- Introduction To MySQL
- MySQL RDBMS
- MySQL SQL
- MySQL SELECT Statement
- MySQL WHERE Clause
- MySQL AND, OR And NOT Operators
- MySQL ORDER BY Keyword
- MySQL INSERT INTO Statement
- MySQL NULL Values
- MySQL UPDATE Statement
- MySQL DELETE Statement
- MySQL LIMIT Clause
- MySQL MIN() And MAX() Functions
- MySQL COUNT(), AVG() And SUM() Functions
- MySQL LIKE Operator
- MySQL Wildcards
- MySQL IN Operator
- MySQL BETWEEN
- MySQL Aliases
- MySQL Joins
- MySQL INNER JOIN Keyword
- MySQL LEFT JOIN Keyword
- MySQL RIGHT JOIN Keyword
- MySQL CROSS JOIN Keyword
- MySQL Self Join
- MySQL UNION Operator
- MySQL GROUP BY Statement
- MySQL HAVING Clause
- MySQL EXISTS Operator
- MySQL ANY And ALL Operators
- MySQL INSERT INTO SELECT Statement
- MySQL CASE Statement
- MySQL NULL Functions
- MySQL Comments
- MySQL Operators
- MySQL CREATE DATABASE Statement
- MySQL DROP DATABASE Statement
- MySQL CREATE TABLE Statement
- MySQL DROP TABLE Statement
- MySQL ALTER TABLE Statement
- MySQL Constraints
- MySQL NOT NULL Constraint
- MySQL UNIQUE Constraint
- MySQL PRIMARY KEY Constraint
- MySQL FOREIGN KEY Constraint
- MySQL CHECK Constraint
- MySQL DEFAULT Constraint
- MySQL CREATE INDEX Statement
- MySQL AUTO INCREMENT Field
- MySQL Working With Dates
- MySQL Views
- MySQL Data Types
- MySQL Functions
MySQL Working With Dates
MySQL Dates
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 more complicated.
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MySQL Date Data Types
MySQL comes with the following data types for storing a date or a date/time value in the database:
DATE - format YYYY-MM-DD
DATETIME - format: YYYY-MM-DD HH:MI:SS
TIMESTAMP - format: YYYY-MM-DD HH:MI:SS
YEAR - format YYYY or YY
The date data type are set for a column when you create a new table in your database!
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Working With Dates
Look at the following table:
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:
The result-set will look like this:
OrderId | ProductName | OrderDate |
---|---|---|
1 | Geitost | 2008-11-11 |
3 | Mozzarella di Giovanni | 2008-11-11 |
Two dates can easily be compared if there is no time component involved!
Now, assume that the "Orders" table looks like this (notice the added 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:
we will get no result! This is because the query is looking only for dates with no time portion.
To keep your queries simple and easy to maintain, do not use time-components in your dates, unless you have to!
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