What is the full form of DML?

Introduction

Data Manipulation Language (DML) is a particular form of SQL (Structured Query Language) used to access, insert, modify, and remove information from systems. DML stands for Data Manipulation Language.

The capability it offers is crucial for data management and control since it enables users to alter and edit the data stored in tables. SELECT, INSERT, UPDATE, and DELETE are just a few of the DML commands that let users conduct various actions on the MySQL database entries.

Types of DML commands

Data within a database may be changed using DML (Data Manipulation Language) commands in SQL. The following are the primary DML command types −

• SELECT − Retrieves information based on predefined criteria from one or more tables.

• INSERT − Adds new records or rows of data to an existing table.

• UPDATE − Adjusts the values of certain columns in chosen rows of a table's existing data.

• DELETE − This function eliminates data from a table by removing particular rows in accordance with predefined criteria.

• MERGE − The INSERT, UPDATE, and DELETE procedures are combined into one statement using the MERGE command, enabling sensitive changes to the data.

• TRUNCATE − This operation clears all data from a table while preserving its structural integrity and restoring it to an empty form.

• UPSERT − If a conflicting record already exists, a UPSERT modifies the existing record rather than performing an INSERT action.

• LOCK TABLE − Limits access to a table momentarily, preventing other users from changing the data while the lock is in effect.

Users can obtain, insert, update, and remove data using these commands, which serve as the fundamental basis of database manipulation of data.

Examples of DML statements

Certainly! Data Manipulation Language (DML) statements in SQL are shown by the following examples −

SELECT

• Obtain all data from a table: SEARCH FOR * IN TABLE NAME

• Collect particular columns from a table: SELECT ROWS 1 and 2 FROM table_name;

• Depending on a criteria, retrieve the records: SELECT * FROM table_name WITH the where clause;

INSERT

• Add one record at a time to a table: INSERT INTO table_name VALUES (value1, value2) IN (column1, column2)

• Add several records to a table: INSERT INTO table_name, column 1, row 2, values 1, 2, and 3, respectively;

UPDATE

• Changing a single row in a table: TABLE_NAME UPDATE SET where condition: column1 = value1, column2 = value2,

DELETE

• Remove data from a table in accordance with a condition: Delete FROM table_name WITH WHERE condition;

MERGE

• INSERT and UPDATE operations should be combined depending on a condition: USE source_table TO MERGE INTO table_name PRESENT (state) UPDATE SET column1 = value1 WHEN MATCHED INSERT (column1, column2) VALUES (value1, value2) If NOT MATCHED;

TRUNCATE

• Eliminate all data from a table: table_name should be reduced.

With the help of these examples, users can see how to use different DML commands to obtain, insert, update, and remove data from databases utilizing SQL.

DML vs. DDL and DCL

Three forms of SQL (Structured Query Language) statements, known as DML (Data Manipulation Language), DDL (Data Definition Language), and DCL (Data Control Language), are used to manage databases in distinct ways. A quick comparison is shown below −

Data Manipulation Language (DML)

• Used to access and alter data in the database.

• SELECT, INSERT, UPDATE, DELETE, MERGE, etc. are a few examples.

• focuses on performing data manipulations such record insertion, changes, and deletion.

Data Definition Language (DDL)

• A tool for defining the database's structure and schema.

• A few examples are CREATE, ALTER, DROP, and TRUNCATE.

• Concentrates on creating and changing database objects including constraints, views, indexes, and tables.

Data Control Language (DCL)

• Used to control database object access rights and permissions.

• GRANT, REVOKE, DENY, etc. are a few examples.

• Focuses on managing database security, issuing or revoking rights, and restricting user access.

In summary, DCL deals with access and permissions management, DDL deals with designing database structure, and DML deals with data modification. The management of an interaction with a database system depends on each category.

Conclusion

DML (Data Manipulation Language), a subset of SQL, enables the retrieval, insertion, modification, and deletion of data from databases. It contains several commands, such as SELECT, INSERT, UPDATE, DELETE, and others. While DCL (Data Control Language) is concerned with controlling permissions and access rights, DDL (Data Definition Language) is concerned with establishing and altering the database's structure. To manage and manipulate data in a database system efficiently, it is crucial to comprehend the distinctions between these three types of queries using SQL.

FAQs

Q1. Are DML statements considered transactions?

Ans: Yes, DML statements may be used in transactions to ensure data consistency and provide reductions in the event of mistakes or errors.

Q2. Are DML statements compatible with stored procedures?

Ans: Yes, stored procedures, which are reusable database programs that can include different SQL statements, can employ DML statements.

Q3. Is DML exclusive to a single database system?

Ans: No, DML is a fundamental component of SQL, and the majority of relational database management systems (RDBMS) support it.