I have seen some close answers and I have been trying to adapt them to Access 2013, but I can't seem to get it to work. I have two queries:
First query returns
original_staff_data
Month
Year
staff_uid
staff_abbrev
employee_name
staff_salary
It pulls this from tables staff, and salary_by_month and employee_name and number_of_days_at_spec_building (this records where they check in when they work)
transaction_data_by_staff.total
Month
Year
staff_uid
total_revenue
totat_profit
this also pulls information from staff, but sums up over multiple dates in a transaction table creating a cumulative value for each staff_uid so I can't combine the two queries directly.
My problem is I want to create a query that brings results from both. However, not all staff members in Q1 will be in Q2 every day/week/month (vacations, etc) and since I want to ultimately create a final results:
Final_Result
Month
Year
staff_uid
staff_abbrev
employee_name
staff_salary
total_revenue
total_profit
The SQL:
SELECT
original_staff_data.*
, transaction_data_by_staff.total_rev
, transaction_data_by_staff.total_profit
FROM transaction_data_by_staff
RIGHT JOIN original_staff_data
ON (
transaction_data_by_staff.year = original_staff_data.year
AND transaction_data_by_staff.month = original_staff_data.month
) WHERE transaction_data_by_staff.[staff_uid] = [original_staff_data].[staff_uid];
I would like it if there is no revenue or profit that month from that employee, it makes those values 0. I have tried join (specifically RIGHT join with Q1 as the RIGHT join) and it doesn't seem to work, I still only get the subset. There are originally in the original_staff_data query 750 entries so therefore there should be in the final query 750 entries, I am only getting 252, which is the total in transaction_data_by_staff. Any clue on how the ACCESS 2013 SQL should look?
Thanks
Jon
Move the link by stuff_uid to the ON clause, like this:
SELECT original_staff_data.*, transaction_data_by_staff.total_rev, transaction_data_by_staff.total_profit
FROM transaction_data_by_staff RIGHT JOIN original_staff_data ON (transaction_data_by_staff.year = original_staff_data.year) AND (transaction_data_by_staff.month = original_staff_data.month)
AND (((transaction_data_by_staff.[staff_uid])=[original_staff_data].[staff_uid]));
Related
I have the following tables and their fields
They ask me for a query that seems to me quite complex, I have been going around for two days and trying things, it says:
It is desired to obtain the average age of female athletes, medal winners (gold, silver or bronze), for the different modalities of 'Artistic Gymnastics'. Analyze the possible contents of the result field in order to return only the expected values, even when there is no data of any specific value for the set of records displayed by the query. Specifically, we want to show the gender indicator of the athletes, the medal obtained, and the average age of these athletes. The age will be calculated by subtracting from the system date (SYSDATE), the date of birth of the athlete, dividing said value by 365. In order to avoid showing decimals, truncate (TRUNC) the result of the calculation of age. Order the results by the average age of the athletes.
Well right now I have this:
select person.gender,score.score
from person,athlete,score,competition,sport
where person.idperson = athlete.idathlete and
athlete.idathlete= score.idathlete and
competition.idsport = sport.idsport and
person.gender='F' and competition.idsport=18 and score.score in
('Gold','Silver','Bronze')
group by
person.gender,
score.score;
And I got this out
By adding the person.birthdate field instead of leaving 18 records of the 18 people who have a medal, I'm going to many more records.
Apart from that, I still have to draw the average age with SYSDATE and TRUNC that I try in many ways but I do not get it.
I see it very complicated or I'm a bit saturated from so much spinning, I need some help.
Reading the task you got, it seems that you're quite close to the solution. Have a look at the following query and its explanation, note the differences from your query, see if it helps.
select p.gender,
((sysdate - p.birthday) / 365) age,
s.score
from person p join athlete a on a.idathlete = p.idperson
left join score s on s.idathlete = a.idathlete
left join competition c on c.idcompetition = s.idcompetition
where p.gender = 'F'
and s.score in ('Gold', 'Silver', 'Bronze')
and c.idsport = 18
order by age;
when two dates are subtracted, the result is number of days. Dividing it by 365, you - roughly - get number of years (as each year has 365 days - that's for simplicity, of course, as not all years have that many days (hint: leap years)). The result is usually a decimal number, e.g. 23.912874918724. In order to avoid that, you were told to remove decimals, so - use TRUNC and get 23 as the result
although data model contains 5 tables, you don't have to use all of them in a query. Maybe the best approach is to go step-by-step. The first one would be to simply select all female athletes and calculate their age:
select p.gender,
((sysdate - p.birthday) / 365 age
from person p
where p.gender = 'F'
Note that I've used a table alias - I'd suggest you to use them too, as they make queries easier to read (table names can have really long names which don't help in readability). Also, always use table aliases to avoid confusion (which column belongs to which table)
Once you're satisfied with that result, move on to another table - athlete It is here just as a joining mechanism with the score table that contains ... well, scores. Note that I've used outer join for the score table because not all athletes have won the medal. I presume that this is what the task you've been given says:
... even when there is no data of any specific value for the set of records displayed by the query.
