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It only takes a minute to sign up. I am a developer for a Salesforce org that serves as a community portal for thousands of users. We have been consulting with a large team of developers for years and everything we have is custom coded. Our pages are built using AngularJS to remotely call Apex code.

We have a lot of callouts to external services and many times these callouts can run long. We are now running into issues where users are seeing the "Unable to Process Request - Concurrent requests limit exceeded" error.

Sometimes users see this error when they are trying to perform a callout. Sometimes it's when they are inserting a record and triggers are firing. The long-running code issue can be anywhere in our org. Another issue is error handling has been done very poorly, so if any process does run long, we most likely are not looking for it or logging it.

Other than enhancing the logging on our callouts, I do not know where to even begin to find other problematic code. Every developer before me has written code with no regards to limits, so inefficient code can be anywhere. Is there any way or best practice to being able to analyze such a complex org and find where the problems may be?

I have tried to replicate the issue in a sandbox however I cannot seem to get it working. I wrote Javascript to remotely call an Apex method that waits for 6 seconds.

I called this remotely 11 times at once, causing 11 synchronous transactions running concurrently each longer than 5 seconds. However instead of getting the concurrent limit error, each Apex transaction just errors out with a timeout. Any help would be greatly appreciated. Your best bet is to enable Governor Limits Warnings.

Platform Events: Inside and Out

You can also engage support, which can check the logs to determine which of your requests are running the longest. This information should generally be enough to narrow down the possibilities. A third option is to get your unit tests up to date, and run all your tests to see which tests are taking the longest. Even better, simulate callout times with spin loops of average API time, and assert that the governor limits are not above a certain threshold.

Also, if you're trying to get the concurrent limits to show up, try setting up more than just 11 calls at once. There's a bit of wiggle room.

Make it more like calls simultaneously logged in as multiple users. I know it'd be time consuming to set up, but I feel you could get some decent logs this way.

Lastly, you could always start optimizing your code. It sounds like you have a lot of technical debt, and now is the time to pay it down.Hint: This limit is different than the concurrent API request limit. Do you know the common architectural decisions that can cause your requests to hit this limit?

The multitenant Force. If a governor limit is exceeded, the associated execution governor limit issues a runtime exception that cannot be handled. When you design your applications, you can help plan for their growth by keeping these limits in mind. One of the limits customers frequently reach is the concurrent request limit. Once a synchronous Apex request runs longer than 5 seconds, it begins counting against this limit. Each organization is allowed 10 concurrent long-running requests.

If the limit is reached, any new synchronous Apex request results in a runtime exception. Ultimately, this limit is in place to protect the user experience. Would you want your users waiting 5 seconds or more for a page to load? You might need to tune these and other common components because the duration of their transactions counts toward the request limit. Take the concurrent request limit into consideration as you design your application around your business processes.

Does the business process need to be synchronous? Is batch processing possible? Can you use the Streaming API? The most common causes of limit errors are synchronous Web service callouts. If these external Web services cannot scale to your expected volumes, consider alternative solutions, such as using a callback instead of waiting for the callouts to complete.

To use a callback, just continue to make the synchronous callout. The following steps complete automatically after that. The performance of your queries and DML operations is another big contributor to long-running requests. As your data grows, inefficient SOQL affects Visualforce pages, detail pages, list views and reports. Refer to the Force. Data skew can also contribute to concurrent request limit errors.

Consider the following scenario. You have a parent object with 10, or more child objects. Ordinarily, when you insert or change an owner of a child object, the Force. However, because you have data skew, the platform holds this lock even longer while determining the appropriate record access. The wait time for your lock is included in your total request time, and it causes your request to run for more than 5 seconds.

To avoid data skew so that you can also avoid ending up in this situation, read Reducing Lock Contention by Avoiding Data Skew. With the ActionPoller component, you can poll by calling an Apex class. This can result in a large number of unneeded requests. For more scalable requests, use the Streaming APInot polling, to subscribe to near real-time notifications of changes to data. However, from an Apex perspective, both of these components are still synchronous requests that are similar to standard Visualforce requests, and they count toward your concurrency limit.

