Hibernate criteria left join with query - sql

I have two classes Apartment and AdditionalSpace representing tables as below.
Apartment table
ID AREA SOLD
---- ------ ----
1 100 1
2 200 0
AdditionalSpace table
ID AREA APARTMENTID
---- ------ -----------
10 10 1
11 10 1
12 10 1
20 20 2
21 20 2
As you can see Apartment's table has a one-to-many relation with AdditionalSpace table, i.e. Apartment.ID=AdditionalSpace.APARTMENTID.
Question:- How to retrieve total area of a sold apartment including its additional space area.
The SQL which I have used so far to retrieve similar result is :-
select sum(apt.area + ads.adsarea) from apartment apt left outer join (select sum(area) as adsarea, apartmentid from additionalspace group by apartmentid) ads on ads.apartmentid=apt.id where apt.sold=1
I am struggling to find a way in order to implement the above scenario via criteria instead of SQL/HQL. Please suggest. Thanks.

I don't think this is possible in criteria. The closest I can see is to simply get the size of the apartment and the sum of the additional areas as two columns in your result, like this:
Criteria criteria = session.createCriteria(Apartment.class,"a");
criteria.createAlias("additionalSpaces", "ads");
criteria.setProjection(Projections.projectionList()
.add(Projections.property("area"))
.add(Projections.groupProperty("a.id"))
.add(Projections.sum("ads.area")));
Alternatively, if you still want to use Hibernate but are happy to write it in HQL, you can do the following:
select ads.apartment.id,max(a.area)+sum(ads.area)
from Apartment a
join a.additionalSpaces ads
group by ads.apartment.id
This works because HQL allows you to write the + to add together the two projections, but I don't know that an analogous method exists on the projections api.

Related

DB2 Select from two tables when one table requires sum

In a DB2 Database, I want to do the following simple mathematics using a SQL query:
AvailableStock = SupplyStock - DemandStock
SupplyStock is stored in 1 table in 1 row, let's call this table the Supply table.
So the Supply table has this data:
ProductID | SupplyStock
---------------------
109 10
244 7 edit: exclude this product from the search
DemandStock is stored in a separate table Demand, where demand is logged as each customer logs demand during a customer order journey. Example data from the Demand table:
ProductID | DemandStock
------------------------
109 1
244 4 edit: exclude this product
109 6
109 2
So in our heads, if I want to calculate the AvailableStock for product '109', Supply is 10, Demand for product 109 totals to 9, and so Available stock is 1.
How do I do this in one select query in DB2 SQL?
The knowledge I have so far of some of the imagined steps in PseudoCode:
I select SupplyStock where product ID = '109'
I select sum(DemandStock) where product ID = '109'
I subtract SupplyStock from DemandStock
I present this as a resulting AvailableStock
The results will look like this:
Product ID | AvailableStock
109 9
I'd love to get this selected in one SQL select query.
Edit: I've since received an answer (that was almost perfect) and realised the question missed out some information.
This information:
We need to exclude data from products we don't want to select data for, and we also need to specifically select product 109.
My apologies, this was omitted from the original question.
I've since added a 'where' to select the product and this works for me. But for future sake, perhaps the answer should include this information too.
You do this using a join to bring the tables together and group by to aggregate the results of the join:
select s.ProductId, s.SupplyStock, sum(d.DemandStock),
(s.SupplyStock - sum(d.DemandStock)) as Available
from Supply s left join
Demand d
on s.ProductId = d.ProductId
where s.ProductId = 109
group by s.ProductId, s.SupplyStock;