It is suggested that we - as developers - use explicit table joins which let you to see all joins separated from filters (which should be part of the WHERE clause). So:
NO : from person p, athlete a
where a.idathlete = p.idperson
and p.gender = 'F'
YES: from person p join athlete a on a.idathlete = p.idperson
where p.gender = 'F'
Then move to yet another table, and so forth.
Test frequently, all the time - don't skip steps. Move on to another one only when you're sure that the previous step's result is correct, as - in most cases - it won't automagically fix itself.
I am create an Access database at work for our call center. Right now there are four tables:
MASTERTABLE: DisplayName, CLOCKid (PrimaryKey), PHONEid
ROSTERTABLE: CLOCKid (ForeignKey), StartDate, EndDate
PHONELOG: PHONEid, DateStamp, StatusHours
TIMECLOCK: CLOCKid, DateStamp, HoursByDay
The Mastertable has one row for each unique employee. It contains each employee's various IDs/usernames for things listed above and other items. The Rostertable contains a row for each employee's position--an employee can have multiple positions over time, indicated by StartDate and EndDate, thus multiple rows. This is so we keep a historical record we can query. The PhoneLog is fed in from our phone system. It has multiple lines per user, representing each phone status the the amount of time the user spent in the status. The TimeClock is similar; An employee will have one row per day worked.
I need to create a query in Microsoft Access 2013, preferably using SQL, that will give me the Sum of everyone's TimeClock hours within their rostertable start/end times as well as the same for their phone hours. So the resulting query will list each employee from the RosterTable, the sum of their phone time, and the sum of their paid time.
Hope this makes sense. Let me know if anyone has questions/need clarification.
SELECT MT.DisplayName, Sum(PL.StatusHours) as PhoneHours, Sum(TC.HoursByDay) as PaidTime
FROM MASTERTABLE MT
INNER JOIN ROSTERTABLE RT
ON MT.ClockID = RT.ClockID
LEFT JOIN PHONELOG PL
ON MT.PhoneID = PL.PhoneID
LEFT JOIN TIMECLOCK TC
ON MT.ClockID = TC.ClockID
WHERE RT.StartDate >= YourStartDate
AND RT.EndDate =< YourEndDate
You just have to define YourStartDate and YourEndDate, which could be text boxes on a form or input boxes in a query, or even inner joined from another table.
I have a challenge which I can't seem to resolve on my own and now need help!
I have a requirement to show parallel year date sales via SQL and by that I mean if today (20/08/2015) Customer A has purchased products worth 500, I want to know how much Customer A spent on the same day last year (so 20/08/2014).
Here's a SQL fiddle where I've built everything (I reckoned that would be easiest for you guys). I have 3 dimensions (DimProduct, DimDate and DimCustomer), a fact table (FactSales) and a view (VW_ParallelSales) which I've built on top. I have also left a query on the right hand side with what I'm trying to achieve. If you run the query you will see that for Antonio, the SaleAmount on 20140820 was 3500 and if you look at the very bottom of the table, you can see there's one more record for Antonio in the fact table on 20150820 for 6500. So esentially, what I want is to have that 3500 which was sold on 20140820 (which is the parallel year date of 20150820) under the column ParallelSales (which at the moment is showing as NULL).
It all works like a charm if I don't include the ProductKey in the view and have just the CustomerKey (see this fiddle). However, as soon as I add the Product Key, because there is no exact match of CustomerKey-ProductKey that has happened in the past, I'm getting NULLS for ParallelSales (or at least that's what I think the reason is).
What I want to be able to do is then use the view and join on both DimCustomer and DimProduct and run queries both ways, i.e.:
Query 1: How much did Customer A spend today vs today last year?
Query 2: How much of Product A did we sell today vs today last year?
At the moment, as is, I need to have 2 views for that - one that joins the two sub-queries in the view on CustomerKey and the other one - on ProductKey (and obviously the dates).
I know it's a lot to ask but I do need to get this to work and would appreciate your help immensely! Thanks :)
For customer sales in diferent years.
SQL Fiddle Demo
SELECT DimCustomer.CustomerName,
VW_Current.Saledate,
VW_Current.ParallelDate,
VW_Current.CurrentSales,
VW_Previous.CurrentSales as ParallelSale
FROM DimCustomer
INNER JOIN VW_ParallelSales VW_Current
ON DimCustomer.CustomerKey = VW_Current.CustomerKey
LEFT JOIN VW_ParallelSales VW_Previous
ON VW_Current.ParallelDate = VW_Previous.Saledate
AND DimCustomer.CustomerKey = VW_Previous.CustomerKey
ORDER BY 1, 2
For productkey
SQL Fiddle Demo
With sales as (
SELECT
DimProduct.ProductKey,
DimProduct.ProductName,
VW_ParallelSales.Saledate,
VW_ParallelSales.ParallelDate,
VW_ParallelSales.CurrentSales,
VW_ParallelSales.ParallelSales
FROM DimProduct INNER JOIN VW_ParallelSales ON DimProduct.ProductKey =
VW_ParallelSales.ProductKey
)
SELECT
s_recent.ProductName,
s_recent.Saledate ThisYear,
s_old.Saledate PreviousYear,
s_recent.CurrentSales CurrentSales,
s_old.CurrentSales ParallelSales
FROM
SALES s_recent
left outer join SALES s_old
on s_recent.saledate = s_old.saledate + 10000
and s_recent.ProductKey = s_old.ProductKey
I have a query that I'm trying to perform below. However, being unable to test my query, I am unsure of my result.
