Add SWAP size while installing a Oracle Database 19c on Oracle Linux

 Below is the error message I received while I was trying to install Oracle Database 19c on Oracle Linux 7.

PRVF-7573 : Sufficient swap size is not available on node

As per my error on the installer screen I needed 16GB of SWAP space where as my system has just 4GB. So I need to add a swap file for the installation to continue. 

Below steps will outline the steps for the same.

dd if=/dev/sdb of=/tmp/swap01 bs=1K count=16M
chmod 600 /tmp/swap01
mkswap /tmp/swap01
swapon /tmp/swap01

Make sure the bs (*) count is equal to your required SWAP space. Also, the /dev/sdb has enough storage as needed

Introduction to Oracle Analytics Cloud Series and Pre-requisites

It has been a while since I wrote a post, I have been working on Oracle cloud platform in the areas of Business Analytics and Big Data. As a starting point, I want to write a series of posts around provisioning and usage of Oracle PaaS services targetting areas around Business Analytics.

Oracle Database Cloud Service: This is the first and most popular Oracle Cloud service for GA. As leaders in the Database engine for over 4 decades the cloud service is also efficient like the on-prem. We would require an Oracle Database Cloud Service as a pre-requisite to the Oracle Analytics Cloud service for the purpose of storing metadata, commonly know as RCU schemas. Learn more about DBCS from here

Oracle Storage Cloud Service: This is one of the most common cloud services which you might be already aware of. Storage cloud service is meant for object storage. Everything in the cloud would need storage for the purpose of backup, logs etc. Oracle Analytics Cloud would also require storage of the same purpose of Logs & backups. Learn more about Storage Cloud from here

Oracle Analytics Cloud Service: Analytics cloud service is a combination of Oracle Business Intelligence Cloud Service, Oracle Data Visualization Cloud Service, and Oracle Essbase Cloud Service. So an Oracle Analytics Cloud service would essentially give all these packaged together under one license. Learn more on Analytics Cloud from here

In order to provision an Oracle Analytics Cloud service, below are the pre-requisites.

1. Cloud Account - Identity Domain, Username/Email, Password 
2. Oracle Database Cloud Service - Provisioned and Ready to use
3. Oracle Storage Cloud Service - Either a Container Created or Storage Admin Credentials for creating while provisioning.

In case you do not have a cloud account, you can try the Cloud for free with a promotional account having 400SGD credit for 30 days. Register for a cloud account at https://cloud.oracle.com.

What is SQL

SQL - Structured Query Language is a language of database, simply put its the language which a database can understand. SQL is an ANSI (American National Standards Institute) standard but there are many different versions of the SQL language.

What is SQL?

SQL is Structured Query Language, which is a computer language for storing, manipulating and retrieving data stored in relational database. SQL is the standard language for Relation Database System. All relational database management systems like MySQL, MS Access, Oracle, Sybase, Informix, postgres and SQL Server use SQL as standard database language.

Also, they are using different dialects, such as:

• MS SQL Server using T-SQL, 
• Oracle using PL/SQL, 
• MS Access version of SQL is called JET SQL (native format) etc. 

Why SQL? 

• Allows users to access data in relational database management systems.
• Allows users to describe the data. 
• Allows users to define the data in database and manipulate that data. 
• Allows to embed within other languages using SQL modules, libraries & pre-compilers. 
• Allows users to create and drop databases and tables. 
• Allows users to create view, stored procedure, functions in a database. 
• Allows users to set permissions on tables, procedures, and views 

History:

• 1970 -- Dr. Edgar F. "Ted" Codd of IBM is known as the father of relational databases. He described a relational model for databases. 
• 1974 -- Structured Query Language appeared. 
• 1978 -- IBM worked to develop Codd's ideas and released a product named System/R. 
• 1986 -- IBM developed the first prototype of relational database and standardized by ANSI. The first relational database was released by Relational Software and its later becoming Oracle. 

SQL Process:

When you are executing an SQL command for any RDBMS, the system determines the best way to carry out your request and SQL engine figures out how to interpret the task.There are various components included in the process. These components are Query Dispatcher, Optimization Engines, Classic Query Engine and SQL Query Engine, etc. Classic query engine handles all non-SQL queries but SQL query engine won't handle logical files.

Following is a simple diagram showing SQL Architecture:
SQL Commands:

The standard SQL commands to interact with relational databases are CREATE, SELECT, INSERT, UPDATE, DELETE and DROP. These commands can be classified into groups based on their nature:

DDL - Data Definition Language:

Command	Description
CREATE	Creates a new table, a view of a table, or other object in database
ALTER	Modifies an existing database object, such as a table.
DROP	Deletes an entire table, a view of a table or other object in the database.

DML - Data Manipulation Language:

Command	Description
SELECT	Retrieves certain records from one or more tables
INSERT	Creates a record
UPDATE	Modifies records
DELETE	Deletes records

DCL - Data Control Language:

Command	Description
GRANT	Gives a privilege to user
REVOKE	Takes back privileges granted from user