Salesforce Governor Limits
Governor limits in Salesforce are used to ensure the effective use of resources on the Force.com multi-tenant platform. In order to execute the code efficiently, Salesforce.com sets some limits.
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What are Governor Limits in Salesforce?
To ensure that no one acquires resources from others, Force.com sets many restrictions that limit normal code execution. Salesforce has to do this because of its multi-tenant architecture, where all organizations and customers share a single resource. If one of the governor’s limits is not met, an error will be raised and the program will stop or halt. Therefore, it is important to ensure that our code is scalable and does not violate governor limits. These limits are called the single transaction basis, a single trigger execution.
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Types of Salesforce Governor Limits
- Per-transaction Certified Managed Package Limits
- Static Apex Limits
- Per-transaction Apex Limits
- Lightning Platform Apex Limits
- Size-specific Apex Limits
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Lists of Governor Limits in Salesforce
Here are the lists of Governor Limits in Salesforce.
Major Governor Limits
Here is a Salesforce Governor Limits cheat sheet that overviews the essential limits that everyone should be aware of know:
| Overview |
Governor Limit |
| The total number of SOSL queries issued in Salesforce |
20 |
| DML Governor Limits in Salesforce (Total number of statements issued per transaction) |
150 |
| Total number of records retrieved by a single SOSL query |
2000 |
| Total number of records retrieved by SOQL queries |
50000 |
| Total number of records retrieved by Database.getQueryLocator |
10000 |
| Salesforce Governor Limits for heap size total |
6 MB/12 MB |
Per-transaction Certified Managed Package Limits
Certified managed packages are managed packages that have passed AppExchange security checks for most transaction limits. Certified managed packages are developed by Salesforce ISV partners and installed in our org from AppExchange under a unique namespace.
With this governor limit, there is no limit to the number of certified namespaces that can be accessed through a single transaction. However, the prerequisite is that the number of operations that can be performed in a single namespace does not exceed the per-transaction limits. In addition, the total number of operations that can be performed in any transaction across the namespace is limited. The total limit for each namespace is 11 times. Shared limits on all namespaces are not affected by collective limits, such as a limit on maximum CPU time.
| Description |
Cumulative Cross-namespace Limits |
| The total number of SOQL queries issued |
1,100 |
| The total number of records retrieved by Database.getQueryLocator |
110,000 |
| The total number of SOSL queries issued |
220 |
| The total number of DML statements issued |
1,650 |
| The total number of callouts (either HTTP requests or Web services calls) in a transaction |
1,100 |
| The total number of sendEmail methods allowed |
110 |
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All transaction limits count individually for certified managed packages expect:
- Maximum CPU time
- Total heap size
- Maximum number of unique namespaces
- Maximum transaction execution time
Each of these limits applies to all transactions, even as the number of certified managed packages running in the same transaction. If we install an AppExchange package created by an uncertified Salesforce ISV partner, the code for that particular package will not have its own governor limits. All resources used by the package are counted toward the total governor limit of the org. All collection resource messages and warning messages are also generated based on the corresponding package namespace.
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Static Apex Limits
So far, we know that there are different governor limits for each description we give in Apex. There are more governor limits for Static Apex, i.e., for different kinds of callouts, queries, loops, records, and batch sizes, along with different transactions. Let’s look at these limits individually:
| Description |
Limits |
| The default timeout of callouts (either HTTP requests or Web services calls) in a transaction |
10 seconds |
| The maximum size of the callout request or response (either HTTP request or Web services call) |
6 MB for synchronous Apex or 12 MB for asynchronous Apex |
| The maximum SOQL query runtime before Salesforce cancels the transaction |
120 seconds |
| The maximum number of class and trigger code units in the deployment of Apex |
5,000 |
| Apex trigger batch size |
200 |
| For loop list batch size |
200 |
| The maximum number of records that are returned for a Batch Apex query in Database.QueryLocator |
50 million |
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Per-transaction Apex Limits
Per-transaction Apex Limits are used for counting each Apex transaction. When we talk about Batch Apex, these specific limits in the execution method for executing each batch of records will be reset. The following table summarizes the limits for the synchronous and asynchronous Apex:
| Description |
Synchronous Limits |
Asynchronous Limits |
| The total number of SOQL queries issued |
100 |
200 |
| The total number of records retrieved by SOQL queries |
50,000 |
|
| The total number of records retrieved by Database.getQueryLocator |
10,000 |
|
| The total number of SOSL queries issued |
20 |
|
| The total number of records retrieved by a single SOSL query |
20,000 |
|
| The total number of DML statements issued |
150 |
|
| The total number of records processed as a result of DML statements, Approval.process, or database.emptyRecycleBin |
10,000 |
|
| The total stack depth for any Apex invocation that recursively fires triggers with insert, update, or delete statements |
16 |
|
| The total number of callouts (either HTTP requests or Web services calls) in a transaction |
100 |
|
| The maximum cumulative timeout for all callouts (either HTTP requests or Web services calls) in a transaction |
120 seconds |
|
| The maximum number of methods with the future annotation allowed per Apex invocation |
50 |
0 in batch and future contexts and 1 in the queueable context |
| The maximum number of Apex jobs added to the queue with System.enqueueJob |
50 |
1 |
| The total number of sendEmail methods allowed |
10 |
|
| The total heap size |
6MB |
12MB |
| The maximum CPU time on Salesforce servers |
10,000 milliseconds |
60,000 milliseconds |
| The maximum execution time for each Apex transaction |
10 minutes |
|
| The maximum number of push notification method calls allowed per Apex transaction |
10 |
|
| The maximum number of push notifications that can be sent through each push notification method call |
2,000 |
|
Lightning Platform Apex Limits
The following limits do not apply to Apex transactions and are therefore managed by the Lightning platform.
