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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.”
Large-scale Salesforce object creation from spreadsheets requires understanding batch processing limits and API constraints. You need a system that optimizes performance while respecting platform limitations.
This guide covers batch processing limits, API considerations, and optimization strategies for enterprise-scale bulk operations.
Configurable batch processing handles large-scale operations using Coefficient
Coefficient handles large-scale object creation through configurable batch processing with specific limits designed to optimize performance. The system uses a default batch size of 1,000 records with a maximum of 10,000 records per batch, plus parallel processing capabilities for maximum efficiency.
How to make it work
Step 1. Understand batch processing limits and API constraints.
Coefficient uses a default batch size of 1,000 records per batch with a maximum of 10,000 records per batch (configurable in advanced settings). The system can execute multiple batches in parallel, controlled through advanced settings to prevent API limit issues. With MFA enabled, there’s a 2,000 row limit unless unique IDs are included in the data.
Step 2. Consider your Salesforce org’s API limitations.
The actual maximum depends on your Salesforce org’s API limits. Daily API calls vary by edition (Developer: 15,000, Enterprise: 100,000+). Salesforce limits concurrent requests, which Coefficient manages automatically through batch queuing. Each batch consumes API calls based on your org’s edition and usage patterns.
Step 3. Optimize performance for different operation sizes.
For small operations (under 1,000 records), use default settings for fastest processing. Medium operations (1,000-10,000 records) should monitor API usage and consider off-peak timing. Large operations (10,000+ records) should be broken into multiple sessions or use scheduled exports during low-usage periods.
Step 4. Handle error recovery for large batches.
Coefficient automatically selects the optimal API method (REST API or Bulk API) based on data volume and complexity. Advanced settings allow adjustment for orgs with complex trigger logic that might slow processing. If a large operation fails partway through, status tracking allows you to identify successful records and reprocess only failed records, preventing duplicate creation.
Scale your operations efficiently
Scalable batch processing makes Coefficient suitable for both small data corrections and enterprise-scale bulk operations while maintaining system stability. Try Coefficient for reliable large-scale Salesforce operations.
