Oracle

In Oracle you can use the following query

select object_name from user_objects where object_type = ‘TABLE’;

MYSQL

In MySql you can use the follwing query

show tables;

Get All Schema in Oracle and MySql

ORACLE

We can get all oracle schemas using the following query

SELECT username FROM all_users;
or
SELECT * all_users;

MYSQL

We can get all mysql schemas using the following query

SELECT SCHEMA_NAME FROM information_schema.SCHEMATA;
or
SELECT * information_schema.SCHEMATA;
or
show databases

The drop database command is used when you no longer need one of the SQL databases on your server. It will remove it permanently.

Query Syntax:

drop database databasename; //mysql

Examples: If the database to be dropped is called “customer_profile”, run the following query to delete the entire database. This will remove the database ‘customer_profile’ from the MySQL server. This is irrecoverable and there is no prompting to see if you really do want to drop the database.

drop database customer_profile;

mysql

“. The program runs as a server providing multi-user access to a number of databases.

Web applications uses MySQL acts as the database component of the LAMP software stack. MySQL is used for data storage and logging of user data used by various high traffic websites includes YouTube, Nokia, Google, Wikipedia, Facebook, Flickr. It is written in C and C++.

MySQL works on many different system platforms, including AIX, BSDi, FreeBSD, HP-UX, i5/OS, Linux, Mac OS X, NetBSD, Novell NetWare, OpenBSD, OpenSolaris, eComStation, OS/2 Warp, QNX, IRIX, Solaris, Symbian, SunOS, SCO OpenServer, SCO UnixWare, Sanos, Tru64 and Microsoft Windows.
MySQL extension overview example

<?php
// Connecting, selecting database
$link = mysql_connect(‘mysql_host’, ‘mysql_user’, ‘mysql_password’)
or die(‘Could not connect: ‘ . mysql_error());
echo ‘Connected successfully’;
mysql_select_db(‘my_database’) or die(‘Could not select database’);

// Performing SQL query
$query = ‘SELECT * FROM my_table’;
$result = mysql_query($query) or die(‘Query failed: ‘ . mysql_error());

// Printing results in HTML
echo “<table>\n”;
while ($line = mysql_fetch_array($result, MYSQL_ASSOC)) {
echo “\t<tr>\n”;
foreach ($line as $col_value) {
echo “\t\t<td>$col_value</td>\n”;
}
echo “\t</tr>\n”;
}
echo “</table>\n”;

// Free resultset
mysql_free_result($result);

// Closing connection
mysql_close($link);
?>

Features and benefits of MySQL

• Massive data warehouses holding terabytes of information – Flexibility and Scalability
  Distinctive memory caches, Ultra fast load utilities, Table and Index partitioning – High Performance
  High Speed availability
  Support Multi version transaction
  High performance query engine
  Powerful authorization only access by users – Strong data protection

Optimization, Backups, Replication, Load Balancing & More

In High Performance MySQL you will learn about MySQL indexing and optimization in depth so you can make better use of these key features. You will learn practical replication, backup, and load-balancing strategies with information that goes beyond available tools to discuss their effects in real-life environments. And you’ll learn the supporting techniques you need to carry out these tasks, including advanced configuration, benchmarking, and investigating logs.