SQL Cloning or Copying a Table
Last Updated :
23 Jul, 2025
Cloning or copying a table in SQL is a common task in database management. Whether we are creating backups, conducting testing, or needing a duplicate table structure for various purposes, knowing how to effectively clone or copy a table is an essential skill for database administrators and developers.
In this article, we will explain different methods of cloning tables in SQL, provide examples for each, and explain their real-world applications. By the end of this article, we will be able to select the most suitable cloning method based on our needs
What is a Copying or Cloning Table in SQL
SQL Cloning is an operation that means making a copy of a table. It's like taking a photocopy of a document. This copy can include both the table’s structure (column names, data types, constraints) and optionally its data. The clone table is independent of the original and can be used for testing, backups, or analysis without affecting the original table.
Cloning a table in SQL means making a duplicate copy of an existing table. It's like making a backup so that we can experiment or work with the data without affecting the original table. This saves our the time and effort of creating a completely new table and re-entering all the same data. Cloning can be done with or without data:
- With Data: The clone table includes the structure and rows of the original table.
- Without Data: Only the structure of the original table is copied.
Real-Life Scenario Example
Imagine we are developing a library management system. If we want to test new features without risking changes to the production table, we can create a clone of the original table for safe experimentation.
Methods for Cloning Tables in SQL
There are three different methods to create a clone table in SQL:
- Simple Cloning
- Deep Cloning
- Shallow Cloning
Step 1: Create the Original Table
We will use the following table named STUDENT for demonstrating cloning techniques. After creating the table we used INSERT OPERATION to insert the three entries in the "STUDENT" Table. Finally, we have used SELECT OPERATION to fetch the data to see the output.
Query:
CREATE TABLE STUDENT(
student_id int NOT NULL AUTO_INCREMENT,
name varchar(255) NOT NULL,
roll_no varchar(255) NOT NULL UNIQUE,
PRIMARY KEY (student_id)
) ;
INSERT INTO STUDENT(student_id, name, roll_no)
VALUES (1, 'Ritwik Dalmia', 'S100');
INSERT INTO STUDENT(student_id, name, roll_no)
VALUES (2, 'Rohan Singh', 'S200');
INSERT INTO STUDENT(student_id, name, roll_no)
VALUES (3, 'Mohan Singh', 'S300');
SELECT * from STUDENT;
Output
STUDENT TABLEExplanation:
The above MySQL code is used to create a table called "STUDENT" which has three columns student_id, name, and roll_no where student_id is defined as PRIMARY KEY with AUTO_INCREMENT command and roll_no is defined as UNIQUE KEY.
1. Simple Cloning
In this method, the clone table creates a copy of the original table’s structure and data, but constraints like primary keys, unique keys, and auto-increment properties are not preserved.
Syntax
CREATE TABLE clone_table SELECT * FROM original_table;
Example:
Let us see the example to understand how simple cloning syntax works
CREATE TABLE STUDENT_COPY AS SELECT * FROM STUDENT;
SELECT * FROM STUDENT_COPY;
Output
Simple CloningLet's see the property of both the tables STUDENT and STUDENT_COPY respectively
Property inherits while cloning the sql tablesExplanation:
As we can see that in original table "STUDENT", we have primary Key and auto_increment command for student_id and unique key for roll_no but in "STUDENT_COPY" clone table we do not have the primary key, auto_increment, and unique key respectively.
Drawback Of Simple Cloning
Simple cloning in SQL lacks preservation of unique constraints and auto-increment properties, potentially leading to data integrity issues. Mitigation involves manually reapplying constraints and resetting auto-increment settings. Consider alternative cloning methods for better results.
Output
Drawback of simple cloningExplanation:
In the above output, you can see that in the original table "STUDENT" we had set the student_no as a primary key but now in the simple clone table "STUDENT_COPY" values, there are duplicate value for the last two entries and Auto_increment command also becomes invalid here. To avoid this, we will be using Shallow cloning technique.
2. Shallow Cloning
Shallow cloning is the method in which the clone table gets the same structure as the original table but it does not inherits or copy the data from the original table. In other words, we will have the empty table including indices such as primary key, unique key, and auto_increment. It also preserves constraints like primary keys and unique keys.
