Mysql SELECT last few days?
Need rows from the last few days in MySQL? Simply subtract an INTERVAL
from CURDATE()
. Here's a quick fix:
The query fetches rows from the last three days, including the current day. Adjust the value 3
according to your requirement.
Mastering date and time functions
Working with time-sensitive data? MySQL’s date and time functions got your back. Let's dive deeper into their usage and practical applications.
Interval variations
With MySQL, you can switch between different types of intervals - be it an hour, a minute, or even a second:
Remember, NOW()
gives you date and time, including an accurate second value.
Timezone challenges
MySQL is like an old man trying to set his watch, it always consults its own timezone. So, whenever your application wrestles with multiple timezones, remember to convert the data:
Precision with UNIX_TIMESTAMP
The UNIX_TIMESTAMP
function navigates the daylight saving time manipulations by filtering records within a specific timeframe in seconds:
Advanced querying techniques
The secret to mastering MySQL date and time handling is in understanding its nuances and leveraging its functions efficiently.
DATE_SUB for subtraction
You can also use DATE_SUB
to subtract dates, like a subtraction race, but with dates. Fancy, right?
DATEDIFF warnings
DATEDIFF
may sound cool, but it's the bad boy of date-time functions as it calculates the difference in days completely disregarding the time within a day:
Sub-second precision
Need sub-second timing? Let MICROSECOND
come to your rescue for querying in milliseconds:
Efficient date-time querying
Timestamps and dates are tricky, but with a few good practices, they can be wielded effectively in your data retrieval arsenal.
The power of TIMESTAMP
If you have a TIMESTAMP
column, MySQL automatically takes care of the UTC conversions:
Shielding against invalid dates
Avoid the embarrassment of invalid dates in your results. Validate your date columns diligently:
Indexing for performance
Indexes are like the Table of Contents of your database. They are essential for lightning-fast result retrieval, especially in large databases:
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