How to join with one column a string and one an integer?
--PEOPLE_ID 000092437, PersonID 92437
select PC.PEOPLE_ID, Idn.PersonId,'Home Row 1', PC.Phone1 from #NextIdentityID Idn INNER JOIN PEOPLECHANGES PC on Idn.People_ID = PC.People_ID --PEOPLE_ID 000092437, PersonID 92437 one is varchar, one is integer
union all select PC.PEOPLE_ID, Idn.PersonId,'Office Row 2', PC.Phone2 from #NextIdentityID Idn INNER JOIN PEOPLECHANGES PC on Idn.People_ID = PC.People_ID
union all select PC.PEOPLE_ID, Idn.PersonId,'Cell Row 3', PC.Phone3 from #NextIdentityID Idn INNER JOIN PEOPLECHANGES PC on Idn.People_ID = PC.People_ID
To make sure your varchar() data doesn't raise any errors you should check to see if it can be converted into an integer. One way to do this is with a case statement in the where clause. If it is not convertible then your join won't work - but at least your query can still run with out error.
This example shows how you can avoid potential errors.
create table #tempa(id int, descr varchar(50));
create table #tempb(id varchar(10), descr varchar(50));
insert into #tempa(id,descr) values (1234,'Body getta body getta');
insert into #tempb(id,descr) values ('001234','sis boom ba - rah rah rah');
insert into #tempa(id,descr) values (5678,'Weagle Weagle War Damn Eagle');
insert into #tempb(id,descr) values ('0005678','Kickem in the butt Big blue');
insert into #tempa(id,descr) values (9012,'this wont have a match');
insert into #tempb(id,descr) values ('x0912','sis boom ba');
Select a.id as a_id, b.id as b_id
,a.descr as a_descr, b.descr as b_descr
from #tempa a
left join #tempb b
on a.id = case when isnumeric(b.id) = 1 then cast(b.id as int) else 0 end
-- this one will raise an error
Select a.id as a_id, b.id as b_id
,a.descr as a_descr, b.descr as b_descr
from #tempa a
left join #tempb b
on a.id = b.id
drop table #tempa;
drop table #tempb;
If you convert the one with leading zeros to an integer you will get equal values:
SELECT CONVERT(INT, '000092437') = 92437
However, this assumes that all of your varchar column can be convert to int.
If that's not the case then you have to write a function to go the other way and add leading zeros.
Related
Need some help working out the SQL. Unfortunately the version of tsql is SybaseASE which I'm not too familiar with, in MS SQL I would use a windowed function like RANK() or ROW_NUMBER() in a subquery and join to those results ...
Here's what I'm trying to resolve
TABLE A
Id
1
2
3
TABLE B
Id,Type
1,A
1,B
1,C
2,A
2,B
3,A
3,C
4,B
4,C
I would like to return 1 row for each ID and if the ID has a type 'A' record that should display, if it has a different type then it doesn't matter but it cannot be null (can do some arbitrary ordering, like alpha to prioritize "other" return value types)
Results:
1, A
2, A
3, A
4, B
A regular left join (ON A.id = B.id and B.type = 'A') ALMOST returns what I am looking for however it returns null for the type when I want the 'next available' type.
You can use a INNER JOIN on a SubQuery (FirstTypeResult) that will return the minimum type per Id.
