I was told that it is a bad practice to use a query (select) within a loop because it slows down server performance.
I have an array such as
Array ( [1] => Los Angeles )
Array ( [2] =>New York)
Array ( [3] => Chicago )
These are just 3 indexes. The array I'm using does not have a constant size, so sometimes it can contain as many as 20 indexes.
Right now, what I'm doing is (this is not all of the code, but the basic idea)
- For loop
- query the server and select all people's names who live in "Los Angeles"
- Print the names out
Output will look like this:
Los Angeles
Michael Stern
David Bloomer
William Rod
New York
Kary Mills
Chicago
Henry Davidson
Ellie Spears
I know that's a really inefficient method because it could be a lot of queries as the table gets larger later on.
So my question is, is there a better, more efficient way to SELECT information based on the stuff inside an array that can be whatever size?
Use an
IN
query, which will grab all of the results in a single query:As @MrCode mentions, you can use MySQL's
IN()
operator to fetch records for all of the desired cities in one go, but if you then sort your results primarily by city you can loop over the resultset keeping track of the last city seen and outputting the new city when it is first encountered.Using PDO, together with MySQL's
FIELD()
function to ensure that the resultset is in the same order as your original array (if you don't care about that, you could simply doORDER BY city
, which would be a lot more efficient, especially with a suitable index on thecity
column):To further add to MrCodes answer, if you start with an array:-
As a database design issue, you probably should have the town names in a separate table and the table for the person contains the id of the town rather than the actual town name (makes validation easier, faster and with the validation less likely to miss records because someone has mistyped their home town)
That's the purpose of prepared statements. You bind a placeholder to a value, and use it like a variable, with the same query. Since the query hasn't changed, you minimize the communication with the mysql server, resulting in an efficiency boost.
Example using PDO: