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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.”
Coefficient solves the common NetSuite timeout issues that plague native export methods and basic API connections when handling datasets larger than 1000 rows. The solution lies in optimized data processing and proper pagination handling.
Here’s how to eliminate timeout errors and successfully import large NetSuite datasets without connection failures or incomplete data transfers.
Use SuiteQL queries for datasets over 1000 rows
Native CSV exports and basic API connections struggle with memory limitations and inefficient query processing. Coefficient’s optimized RESTlet architecture handles pagination automatically and processes data in efficient chunks without browser memory constraints.
How to make it work
Step 1. Switch to SuiteQL for large dataset imports.
Instead of using standard record imports, choose “SuiteQL Query” from Coefficient’s import options. SuiteQL supports up to 100,000 rows per query and processes data more efficiently than standard record pulls. Use queries like: SELECT * FROM customer WHERE datecreated >= ‘2024-01-01’ FETCH FIRST 50000 ROWS ONLY.
Step 2. Implement strategic filtering to reduce data volume.
Use date ranges to limit data volume instead of importing all-time data. Filter by subsidiary, department, or active records only. For example, import the last 90 days of transactions instead of historical data to stay well under timeout thresholds.
Step 3. Configure import limits and field selection.
Set row limits in your import configuration to process data in manageable batches. Import only required fields rather than all available fields to minimize data transfer. Use saved searches with pre-defined criteria to reduce processing overhead.
Step 4. Schedule imports during off-peak hours.
Time your large data imports when NetSuite system usage is lower in your organization. Check NetSuite’s system status and avoid peak business hours to improve import success rates for large datasets.
Step 5. Combine multiple smaller imports if needed.
If a single large import continues to timeout, break it into multiple smaller imports across different sheets. Import data by date ranges, subsidiaries, or record types, then combine the results using Google Sheets formulas or pivot tables.
Eliminate failed exports and incomplete data transfers
These strategies ensure reliable access to large NetSuite datasets while maintaining connection stability for imports that take 10-15 minutes to complete. Try Coefficient to handle your large NetSuite datasets without timeout frustrations.