Eg:
SELECT TABLEA.[Id], FirstTypeResult.[Type]
FROM TABLEA
JOIN (
SELECT [Id], Min([Type]) As [Type]
FROM TABLEB
GROUP BY [Id]
) FirstTypeResult ON FirstTypeResult.[Id] = TABLEA.[Id]
I'm working on ssrs reports. I was able to see the data or result of my stored procedure.unfortunatesly, when used the same as my dataset for report I was unable to see the data instead i'm getting 0 records.what might be the reasons ?My reports structure will be as like below image :
My current result :
Below is my procedure :
ALTER Proc [dbo].[SP_Get_CIPPSubjectMarks_New_HTSTEST] -
-7,'1,17,8','2537,2555,2558,2568'
(
#ReportId int=7,
#SubjectId varchar(200),
#SectionId varchar(200)
)
AS
BEGIN
Create table #temp (Name Varchar(500),Class varchar(50),Section
Varchar(20),enrollno varchar(500),SubjectName varchar(500),TermName
varchar(500),TestName varchar(500),TestGroupName varchar(500),Weightage
int,IsWeight bit,Marks varchar(20),MaxMarks int,IsAbsent bit,SubjectOrder
Varchar(200))
Insert into
#temp(Name,Class,Section,enrollNo,SubjectName,
TermName,TestName,TestGroupName,Weightage,IsWeight,Marks,
MaxMarks,IsAbsent,SubjectOrder)
SELECT DISTINCT CONCAT(d.name,' ',d.surname),cls.Value,sec.Value,
e.enroll_no,
CASE WHEN ISNULL(cxs.subject_alias,'')='' THEN CASE WHEN rtv.value='Second
Language' then '2ND LANGUAGE:' + b.Name WHEN
rtv.value='Third Language' THEN '3rd Language:'+b.name else b.name end
ELSE cxs.subject_alias end as SubjectName,
z.str_termname,c.str_termtestname,i.str_testgroupname,
i.str_testweightage,i.is_weighted_average,a.marks,max_marks,a.is_absent,
CASE WHEN rtv.value='Second Language' THEN 'Second Language' WHEN
rtv.Value='Third Language' THEN 'Third Language' When
ISNULL(cxs.subject_alias,'')='' THEN b.Name
ELSE cxs.subject_alias end as SubOrder
FROM marks_entry_HTS a JOIN subject b ON a.fk_subject_id=b.Id and a.marks
is not null
LEFT JOIN subjectCategory_HTS l ON l.Id= b.subject_categoryID
JOIN class_term_test_mapping_HTS c ON a.fk_class_term_test_mapping_id=c.id
-- added by me
JOIN class_term_test_category_HTS ctc on c.fk_termcategoryid = ctc.id
JOIN reference_type_value rtv ON rtv.id=a.fk_subject_type_id
-- close
JOIN Term_Test_Subject_AssessmentType_HTS m ON m.fk_term_testID=c.id and
m.fk_SubjectID=b.Id
JOIN class_report_types_mapping_test_HTS k ON
k.fk_class_term_test_mapping_id=c.Id
JOIN class_term_mapping_HTS z ON z.id=k.fk_class_term_mapping_id
JOIN Term_Test_Testgroup_aggregate_HTS i ON
i.Id=c.fk_testgroup_aggregateID
JOIN TestGroup_HTS j on j.Id=i.fk_TestGroupID
JOIN student d ON a.fk_student_id=d.Id JOIN student_enroll_no e ON
e.fk_student_id=d.id and IsNULL(e.is_deleted,0)=0
JOIN student_academic f on f.fk_student_enroll_no_id=e.id and
f.fk_academic_year_id=c.fk_academic_year_id
JOIN reference_type_value cls on cls.Id=f.fk_class_id
LEFT JOIN reference_type_value sec ON sec.Id=f.fk_section_id
LEFT JOIN max_marks_entry_HTS h on h.id=a.fk_max_marks_entry_id
join class_xref_subjects cxs ON h.fk_subject_id=cxs.fk_subject_id and
cxs.fk_subject_type_id=h.fk_subject_type_id and
IsNull(cxs.is_deleted,0)=0
and cxs.fk_class_id=h.fk_class_id and
cxs.fk_academic_year_campus_id=h.fk_academic_year_campus_id and
cxs.fk_curriculum_segment_id=h.fk_curriculum_segment_id
where k.fk_class_report_types_mapping_id=#ReportId
and h.fk_section_id in (select * from SplitStringByChar(#SectionId,','))
and a.fk_subject_id in (select * from SplitStringByChar(#SubjectId,','))
select Name,Class,Section,enrollNo,SubjectName,TermName,
TestGroupName as TestName,
Case WHEN IsWeight=1 THEN Round(Cast(((avg(CAST(Marks as
float)/cast(MaxMarks as float)))*Weightage) as decimal(10,0)),0)
else Round(Cast(((cast(max(Marks) as float)/cast(max(MaxMarks) as
float))*Weightage) as decimal(10,0)),0) ENd as Marks ,
SubjectOrder ,sum(maxmarks) as maxmarksare INTO #temp1 from #temp
GROUP BY Name,Class,Section,enrollNo,SubjectName,
TermName,SubjectOrder,IsWeight,Weightage,TestGroupName
Insert into #temp
(Name,Class,Section,enrollNo,SubjectName,
TermName,TestName,Marks,SubjectOrder)
select
Name,Class,Section,enrollNo,SubjectName,TermName,'Total',
SUM(Marks),SubjectOrder from #temp1
GROUP BY Name,Class,Section,enrollNo,SubjectName,TermName,SubjectOrder
Insert into #temp
(Name,Class,SubjectName,Section,enrollNo,TermName,TestName,Marks)
select Name,Class,'Total',Section,enrollNo,TermName,'Total
Marks',SUM(Marks)
from #temp1
GROUP BY Name,Class,Section,enrollNo,TermName
Insert into #temp
(Name,Class,SubjectName,Section,enrollNo,TermName,TestName,Marks)
select
Name,Class,'Total',Section,enrollNo,TermName,'Percentage',
SUM(Marks)*100/sum(m
axmarksare) from #temp1
GROUP BY Name,Class,Section,enrollNo,TermName
select *from #temp
drop table #temp
drop table #temp1
end
My procedure result is as like below image :
As there are a number of things that could be wrong I would do the following.
