I have an Apex Controller that is sporadically bumping up against the SOQL Governor limit when executing some functionality.

The functionality does some queries and updates some values which executes some triggers, which do more queries. Basically a bunch of Apex classes are running in the call-chain. I'm trying to find out which pieces are piling up the most queries and see how it can be optimized.

I'm trying to use the Analysis perspective in Developer console to see where I'm at limit-wise.

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This shows me the total number of queries compared to the limit. Is there a way to break it down so it can show me the number of queries executed by each class in the call-chain?


4 Answers 4


Open Debug > Change Log Levels. Set the debug level of profiling, apex as fine. Check below: (Also better to set expiration to 11.30pm)

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Now, when you get log, open it and open Debug > View log panels. and select Execution log and execution overview. you will see as below:

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Here you can see count of each query and time taken and other things. If you select it you can see from which line numbers its coming. Select the SOQL above and remove filter. Then in lines above that soql you will see which class it has entered.

Now I removed filter:

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Now you can see that query is in line122 and in line 78, you can see className.MethodName(Parameters)


Use Profiling. By going in to the Developer Console, you can go to Debug > Change Log Levels, then modify the debug logging to include "Profiling" set to "FINEST". From there, run your execution, and afterwards, you'll get a section in your debug logs that show you which queries were executed, and how many times.

For example, here's an example from my dev org:

09:38:20.332 (1332704580)|CUMULATIVE_PROFILING|SOQL operations|
Trigger.myNS.myTrigger: line 12, column 1: [
            SELECT AccountId Id, COUNT(Id) total FROM Opportunity
            WHERE AccountId = :accountSum.keySet() GROUP BY AccountId]: executed 5 times in 13 ms

This shows that a query was executed 5 times, from a particular trigger (it could also be a class, such as Class.myNS.myClass). From there, you can determine both how many times it executed and how long it took in "database time", which affects the length of the transaction. This will give you an idea on where to focus your optimization efforts.

  • Profiling set to finest runs into truncated logs many times in my exp. Info is just enough. Jul 24, 2019 at 17:09
  • 1
    @salesforcesas I usually turn the other flags to NONE when I do that, it ends up being a respectably small log. Of course, YMMV, but you might try that out sometime.
    – sfdcfox
    Jul 24, 2019 at 17:53
  • +1 -- I never knew this. Thanks!
    – cropredy
    Jul 25, 2019 at 1:44

That depends on which objects you are updating, and how you have written triggers. If you think you can bypass the execution of trigger after a dml, then please do bypass. This avoids trigger recursion. Also make sure process builders are not executing multiple times and workflows as well. To avoid multiple execution of process builders and workflows, have a check that does update only if the particular field value is changed or empty before. These kind of checks avoid multiple executions.

  • Those are the type of improvements I am looking to make. This is code that was not originally written by me, so I am unsure which spots can be bypassed without looking into it further. What I was hoping is there would be a way to see number of queries per class, or method or something more granular to the call chain so I can try to identify spots for improvement like is mentioned. Jul 24, 2019 at 15:27
  • Well what can I think right now is, have a static integer as a counter in each class, and increment it whenever a query is made. This way you can have the count. Jul 24, 2019 at 15:32

Have a static integer as a counter in each class, and increment it whenever a query is made. This way you can have the count.

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