How to use the create and drop view in SQLite

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by Abdul Rawoof A R dot icon Updated: Oct 19, 2023

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In SQLite, a "view" is a virtual table that does not store any data on its own. Instead, it is based on the result of a SELECT query on one or more tables.

Views provide a way to create a logical representation of the data from one or more tables. It simplifies complex queries, hides the underlying table structure, and reuses query logic. Here's what a view is and what SQLite uses:   

  • Definition: A view is created by defining a SELECT statement. It appears to be a regular table when queried. It consists of a stored SQL statement that defines the presentation data. Thus, the view itself doesn't contain any actual data. Views are referred to as "virtual tables". They help to access and manipulate data without altering the underlying tables.  
  • Simplify Queries: Views can simplify complex queries by encapsulating the complexity of joins. After creating a view, you can query it like a table without having to rewrite the same complex SQL code.   
  • Data Security: Views can help to control access to the underlying data. You can define views that only show specific columns or rows. This provides security and data abstraction.   
  • Abstraction: Views can hide the underlying table structure from users or applications. This maintains data integrity and simplifies developer-database interactions. 
  • Query Reusability: You can centralize query logic by creating views for used queries. This promotes code reusability and simplifies maintenance. To update the view's SQL statement when query requirements change.  


Here is an example of how to use the create and drop view SQLite:  

Fig: Preview the output you will get on running this code from your IDE.



Follow the steps carefully to get the output easily.

  1. Install & set up SQLite on your machine.
  2. Open SQLite and then copy the code using the copy button and paste it into the command line.

I hope you found this useful. I have added the link to dependent libraries, and version information in the following sections.

I found this code snippet by searching for 'Create VIEW using my SQLiteDatabase' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in SQLite version 3.43.2.

Using this solution, we are able to use the create and drop view in SQLite with simple steps. This process also facilitates an easy-to-use, hassle-free method to create a hands-on working version of code which would help us to use the create and drop view in SQLite.


1. What is CREATE VIEW in SQLite, and how does it differ from the standard CREATE command?  

In SQLite, the CREATE VIEW statement creates a virtual table. It shows the result of a SELECT query. Views are not actual tables; they are virtual tables. It simplifies complex queries and abstract data access. It improves the maintainability of your database schema. Views do not store data themselves. Instead, they provide a dynamic way to access data from one or more underlying tables.  


2. How do I use an SQLite - GROUP statement to create views in my database?  

In SQLite, you can use the GROUP BY statement to group rows in a table based on the values in one or more columns. To create a view that utilizes the GROUP BY statement, you can follow these steps:  

  • Access your SQLite database via your chosen tool or programming language.  
  • Write a SQL query that includes the GROUP BY clause to specify the grouping criteria. Use aggregate functions like SUM, COUNT, AVG, etc., to perform grouped data calculations.  


3. What are the advantages of using a relational database management system (RDBMS) for creating views?  

Here are some advantages of using RDBMS for creating views:   

  • Data Abstraction  
  • Security  
  • Data Integrity  
  • Query Optimization  
  • Data Redundancy Reduction  
  • Simplicity and Maintainability  


4. How can I ensure that my view definition refers back to real tables and not just a temporary view?  

If you want to ensure that your view definition refers to real tables, follow these practices:  

  • Check the Query  
  • Avoid Using Temporary Tables  
  • Use Fully Qualified Table Names  
  • Review Dependencies  
  • Test Your View  
  • Document Your Views  


5. What are the best practices when selecting view columns for an SQL query?  

Here are some best practices to follow when choosing columns for a view in SQL: 

  • Only Include Necessary Columns  
  • Avoid Calculated Fields  
  • Use Descriptive Column Names  
  • Maintain Compatibility  
  • Limit Joins 


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