Create copy of your report
Remove the existing dataset and tablix if you want.
Create some new datasets that just get the basic data (e.g. SELECT top 10 * FROM marks_emtry_HTS). Do not use your parameters yet as we just want to test we can get basic data.
Add some tables to your report to show that the data is being returned
Add a dataset to test you are passing and parsing parameters correctly by using a dataset query like select * from SplitStringByChar(#SectionId,',') and then put tablix on your report to show the results.
Try trimming your parameter values SET #SectionId = LTRIM(RTRIM(#SectionId)) to make sure you're not handling leading or trailing space incorrectly in you split function.
If any parts do not work, run a trace on the SQL Server as you run the report and look at exactly what is being executed on the server.
I know a lot of those steps you will think might be unnecessary but take the time to do it and at least you are certain and you can exclude such basic checks from your investigation.
I have two table with one of them is vertical i.e store only key value pair with ref id from table 1. i want to join both table and dispaly key value pair as a column in select. and also perform sorting on few keys.
T1 having (id,empid,dpt)
T2 having (empid,key,value)
select
T1.*,
t21.value,
t22.value,
t23.value,
t24.value
from Table1 t1
join Table2 t21 on t1.empid = t21.empid
join Table2 t22 on t1.empid = t22.empid
join Table2 t23 on t1.empid = t23.empid
where
t21.key = 'FNAME'
and t22.key = 'LNAME'
and t23.key='AGE'
The query you demonstrate is very inefficient (another join for each additional column) and also has a potential problem: if there isn't a row in T2 for every key in the WHERE clause, the whole row is excluded.
The second problem can be avoided with LEFT [OUTER] JOIN instead of [INNER] JOIN. But don't bother, the solution to the first problem is a completely different query. "Pivot" T2 using crosstab() from the additional module tablefunc:
SELECT * FROM crosstab(
'SELECT empid, key, value FROM t2 ORDER BY 1'
, $$VALUES ('FNAME'), ('LNAME'), ('AGE')$$ -- more?
) AS ct (empid int -- use *actual* data types
, fname text
, lname text
, age text);
-- more?
Then just join to T1:
select *
from t1
JOIN (<insert query from above>) AS t2 USING (empid);
This time you may want to use [INNER] JOIN.
The USING clause conveniently removes the second instance of the empid column.
Detailed instructions:
PostgreSQL Crosstab Query
I've seen a lot of post on multiple JOIN but it didn't help me in my case.
Consider that I have three tables and two cross-reference tables. That's the difference with the others posts where they had multiple tables but one cross-reference table in the FROM.
Table1 -> cross-ref1 <- table2 -> cross-ref2 <- table3
My version of Postgresql is : 9.0.11, and I'm working with W7 64 bits.
My request is the following stuff :
Select [columns] from cross-ref1, cross-ref2
INNER JOIN table1 ON table1.id_table1=cross-ref1.ref_id_table1
INNER JOIN table2 ON table2.id=cross-ref1.ref_id_table2
INNER JOIN table2 On table2.id_table2=cross-ref2.ref_id_table2
INNER JOIN table3 ON table3.id_table3=cross-ref2.ref_id_table3
The error message is : "Table name is specified more than once."
Can you explain me the error ?
Thanks
Cross-reference tables need separate columns for each side of the reference. An xref table with just one column makes no sense, as it can only refer to rows with the same ID on each side.
A typical setup would be:
CREATE TABLE a (
id integer primary key,
avalue text not null
);
CREATE TABLE b (
id integer primary key,
bvalue text not null
);
CREATE TABLE ab (
a_id integer references a(id),
b_id integer references b(id),
PRIMARY KEY(a_id, b_id)
);
Given sample data:
INSERT INTO a(id, avalue) VALUES
(1, 'a1'), (2, 'a2'), (3, 'a3'), (4, 'a4');
INSERT INTO b(id, bvalue) VALUES
(41, 'b1'), (42, 'b2'), (43, 'b3');
INSERT INTO ab(a_id, b_id) VALUES
(1, 41), (1, 42), (2, 43);
You'd find the pairings of a and b with:
SELECT avalue, bvalue
FROM a
INNER JOIN ab ON (a.id = ab.a_id)
INNER JOIN b ON (b.id = ab.b_id);
The crucial thing here is that you're joining on ab.a_id on the a side, and ab.b_id on the b side. Observe demo here: http://sqlfiddle.com/#!12/3228a/1
This is pretty much "many-to-many table relationships 101", so it might be worth doing some more study of introductory SQL and relational database tutorials and documentation.
