DML is the short form for "Data Manipulation Language." Data manipulation languages are a set of computer languages that have commands that permit users to add, remove, or manipulate data in a database.
The following commands are used to manipulate data in databases like SQL(sequence query language)
1. INSERT: This command is used to insert data into a database.
2. UPDATE: The data present inExisting tables are updated using this command
3. DELETE: This command is used to delete records from the existing database
4. LOCK: This command locks the contents of a table and will require the entering of a password for future edits. Thus it protects the integrity of the data in the scenario where multiple people are accessing the data concurrently.
5. CALL: It is used to call a PL/SQL or JAVA subprogram.
6. EXPLAIN PLAN: It outlines the data access route.
7. SELECT: This command helps the user retrieve data
There are two variations of data manipulation language they are high-level data manipulation language and low-level data manipulation language.
1. High-level data manipulation language
Designed for a specific time period or strongly series oriented
Only used to determine very complex operations in the database
arbitrary formula
provide the data you need
Don't specify when and how the data will be used
For example, each SQL statement is a required command to be issued
2. Low-level data manipulation language.
Called track-at-a-time DML
Consolidated as a programming language for general purpose
Essential in nature
Distinctly state how to access and which data to access
Example: DB2’s SQL PL, Oracle’s PL/SQL
Data manipulation language commands provide the flexibility to retrieve data according to your requirements by applying conditions in the WHERE clause.
Data stored in the database can be changed at any time without problems and is very easy to do using Data manipulation language commands.
Data manipulation language provides the ability for humans (end users of systems) to efficiently and quickly interact with back-end data stored in systems or databases.
Various restrictions can be applied at the schema level to grant end users the ability to edit and retrieve data in a controlled environment.
Additionally, DML does not allow end users to make schema-level changes in the database. This is also an advantage when it comes to privacy issues.
Cannot be used to change the structure of the database
Limit table view that is data manipulation language may hide Some table columns
Access data without storing it on the device
It is not ideal for creating or deleting sections or lists
Manual: After collecting the data from the testbench instrument, save it to a local computer, relocate the data in Excel, and then transfer it to an analysis tool (i.e. manual data manipulation).
Semi-automated: When data is collected by connecting it to a machine and running a script (like Pearl or R), it is considered semi-automated data manipulation.
Automated: The data is automatically copied by the tester and pushed over the network to the server and once it's ready, all you have to do is select the desired fully automated analysis (or get an automated report).
Procedural data manipulation language.
Non-procedural data manipulation language.
Python is a computer programing language that supports data manipulation language.
Sequence query language developed by IBM is data manipulation language.
Executes data interpretation queries only
Used in database schemas to retrieve or manipulate data