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HomeJavajavaTutorialWhat does java data type mean?

Java data type is a classification of specified variable or constant value type, which is divided into the following two categories: Basic data type: stores basic data values ​​(numbers, characters, Boolean values). Reference data type: Reference to an object that encapsulates data. Choosing the appropriate data type is critical to the correctness and efficiency of your application and needs to be chosen based on the type and range of values ​​being stored.

What does java data type mean?

What are Java data types?

Java data types are classifications that specify the types of values ​​that a variable or constant can store. They determine the range and types of values ​​a variable or constant can accept.

Java data type classification

Java data types are mainly divided into two categories:

  • Basic data types: Contains basic data values ​​such as numbers, characters, and Boolean values.
  • Reference data type: Reference object, which is a composite structure that encapsulates data.

Basic data types

# 64-bit symbol integer -9,223,036,854,775,808 to 9,223,372,854,775,807#float32-bit floating point number±1.40129846432481707e-45 to ±3.40282346638528860e 38double64 Bit floating point number ±4.94065645841246544e-324 to ±1.79769313486231570e 308##charboolean
Data type Description Range
byte 8-bit signed integer -128 to 127
short 16-bit signed integer -32,768 to 32,767
int 32-bit signed integer -2,147,483,648 to 2,147,483,647
Unicode character '\u0000' to '\uffff'
Boolean value true or false
Reference data type

Reference data type includes all object types, such as:

Class
  • Array
  • Interface
Choose appropriate data types

Choosing appropriate data types is critical to ensuring the correctness and efficiency of your application. The data type should be chosen based on the type and range of the value stored by the variable or constant. Using a smaller range of data types saves memory and improves performance, while using a larger range of data types prevents overflow or loss of precision.

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