A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://www.geeksforgeeks.org/sql/sql-concepts-and-queries/ below:

SQL Concepts and Queries - GeeksforGeeks

In this article, we will discuss the overview of SQL and will mainly focus on Concepts and Queries and will understand each with the help of examples. Let's discuss it one by one.

Overview :
SQL is a computer language that is used for storing, manipulating, and retrieving data in a structured format. This language was invented by IBM. Here SQL stands for Structured Query Language. Interacting databases with SQL queries, we can handle a large amount of data. There are several SQL-supported database servers such as MySQL, PostgreSQL, sqlite3 and so on. Data can be stored in a secured and structured format through these database servers. SQL queries are often used for data manipulation and business insights better.

SQL Database :
Here, we will discuss the queries and will understand with the help of examples. 

Query-1 :
Show existing databases -
Let's consider the existing database like information_schema, mysql, performance_schema, sakila, student, sys, and world. And if you want to show the exiting database then we will use the show database query as follows. 

SHOW DATABASES;  

 Output :

Existing database Name information_schema mysql performance_schema sakila student sys world

Query-2 :
Drop a database -
Suppose we want to drop the database namely student.

DROP DATABASE student;
SHOW DATABASES;
Database Name information_schema mysql performance_schema sakila sys world

Query-3 :
Create a database -
Suppose we want to create a database namely a bank.

CREATE DATABASE bank;
SHOW DATABASES;
Database Name bank information_schema mysql performance_schema sakila sys world

Query-4 :
Using a database -

USE bank;

Query-5 :
Create a Table -
Here data type may be varchar, integer, date, etc.

CREATE TABLE table_name (
column1 datatype,
column2 datatype,
....
);

Example -

CREATE TABLE IF NOT EXISTS Employee (
EmployeeID int,
FirstName varchar(55),
LastName varchar(55),
Email varchar(150),
DOB date
);

Query-6 :
Show tables in the same database -

SHOW TABLES;

Query-7 :
Dropping a Table -

DROP TABLE table_name;

Query-8 :
Inserting values into an existing table -

INSERT INTO Employee 
VALUES(1111,'Dipak','Bera','dipakbera@gmail.com','1994-11-22');

Query-9 :
Fetching values in a table -

SELECT * FROM Employee;

Query-10 :
Not Null -
We can specify which column does not accept the null value when we insert a value(row) in a table. It will be done at the time of table creation.

CREATE TABLE table_name (
column1 datatype NOT NULL,
column2 datatype,
....
);

Query-11 :
Unique -
We can also specify that entries in a particular column should be unique.

CREATE TABLE table_name (
column1 datatype UNIQUE,
column2 datatype,
....
);

Example -

CREATE TABLE demo_table
(
EmployeeID int NOT NULL UNIQUE,
FirstName varchar(55),
LastName varchar(55)
);

KEY CONCEPTS in SQL :
Here, we will discuss some important concepts like keys, join operations, having clauses, order by, etc. Let's discuss it one by one. 

CREATE TABLE IF NOT EXISTS Customer(
CustID int NOT NULL,
FName varchar(55),
LName varchar(55),
Email varchar(100),
DOB date,
CONSTRAINT customer_custid_pk PRIMARY KEY(CustID)
);
CREATE TABLE Account(
AccNo int NOT NULL,
AType varchar(20),
OBal int,
OD date,
CurBal int,
CONSTRAINT customer_AccNo_fk FOREIGN KEY(AccNo) REFERENCES Customer(CustID)
);

ORDER BY :
TheORDER BY keyword is used to show the result in ascending or descending order. By default, it is in ascending order.

Syntax -

SELECT column1, column2, ...
FROM table_name
ORDER BY column1, column2, ... ASC|DESC;
AccNo  AType OBal       OD CurBal 1111 savings 1000 1990-11-09 6000 1114 current 2000 1992-10-07 1000 1113 current 7000 1992-11-03 4000 1112 savings 1000 2003-12-12 3000
SELECT * FROM Account ORDER BY CurBal; 

Output : 
(By default it will be in increasing order)

AccNo AType OBal       OD CurBal 1114 current 2000 1992-10-07 1000 1112 savings 1000 2003-12-12 3000 1113 current 7000 1992-11-03 4000 1111 savings 1000 1990-11-09 6000
SELECT * FROM Account ORDER BY CurBal DESC;

Output :   

AccNo AType OBal   OD CurBal 1111 savings 1000 1990-11-09 6000 1113 current 7000 1992-11-03 4000 1112 savings 1000 2003-12-12 3000 1114 current 2000 1992-10-07 1000

GROUP BY :
This keyword is used for grouping the results.

Example -

SELECT COUNT(AType) FROM Account GROUP BY AType;

Output :  

AType count(AType) savings         2 current         2

JOIN CONCEPTS :
Here, we will discuss the join concept as follows.

SELECT column_name(s)
FROM table1
LEFT JOIN table2
ON table1.column_name = table2.column_name;
 LEFT JOIN
SELECT column_name(s)
FROM table1
RIGHT JOIN table2
ON table1.column_name = table2.column_name;
RIGHT JOIN
SELECT column_name(s)
FROM table1
INNER JOIN table2
ON table1.column_name = table2.column_name;
INNER JOIN
SELECT column_name(s)
FROM table1
FULL OUTER JOIN table2
ON table1.column_name = table2.column_name;
FULL JOIN
SELECT column_name(s) FROM table1
UNION
SELECT column_name(s) FROM table2;
SELECT column_name(s)
FROM table1 T1, table1 T2
WHERE condition;

WHERE CLAUSE :
This clause is used for filtering our data.

Syntax -

SELECT column1, column2, ...
FROM table_name
WHERE condition;

Example -

SELECT  AccNo,CurBal FROM Account WHERE CurBal>=1000;

Output :

AccNo CurBal 1111 6000 1113 4000 1114 1000

HAVING CLAUSE :
This is required as the WHERE clause does not support aggregate functions such as count, min, max, avg, sum, and so on.

SELECT column1, column2, ...
FROM table_name
HAVING condition;

Example -

SELECT  AccNo,CurBal FROM Account HAVING CurBal=MAX(CurBal);

Output :



RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4