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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Salesforce governor limits including API call limits, concurrent request restrictions, bulk operation timeouts, and query complexity limitations become critical during large data syncs, often causing failures or incomplete transfers.
Here’s how these limits impact connector performance and how to optimize large-scale data operations while staying within platform constraints.
Optimize performance within governor limits using Coefficient
Coefficient manages Salesforce governor limits through configurable batch processing, parallel execution control, REST and Bulk API support, and intelligent API management that ensures reliable large-scale operations.
How to make it work
Step 1. Configure batch processing for optimal performance.
Set up configurable batch sizes with default 1000 records per batch and maximum 10,000 records, allowing optimization based on your org’s limits. Configure parallel batch execution control to manage concurrent API calls within daily and concurrent limits.
Step 2. Implement API optimization and selection.
Configure automatic selection between REST API and Bulk API based on data volume and operation type. Set up custom SOQL query support that enables efficient data retrieval with proper indexing and query optimization for complex joins.
Step 3. Set up scheduled operations for limit management.
Configure scheduled operations that distribute large syncs across multiple time windows to manage daily API quotas. Use timezone-based scheduling to optimize API usage across global teams and implement Refresh All capability for multiple imports.
Step 4. Handle MFA considerations and row limits.
Configure the 2K row limit with MFA enabled (bypassed when unique ID field included) and set up automatic throttling with retry logic when approaching daily API limits. Implement incremental updates through Append New Data functionality to reduce full dataset refreshes.
Step 5. Monitor performance and error handling.
Set up intelligent query splitting for complex joins and large datasets to prevent query timeouts. Configure queue management that prevents overwhelming Salesforce APIs and implement failed batch handling that doesn’t prevent successful records from processing.
Achieve reliable large-scale Salesforce operations
Governor limit constraints can disrupt your data workflows and prevent successful large-scale synchronization between Salesforce and Google Sheets. Optimize your data operations with Coefficient’s comprehensive approach to ensure reliable performance while maintaining optimal Salesforce org health.
