What Is Numeric Data Type in Oracle?
In Oracle, the numeric data type is used to store numbers. It is important to choose the appropriate numeric data type depending on the range and precision of the numbers you want to store. Oracle provides a variety of numeric data types to cater to different requirements.
Number Data Type
The NUMBER data type is the most commonly used numeric data type in Oracle. It stores both positive and negative numbers, with a precision ranging from 1 to 38 digits. The precision represents the total number of digits that can be stored, including both integer and fractional parts.
For example, if you specify NUMBER(5,2), it means you can store numbers with a maximum of 5 digits, out of which 2 digits can be used for the decimal part.
Numeric Examples:
- NUMBER(10): A number with a maximum of 10 digits.
- NUMBER(6, 3): A number with a maximum of 6 digits, out of which 3 digits are used for the decimal part.
- NUMBER(3, -1): A number with a maximum of 3 digits before the decimal point and no decimal part.
Floating-Point Numbers
If you need to store numbers with floating-point precision, Oracle provides two floating-point numeric data types: BINARY_FLOAT and BINARY_DOUBLE.
- BINARY_FLOAT: This data type is used to store single-precision floating-point numbers. It occupies 4 bytes of storage and can represent numbers with a precision of approximately 7 digits.
- BINARY_DOUBLE: This data type is used to store double-precision floating-point numbers. It occupies 8 bytes of storage and can represent numbers with a precision of approximately 15 digits.
Decimal Data Type
The DECIMAL data type is used to store fixed-point decimal numbers. It is commonly used in financial applications where exact decimal values are required. The precision and scale need to be specified while defining the DECIMAL data type.
- DECIMAL(p): A decimal number with a maximum precision of p. The scale defaults to 0, meaning it does not allow any decimal part.
- DECIMAL(p, s): A decimal number with a maximum precision of p and a scale of s. The scale represents the number of digits that can be stored after the decimal point.
Decimal Examples:
- DECIMAL(10): A decimal number with a maximum precision of 10 and no decimal part.
- DECIMAL(6, 2): A decimal number with a maximum precision of 6 and 2 digits after the decimal point.
In conclusion, Oracle offers various numeric data types to suit different needs. Choosing the appropriate numeric data type ensures efficient storage and accurate representation of numbers in your database.
10 Related Question Answers Found
What Is Numeric Data Type in Database? In a database, the numeric data type is used to store numerical values. It is an essential data type that allows for mathematical operations and calculations.
When working with databases, it is essential to understand the different data types that can be used to store and manipulate data. One commonly used data type in SQL is the numeric data type. As the name suggests, this data type is used to store numerical values such as integers or decimals.
In SQL, a numeric data type is used to store numerical values in a database table. This data type allows you to perform mathematical operations and calculations on the stored values. In this article, we will explore the different numeric data types available in SQL and how they can be used effectively.
What Is Numeric Data Type in Python? Python is a versatile programming language that supports various data types. One of the fundamental data types in Python is the numeric data type.
Numeric data types in Python are used to store numerical values. These data types allow us to perform mathematical operations on the stored values. In Python, there are three main numeric data types: int, float, and complex.
SQLite is a powerful and popular database management system that is widely used across various platforms and programming languages. It supports a variety of data types to store different kinds of data. One of the fundamental data types in SQLite is the Numeric data type.
A numeric data type in SQL is used to store numerical values in a database. These values can be integers or decimal numbers, and they are essential for performing calculations and mathematical operations within the database. Types of Numeric Data Types
In SQL, there are several types of numeric data types available:
INT: This data type is used to store whole numbers.
Numeric data type is an essential concept in SQL Server. It allows us to store and manipulate numerical values within the database. In this article, we will explore the different numeric data types available in SQL Server and understand their characteristics and usage.
The data type numeric in SQL is used to store numbers with a fixed precision and scale. It is commonly used when working with financial or monetary values where exact calculations are required. Precision and Scale
In the numeric data type, precision refers to the total number of digits that can be stored, both before and after the decimal point.
What Is Binary Data Type in Oracle? Oracle is a widely used relational database management system that supports various data types. One such data type is the binary data type, which allows you to store and manipulate binary data such as images, audio files, video files, and other non-textual information.