Syntax
CREATE TABLE clone_table LIKE original_table;
Example:
CREATE TABLE STUDENT_SHALLOW_CLONE LIKE STUDENT;
SELECT * FROM STUDENT_SHALLOW_CLONE;
Output
Shallow clone of student table (Original Table)Insert Data into Shallow Clone:
INSERT INTO STUDENT_SHALLOW_CLONE(name, roll_no)
VALUES ('Ritwik Dalmia', 'S100');
INSERT INTO STUDENT_SHALLOW_CLONE(name, roll_no)
VALUES ( 'Rohan Singh', 'S200');
INSERT INTO STUDENT_SHALLOW_CLONE( name, roll_no)
VALUES ( 'Mohan Singh', 'S300');
Output
Shallow CloneExplanation:
We can able to see that all the properties such as indices and auto_increment command are inherited in this method as compare to simple cloning method.
3. Deep Cloning
This method is widely used for creating the clone tables in SQL as it inherits all the properties of original table including indices such as primary key, unique, and auto_increment as well as inherits the existing data from the original table.
Syntax
CREATE TABLE clone_table LIKE original_table;
INSERT INTO clone_table SELECT * FROM original_table;
Example:
CREATE TABLE STUDENT_DEEP_CLONE LIKE STUDENT;
INSERT INTO STUDENT_DEEP_CLONE SELECT * FROM STUDENT;
SELECT * FROM STUDENT_DEEP_CLONE;
Output
STUDENT_DEEP_CLONEThe output of the "STUDENT_DEEP_CLONE" is exactly the same as the "STUDENT" table. We can add new entries to the deep clone table to confirm the preservation of constraints:
INSERT INTO STUDENT_DEEP_CLONE (name,roll_no)
VALUES ('mohini roy', 'S400');
INSERT INTO STUDENT_DEEP_CLONE (name,roll_no)
VALUES ('surbhi roy', 'S500');
SELECT * FROM STUDENT_DEEP_CLONE;
Output
New-STUDENT_DEEP_CLONEExplanation:
In the above output, we performed the INSERT operation for two entries to the "STUDENT_DEEP_CLONE" table to validate the functionality or properties of the indices and the AUTO_INCREMENT function. Finally, we clone the sql table.
Conclusion
Cloning is a useful method in SQL for creating a copy of an existing table. There are three main methods of cloning a table: simple cloning, shallow cloning, and deep cloning. Simple cloning only copies the basic structure of the table, while shallow cloning copies the structure without any data.
Deep cloning, on the other hand, copies all properties of the original table, including indices like primary key, unique, and auto-increment, as well as any existing data. Each cloning method has its uses and benefits depending on the situation. Knowing the differences between these cloning methods can help us choose the appropriate method for our needs.
Similar Reads
SQL Tutorial Structured Query Language (SQL) is the standard language used to interact with relational databases. Mainly used to manage data. Whether you want to create, delete, update or read data, SQL provides the structure and commands to perform these operations. Widely supported across various database syst
8 min read
Basics
What is SQL?Structured Query Language (SQL) is the standard language used to interact with relational databases. Allows users to store, retrieve, update, and manage data efficiently through simple commands. Known for its user-friendly syntax and powerful capabilities, SQL is widely used across industries. How D
6 min read
SQL Data TypesIn SQL, each column must be assigned a data type that defines the kind of data it can store, such as integers, dates, text, or binary values. Choosing the correct data type is crucial for data integrity, query performance and efficient indexing.Benefits of using the right data type:Memory-efficient
3 min read
SQL OperatorsSQL operators are symbols or keywords used to perform operations on data in SQL queries. Perform operations like calculations, comparisons, and logical checks.Enable filtering, calculating, and updating data in databases.Essential for query optimization and accurate data management.Types of SQL Oper
5 min read
SQL Commands | DDL, DQL, DML, DCL and TCL CommandsSQL commands are the fundamental building blocks for communicating with a database management system (DBMS). It is used to interact with the database with some operations. It is also used to perform specific tasks, functions, and queries of data. SQL can perform various tasks like creating a table,
7 min read
SQL Database OperationsSQL databases or relational databases are widely used for storing, managing and organizing structured data in a tabular format. These databases store data in tables consisting of rows and columns. SQL is the standard programming language used to interact with these databases. It enables users to cre
3 min read
SQL CREATE TABLECreating a table is one of the first and most important steps in building a database. The CREATE TABLE command in SQL defines how your data will be stored, including the table name, column names, data types, and rules (constraints) such as NOT NULL, PRIMARY KEY, and CHECK.Defines a new table in the