You can't use the same table name twice (table2). In this case you need to use aliases like t1, t2a, t2b, ...
SELECT
...
FROM
table1 AS t1
INNER JOIN table2 AS t2a
ON t2a.id= ...
INNER JOIN table2 AS t2b
ON t2b.id= ...
INNER JOIN table3 AS t3
ON t3.id= ...
...
Now you can join whatever you want, how many times you want etc.
You have to explain what result you want to have. For example the following SQL is valid from syntax point of view, not sure about business point of view:
-- this will create sample data with 5 tables
with
crossref1(ref_id) as (VALUES (1),(2),(3)),
crossref2 (ref_id) as (VALUES (2),(3),(4)),
table1 (ref_id) as (VALUES (3),(4),(5)),
table2 (ref_id) as (VALUES (1),(2),(3)),
table3 (ref_id) as (VALUES (1),(2),(3))
-- valid SQL based on your example
select * from
crossref1
cross join crossref2
join table1 on table1.ref_id=crossref1.ref_id
join table2 as t2_1 on t2_1.ref_id=crossref1.ref_id
join table2 as t2_2 on t2_2.ref_id=crossref2.ref_id
join table3 on table3.ref_id=crossref2.ref_id
With your SQL there are two problems:
You have two references to table2, you have to add alias
You have to use cross join syntax instead of ,
If you would like to understand how with works (how I created sample data), PostgreSQL has excellent documentation on this.
I'll just put this in layman's terms since I'm a complete noobie:
I have 2 tables A and B, both having 2 columns of interest namely: employee_number and salary.
What I am looking to do is to extract rows of 'combination' of employee_number and salary from A that are NOT present in B, but each of employee_number and salary should be present in both.
I am looking to doing it with the 2 following conditions(please forgive the wrong function
names.. this is just to present the problem 'eloquently'):
1.) A.unique(employee_number) exists in B.unique(employee_number) AND A.unique(salary)
exists in B.unique(salary)
2.) A.concat(employee_number,salary) <> B.concat(employee_number,salary)
Note: A and B are in different databases, so I'm looking to use dblink to do this.
This is what I tried doing:
SELECT distinct * FROM dblink('dbname=test1 port=5432
host=test01 user=user password=password','SELECT employee_number,salary, employee_number||salary AS ENS FROM empsal.A')
AS A(employee_number int8, salary integer, ENS numeric)
LEFT JOIN empsalfull.B B on B.employee_number = A.employee_number AND B.salary = A.salary
WHERE A.ENS not in (select distinct employee_number || salary from empsalfull.B)
but it turned out to be wrong as I had it cross-checked by using spreadsheets and I don't get the same result.
Any help would be greatly appreciated. Thanks.
For easier understanding I left out the dblink.
Because, the first one selects lines in B that equal the employeenumber in A as well as the salery in A, so their concatenated values will equal as well (if you expect this to not be true, please provide some test data).
SELECT * from firsttable A
LEFT JOIN secondtable B where
(A.employee_number = B.employee_number AND a.salery != b.salery) OR
(A.salery = B.salery AND A.employee_number != B.employee_number)
If you have troubles with lines containing nulls, you might also try somthing like this:
AND (a.salery != b.salery OR (a.salery IS NULL AND b.salery IS NOT NULL) or (a.salery IS NOT
NULL and b.salery IS NULL))
I think you're looking for something along these lines.
(Sample data)
create table A (
employee_number integer primary key,
salary integer not null
);
create table B (
employee_number integer primary key,
salary integer not null
);
insert into A values
(1, 20000),
(2, 30000),
(3, 20000); -- This row isn't in B
insert into B values
(1, 20000), -- Combination in A
(2, 20000), -- Individual values in A
(3, 50000); -- Only emp number in A
select A.employee_number, A.salary
from A
where (A.employee_number, A.salary) NOT IN (select employee_number, salary from B)
and A.employee_number IN (select employee_number from B)
and A.salary IN (select salary from B)
output: 3, 20000