SSRS query and WHERE with multiple

Being new with SQL and SSRS and can do many things already, but I think I must be missing some basics and therefore bang my head on the wall all the time.
A report that is almost working, needs to have more results in it, based on conditions.
My working query so far is like this:
SELECT projects.project_number, project_phases.project_phase_id, project_phases.project_phase_number, project_phases.project_phase_header, project_phase_expensegroups.projectphase_expense_total, invoicerows.invoicerow_total
FROM projects INNER JOIN
project_phases ON projects.project_id = project_phases.project_id
LEFT OUTER JOIN
project_phase_expensegroups ON project_phases.project_phase_id = project_phase_expensegroups.project_phase_id
LEFT OUTER JOIN
invoicerows ON project_phases.project_phase_id = invoicerows.project_phase_id
WHERE ( projects.project_number = #iProjectNumber )
AND
( project_phase_expensegroups.projectphase_expense_total >0 )
The parameter is for selectionlist that is used to choose a project to the report.
How to have also records that have
( project_phase_expensegroups.projectphase_expense_total ) with value 0 but there might be invoices for that project phase?
Tried already to add another condition like this:
WHERE ( projects.project_number = #iProjectNumber )
AND
( project_phase_expensegroups.projectphase_expense_total > 0 )
OR
( invoicerows.invoicerow_total > 0 )
but while it gives some results - also the one with projectphase_expense_total with value 0, but the report is total mess.
So my question is: what am I doing wrong here?
There is a core problem with your query in that you are left joining to two tables, implying that rows may not exist, but then putting conditions on those tables, which will eliminate NULLs. That means your query is internally inconsistent as is.
The next problem is that you're joining two tables to project_phases that both may have multiple rows. Since these data are not related to each other (as proven by the fact that you have no join condition between project_phase_expensegroups and invoicerows, your query is not going to work correctly. For example, given a list of people, a list of those people's favorite foods, and a list of their favorite colors like so:
People
Person
------
Joe
Mary
FavoriteFoods
Person Food
------ ---------
Joe Broccoli
Joe Bananas
Mary Chocolate
Mary Cake
FavoriteColors
Person Color
------ ----------
Joe Red
Joe Blue
Mary Periwinkle
Mary Fuchsia
When you join these with links between Person <-> Food and Person <-> Color, you'll get a result like this:
Person Food Color
------ --------- ----------
Joe Broccoli Red
Joe Bananas Red
Joe Broccoli Blue
Joe Bananas Blue
Mary Chocolate Periwinkle
Mary Chocolate Fuchsia
Mary Cake Periwinkle
Mary Cake Fuchsia
This is essentially a cross-join, also known as a Cartesian product, between the Foods and the Colors, because they have a many-to-one relationship with each person, but no relationship with each other.
There are a few ways to deal with this in the report.
Create ExpenseGroup and InvoiceRow subreports, that are called from the main report by a combination of project_id and project_phase_id parameters.
Summarize one or the other set of data into a single value. For example, you could sum the invoice rows. Or, you could concatenate the expense groups into a single string separated by commas.
Some notes:
Please, please format your query before posting it in a question. It is almost impossible to read when not formatted. It seems pretty clear that you're using a GUI to create the query, but do us the favor of not having to format it ourselves just to help you
While formatting, please use aliases, Don't use full table names. It just makes the query that much harder to understand.
You need an extra parentheses in your where clause in order to get the logic right.
WHERE ( projects.project_number = #iProjectNumber )
AND (
(project_phase_expensegroups.projectphase_expense_total > 0)
OR
(invoicerows.invoicerow_total > 0)
)
Also, you're using a column in your WHERE clause from a table that is left joined without checking for NULLs. That basically makes it a (slow) inner join. If you want to include rows that don't match from that table you also need to check for NULL. Any other comparison besides IS NULL will always be false for NULL values. See this page for more information about SQL's three value predicate logic: http://www.firstsql.com/idefend3.htm
To keep your LEFT JOINs working as you intended you would need to do this:
WHERE ( projects.project_number = #iProjectNumber )
AND (
project_phase_expensegroups.projectphase_expense_total > 0
OR project_phase_expensegroups.project_phase_id IS NULL
OR invoicerows.invoicerow_total > 0
OR invoicerows.project_phase_id IS NULL
)
I found the solution and it was kind easy after all. I changed the only the second LEFT OUTER JOIN to INNER JOIN and left away condition where the query got only results over zero. Also I used SELECT DISTINCT
Now my report is working perfectly.

