Sql: BETWEEN vs <= and >
=
To filter data in a particular range in SQL, BETWEEN
offers a concise alternative to >=
and <=
used together:
Both methods yield identical outcomes, with BETWEEN
being the go-to for brevity and >=
and <=
useful for emphasizing endpoint inclusion. Always strive for consistency in your SQL queries.
The nitty-gritty
While BETWEEN
and >=
together with <=
might seem interchangeable at first, there are nuances to consider. For instance, dealing with dates can be a potential minefield.
Dealing with time
When using BETWEEN
with dates, it includes up to the last fraction of the end date's time part. This might lead to unexpected results unless handled judiciously:
This shows the advantage of using half-open ranges (>=
and <
) to effectively handle time parts in date ranges.
Order in the court
Incorrect ordering in <=
and >=
can result in unexpected outcomes. Ensuring the range markers are logically set prevents such anomalies.
Clarity vs precision
While BETWEEN
is a reader's delight for brevity, >= and <=
offers precision, albeit verbosely. The choice largely hinges on readability preference and context.
Check your docs
Behaviour of the BETWEEN
keyword might have variations across RDBMS platforms. Consult your database's documentation to navigate platform-specific variations adroitly.
Surprises and gotchas
Certain edge cases might produce different results with BETWEEN
and >= and <=
. Knowledge of these comes quite handy.
Inclusive vs. exclusive
BETWEEN
is always inclusive. If you need to exclude the upper limit:
Fractions of time
Time fractions in timestamps can mess up things with BETWEEN
. Stick with half-open ranges to stay clear:
Mistakes to watch out for
When crafting SQL queries, keep an eye out for typical mistakes that can distort your results or degrade performance.
Not optimizing for indexes
While BETWEEN
can be index-friendly, it's not guaranteed that it's treated same as >= AND <=
by database optimizers resulting in performance hiccups otherwise.
Ignoring conventions
Follow your team's coding conventions. It aids maintainability and keeps your code from sticking out like a sore thumb.
Not handling NULLs
BETWEEN
and >= AND <=
ignore NULL values. Explicitly handle NULLs, if your logic demands it:
Losing precision on casting
Using BETWEEN
with casted columns might rob away time details i.e. CAST(column AS DATE)
. Always consider data type and precision.
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