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Difference Between SQL and Plsql

by digital loki - 30 Aug 2022, Tuesday 226 Views Like (0)
Difference Between SQL and Plsql

Introduction SQL: The Structured Query Language (SQL) is a standard database language for creating, maintaining, and retrieving relational databases. SQL has the following advantages:

SQL could be considered a high-level language with a higher level of abstraction than procedural languages.

It enables system personnel and end-users to work with various database management systems where they are accessible.

Portability. When the underlying DBMS needs to be upgraded or altered, such porting may be required.


SQL specifies what is required rather than how it should be done:

Introduction to PL/SQL: PL/SQL is a block-structured programming language that allows developers to mix SQL capabilities with procedural expressions. All of the statements in a block are sent to the Oracle engine at the same time, increasing processing speed and decreasing traffic. PL/SQL is an abbreviation for "Procedural Language Extensions to SQL." PL/SQL is a database-oriented programming language that adds procedural capabilities to SQL. Oracle Corporation created it in the early 1990s to enhance the capabilities of SQL. PL/SQL extends SQL with selective (i.e., if... then... otherwise...) and iterative constructs (i.e., loops). PL/SQL is especially useful for creating triggers and maintaining processes. Stored procedures are units of procedural code that are kept in a compiled form within the data. The following are the benefits of PL/SQL:

  • Block structures are made up of code blocks that can be nested within each other. Each block is a task or logical module unit. PL/SQL blocks are frequently saved and reused within the data.
  • It has the ability to use procedural language structures such as conditional statements (if-else statements) and loops (FOR loops).
  • Improved performance: The PL/SQL engine processes many SQL statements concurrently as one block, minimizing network traffic.
  • Error Handling: PL/SQL successfully manages errors or exceptions during the execution of a PL/SQL program. When an exception is caught, particular actions can be executed depending on the type of exception, or a message can be displayed to the user.


Comparisons of SQL and PLSQL:

Sr. No.

Basis of Comparison

SQL

PL/SQL

1.

Definition

It is a database Structured Query Language.

It is a SQL-based database programming language.

2.

Variables

SQL does not support variables.

Variables, restrictions, and data types are all supported in PL/SQL.

3.

Control structures

Control Structures such as for loop, if, and other are not supported.

Control structures such as for loop, while loop, if, and others are accessible..

4.

Nature of Orientation

It is a data-oriented programming language.

It is an application-oriented programming language.

5.

Operations

In SQL, a query executes a single action.

PL/SQL block performs Group of Operation as a single block resulting in reduced network traffic.

6.

Declarative/ Procedural Language

Because the PL/SQL block performs Group of Operations as a single block, network traffic is reduced.

PL/SQL is a procedural programming language.

7.

Embed

SQL can be incorporated into PL/SQL.

SQL cannot contain PL/SQL.

8.

Interaction with Server

It communicates directly with the database server.

It has no direct interaction with the database server.

9.

Exception Handling

SQL does not handle errors or exceptions.

PL/SQL handles errors and exceptions.

10.

Writes

It is used to create queries that use DDL and DML statements (Data Definition Language and Data Manipulation Language, respectively).

PL/SQL can be used to create code blocks, functions, procedures, triggers, and packages.

11.

Processing Speed

SQL does not have a fast processing speed for large amounts of data.

PL/SQL has a fast processing speed for large amounts of data..

12.

Application

SQL allows you to retrieve, modify, add, delete, or manipulate data in a database.

You can use PL/SQL to create apps that display SQL data in a logical manner.