Selecting rows using multiple LIKE conditions from a table field

I created a table out of a CSV file which is produced by an external software.
Amongst the other fields, this table contains one field called "CustomID".
Each row on this table must be linked to a customer using the content of that field.
Every customer may have one or more set of customIDs at their own discretion, as long as each sequence starts with the same prefix.
So for example:
Customer 1 may use "cust1_n" and "cstm01_n" (where n is a number)
Customer 2 may use "customer2_n"
ImportedRows
PKID CustomID Description
---- --------------- --------------------------
1 cust1_001 Something
2 cust1_002 ...
3 cstm01_000001 ...
4 customer2_00001 ...
5 cstm01_000232 ...
..
Now I have created 2 support tables as follows:
Customers
PKID Name
---- --------------------
1 Customer 1
2 Customer 2
and
CustomIDs
PKID FKCustomerID SearchPattern
---- ------------ -------------
1 1 cust1_*
2 1 cstm01_*
3 2 customer2_*
What I need to achieve is the retrieval of all rows for a given customer using all the LIKE conditions found on the CustomIDs tables for that customer.
I have failed miserably so far.
Any clues, please?
Thanks in advance.
Silver.
To use LIKE you must replace the * with % in the pattern. Different dbms use different functions for string manipulation. Let's assume there is a REPLACE function available:
SELECT ir.*
FROM ImportedRows ir
JOIN CustomIDs c ON ir.CustomID LIKE REPLACE(c.SearchPattern, '*', '%')
WHERE c.FKCustomerID = 1;

How to specify row names in MS Access 2007

I have a cross tab query and it pulls only the row name if there is data associated with it in the database. For example, if I have three types of musical instruments:
Guitar
Piano
Drums
Other
My results will show up as:
Guitar 1
Drums 2
It doesn't list Piano because there is no ID associated with Piano in the DB. I know I can specify columns in the properties menu, i.e. "1, 2, 3, 4, 5" will put columns in the DB for each, regardless of whether or not there is data to populate them.
I am looking for a similar solution for rows. Any ideas?
Also, I need NULL values to show up as 0.
Here's the actual SQL (forget the instrument example above)
TRANSFORM Count(Research.Patient_ID) AS CountOfPatient_ID
SELECT
Switch(
[Age]<22,"21 and under",
[Age]>=22 And [AGE]<=24,"Between 22 And 24",
[Age]>=25 And [AGE]<=29,"Between 25 And 29",
[Age]>=30 And [AGE]<=34,"30-34",
[Age]>=35 And [AGE]<=39,"35-39",
[Age]>=40 And [AGE]<=44,"40-44",
[Age]>44,"Over 44"
) AS Age_Range
FROM (Research
INNER JOIN (
SELECT ID, DateDiff("yyyy",DOB,Date()) AS AGE FROM Demographics
) AS Demographics ON Research.Patient_ID=Demographics.ID)
INNER JOIN [Letter Status] ON Research.Patient_ID=[Letter Status].Patient_ID
WHERE ((([Letter Status].Letter_Count)=1))
GROUP BY Demographics.AGE, [Letter Status].Letter_Count
PIVOT Research.Site In (1,2,3,4,5,6,7,8,9,10);
In short, I need all of the rows to show up regardless of whether or not there is a value (for some reason the LEFT JOIN isn't working, so if you can, please use my code to form your answer), and I also need to replace NULL values with 0.
Thanks
I believe this has to do with the way you are joining the instruments table to the IDs table. If you use a left outer join from instruments to IDs, Piano should be included. It would be helpful to see your actual tables and queries though, as your question is kind of vague.
What if you union the select with a hard coded select with one value for each age group.
select 1 as Guitar, 1 as Piano, 1 as Drums, 1 as Other
When you do the transform, each row will have a result that is +1 of the result you want.
foo barTmpCount
-------- ------------
Guitar 2
Piano 1
Drums 3
Other 1
You can then do a
select foo, barTmpCount - 1 as barCount from <query>
and get something like this
foo barCount
-------- ---------
Guitar 1
Piano 0
Drums 2
Other 0

