Is MySQL "between" clause not inclusive?
Certainly, the MySQL BETWEEN clause is indeed inclusive. However, when dealing with DATETIME
fields, these are by default initialized to 00:00:00
if no specific time is determined. So, to consider the full day (time included), specify 'YYYY-MM-DD 23:59:59'
as your end value.
Here's an example that includes the full end date:
Beyond the basics: Unveiling between
& dates
Grasping the nuances of how MySQL handles the BETWEEN
clause with DATE
and DATETIME
fields can be the ultimate game-changer in your data querying endeavors. It’s quite a breeze with DATE
fields, but the plot thickens with DATETIME
or TIMESTAMP
fields.
Let's talk inclusive between
As per the MySQL official docs, BETWEEN
is inclusive. It's simply a short-form for >= AND <=
.
Decoding datetime
DATETIME
or TIMESTAMP
fields come with a time component that alters the between game. You can truncate the time or extend the end date to cover the whole day:
- For whole day inclusivity, slap
23:59:59
to the end date. - If you want to focus only on the dates, go ahead and cast the datetime to a date.
Here's how you can truncate datetime:
Time is of the essence
If time precision down to the last second is what you need, tagging 23:59:59
on your end date is your best bet. But handle time rounding or truncating functions with care, so you don't miss out on that precious second.
Nailing accurate time ranges
Datetime
and Timestamp
are two fields that could throw a wrench in your MySQL queries if not handled with precision. Here are some pro-tips for crusading these temporal terrains:
The timestamp precision game
When you want every tick of time accountable within your date range, accurately set the time to 23:59:59
.
Datetime castaway
If time is your adversary and it seems irrelevant, go with the CAST
. A DATE
is simple to manage and eliminates risks of accidentally losing your end date.
Comparisons for clarity
Skip the BETWEEN
marathon and choose the >=
and <=
operators. It gives your query unparalleled transparency.
Knowing your data types
A quick check of DATETIME
and DATE
differences before query crafting could spell out better accuracy.
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