the kindly user would make selections to mean something like the following:
tier0_id's 34 and 55 - shown separately
all of tier1_id's - grouped together
all of tier2_id's - grouped together
all of tier3_id's - shown separately
metrics 2 and 3
This gives me the following type of query:
SELECT
CASE WHEN #t0_grouping = 1 THEN NULL ELSE tier0_id END AS tier0_id,
CASE WHEN #t1_grouping = 1 THEN NULL ELSE tier1_id END AS tier1_id,
CASE WHEN #t2_grouping = 1 THEN NULL ELSE tier2_id END AS tier2_id,
CASE WHEN #t3_grouping = 1 THEN NULL ELSE tier3_id END AS tier3_id,
SUM(metric2) AS metric2, SUM(metric3) AS metric3
FROM
raw_data
INNER JOIN tier0_values ON tier0_values.id = raw_data.tier0_id OR tier0_values.id IS NULL
INNER JOIN tier1_values ON tier1_values.id = raw_data.tier1_id OR tier1_values.id IS NULL
INNER JOIN tier2_values ON tier2_values.id = raw_data.tier2_id OR tier2_values.id IS NULL
INNER JOIN tier3_values ON tier3_values.id = raw_data.tier3_id OR tier3_values.id IS NULL
GROUP BY
CASE WHEN #t0_grouping = 1 THEN NULL ELSE tier0_id END,
CASE WHEN #t1_grouping = 1 THEN NULL ELSE tier1_id END,
CASE WHEN #t2_grouping = 1 THEN NULL ELSE tier2_id END,
CASE WHEN #t3_grouping = 1 THEN NULL ELSE tier3_id END
It's a nice hybrid of Dynamic SQL, and parametrised queries. And yes, I know, but SQL-CE makes people do strange things. Besides, that can be tidied up as and when the following change gets incorporated...
From now on, we need to be able to include NULLs in the different tiers. This will mean "applies to ALL entities in that tier".
For example, with the following very simplified data:
Activity WorkingTime ActiveTime BusyTime
1 0m 10m 0m
2 0m 15m 0m
3 0m 20m 0m
NULL 60m 0m 45m
WorkingTime never applies to an activity, so al the values go in with a NULL ID. But ActiveTime is specifically about a specific activity, so it goes in with a legitimate ID. BusyTime is also against a NULL activity because it's the cumulation of all the ActiveTime.
If one were to report on this data, the NULL values -always- get included in every row, because the NULL -means- "applies to everything". The data would look like...
Activity WorkingTime ActiveTime BusyTime (BusyOnOtherActivities)
1 60m 10m 45m (45-10 = 35m)
2 60m 15m 45m (45-15 = 30m)
3 60m 20m 45m (45-20 = 25m)
1&2 60m 25m 45m (45-25 = 20m)
1&3 60m 30m 45m (45-30 = 15m)
2&3 60m 35m 45m (45-35 = 10m)
ALL 60m 45m 45m (45-45 = 0m)
Hopefully this example makes sense, because it's actually a multi-tiered hierarchy (as per the original example), and in every tier NULLs are allowed. So I'll try an example with 3 tiers...
t0_id | t1_id | t2_id | m1 | m2 | m3 | m4 | m5
1 3 10 | 0 10 0 0 0
1 4 10 | 0 15 0 0 0
1 5 10 | 0 20 0 0 0
1 NULL 10 | 60 0 45 0 0
2 3 10 | 0 5 0 0 0
2 5 10 | 0 10 0 0 0
2 6 10 | 0 15 0 0 0
2 NULL 10 | 50 0 30 0 0
1 3 11 | 0 7 0 0 0
1 4 11 | 0 8 0 0 0
1 5 11 | 0 9 0 0 0
1 NULL 11 | 30 0 24 0 0
2 3 11 | 0 8 0 0 0
2 5 11 | 0 10 0 0 0
2 6 11 | 0 12 0 0 0
2 NULL 11 | 40 0 30 0 0
NULL NULL 10 | 0 0 0 60 0
NULL NULL 11 | 0 0 0 60 0
NULL NULL NULL | 0 0 0 0 2
This would give many, many possible different output records in the reporting, but here are a few examples...
