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Tips to improve Query Performance

What are some of the best practices of optimising gosu query performance ?

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Posted 4 years ago
  
  

These tips for improving query performance are invaluable, especially for businesses relying on databases as their daily driver service in Dubai. Optimizing queries not only enhances user experience but also ensures seamless, efficient operations, making pick and drop service in dubai a smoother journey for both businesses and their clients. Great insights!

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While there are many functions, here is a handy list of properties that should be used whenever a [color=blue]query API[/color] is used to fetch results.

Empty – Informs whether the result set (of multiple items) is empty. The common mistake is to use Count property just to understand if there are rows that match the query. Do not use Count property if we only want to know if there are rows that match our query in the data set. Relational query performance often improves if you use Empty property.

Pls use the following best practices

// Correct

var results = Query.make(Person).compare(Person#Code,Equals, code). withLogSQL(true).select()
if(results.Empty) // This is the right WAY !
{ 
     // Logic here 
} 

//INCORRECT

var results = Query.make(SomeEntity).compare("Code_Ext", Equals, code).withLogSQL(true).select()

if(results.Count > 0) // This is NOT the right WAY !{ 
     // Logic here 
}

• AtMostOneRow – Use this whenever a maximum of 1 result is expected.

var account =  Query.make(Account).compare(Account#AccountNumber, Equals, accountNumber).select().AtMostOneRow

FirstResult – DO NOT use first(). The first() function loads the entire result set into a collection.
Instead use FirstResult , when multiple results may be retrieved, but any result from the result set would suffice. Relational query performance often improves when we use the FirstResult property to access only the first item in a result.

var result = Query.make(Person).compare(Person#Code,Equals, code). withLogSQL(true). select().FirstResult

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Posted 4 years ago
  
  

Nice

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