This document is all about SQL Commands commonly used...

1. Practical 1
Introduction to SQL
SQL Structured Query Language is a special-purpose programming language designed for
managing data held in a relational database management system (RDBMS).
Originally based upon relational algebra and tuple relational calculus, SQL consists of a data
definition language and a data manipulation language. The scope of SQL includes data insert,
query, update and delete, schema creation and modification, and data access control. Although
SQL is often described as, and to a great extent is, a declarative language (4GL), it also
includes procedural elements.
SQL was one of the first commercial languages for Edgar F. Codd's relational model, as
described in his influential 1970 paper, "A Relational Model of Data for Large Shared Data
Banks." Despite not entirely adhering to the relational model as described by Codd, it became the
most widely used database language.
SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of
the International Organization for Standardization (ISO) in 1987.[12]
Since then, the standard has
been enhanced several times with added features. Despite these standards, code is not completely
portable among different database systems, which can lead to vendor lock-in. The different
makers do not perfectly adhere to the standard, for instance by adding extensions, and the
standard itself is sometimes ambiguous.
History
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce in the
early 1970s. This version, initially called SEQUEL (Structured English Query Language), was
designed to manipulate and retrieve data stored in IBM's original quasi-relational database
management system, System R, which a group at IBM San Jose Research Laboratory had
developed during the 1970s. The acronym SEQUEL was later changed to SQL because
"SEQUEL" was a trademark of the UK-based Hawker Siddeley aircraft company.
In the late 1970s, Relational Software, Inc. (now Oracle Corporation) saw the potential of the
concepts described by Codd, Chamberlin, and Boyce and developed their own SQL-
based RDBMS with aspirations of selling it to the U.S. Navy, Central Intelligence Agency, and
other U.S. government agencies. In June 1979, Relational Software, Inc. introduced the first
commercially available implementation of SQL, Oracle V2 (Version2) for VAX computers.
After testing SQL at customer test sites to determine the usefulness and practicality of the system, IBM
began developing commercial products based on their System R prototype including System/38, SQL/DS,
and DB2, which were commercially available in 1979, 1981, and 1983, respectively.

2. Practical 2
Basic SQL commands (create, drop, insert)
Create :- SQL Create is the command used to create data objects, including everything from
new databases and tables to views and stored procedures.
DROP :- SQL DROP is another command that removes data from the data store. The drop
command must be performed on SQL objects including databases, tables, table columns, and
SQL views. Dropping any of these objects removes them completely from your SQL application
and all data contained in any of the data objects dropped are lost forever.

3. Insert :- SQL tables store data in rows, one row after another. The Insert command is the
command used to insert new data into a table by specifying a list of values to be inserted into
each table column.
Inserting Single value
Inserting Multi values

4. Practical 3
Viewing commands (select, update)
Select :- SQL Select may be the most commonly used command by SQL programmers. It is used
to extract data from databases and tp present data in a user-friendly table called the result set.

5. Update :- SQL Update is the command used to update existing table rows with new data values.
Update is a very powerful command in the SQL world. It has the ability to update every single
row in a database with the execution of only a single query.

6. Practical 4
Modify structure of table (alter)
Alter :- SQL Alter is the command used to add, edit, and modify objects like tables, databases,
and views. Alter is the command responsible for making table column adjustments or renaming
table columns. New table columns can also be added and dropped from existing SQL tables.

7. Practical 5
Compound condition commands (and, or, in, not in, between, like, not like)
AND :- SQL AND links together two or more conditional statements for increased filtering when
running SQL commands. AND helps the developer query for very specific records while
answering questions like, “ I want to view all orders made by a certain customer AND made on a
special date”. There is no limit to the number if AND conditions that can be applied to a query
utilizing the WHERE clause. This makes it possible for the developer to be as precise as needed
when querying for results.
OR :- SQL OR also applies logic to help filter results. The difference is that instead of linking
together conditional statements, an OR condition just asks SQL to look for 2 separate conditions
within the same query and return any records/rows matching either of the conditions.

8. In :- SQL In is an operator used to pull data matching a list of values. A scenario where this
proves useful would be if we wanted to retrieve customer data for two or more customers.
Not In :- SQL Not In, allows the developer to eliminate a list of specific values from the result
set.

9. BETWEEN :- BETWEEN is a conditional statement found in the WHERE clause. It is used to
query for table rows that meets a condition falling between a specified range of numeric values.
BETWEEN essentially combines two conditional statements into one and simplifies the
querying process for you. To understand exactly what we mean, we could create another query
without using the BETWEEN condition and still come up with same results.

10. LIKE :-
NOT LIKE :-

11. Practical 6
Aggregate functions (sum, count, max, min, average)
Sum :-
Count :-
Max :-

12. Min :-
Average :-

13. Practical 7
Grouping commands (group by, order by)
GROUPBY :- SQL GROUP BY aggregates column values into a single record value. GROUP
BY requires a list of table columns on which to run the calculations. Here, SQL has consolidated
like values and returned those that are unique. In this case, we have actually duplicated the
behavior of SELECT DISTINCT, but you have also seen firsthand how GROUP BY accepts a
table column as a list and consolidates lie customer values. To unleash the true power of
GROUP BY, it is necessary to include at least one mathematical function, and to do so we will
utilize the SUM function to calculate how many total items have been purchased by each of our
customers.

14. Order By :- Order By is the SQL command used to sort rows as they are returned from a select
query. SQL order by command may be added to the end of any select query and it requires at
least one table column to be specified in order for SQL to sort the results.

15. Practical 8
Data constraint commands (primary key, foreign key)
Primary key

16. Foreign key

17. Practical 9
Renaming command

18. Practical 10
Join commands
Equi Join

19. Self Join

20. Practical 11
Set Operations
Union : SQL UNION combines two separate SQL queries into one result set. A JOIN
statement adds additional table columns to a result set, UNION combines row results from one
table with rows of another table.
Minus :

21. Practical 12
Scalar function and String functions
Lower
Upper

22. Initcap
Substr

23. Left Trim
Right Trim

24. Lpad
Rpad

25. Power
Square

26. Concatenation

27. Practical 13
Command for views
Describe

28. Practical 14
Check Constraints
Practical 15
Having Clause