Dynamics Community Forum Thread Details

Hello SatyamPrakash,

Implementing batch processing using JavaScript in Dynamics 365 CRM can significantly improve performance when dealing with multiple record updates or retrieves. Here's a breakdown of how to achieve this, along with important considerations:

Understanding the Need for Batch Processing:

Performance Bottlenecks:
- Making individual Xrm.WebApi calls for each record can be slow, especially when dealing with large datasets.
- Network latency and server-side processing overhead can add up.
API Limits:
- Dynamics 365 has API limits that can be exceeded when making too many individual requests.
User Experience:
- Batch processing can provide a smoother and faster user experience.

Implementation Strategies:

Xrm.WebApi.executeMultiple:
- This is the primary method for batch processing in Dynamics 365's JavaScript API.
- It allows you to send multiple create, update, delete, and retrieve requests in a single API call.
- This significantly reduces network overhead and improves performance.

Example: Batch Update:
JavaScript

async function batchUpdateRecords(entityName, recordsToUpdate) {
    if (!recordsToUpdate || recordsToUpdate.length === 0) {
        return;
    }
let batchRequests = recordsToUpdate.map(record => {
        return {
            entityType: entityName,
            entityId: record.id,
            data: record.data,
            getMetadata: false,
            operationType: "Update"
        };
    });
try {
        let batchResponse = await Xrm.WebApi.executeMultiple({
            requests: batchRequests,
            returnContent: false,
            continueOnError: false
        });
if (batchResponse.responses) {
            batchResponse.responses.forEach(response => {
                if (response.ok) {
                    console.log("Record updated successfully: " + response.id);
                } else {
                    console.error("Error updating record: " + response.status + " - " + response.statusText);
                }
            });
        }
    } catch (error) {
        console.error("Error executing batch update: " + error.message);
    }
}
// Example usage:
let recordsToUpdate = [
    { id: "recordId1", data: { name: "Updated Name 1" } },
    { id: "recordId2", data: { name: "Updated Name 2" } },
    // ... more records
];
batchUpdateRecords("account", recordsToUpdate);

Example: Batch Retrieve:
JavaScript

async function batchRetrieveRecords(entityName, recordIds) {
    if (!recordIds || recordIds.length === 0) {
        return;
    }
let batchRequests = recordIds.map(id => {
        return {
            entityType: entityName,
            entityId: id,
            operationType: "Retrieve"
        };
    });
try {
        let batchResponse = await Xrm.WebApi.executeMultiple({
            requests: batchRequests,
            returnContent: true,
            continueOnError: false
        });
if (batchResponse.responses) {
            batchResponse.responses.forEach(response => {
                if (response.ok && response.result) {
                    console.log("Retrieved record: ", response.result);
                } else {
                    console.error("Error retrieving record: " + response.status + " - " + response.statusText);
                }
            });
        }
    } catch (error) {
        console.error("Error executing batch retrieve: " + error.message);
    }
}
// Example usage:
let recordIds = ["recordId1", "recordId2", "recordId3"];
batchRetrieveRecords("account", recordIds);

Important Considerations:

Error Handling:
- Implement robust error handling to gracefully handle failures.
- The executeMultiple response provides information about the success or failure of each individual request.
Transaction Limits:
- Be aware of Dynamics 365's transaction limits.
- For very large datasets, you might need to break the batch into smaller chunks.
Concurrency:
- Consider the impact of concurrent batch operations on system performance.
Asynchronous Operations:
- The Xrm.WebApi.executeMultiple is asynchronous. Handle the responses correctly.
Performance Testing:
- Thoroughly test your batch processing code to ensure that it meets your performance requirements.
Plugin Alternatives:
- For server-side batch operations, consider using plugins instead of JavaScript. Plugins can provide better performance and control.
Data Consistency:
- when updating records, be aware of data consistency, and that one failed record in the batch, will not rollback the other successful records.
API Limits:
- Be aware of the Dynamics 365 API limits, to prevent your code from being throttled.

By using Xrm.WebApi.executeMultiple, you can significantly improve the performance of your Dynamics 365 JavaScript code when working with multiple records.

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My response was crafted with AI assistance and tailored to provide detailed and actionable guidance for your Microsoft Dynamics 365 query.

Regards,
Daivat Vartak