Nathan Rixham napsal(a):
Ashley Sheridan wrote:
On Thu, 2009-02-05 at 09:44 +1100, Chris wrote:
PHP wrote:
Hi all,
I am seeking some knowledge, hopefully I explain this right.
I am wondering what you think is faster.
Say you have 1000 records from 2 different tables that you need to
get from a MySQL database.
A simple table will be displayed for each record, the second table
contains related info for each record in table 1.
Is if faster to just read all the records from both tables into two
arrays, then use php to go through the array for table 1 and figure
out what records from table 2 are related.
Or, you dump all the data in table 1 into an array, then as you go
through each record you make a database query to table 2.
Make the db do it.
PS:
I know I can use a join, but I find anytime I use a join, the
database query is extremely slow, I have tried it for each version
of mysql and php for the last few years. The delay difference is in
the order of 100x slower or more.
Then you're missing indexes or something, I've joined tables with
hundreds of thousands of records and it's very fast.
--
Postgresql & php tutorials
http://www.designmagick.com/
I've used joins on tables with millions of rows, and it's still not been
too slow to use. Admittedly it was an MSSQL database, which I've always
found to be slower, but MySQL was built to be a relational database, and
can handle many many millions of records quite happily. The slowdown you
experienced is either not using indexes on tables, or the way you were
displaying/manipulating those results from within PHP.
Ash
www.ashleysheridan.co.uk
and if you use spatial indexes and points instead of integers you can
join on the biggest of databases with literally no perfomance hit, same
speed regardless of table size :p (plus cos a point has two values you
can use one for id and the other for timestamp ;)
regards
ps: i've said this many times before, but not for like 6 months so time
for another reminder
"MySQL supports spatial extensions to allow the generation, storage, and
analysis of geographic features."
So, I use spatial indexes when creating a geographic map? Is it good for
anything else?
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