3 min read
Queries & Operations
SQL SELECT QuerySQL SELECT is used to retrieve data from one or more tables, either all records or specific results based on conditions. It returns the output in a tabular format of rows and columns.Extracts data from tables.Targets specific or all columns (*).Supports filtering, sorting, grouping, and joins.Result
3 min read
SQL INSERT INTO StatementThe INSERT INTO statement in SQL is used to add new rows to an existing table, whether for all columns, specific columns or by copying from another table. It is an essential command for populating databases with relevant records like customers, employees, or students.Insert data into all or selected
4 min read
SQL UPDATE StatementThe UPDATE statement in SQL is used to modify existing records in a table without deleting them. It allows updating one or multiple columns, with or without conditions, to keep data accurate and consistent.Change specific column values in selected rowsApply targeted updates using WHEREUpdate single
4 min read
SQL DELETE StatementThe SQL DELETE statement is used to remove specific rows from a table while keeping the table structure intact. It is different from DROP, which deletes the entire table.Removes rows based on conditions.Retains table schema, constraints, and indexes.Can delete a single row or all rows.Useful for cle
3 min read
SQL | WHERE ClauseIn SQL, the WHERE clause is used to filter rows based on specific conditions. Whether you are retrieving, updating, or deleting data, WHERE ensures that only relevant records are affected. Without it, your query applies to every row in the table! The WHERE clause helps you:Filter rows that meet cert
3 min read
SQL | AliasesIn SQL, aliases are temporary names given to columns or tables to make queries easier to read and write. They donât change the actual names in the database and exist only for the duration of that query.Make long or complex names readableSimplify joins and subqueriesImprove clarity in result setsAvoi
3 min read
SQL Joins & Functions
SQL Joins (Inner, Left, Right and Full Join)SQL joins are fundamental tools for combining data from multiple tables in relational databases. For example, consider two tables where one table (say Student) has student information with id as a key and other table (say Marks) has information about marks of every student id. Now to display the mar
4 min read
SQL CROSS JOINIn SQL, the CROSS JOIN is a unique join operation that returns the Cartesian product of two or more tables. This means it matches each row from the left table with every row from the right table, resulting in a combination of all possible pairs of records. In this article, we will learn the CROSS JO
3 min read
SQL | Date Functions (Set-1)SQL Date Functions are essential for managing and manipulating date and time values in SQL databases. They provide tools to perform operations such as calculating date differences, retrieving current dates and times and formatting dates. From tracking sales trends to calculating project deadlines, w
5 min read
SQL | String functionsSQL String Functions are powerful tools that allow us to manipulate, format, and extract specific parts of text data in our database. These functions are essential for tasks like cleaning up data, comparing strings, and combining text fields. Whether we're working with names, addresses, or any form
7 min read
Data Constraints & Aggregate Functions
SQL NOT NULL ConstraintIn SQL, constraints are used to enforce rules on data, ensuring the accuracy, consistency, and integrity of the data stored in a database. One of the most commonly used constraints is the NOT NULL constraint, which ensures that a column cannot have NULL values. This is important for maintaining data
3 min read
SQL PRIMARY KEY ConstraintThe PRIMARY KEY constraint in SQL is one of the most important constraints used to ensure data integrity in a database table. A primary key uniquely identifies each record in a table, preventing duplicate or NULL values in the specified column(s). Understanding how to properly implement and use the
5 min read
SQL Count() FunctionIn the world of SQL, data analysis often requires us to get counts of rows or unique values. The COUNT() function is a powerful tool that helps us perform this task. Whether we are counting all rows in a table, counting rows based on a specific condition, or even counting unique values, the COUNT()
7 min read
SQL SUM() FunctionThe SUM() function in SQL is one of the most commonly used aggregate functions. It allows us to calculate the total sum of a numeric column, making it essential for reporting and data analysis tasks. Whether we're working with sales data, financial figures, or any other numeric information, the SUM(
