Select Statement:
select * from Subjects;
Aliasing Column Name:
you can rename column according to your need using AS keyword.
select subjectname as subject from subjects;
Eliminating duplicate records:(Distinct Clause)
you can eliminate duplicate records using DISTINCT Keyword from resultset.
Select distinct subjectname from subjects;
Filtering Data(Where Clause):
you can filter data using WHERE clause with some condition,
Select subject;name from subjects where subjectid=3;
Select subject;name from subjects where subjectid>3;
The 'Not' Clause:
you can use NOT keyword condition
Select subjectname from subjects where subjectname IS NOT NULL;
SELECT SUBJECTNAME FROM SUBJECTS WHERE SUBJECTID NOT IN (2,3);
Filtering String:
you can filter string using LIKE keyword and %.
'H%' will return all the records start with 'H'.
'%H' will return all the records end with 'H'.
'%H%' will return all the records start and end with 'H'.
Select subjectname from subject where name like('H%') ;
The In and Between Keywords:
you can use IN clause when you have multiple ids you can get all records which are IN();
select * from subjects where subjectid in (2,3);
you can user BETWEEN clause when you want to get records between some range.
select * from subjects where subjectid BETWEEN 2 and 3;
Sorting Data(Order By Clause):
you can sort resultset using ORDER BY clause.
select * from subjects ORDER BY subjectname;
Limiting Records(Top Clause):
you can limit records by using TOP clause in your query.
select TOP 2 * from subjects ORDERBY subjectname;
OFFSET FETCH:
you can use OFFSET to keep and skip records. It is useful in paging concept.
SELECT * FROM SUBJECTS OFFSET 10 ROWS FETCH NEXT 25 ROWS ONLY;
AGGREGATING DATA; GROUP BY AND HAVING CLAUSE
you can use GROUP BY clause to get record set in Group.
SELECT COUNT(*) FROM SUBJECTS GROUP BY SUBJECTNAME;
Select from multiple tables (Using Joins)
Joins are very useful when you want to get data from multiple tables.
select * from subjects , books;
select a.subjectname,b.bookname from subjects a, books b where a.SubjectID=b.Subject;
There are different type of joins in sql.
Cross Join:
It will return Carthesian Product.
select * from books CROSS JOIN subjects;
Inner Join:
It is the most useful join. It is optional to use Inner Keyword. It is used in place of where and is a
proper way of join. it will return all the matching rows based on conditon.
select * from subjects INNER JOIN BOOKS ON SUBJECTS.SUBJECTID=BOOKS.SUBJECT;
Outer Join:
Outer joins are used when we want to matching and unmatching data from tables. it is of two types.
Left Outer Join:
It returns all matching of left and all of right records.
SELECT * FROM SUBJECTS LEFT OUTER JOIN BOOKS ON SUBJECTS.SUBJECTID=BOOKS.SUBJECT;
Right Outer Join:
It return all record of left and matching of right.
SELECT * FROM SUBJECTS Right OUTER JOIN BOOKS ON SUBJECTS.SUBJECTID=BOOKS.SUBJECT;
Ranking Functions:
There are four ranking functions in sql server.
RANK and DENSE_RANK assisgn unique number to each row.
RANK return total no of rows of same rank plus 1.
DENSE_RANK return rank plus 1.
select * from Subjects;
Aliasing Column Name:
you can rename column according to your need using AS keyword.
select subjectname as subject from subjects;
Eliminating duplicate records:(Distinct Clause)
you can eliminate duplicate records using DISTINCT Keyword from resultset.
Select distinct subjectname from subjects;
Filtering Data(Where Clause):
you can filter data using WHERE clause with some condition,
Select subject;name from subjects where subjectid=3;
Select subject;name from subjects where subjectid>3;
The 'Not' Clause:
you can use NOT keyword condition
Select subjectname from subjects where subjectname IS NOT NULL;
SELECT SUBJECTNAME FROM SUBJECTS WHERE SUBJECTID NOT IN (2,3);
Filtering String:
you can filter string using LIKE keyword and %.
'H%' will return all the records start with 'H'.
'%H' will return all the records end with 'H'.
'%H%' will return all the records start and end with 'H'.
Select subjectname from subject where name like('H%') ;
The In and Between Keywords:
you can use IN clause when you have multiple ids you can get all records which are IN();
select * from subjects where subjectid in (2,3);
you can user BETWEEN clause when you want to get records between some range.
select * from subjects where subjectid BETWEEN 2 and 3;
Sorting Data(Order By Clause):
you can sort resultset using ORDER BY clause.
select * from subjects ORDER BY subjectname;
Limiting Records(Top Clause):
you can limit records by using TOP clause in your query.
select TOP 2 * from subjects ORDERBY subjectname;
OFFSET FETCH:
you can use OFFSET to keep and skip records. It is useful in paging concept.
SELECT * FROM SUBJECTS OFFSET 10 ROWS FETCH NEXT 25 ROWS ONLY;
AGGREGATING DATA; GROUP BY AND HAVING CLAUSE
you can use GROUP BY clause to get record set in Group.
SELECT COUNT(*) FROM SUBJECTS GROUP BY SUBJECTNAME;
Select from multiple tables (Using Joins)
Joins are very useful when you want to get data from multiple tables.
select * from subjects , books;
select a.subjectname,b.bookname from subjects a, books b where a.SubjectID=b.Subject;
There are different type of joins in sql.
Cross Join:
It will return Carthesian Product.
select * from books CROSS JOIN subjects;
Inner Join:
It is the most useful join. It is optional to use Inner Keyword. It is used in place of where and is a
proper way of join. it will return all the matching rows based on conditon.
select * from subjects INNER JOIN BOOKS ON SUBJECTS.SUBJECTID=BOOKS.SUBJECT;
Outer Join:
Outer joins are used when we want to matching and unmatching data from tables. it is of two types.
Left Outer Join:
It returns all matching of left and all of right records.
SELECT * FROM SUBJECTS LEFT OUTER JOIN BOOKS ON SUBJECTS.SUBJECTID=BOOKS.SUBJECT;
Right Outer Join:
It return all record of left and matching of right.
SELECT * FROM SUBJECTS Right OUTER JOIN BOOKS ON SUBJECTS.SUBJECTID=BOOKS.SUBJECT;
Ranking Functions:
There are four ranking functions in sql server.
- ROW_NUMBER
- RANK
- DENSE_RANK
- NTILE
RANK and DENSE_RANK assisgn unique number to each row.
RANK return total no of rows of same rank plus 1.
DENSE_RANK return rank plus 1.
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