The concurrent request limit attempts to ensure a positive user experience by limiting the number of synchronous Apex requests running for more than 5 seconds. Once the limit is reached, new synchronous Apex requests are denied. This behavior can be disruptive to your work. Therefore, it is easier to avoid this limit when designing new applications than it is when tuning live applications.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

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salesforce concurrent request limit

For Example, If the Apex Class - is invoked from the lighting component. DML operation 20 sec. Check this link to find what all counts towards synchronous limits. What counts against limits? One of our integrations had this callout time issue and because it was not critical we had to set timeout and terminate the transactions after 3 seconds. Callout is not a very recommended integration pattern as it holds the server thread till the response comes back check if you can do call back instead.

Also if 10 such requests are running on your production org then the 11 long running request will be denied. Sign up to join this community. The best answers are voted up and rise to the top.

Designing Force.com Applications That Avoid Hitting Concurrent Request Limits

Home Questions Tags Users Unanswered. Concurrent requests limit exceeded [duplicate] Ask Question. Asked 1 year, 4 months ago. Active 1 year, 4 months ago.

Unable to process request / Concurrent Requests limit exceeded

Viewed 2k times. Carlos Naranjo 3, 3 3 gold badges 15 15 silver badges 26 26 bronze badges. Red Rick Red Rick 67 6 6 bronze badges. Active Oldest Votes. The SOQL time is counted towards the 10 seconds so in your case it needs to be tuned. Try creating a custom index or optimize the search spec 4. RedDevil RedDevil 6, 1 1 gold badge 13 13 silver badges 34 34 bronze badges. The Overflow Blog. Socializing with co-workers while social distancing.

Podcast Programming tutorials can be a real drag. Featured on Meta.Developer Documentation. No results found. To maintain optimum performance and ensure that the Lightning Platform API is available to all our customers, Salesforce balances transaction loads by imposing two types of limits:.

When a call exceeds a request limit, an error is returned. The following table lists the limits for various types of orgs for concurrent requests calls with a duration of 20 seconds or longer.

The following table lists the limits for the total API requests calls per hour period for an org. Limits and allocations are enforced against the aggregate of all API calls made to the org in a hour period. Limits and allocations are not on a per-user basis. You can configure your org so that email is sent to a designated user when the number of API requests has exceeded a specified percentage of the amount allotted.

If your org reaches or exceeds its daily API request limit, Salesforce still allows the operations to proceed by a certain amount, if possible. This helps avoid blocking your workflows during unexpected spikes in workloads and occasional peak periods. A hard cap is in place to safeguard platform resources and prevent API requests from exceeding the daily limit unimpeded.

The ability to go over your normal daily limit is always subject to restrictions to protect the overall health of the Salesforce instance that hosts your org. You can monitor the health of your instance on Salesforce Trust. This ability is designed to be used occasionally to help avoid interruptions in your workflow. To increase your allocation, contact your Salesforce account representative.

This ability only applies to paid orgs in active status. It does not apply to trial orgs, Developer Edition, or sandboxes. API request activity is aggregated into 30 day periods, starting with your contract start date, and includes calls that exceed the org's entitled limit.

The calculation of the API request amounts based on user licenses is designed to allow sufficient capacity for your org based on your number of users. For information, contact your account representative. If you use a partner product, consult with the vendor to verify that the product makes optimal use of the API. A product that makes inefficient use of the API incurs unnecessary costs for your company.

The following examples illustrate API usage metering calculations for several scenarios. Salesforce stores up to 2, characters for each third-party access token and 1, for each refresh token.

salesforce concurrent request limit

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salesforce concurrent request limit

Log Out. Learn more. New here? Sign Up Have an account? Sign In. Ask Search: Reset Search. Welcome to Support! Search for an answer or ask a question of the zone or Customer Support. Need help? Hi, My org - which uses SF strictly as a Customer Support case management tool - is interested in perhaps creating a number of "shared" accounts to allow multiple people to access the instance all the while saving on licensing fees.

Given this, does anyone know how many concurrent sessions Salesforce allows for any 1 active, user account? Also, does anyone foresee any issues that may occur from this practice I think the number of API calls may be one Just to clarify, there is no coding going on here.