Use Access SQL to do a grouped ranking

How do I rank salespeople by # customers grouped by department (with ties included)?
For example, given this table, I want to create the Rank column on the right. How should I do this in Access?
SalesPerson Dept #Customers Rank
Bill DeptA 20 1
Ted DeptA 30 2
Jane DeptA 40 3
Bill DeptB 50 1
Mary DeptB 60 2
I already know how to do a simple ranking with this SQL code. But I don't know how to rework this to accept grouping.
Select Count(*) from [Tbl] Where [#Customers] < [Tblx]![#Customers] )+1
Also, there's plenty of answers for this using SQL Server's Rank() function, but I need to do this in Access. Suggestions, please?
SELECT *, (select count(*) from tbl as tbl2 where
tbl.customers > tbl2.customers and tbl.dept = tbl2.dept) + 1 as rank from tbl
Just add the dept field to the subquery...
Great solution with subquery! Except for huge recordsets, the subquery solution gets very slow. Its better(quicker) to use a Self JOIN, look at the folowing solution: self join
SELECT tbl1.SalesPerson , count(*) AS Rank
FROM tbl AS tbl1 INNER JOIN tbl AS tbl2 ON tbl1.DEPT = tbl2.DEPT
AND tbl1.#Customers < tbl2.#Customers
GROUP BY tbl1.SalesPerson
I know this is an old thread. But since I spent a great deal of time on a very similar problem and was greatly helped by the former answers given here, I would like to share what I have found to be a MUCH faster way. (Beware, it is more complicated.)
First make another table called "Individualizer". This will have one field containing a list of numbers 1 through the-highest-rank-that-you-need.
Next create a VBA module and paste this into it:
'Global Declarations Section.
Option Explicit
Global Cntr
'*************************************************************
' Function: Qcntr()
'
' Purpose: This function will increment and return a dynamic
' counter. This function should be called from a query.
'*************************************************************
Function QCntr(x) As Long
Cntr = Cntr + 1
QCntr = Cntr
End Function
'**************************************************************
' Function: SetToZero()
'
' Purpose: This function will reset the global Cntr to 0. This
' function should be called each time before running a query
' containing the Qcntr() function.
'**************************************************************
Function SetToZero()
Cntr = 0
End Function
Save it as Module1.
Next, create Query1 like this:
SELECT Table1.Dept, Count(Table1.Salesperson) AS CountOfSalesperson
FROM Table1
GROUP BY Table1.Dept;
Create a MakeTable query called Query2 like this:
SELECT SetToZero() AS Expr1, QCntr([ID]) AS Rank, Query1.Dept,
Query1.CountOfSalesperson, Individualizer.ID
INTO Qtable1
FROM Query1
INNER JOIN Individualizer
ON Query1.CountOfSalesperson >= Individualizer.ID;
Create another MakeTable query called Query3 like this:
SELECT SetToZero() AS Expr1, QCntr([Identifier]) AS Rank,
[Salesperson] & [Dept] & [#Customers] AS Identifier, Table1.Salesperson,
Table1.Dept, Table1.[#Customers]
INTO Qtable2
FROM Table1;
If you have another field already that uniquely identifies every row you wouldn't need to create an Identifier field.
Run Query2 and Query3 to create the tables.
Create a fourth query called Query4 like this:
SELECT Qtable2.Salesperson, Qtable2.Dept, Qtable2.[#Customers], Qtable1.ID AS Rank
FROM Qtable1
INNER JOIN Qtable2 ON Qtable1.Rank = Qtable2.Rank;
Query4 returns the result you are looking for.
Practically, you would want to write a VBA function to run Query2 and Query3 and then call that function from a button placed in a convenient location.
Now I know this sounds ridiculously complicated for the example you gave. But in real life, I am sure your table is more complicated than this. Hopefully my examples can be applied to your actual situation. In my database with over 12,000 records this method is by FAR the fastest (as in: 6 seconds with 12,000 records compared to over 1 minute with 262 records ranked with the subquery method).
The real secret for me was the MakeTable query because this ranking method is useless unless you immediately output the results to a table. But, this does limit the situations that it can be applied to.
