I am have MSSQL tables as below
Names
sno username firstname
1 jim sam
2 raj ravi
3 lion king
Marks
sno from given
1 raj jim
2 raj lion
3 lion raj
4 lion jim
Now I wanted to display my table as shown below:
Select [from],
[given]
From Marks
Where [from] = 'raj'
Output Table:
from given firstname
raj jim sam
raj lion king
How can I acheve it I am unable to figure it out?
select marks.from, marks.given, names.fistname
from marks
join names
on marks.given = names.username
where marks.from = 'raj'
Related
I am trying to join two tables based on one column from one table and two column from other table
Table a
name, designation
Mr. james john, manager
Mr. jim james, tester
Mr. abe james, developer
Table b
first name, last name, emp id
james,john,1
jim, james,2
abe,james,3
I want to join table a name column with table b combining "Mr. "+first name+last name.
Here's a way to do what your question asks:
res = a.join(b.assign(name='Mr. ' + b['first name'] + ' ' + b['last name']).set_index('name'), on='name')
Input:
dataframe a:
name designation
0 Mr. james john manager
1 Mr. jim james tester
2 Mr. abe james developer
dataframe b:
first name last name emp id
0 james john 1
1 jim james 2
2 abe james 3
Output:
name designation first name last name emp id
0 Mr. james john manager james john 1
1 Mr. jim james tester jim james 2
2 Mr. abe james developer abe james 3
I am trying to query in MS SQL and I can not resolve it. I have a table employees:
Id Name Surname FatherName MotherName WifeName Pincode isChild
-- ------- ------- ---------- ---------- -------- ------- -------
1 John Green James Sue null 101011 1
2 Michael Sloan Barry Lilly null 101011 1
3 Sally Green Andrew Molly Jemi 101011 1
4 Barry Sloan Soul Paul Lilly 101011 0
5 James Green Ned White Sue 101011 0
I want a query that selects rows where the father name and mother name of child matches with name and wife name. For the example table, where I want to return the result of rows where father and mother name matches the name and wife name column. For eg. id=1, where John's father name James and mother name Sue matches with id 5 which returns James as first name and Sue as wife name. So my query should return (this is my expected result)
Id Name Surname FatherName MotherName WifeName Pincode isChild
-- ------- ------- ---------- ---------- -------- ------- -------
5 James Green Ned White Sue 101011 0
4 Barry Sloan Soul Paul Lilly 101011 0
I tried with the below query but it checks for James only. How to change my query so that it checks all the names and returns the expected result.
select * FROM employees
where first_name like '%James%'
and wife_name like '%Sue%'
and pincode=101011;
Any tips on this will be really helpful. I am new to joins, need help on writing self join to get the result.
…
select *
from thetable as p -- the parent/father
where exists -- with one child at least
(
select *
from thetable as c
where c.fathername = p.name
and c.mothername = p.wifename
-- lastname?
)
Too long for a comment, but also not intended as a slam against what you are working with. Please take as constructive criticism.
Aside from VERY POOR DESIGN on the table content, getting that corrected before you get too deep into whatever you are working should be done first. A more typical design might be having a table of people. Now, to get the relationships you could do a couple ways. One is that on each individual person's record, you add 2 additional IDs. FatherID, MotherID. These IDs would join directly back to the child vs hard strings to match against. Take a surname like Smith or Jones. Then, look at the many instances of a "John Smith" may exist, yes a lot, and lower probability of finding a matching wife's name of Sue, Mary or whatever else name. But even that could lead to multiple possibilities. Yes, you are adding a PIN, but even a computer can generate a random pin of 1234.
By having the IDs, there is NO ambiguity of who the relationship is with.
If the data were slightly altered to something like
Id Name Surname FatherID MotherID SpouseID
-- ------- ------- ---------- ---------- --------
1 John Green 5 6 null
2 Michael Sloan 4 3 null
3 Lilly Sloan null null 4
4 Barry Sloan null null 3
5 James Green 9 10 6
6 Sue Green 7 8 5
7 Bill Jones null null 8
8 Martha Jones null null 7
9 Brian Green null null 10
10 Beth Smith-Green null null 9
So, in this modified example, you can see right away that ID#1 John Green has parents of Father (ID#5) is James and Mother (ID#6) is Sue. But even from this, James is a child to Father (ID#9) Brian and Mother (ID#10) Beth. This scenario is showing to a grand-parent level capacity and that each of James and Sue are also children but to their respective parents. Sue's parents of the Jones surname.
For Michael Sloan, parents of #4 Barry, and #3 Lilly.
And I additionally added a spouse ID. This prevents redundancy of people's names copied all over. Then you can query based on the child's parent's respective IDs to find out vs a hopeful name LIKE guess.
So, even though not solving a relatively simple query, fixing the underlying foundation of your database and is relations will, long-term, help ease your querying in the future.
Try this:
SELECT
T2.*
FROM Employee T1
JOIN Employee T2 ON T2.Name = T1.FatherName
AND T2.WifeName = T1.MotherName
I have an SQL table like this
Name1 Name2 Department1 Department2 Location1 Location2
----------------------------------------------------------------------
Jhon Alex IT Marketing London Seattle
Mark Dan Sales R&D Paris Tokyo
How can I query these results in this format:
Name Department Location
---------------------------------------
Jhon IT London
Alex Marketing Seattle
Mark Sales Paris
Dan R&D Tokyo
Use cross apply
DEMO
select name,department,location
from t
cross apply
(
values(name1,department1,location1),(name2,department2,location2)
)cc (name, department,location)
OUTPUT:
name department location
Jhon IT London
Alex Marketing Seattle
Mark Sales Paris
Dan R&D T Tokyo
You could try to use SQL Server's UNPIVOT operator, but honestly a plain union query might even perform better:
SELECT Name1 AS Name, Department1 AS Department, Location1 AS Location FROM yourTable
UNION ALL
SELECT Name2, Department2, Location2 FROM yourTable;
Regarding your expected ordering, there is no sort of id column in your original table which maintains to which name pair each record belongs. So, what I have written above might be the best we can do here.