t0_id | t1_id | t2_id | m1 | m2 | m3 | m4 | m5
1 3 10 | 60 10 45 60 2
1 4 10 | 60 15 45 60 2
1 5 10 | 60 20 45 60 2
2 3 10 | 50 5 30 60 2
2 5 10 | 50 10 30 60 2
2 6 10 | 50 15 30 60 2
1 ALL 10 | 60 45 45 60 2
2 ALL 10 | 50 30 30 60 2
ALL 3 10 | 110 15 75 60 2
ALL 4 10 | 60 15 45 60 2
ALL 5 10 | 110 30 75 60 2
ALL 6 10 | 50 15 30 60 2
ALL 3 ALL | 180 30 129 120 2
ALL 4 ALL | 90 23 69 120 2
ALL 5 ALL | 180 49 129 120 2
ALL 6 ALL | 90 27 60 120 2
ALL ALL 10 | 110 129 129 60 2
ALL ALL 11 | 70 129 129 60 2
ALL ALL ALL | 180 129 129 120 2
1 3&4 ALL | 90 40 69 120 2
ALL 3&4 ALL | 180 53 129 120 2
As messy as this is to explain, it makes complete and logical sense in my head. I understand what is being asked, but for the life of me I can not seem to write a query for this that doesn't take excruciating amounts of time to execute.
So, how would you write such a query, and/or refactor the schema?
I appreciate that people will ask for examples of what I've done so far, but I'm eager to hear other people's uncorrupted ideas and advice first ;)
The problem looks more like a normalization activity. I would start with normalizing the table
to something like: (You may need some more identity fields depending on your usage)
CREATE TABLE raw_data (
rawData_ID INT,
Activity_id INT,
metric0 INT)
I'd create a tiering table that looks something like: (tierplan allows for multiple groupings. If a tier_id has no parent to roll up under, then tierparent_id is NULL This alllows for recursion in the query.)
CREATE TABLE tiers (
tierplan_id INT,
tier_id INT,
tierparent_id INT)
Finally, I'd create a table that relates tiers and Activities something like:
CREATE TABLE ActivTiers (
Activplan_id INT, --id on the table
tierplan_id INT, --tells what tierplan the raw_data falls under
rawdata_id INT) --this allows the ActivityId to be payload instead of identifier.
Queries off of this ought to be "not too difficult."
I have database table that I am after some SQL for (Which is defeating me so far!)
Imagine there are 192 Athletic Clubs who all take part in 12 Track Meets per season.
So that is 2304 individual performances per season (for example in the 100Metres)
I would like to find the top 48 (unique) individual performances from the table, these 48 athletes are then going to take part in the end of season World Championships.
So imagine the 2 fastest times are both set by "John Smith", but he can only be entered once in the world champs. So i would then look for the next fastest time not set by "John Smith"... so on and so until I have 48 unique athletes..
hope that makes sense.
thanks in advance if anyone can help
PS
I did have a nice screen shot created that would explain it much better. but as a newish user i cannot post images.
I'll try a copy and paste version instead...
ID AthleteName AthleteID Time
1 Josh Lewis 3 11.99
2 Joe Dundee 4 11.31
3 Mark Danes 5 13.44
4 Josh Lewis 3 13.12
5 John Smith 1 11.12
6 John Smith 1 12.18
7 John Smith 1 11.22
8 Adam Bennett 6 11.33
9 Ronny Bower 7 12.88
10 John Smith 1 13.49
11 Adam Bennett 6 12.55
12 Mark Danes 5 12.12
13 Carl Tompkins 2 13.11
14 Joe Dundee 4 11.28
15 Ronny Bower 7 12.14
16 Carl Tompkin 2 11.88
17 Nigel Downs 8 14.14
18 Nigel Downs 8 12.19
Top 4 unique individual performances
1 John Smith 1 11.12
3 Joe Dundee 4 11.28
5 Adam Bennett 6 11.33
6 Carl Tompkins 2 11.88
Basically something like this:
select top 48 *
from (
select athleteId,min(time) as bestTime
from theRaces
where raceId = '123' -- e.g., 123=100 meters
group by athleteId
) x
order by bestTime
try this --
select x.ID, x.AthleteName , x.AthleteID , x.Time
(
select rownum tr_count,v.AthleteID AthleteID, v.AthleteName AthleteName, v.Time Time,v.id id
from
(
select
tr1.AthleteName AthleteName, tr1.Time time,min(tr1.id) id, tr1.AthleteID AthleteID
from theRaces tr1
where time =
(select min(time) from theRaces tr2 where tr2.athleteId = tr1.athleteId)
group by tr1.AthleteName, tr1.AthleteID, tr1.Time
having tr1.Time = ( select min(tr2.time) from theRaces tr2 where tr1.AthleteID =tr2.AthleteID)
order by tr1.time
) v
) x
where x.tr_count < 48