| Description |
Limit |
| The maximum number of asynchronous Apex method executions (Batch Apex, future methods, Queueable Apex, and Scheduled Apex) per 24-hour period |
Either 250,000 or the number of user licenses in the org multiplied by 200, whichever is greater |
| The number of synchronous concurrent transactions for long-running transactions, which last longer than 5 seconds for each org. |
10 |
| The maximum number of Apex classes scheduled concurrently |
100. In Developer Edition org, the limit is 5 |
| The maximum number of Batch Apex jobs in the Apex flex queue that is in the Holding status |
100 |
| The maximum number of Batch Apex jobs queued or active concurrently |
5 |
| The maximum number of Batch Apex job start method concurrent executions |
1 |
| The maximum number of batch jobs that can be submitted in a running test |
5 |
| The maximum number of test classes that can be queued in a 24-hour period (in Production org other than Developer Edition) |
Either 500 or 10 multiplied by the number of test classes in the org, whichever is greater |
| The maximum number of test classes that can be queued in a 24-hour period (Sandbox and Developer Edition org) |
Either 500 or 20 multiplied by the number of test classes in the org, whichever is greater |
| The maximum number of query cursors open concurrently per user |
50 |
| The maximum number of query cursors open concurrently per user for the Batch Apex start method |
15 |
| The maximum number of query cursors open concurrently per user for Batch Apex execute and finish methods |
5 |
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Size-specific Apex Limits
Size-dependent Apex Limits are specifically designed to ensure that there are no oversized items in classes, triggers, org, etc.
The following table gives the limits for each of these:
| Description |
Limit |
| The maximum number of characters in a class |
1 million |
| The maximum number of characters in a trigger |
1 million |
| The maximum amount of code used by all Apex codes in org1 |
6 MB |
| The method size limit 2 |
65,535 bytecode instructions in a compiled form |
Difference Between Synchronous and Asynchronous Execution
An Apex code can be run synchronously or asynchronously.
In synchronous execution, all of the code gets executed at once.
In asynchronous execution, a part of the process gets executed in the background after some time as a separate thread step. In such a scenario, users don’t need to wait for the process to finish. Asynchronous execution has bigger governor limits.
Advantages of Governor Limits in Salesforce
- Governor limits in Salesforce prevent other org from using and hence executing lengthy code, which can take up a lot of space in the memory and even the entire cloud CPU.
- Apex has completely different or unique coding limits.
- These governor limits help us stay in the right space of coding with Apex.
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How can you avoid Salesforce Governor Limits?
As a developer, we need to ensure that our code is scalable and does not exceed the governor limits. But how? Follow this process to meet the governor limits in Salesforce:
- Do not have DML statements or SOQL queries in our FOR loop
- Try not to use SOQL or DML operations in the loop
- Try to bulkify the code and helper methods
- Query large data sets
- Use Batch Apex if we want to process 50,000 records
- Streamline various triggers on the same object
- Use streamlining queries and collections for loops
I hope you now understand how the governor limits work in Apex and how to avoid them.
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Conclusion
We hope you now understand how the governor limits work in Apex and how to avoid them. When working on code and managing the organization, it is crucial to be aware of the limits that Salesforce has.