Try This:
DECLARE #TestDemo AS TABLE(Name1 VARCHAR(10),Name2 VARCHAR(10),Department1 VARCHAR(10),Department2 VARCHAR(10),Location1 VARCHAR(10),Location2 VARCHAR(10))
INSERT INTO #TestDemo VALUES('Jhon','Alex','IT','Marketing','London','Seattle')
INSERT INTO #TestDemo VALUES('Mark','Dan','Sales','R&D','Paris','Tokyo')
SELECT Name1 'Name',Department1 'Department',Location1 'Location' FROM #TestDemo
UNION ALL
SELECT Name2 'Name',Department2 'Department',Location2 'Location' FROM #TestDemo
My first time reading a question on here.
I am working at a university and I have a table of student IDs and their supervisors, some of the students have one supervisor and some have two or three depending on their subject.
The table looks like this
ID Supervisor
1 John Doe
2 Peter Jones
2 Sarah Jones
3 Peter Jones
3 Sarah Jones
4 Stephen Davies
4 Peter Jones
4 Sarah Jones
5 John Doe
I want to create a view that turns that into this:
ID Supervisor 1 Supervisor 2 Supervisor 3
1 John Doe
2 Peter Jones Sarah Jones
3 Peter Jones Sarah Jones
4 Stephen Davies Peter Jones Sarah Jones
5 John Doe
I have looked at PIVOT functions, but don't think it matches my needs.
Any help is greatly appreciated.
PIVOT was the right clue, it only needs a little 'extra' :)
DECLARE #tt TABLE (ID INT,Supervisor VARCHAR(128));
INSERT INTO #tt(ID,Supervisor)
VALUES
(1,'John Doe'),
(2,'Peter Jones'),
(2,'Sarah Jones'),
(3,'Peter Jones'),
(3,'Sarah Jones'),
(4,'Stephen Davies'),
(4,'Peter Jones'),
(4,'Sarah Jones'),
(5,'John Doe');
SELECT
*
FROM
(
SELECT
ID,
'Supervisor ' + CAST(ROW_NUMBER() OVER(PARTITION BY ID ORDER BY Supervisor) AS VARCHAR(128)) AS supervisor_id,
Supervisor
FROM
#tt
) AS tt
PIVOT(
MAX(Supervisor) FOR
supervisor_id IN ([Supervisor 1],[Supervisor 2],[Supervisor 3])
) AS piv;
Result:
ID Supervisor 1 Supervisor 2 Supervisor 3
1 John Doe NULL NULL
2 Peter Jones Sarah Jones NULL
3 Peter Jones Sarah Jones NULL
4 Peter Jones Sarah Jones Stephen Davies
5 John Doe NULL NULL
You will notice that the assignment to Supervisor X is done by ordering by the Supervisor-VARCHAR. If you want the ordering done differently, you might want to include an [Ordering] column; then change to ROW_NUMBER() OVER(PARTITION BY ID ORDER BY [Ordering]). Eg an [Ordering] column could be an INT IDENTITY(1,1). I'll leave that as an excercise to you if that's what's really needed.
I have a (rather dirty) datasource (excel) that looks like this:
ID | Name | Subject | Grade
123 | Smith, Joe R. | MATH | 2.0
123 | Smith, Joe Rodriguez | FRENCH | 3.0
234 | Doe, Mary Jane D.| BIOLOGY | 2.5
234 | Doe, Mary Jane Dawson| CHEMISTRY | 2.5
234 | Doe, Mary Jane | FRENCH | 3.5
My application's output should look like this:
Smith, Joe R.
123
MATH | 2.0
FRENCH | 3.0
So basically I want to do query (just for the ID/Person parent 'container') something like:
SELECT DISTINCT ID, Name FROM MyTable<br/>
or
SELECT ID, Name FROM MyTable GROUP BY ID
Of course both of the above are invalid and won't work.
I would like to 'combine' the same ID's and ignore/truncate the other records with the same ID/different Name (because we all know they're the same person since ID is our identifier and clearly it's just a typo/dirty data).
Can this be done by a single SELECT query?
If you don't really care which value shows up in the name field, use MAX() or MIN():
SELECT ID,
MAX(Name) AS Name
FROM [YourTable]
GROUP BY ID
Here's a working example to play with: https://data.stackexchange.com/stackoverflow/q/116699/
You can find the MIN or MAX Value of Name
SELECT ID, Max(Name)
FROM MyTable
GROUP BY ID
SELECT A.ID, A.NAME, T.Subject, T.Grade
FROM (SELECT ID, MIN(NAME) AS NAME
FROM MyTable
GROUP BY ID) A
LEFT JOIN MyTable T on A.ID = T.ID
Will give you something like
123 Smith, Joe R. Math 2.0
123 Smith, Joe R. FRENCH 3.0
234 Doe, Mary Jane BIOLOGY 2.5
234 Doe, Mary Jane CHEMISTRY 2.5
234 Doe, Mary Jane FRENCH 3.5
If you don't care which name you keep, you can use a MAX() or MIN() aggregate to pick just one name:
SELECT ID, MAX(Name) as Name
FROM MyTable GROUP BY ID