Partial data imports happen because of API pagination limitations, Google Apps Script memory constraints (32MB limit), or timeout errors that truncate large datasets. Native Google Sheets functions have row limits and custom scripts fail to handle pagination properly.
Here’s how to ensure complete data retrieval regardless of dataset size with automatic pagination handling and enterprise-grade data processing.
Import complete datasets using Coefficient
CoefficientHubSpotaddresses partial import issues through enterprise-grade data handling infrastructure that automatically manages pagination for large datasets. The platform can import unlimited rows fromand other sources without the truncation issues that plague native Google Sheets integrations.
How to make it work
Step 1. Recreate your data pulls using Coefficient’s import system.
Set up your data imports through the platform’s infrastructure that handles complete data retrieval automatically. The system manages pagination behind the scenes regardless of source API limitations.
Step 2. Import unlimited rows without memory constraints.
Pull complete datasets with minimum 50,000 row support (unlimited in practice) without hitting Google Apps Script memory limits that cause truncation in custom integrations.
Step 3. Use filtering for focused data subsets when needed.
Apply up to 25 filters across 5 filter groups to focus imports on specific data subsets. This is more reliable than trying to filter large datasets after import, which can cause memory issues.
Step 4. Verify data completeness with row count indicators.
Check row counts and data completeness through sidebar status indicators to confirm your reports contain all available data from the source system instead of guessing about completeness.
Get your complete datasets
Import complete datasetsStop wondering if your reports contain all available data and eliminate the guesswork of partial imports.with Coefficient for reporting you can trust.