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SQL Datetime: Everything you Need to Know Datetime in SQL

SQL Datetime: Everything you Need to Know Datetime in SQL

SQL Datetime

SQL Datetime

SQL (Structured Query Language) is a powerful language used to manage relational databases. One of the most important data types in SQL is datetime, which is used to store date and time values. Understanding datetime in SQL is essential for managing time-based data effectively. In this blog post, we will discuss everything you need to know about datetime in SQL.

SQL DATETIME is a data type used to store date and time values in a database. It is a combined data type that stores both the date and time in the format YYYY-MM-DD HH:MM: SS. The SQL DATETIME data type is used to track the exact date and time when an event or transaction occurred. It is commonly used in database systems to track the creation and modification dates of records.

SQL DATETIME values can be manipulated, compared, and transformed with the help of built-in SQL functions such as NOW(), YEAR(), MONTH(), DAY(), and INTERVAL. Understanding how to work with SQL DATETIME values is an essential part of database programming.

What is the datetime data type?

The DATETIME data type is a combined data type in SQL used to store date and time values. It has the format YYYY-MM-DD HH:MM:SS and stores both the date and time components. The DATETIME data type is commonly used to track the exact date and time when an event or transaction occurred in a database.

It is used in conjunction with various SQL functions to perform operations like comparison, addition, subtraction, and extraction of date and time parts. The DATETIME data type is supported by most relational database management systems, including MySQL, Microsoft SQL Server, and Oracle.

datetime Description

Please check the following table to know more about the SQL DateTime type.

Property Value
Syntaxdatetime
UsageDECLARE @MyDatetime datetimeCREATE TABLE Table1 ( Column1 datetime )
Format‘YYYY-MM-DD hh: mm: ss.nnn
Time range00:00:00 through 23:59:59.997
Element rangesYYYY is four digits from 1753 through 9999 which represent a year.MM is two digits, ranging from 01 to 12, which represents a month in the specified year.DD is two digits, ranging from 01 to 31 depending on the month.
which represents a day of the specified month.hh is two digits, ranging from 00 to 23, that represent the hour.mm is two digits, ranging from 00 to 59, which represents the minute.ss is two digits, ranging from 00 to 59, which represents the second.n* is zero to three digits, ranging from 0 to 999, that represent the fractional seconds.
Storage size8 bytes
Default value1900-01-01 00:00:00
CalendarGregorian (Does include the complete range of years.)
Datavalley YouTube Banner

Converting Other Date and Time Types to the Datetime Data Type

Converting other date and time types to the SQL DATETIME data type can be done using various built-in functions. The specific function used depends on the original data type and the database management system being used. Some common examples include:

  • Converting from the DATE data type: CAST(date_column AS DATETIME)
  • Converting from the TIMESTAMP data type: CAST(timestamp_column AS DATETIME)
  • Converting from a string representation: STR_TO_DATE(string_column, ‘%Y-%m-%d %H:%i:%s’)

It is important to note that when converting from a string representation, the format of the string must match the expected format of the DATETIME data type (YYYY-MM-DD HH:MM: SS). The specific format specifier used in the conversion function may vary depending on the database management system being used.

Here’s an example in MySQL to convert a string representation to the SQL DATETIME data type:

Example 1:

SELECT STR_TO_DATE('2022-01-01 10:00:00', '%Y-%m-%d %H:%i:%s') AS converted_datetime;
Result:
converted_datetime
-------------------
2022-01-01 10:00:00

In this example, the string ‘2022-01-01 10:00:00’ is being converted to the SQL DATETIME data type using the STR_TO_DATE function. The format of the string is specified with the second argument of the function, ‘%Y-%m-%d %H:%i:%s’, which must match the expected format of the DATETIME data type. The result of the conversion is a datetime value with the date and time components as specified in the original string.

Implicit conversion between the DATE and DATETIME data types can be done using the CAST() function.

example 2 in MySQL:

SELECT CAST('2022-01-01' AS DATETIME) AS date_to_datetime;
Result:
date_to_datetime
-----------------
2022-01-01 00:00:0

In this example, the DATE value ‘2022-01-01’ is implicitly converted to the DATETIME data type using the CAST() function. The result of the conversion is a DATETIME value with the time component set to midnight (00:00:00).

It’s important to note that the result of an implicit conversion may not always be as expected, and it’s recommended to use explicit conversions with appropriate format specifications to avoid unexpected results.

Similarly, you can convert other date & time types to DateTime type either implicitly or using cast() and convert() methods. For your reference check out the table below to familiarize yourself with the formats of all the date and time types.

Data TypeExample
time12:35:29. 1234567
date2007-05-08
smalldatetime2007-05-08 12:35:00
datetime2007-05-08 12:35:29.123
datetime22007-05-08 12:35:29. 1234567
datetimeoffset2007-05-08 12:35:29.1234567 +12:15

With this, we come to the end of this article. I hope you understood how to use SQL DATETIME.

Datetime is a data type in SQL that allows you to store both date and time values. Datetime values are expressed in a specific format that includes both the date and time components. The most common format for datetime values is YYYY-MM-DD HH:MM:SS, where YYYY is the year, MM is the month, DD is the day, HH is the hour, MM is the minute, and SS is the second.

One of the most important features of datetime in SQL is the ability to perform calculations and manipulations on datetime values. SQL provides a range of built-in functions that allow you to perform operations such as adding or subtracting days, hours, or minutes from a datetime value, extracting specific components of a datetime value, and formatting datetime values in various ways.

Another important consideration when working with datetime in SQL is time zones. Datetime values in SQL are typically stored in UTC (Coordinated Universal Time) format, which is a standardized time format that is independent of time zones. However, it is important to consider time zone differences when working with datetime values in SQL to ensure that calculations and manipulations are accurate.

Conclusion:

In conclusion, datetime is an essential data type in SQL that allows you to store and manipulate date and time values. Understanding how to work with datetime values is crucial for managing time-based data effectively. By using the built-in datetime functions in SQL and considering time zone differences, you can perform complex calculations and manipulations on datetime values and ensure the accuracy of your results.

FAQ’s

What are the different datetime data types in SQL?

The common datetime data types in SQL include DATE, TIME, DATETIME, TIMESTAMP, and YEAR.

How do you insert a datetime value in SQL?

The syntax for inserting a datetime value in SQL is as follows: INSERT INTO table_name (column1, column2, ...) VALUES (value1, 'YYYY-MM-DD HH:MM:SS', ...)

How do you format a datetime value in SQL?

You can use the DATE_FORMAT function in SQL to format a datetime value as desired. For example, DATE_FORMAT(datetime_column, '%M %d, %Y') returns the datetime value in the format “Month Day, Year”.

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