5 min read
SQL MAX() FunctionThe MAX() function in SQL is a powerful aggregate function used to retrieve the maximum (highest) value from a specified column in a table. It is commonly employed for analyzing data to identify the largest numeric value, the latest date, or other maximum values in various datasets. The MAX() functi
4 min read
AVG() Function in SQLSQL is an RDBMS system in which SQL functions become very essential to provide us with primary data insights. One of the most important functions is called AVG() and is particularly useful for the calculation of averages within datasets. In this, we will learn about the AVG() function, and its synta
4 min read
Advanced SQL Topics
SQL SubqueryA subquery in SQL is a query nested within another SQL query. It allows you to perform complex filtering, aggregation, and data manipulation by using the result of one query inside another. Subqueries are often found in the WHERE, HAVING, or FROM clauses and are supported in SELECT, INSERT, UPDATE,
5 min read
Window Functions in SQLSQL window functions are essential for advanced data analysis and database management. It is a type of function that allows us to perform calculations across a specific set of rows related to the current row. These calculations happen within a defined window of data and they are particularly useful
6 min read
SQL Stored ProceduresStored procedures are precompiled SQL statements that are stored in the database and can be executed as a single unit. SQL Stored Procedures are a powerful feature in database management systems (DBMS) that allow developers to encapsulate SQL code and business logic. When executed, they can accept i
7 min read
SQL TriggersA trigger is a stored procedure in adatabase that automatically invokes whenever a special event in the database occurs. By using SQL triggers, developers can automate tasks, ensure data consistency, and keep accurate records of database activities. For example, a trigger can be invoked when a row i
7 min read
SQL Performance TuningSQL performance tuning is an essential aspect of database management that helps improve the efficiency of SQL queries and ensures that database systems run smoothly. Properly tuned queries execute faster, reducing response times and minimizing the load on the serverIn this article, we'll discuss var
8 min read
SQL TRANSACTIONSSQL transactions are essential for ensuring data integrity and consistency in relational databases. Transactions allow for a group of SQL operations to be executed as a single unit, ensuring that either all the operations succeed or none of them do. Transactions allow us to group SQL operations into
8 min read
Database Design & Security
Introduction of ER ModelThe Entity-Relationship Model (ER Model) is a conceptual model for designing a databases. This model represents the logical structure of a database, including entities, their attributes and relationships between them. Entity: An objects that is stored as data such as Student, Course or Company.Attri
10 min read
Introduction to Database NormalizationNormalization is an important process in database design that helps improve the database's efficiency, consistency, and accuracy. It makes it easier to manage and maintain the data and ensures that the database is adaptable to changing business needs.Database normalization is the process of organizi
6 min read
SQL InjectionSQL Injection is a security flaw in web applications where attackers insert harmful SQL code through user inputs. This can allow them to access sensitive data, change database contents or even take control of the system. It's important to know about SQL Injection to keep web applications secure.In t
7 min read
SQL Data EncryptionIn todayâs digital era, data security is more critical than ever, especially for organizations storing the personal details of their customers in their database. SQL Data Encryption aims to safeguard unauthorized access to data, ensuring that even if a breach occurs, the information remains unreadab
5 min read
SQL BackupIn SQL Server, a backup, or data backup is a copy of computer data that is created and stored in a different location so that it can be used to recover the original in the event of a data loss. To create a full database backup, the below methods could be used : 1. Using the SQL Server Management Stu
4 min read
What is Object-Relational Mapping (ORM) in DBMS?Object-relational mapping (ORM) is a key concept in the field of Database Management Systems (DBMS), addressing the bridge between the object-oriented programming approach and relational databases. ORM is critical in data interaction simplification, code optimization, and smooth blending of applicat
7 min read