We\'ve tested with 1 million records on every table, results were fine, always under 0,08. So we implemented on our server but it\'s very slow there, taking up to 36 secs.
I have a strong feeling that all mathematical operations unnecessary to the query itself ought to be preformed outside of the query. For example:
This is a sql query that I am using in a page that I am building.It currently runs about 8 seconds and returns 12000 records, which is correct but I am wondering if you could make possible suggestion
I have a query: SELECT * FROM amp_ads,amp_c,amp_c_countries WHERE (amp_c.zone = \'24\' OR amp_c.zone = \'25\') AND
Got this ugly piece of code that I\'d like to make run faster. It worked alright until I had to add the setMotherTableValues() method aswell. As it is now I\'m doing that mothertable-lookup about 48 0
I need to achieve some thing like this SELECT ISNULL(AVG(rating),0) FROM videorating vr WHERE vr.VideoId=11229;
I have a 250Mb file to be read. And the application is multi threaded. If i allow all threads to read the file the memory starvation occurs.
Let\'s say I have the table my_table(id int not null primary key, datafield varchar(100)).Query SELECT * from my_table where id = 100 performs an index seek. If I change it to
Is there开发者_运维百科 a performance difference between these two? select * from tableA INNER JOIN tableB ON tableA.type = ? AND tableB.ref = tableA.id
I created a code that changes the position of the background when mouse over, I\'m pleased with how it works, but I have about 50 possible positions and this code looks very cumbersome. Rows with \"mo
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