Optimize Shopify API performance with GraphQL query cost reduction, bulk operations, caching strategies, and Storefront API for high-traffic storefronts. Use when queries are slow or hitting THROTTLED errors, exporting large datasets, or optimizing API throughput for a high-traffic storefront. Trigger with phrases like "shopify performance", "optimize shopify", "shopify slow", "shopify caching", "shopify bulk operation", "shopify query cost".
Optimize Shopify API performance through GraphQL query cost reduction, bulk operations for large data exports, response caching, and Storefront API for high-traffic public-facing queries.
Shopify-GraphQL-Cost-Debug: 1 header for cost analysisUse the debug header to inspect requestedQueryCost vs actualQueryCost. Reduce cost by selecting only needed fields and lowering first: page sizes (250 to 50 can cut cost by 5x).
See Query Cost Optimization for debug commands and before/after examples.
Bulk operations bypass rate limits and are designed for exporting large datasets. Start a mutation, poll for completion, then download JSONL results.
See Bulk Operations for the complete mutation/poll/download flow and performance comparison table.
LRU cache layer with webhook-driven invalidation. Cache product data for 5 minutes, then clear on products/update webhook events.
See Response Caching for the complete implementation.
The Storefront API has separate rate limits and is designed for high-traffic public storefronts. Uses LATEST_API_VERSION from @shopify/shopify-api.
See Storefront API Usage for the complete implementation.
| Issue | Cause | Solution |
|---|---|---|
THROTTLED on every query | requestedQueryCost too high | Reduce first: and remove unused fields |
| Bulk operation FAILED | Query syntax error | Test query in GraphiQL first |
| Stale cache data | Cache not invalidated | Add webhook handlers to clear cache |
| Storefront API 403 | Wrong token type | Use Storefront API access token, not Admin |
A product sync job hits THROTTLED errors. Analyze the cost breakdown, reduce first: page sizes, and remove unused fields.
See Query Cost Optimization for debug commands and before/after examples.
Export 50,000 orders with line items using a bulk operation that bypasses rate limits and returns JSONL results.
See Bulk Operations for the complete mutation, polling, and download flow.
Add an LRU cache layer for product queries that auto-invalidates when products/update webhook events fire.
See Response Caching for the complete caching implementation.