The donors who have donated at least $10,000 since January 1, 2010 (donor ID, name, total
gifts).
SELECT donor_id,
donor_name,
SUM (amount) AS total_gifts_since_2010
FROM donor
JOIN gift
USING (donor_id)
JOIN gift_fund_allocation
USING (gift_id)
JOIN fund
USING (fund_id)
WHERE gift_date >= ‘01/01/2010'
GROUP BY (donor_id, donor_name)
HAVING total_gifts_since_2010 >= 10000;
Either one of two things will happen:
What I want it to do, which is only adds amounts after 2010.
Not what I want it to do, which is add all the amounts, but only
select/display the ones after 2010.
So my question would be something like this: Does the entire query happen instruction-by-instruction, or does the WHERE clause have an immediate effect on the query?
1) WHERE should precede GROUP BY (in the statement)
2) The sequence is following: JOIN - WHERE - GROUP BY - SELECT list
Edited
I am running into an error and I know what is happening but I can't see what is causing it. Below is the sql code I am using. Basically I am getting the general results I want, however I am not accurately giving the query the correct 'where' clause.
If this is of any assistance. The count is coming out as this:
Total Tier
1 High
2 Low
There are 4 records in the Enrollment table. 3 are active, and 1 is not. Only 2 of the records should be displayed. 1 for High, and 1 for low. The second Low record that is in the total was flagged as 'inactive' on 12/30/2010 and reflagged again on 1/12/2011 so it should not be in the results. I changed the initial '<=' to '=' and the results stayed the same.
I need to exclude any record from Enrollments_Status_Change that where the "active_status" was changed to 0 before the date.
SELECT COUNT(dbo.Enrollments.Customer_ID) AS Total,
dbo.Phone_Tier.Tier
FROM dbo.Phone_Tier as p
JOIN dbo.Enrollments as eON p.Phone_Model = e.Phone_Model
WHERE (e.Customer_ID NOT IN
(Select Customer_ID
From dbo.Enrollment_Status_Change as Status
Where (Change_Date >'12/31/2010')))
GROUP BY dbo.Phone_Tier.Tier
Thanks for any assistance and I apologize for any confusion. This is my first time here and i'm trying to correct my etiquette on the fly.
If you don't want any of the fields from that table dbo.Enrollment_Status_Change, and you don't seem to use it in any way — why even include it in the JOINs? Just leave it out.
Plus: start using table aliases. This is very hard to read if you use the full table name in each JOIN condition and WHERE clause.
Your code should be:
SELECT
COUNT(e.Customer_ID) AS Total, p.Tier
FROM
dbo.Phone_Tier p
INNER JOIN
dbo.Enrollments e ON p.Phone_Model = e.Phone_Model
WHERE
e.Active_Status = 1
AND EXISTS (SELECT DISTINCT Customer_ID
FROM dbo.Enrollment_Status_Change AS Status
WHERE (Change_Date <= '12/31/2010'))
GROUP BY
p.Tier
Also: most likely, your EXISTS check is wrong — since you didn't post your table structures, I can only guess — but my guess would be:
AND EXISTS (SELECT * FROM dbo.Enrollment_Status_Change
WHERE Change_Date <= '12/31/2010' AND CustomerID = e.CustomerID)
Check for existence of any entries in dbo.Enrollment_Status_Change for the customer defined by e.CustomerID, with a Change_Date before that cut-off date. Right?
Assuming you want to:
exclude all customers whose latest enrollment_status_change record was since the start of 2011
but
include all customers whose latest enrollment_status_change record was earlier than the end of 2010 (why else would you have put that EXISTS clause in?)
Then this should do it:
SELECT COUNT(e.Customer_ID) AS Total,
p.Tier
FROM dbo.Phone_Tier p
JOIN dbo.Enrollments e ON p.Phone_Model = e.Phone_Model
WHERE dbo.Enrollments.Active_Status = 1
AND e.Customer_ID NOT IN (
SELECT Customer_ID
FROM dbo.Enrollment_Status_Change status
WHERE (Change_Date >= '2011-01-01')
)
GROUP BY p.Tier
Basically, the problem with your code is that joining a one-to-many table will always increase the row count. If you wanted to exclude all the records that had a matching row in the other table this would be fine -- you could just use a LEFT JOIN and then set a WHERE clause like Customer_ID IS NULL.
But because you want to exclude a subset of the enrollment_status_change table, you must use a subquery.
Your intention is not clear from the example given, but if you wanted to exclude anyone who's enrollment_status_change as before 2011, but include those who's status change was since 2011, you'd just swap the date comparator for <.
Is this any help?