From http://www.w3schools.com (Copyright Refsnes Data)
The most difficult part when working with dates is to be
sure that the format of the date you are trying to insert, matches the format of the
date column in the database.
As long as your data contains only the date portion, your queries will work as expected. However, if a time portion is involved, it gets complicated.
Before talking about the complications of querying for dates, we will look at the most important built-in functions for working with dates.
The following table lists the most important built-in date functions in MySQL:
| Function | Description |
|---|---|
| NOW() | Returns the current date and time |
| CURDATE() | Returns the current date |
| CURTIME() | Returns the current time |
| DATE() | Extracts the date part of a date or date/time expression |
| EXTRACT() | Returns a single part of a date/time |
| DATE_ADD() | Adds a specified time interval to a date |
| DATE_SUB() | Subtracts a specified time interval from a date |
| DATEDIFF() | Returns the number of days between two dates |
| DATE_FORMAT() | Displays date/time data in different formats |
The following table lists the most important built-in date functions in SQL Server:
| Function | Description |
|---|---|
| GETDATE() | Returns the current date and time |
| DATEPART() | Returns a single part of a date/time |
| DATEADD() | Adds or subtracts a specified time interval from a date |
| DATEDIFF() | Returns the time between two dates |
| CONVERT() | Displays date/time data in different formats |
MySQL comes with the following data types for storing a date or a date/time value in the database:
SQL Server comes with the following data types for storing a date or a date/time value in the database:
Note: The date types are chosen for a column when you create a new table in your database!
For an overview of all data types available, go to our complete Data Types reference.
You can compare two dates easily if there
is no time component involved!
Assume we have the following "Orders" table:
| OrderId | ProductName | OrderDate |
|---|---|---|
| 1 | Geitost | 2008-11-11 |
| 2 | Camembert Pierrot | 2008-11-09 |
| 3 | Mozzarella di Giovanni | 2008-11-11 |
| 4 | Mascarpone Fabioli | 2008-10-29 |
Now we want to select the records with an OrderDate of "2008-11-11" from the
table above.
We use the following SELECT statement:
SELECT * FROM Orders WHERE OrderDate='2008-11-11' |
The result-set will look like this:
| OrderId | ProductName | OrderDate |
|---|---|---|
| 1 | Geitost | 2008-11-11 |
| 3 | Mozzarella di Giovanni | 2008-11-11 |
Now, assume that the "Orders" table looks like this (notice the time component in the "OrderDate" column):
| OrderId | ProductName | OrderDate |
|---|---|---|
| 1 | Geitost | 2008-11-11 13:23:44 |
| 2 | Camembert Pierrot | 2008-11-09 15:45:21 |
| 3 | Mozzarella di Giovanni | 2008-11-11 11:12:01 |
| 4 | Mascarpone Fabioli | 2008-10-29 14:56:59 |
If we use the same SELECT statement as above:
SELECT * FROM Orders WHERE OrderDate='2008-11-11' |
we will get no result! This is because the query is looking only for dates with no time portion.
Tip: If you want to keep your queries simple and easy to maintain, do not allow time components in your dates!
From http://www.w3schools.com (Copyright Refsnes Data)