P.S. I forgot to mention that in my database I was not pulling results directly from a table. The records had already gone through a string of queries and multiple calculations before they needed to be ranked. This probably contributed greatly to the huge difference in speed between the two methods in my situation. If you are pulling records directly from a table, you might not notice nearly as big an improvement.
You need to do some math. I typically take advantage of the combination of a counter field and an "offset" field. You're aiming for a table which looks like this (#Customers isn't necessary, but will give you a visual that you're doing it properly):
SalesPerson Dept #Customers Ctr Offset
Bill DeptA 20 1 1
Ted DeptA 30 2 1
Jane DeptA 40 3 1
Bill DeptB 50 4 4
Mary DeptB 60 5 4
So, to give rank, you'd do [Ctr]-[Offset]+1 AS Rank
build a table with SalesPerson, Dept, Ctr, and Offset
insert into that table, ordered by Dept and #Customers (so that they're all sorted properly)
Update Offset to be the MIN(Ctr), grouping on Dept
Perform your math calculation to determine Rank
Clear out the table so you're ready to use it again next time.
To add to this and any other related Access Ranking or Rank Tie Breaker how-tos for other versions of Access, ranking should not be performed on crosstab queries if your FROM clause happens to NOT contain a table but a query that is either a crosstab query or a query that contains within it elsewhere a crosstab query.
The code referenced above where a SELECT statement within a SELECT statment is used (sub query),
"SELECT *, (select count(*) from tbl as tbl2 where tbl.customers > tbl2.customers and tbl.dept = tbl2.dept) + 1 as rank from tbl"
will not work and will always fail expressing a error on portion of the code where "tbl.customers > tbl2.customers" cannot be found.
In my situation on a past project, I was referencing a query instead of a table and within that query I had referenced a crosstab query thus failing and producing an error. I was able to resolve this by creating a table from the crosstab query first, and when I referenced the newly created table in the FROM clause, it started working for me.
So in final, normally you can reference a query or table in the FROM clause of the SELECT statement as what was shared previously above to do ranking, but be carefull as to if you are referencing a query instead of a table, that query must Not be a crosstab query or reference another query that is a crosstab query.
Hope this helps anyone else that may have had problems looking for a possible reason if you happen to reference the statements above and you are not referencing a table in your FROM clause within your own project. Also, performing subqueries on aliases with crosstab queries in Access probably isn't good idea or best practice either so stray away from that if/when possible.
If you found this useful, and wish that Access would allow the use of a scrolling mouse in a passthru query editor, give me a like please.
I normally pick tips and ideas from here and sometimes end up building amazing things from it!
Today, (well let’s say for the past one week), I have been tinkering with Ranking of data in Access and to the best of my ability, I did not anticipate what I was going to do something so complex as to take me a week to figure it out! I picked titbits from two main sites:
https://usefulgyaan.wordpress.com/2013/04/23/ranking-in-ms-access/ (seen that clever ‘>=’ part, and the self joins? Amazing… it helped me to build my solution from just one query, as opposed to the complex method suggested above by asonoftheMighty (not discrediting you… just didn’t want to try it for now; may be when I get to large data I might want to try that as well…)
Right here, from Paul Abott above ( ‘and tbl.dept = tbl2.dept’)… I was lost after ranking because I was placing AND YearID = 1, etc, then the ranking would end up happening only for sub-sets, you guessed right, when YearID = 1! But I had a lot of different scenarios…
Well, I gave that story partly to thank the contributors mentioned, because what I did is to me one of the most complex of the ranking that I think can help you in almost any situation, and since I benefited from others, I would like to share here what I hope may benefit others as well.