Concurrent Request Limits

Jon Tresko This would be against Salesforce's terms and conditions. I would not recommend doing this. They do allow for multiple sessions, as there's reasons one user would be logged in from multiple browsers or devices concurrently. This can also be controlled from security settings to disallow multiple sessions. Services and Content are subject to usage limits, including, for example, the quantities specified in Order Forms.

Jeff May Each User should loog into the org with their own account. In addition to the license violation issue noted by others, as an Admin you need to be able to tell who did what. If you have multiple people using the same user account, you have no way of knowing who actually updated or deleted your data. Plus, you lose the ability to effectively use many of the Salesforce notification features since there is only a single email address for all those users.

Thompson would describe as "Bad Craziness". Michael Garcia Thanks, guys! I really appreciate all of your input and can happily confirm that we will NOT be implementing this at our end. Thanks for reply. Michael Taylor What if we have User Acceptance Testing scenarios where we have different users setup with different permissions and the testers need to log into each account in a non-prod sandbox to verify permissions for that user work appropriately.

salesforce concurrent request limit

It would be helpful to know. You need to sign in to do that. Need an account?GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Already on GitHub? Sign in to your account. When trying to import a contact list, I receive the above error. This error is typically caused when someone hits their SF API request limit, but I am getting 40, every 24 hours, and I only imported 1, leads. Checked again this morning and the Limit Exceed looks like it might be a text length issue, but I am not sure.

Be sure to remove sensitive information if applicable. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Labels Bug. Copy link Quote reply. What type of report is this: bug Q A Bug report? Yes Feature request? No Enhancement? No Description: When trying to import a contact list, I receive the above error.

I don't have any other major integrations that would consume the rest of the API requests. I cannot import leads from SFDC. Sign up for free to join this conversation on GitHub.

Already have an account? Sign in to comment. Linked pull requests. You signed in with another tab or window. Reload to refresh your session.

You signed out in another tab or window.Concurrency is when multiple processes are running at the same time. When too many processes are trying to do something simultaneously, that can slow the system down.

If your app has a lot of users doing something that calls out to another system, such as a Visualforce page that requests information from another source, you end up with many pages simultaneously waiting for a response. When the response from each callout takes longer than 5 seconds, you reach the concurrent long-running transaction limit.

It can take time to get them all to their floors. You can optimize by grouping floors in certain elevator banks, programming elevator banks to be more efficient about which floors a given car goes to. The Salesforce system is the same. We have a certain number of processes threads that can be used at any given time. Normally the processes run fast, and we do not experience slowdowns. However, the longer a process runs, the less available processing capacity we have.

To accommodate this, we allow only a certain number of long-running processes to function per org at a time. When you reach your limit, you cannot start a new long-running transaction until a previous one has completed.

Identifying long-running processes can take a bit of time. But the more you practice, the better you become.

How many concurrent sessions does Salesforce allow for any 1 active, user account?

Generally, these processes fall into a few buckets:. A common development pitfall is the assumption that trigger invocations never include more than one record. Apex triggers are optimized to operate in bulk, which, by definition, requires developers to write logic that supports bulk operations. This pattern respects the bulk nature of the trigger by passing the Trigger. This pattern captures all incoming records within the request while limiting the number of SOQL queries. You can take several approaches to reduce the complexity of your queries.

Sometimes you can only go so far squeezing efficiency out of your queries, but the more effective they are, the better. Salesforce provides the Query resource so you can get information about how Salesforce executes your query. Using this resource, you can see which approaches are the most effective ones. Use the ones you can. The more efficient your queries, the more likely they can avoid limits and run fast.

Here are some examples. Use asynchronous callouts to make long-running requests from a Visualforce page to an external Web service and process responses in callback methods. As a result, you can make more long-running callouts and you can integrate your Visualforce pages with complex back-end assets. This diagram shows the execution path of an asynchronous callout, starting from a Visualforce page. A user invokes an action on a Visualforce page that requests information from a Web service step 1.

The app server hands the callout request to the Continuation server before returning to the Visualforce page steps 2—3. The Continuation server sends the request to the Web service and receives the response steps 4—7then hands the response back to the app server step 8. Finally, the response is returned to the Visualforce page step 9. A typical Salesforce application that benefits from asynchronous callouts contains a Visualforce page with a button.


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