Using "like" wildcard in prepared statement
Here's the quick takeaway: Incorporate the %
wildcard into the search term parameter to utilize it within a PreparedStatement
and a LIKE
clause:
The above fetches rows where column
begins with "term". To discover "term" at any position within column
, modify the parameter to %term%
.
Deploying wildcards effectively
Crafting varying search patterns with wildcards
In SQL's LIKE
clause, %
is a wildcard that marries any sequence of characters. Place it intelligently in your PreparedStatement
for different search types:
- Starts with: Use
"term%"
to snare strings beginning with "term". - Ends with: Set your trap with
"%" + term
to nab strings ending with "term". - Contains: Implement
"%" + term + "%"
to net "term" anywhere in the string.
Dodging special characters' mischief
Pesky special characters could wreak havoc with wildcard functionality. Nip the chaos in the bud — escape these characters using the ESCAPE clause:
In the code, !
is the escape character, neutralizing any special characters' "special" effects.
CONCAT: Wildcards' best buddy
If your database is on talking terms with the CONCAT
function, use it to add wildcards into your SQL statement dynamically:
(Note: Replace ? with your term when in CONCAT, not with '%your_term%'. It's not Inception here!)
Getting ahead with additional insights
The not-so-obvious trade-off: Performance with LIKE
While working your query magic with LIKE
, remember:
- Leading wildcards (i.e.,
"%term"
) could slow down your search due to inefficient queries as they prevent your indexes from working. - As much as possible, add a wildcard at the end of the term (i.e.,
"term%"
). It plays nice with indexes when they're around.
Wildcard strings: Set them free (safely)!
Seeing \u0025
, which denotes %
, when setting wildcard strings might bewilder you. In reality, setting your parameter value directly with a %
symbol is usually your best bet:
Position your wildcard just right
Your wildcard's position within the search term can be a gamechanger. Check out these examples:
- Starts with term: Find terms where 'pattern' is followed by anything:
"pattern%"
. - Ends with term: To match any strings that end in 'pattern':
"%" + pattern
. - Contains term: Spot terms where 'pattern' is surrounded by any characters:
"%pattern%"
.
Was this article helpful?