Forgive me that I am not able to post my table structures here, it is a lot of related tables. I will only post the query, so if you need to you may develop your tables to end up with that kind of query. But here is my scenario:
You have students in a school. They go through class 1 to 4, can either be in stream A or B, or none when the class is too small. They each take 4 exams (this part is not important now), so you get the total score for my case. That’s it. Huh??
Ok. Lets rank them this way:
We want to know the ranking of
• all students who ever passed through this school (best ever student)
• all students in a particular academic year (student of the year)
• students of a particular class (but remember a student will have passed through all classes, so basically his/her rank in each of those classes for the different years) this is the usual ranking that appears in report cards
• students in their streams (above comment applies)
• I would also like to know the population against which we ranked this student in each category
… all in one table/query. Now you get the point?
(I normally like to do as much of my 'programming' in the database/queries to give me visuals and to reduce the amount of code I will later have to right. I actually won't use this query in my application :), but it let's me know where and how to send my parameters to the query it came from, and what results to expect in my rdlc)
Don't you worry, here it is:
SELECT Sc.StudentID, Sc.StudentName, Sc.Mark,
(SELECT COUNT(Sch.Mark) FROM [StudentScoreRankTermQ] AS Sch WHERE (Sch.Mark >= Sc.Mark)) AS SchoolRank,
(SELECT Count(s.StudentID) FROM StudentScoreRankTermQ AS s) As SchoolTotal,
(SELECT COUNT(Yr.Mark) FROM [StudentScoreRankTermQ] AS Yr WHERE (Yr.Mark >= Sc.Mark) AND (Yr.YearID = Sc.YearID) ) AS YearRank,
(SELECT COUNT(StudentID) FROM StudentScoreRankTermQ AS Yt WHERE (Yt.YearID = Sc.YearID) ) AS YearTotal,
(SELECT COUNT(Cl.Mark) FROM [StudentScoreRankTermQ] AS Cl WHERE (Cl.Mark >= Sc.Mark) AND (Cl.YearID = Sc.YearID) AND (Cl.TermID = Sc.TermID) AND (Cl.ClassID=Sc.ClassID)) AS ClassRank,
(SELECT COUNT(StudentID) FROM StudentScoreRankTermQ AS C WHERE (C.YearID = Sc.YearID) AND (C.TermID = Sc.TermID) AND (C.ClassID = Sc.ClassID) ) AS ClassTotal,
(SELECT COUNT(Str.Mark) FROM [StudentScoreRankTermQ] AS Str WHERE (Str.Mark >= Sc.Mark) AND (Str.YearID = Sc.YearID) AND (Str.TermID = Sc.TermID) AND (Str.ClassID=Sc.ClassID) AND (Str.StreamID = Sc.StreamID) ) AS StreamRank,
(SELECT COUNT(StudentID) FROM StudentScoreRankTermQ AS St WHERE (St.YearID = Sc.YearID) AND (St.TermID = Sc.TermID) AND (St.ClassID = Sc.ClassID) AND (St.StreamID = Sc.StreamID) ) AS StreamTotal,
Sc.CalendarYear, Sc.Term, Sc.ClassNo, Sc.Stream, Sc.StreamID, Sc.YearID, Sc.TermID, Sc.ClassID
FROM StudentScoreRankTermQ AS Sc
ORDER BY Sc.Mark DESC;
You should get something like this:
+-----------+-------------+------+------------+-------------+----------+-----------+-----------+------------+------------+-------------+------+------+-------+--------+
| StudentID | StudentName | Mark | SchoolRank | SchoolTotal | YearRank | YearTotal | ClassRank | ClassTotal | StreamRank | StreamTotal | Year | Term | Class | Stream |
+-----------+-------------+------+------------+-------------+----------+-----------+-----------+------------+------------+-------------+------+------+-------+--------+
| 1 | Jane | 200 | 1 | 20 | 2 | 12 | 1 | 9 | 1 | 5 | 2017 | I | 2 | A |
| 2 | Tom | 199 | 2 | 20 | 1 | 12 | 3 | 9 | 1 | 4 | 2016 | I | 1 | B |
+-----------+-------------+------+------------+-------------+----------+-----------+-----------+------------+------------+-------------+------+------+-------+--------+
Use the separators | to reconstruct the result table
Just an idea about the tables, each student will be related to a class. Each class relates to years. Each stream relates to a class. Each term relates to a year. Each exam relates to a term and student and a class and a year; a student can be in class 1A in 2016 and moves on to class 2b in 2017, etc…
Let me also add that this a beta result, I have not tested it well enough and I do not yet have an opportunity to create a lot of data to see the performance. My first glance at it told me that it is good. So if you find reasons or alerts you want to point my way, please do so in comments so I may keep learning!