shopify-performance-tuning
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".
What this skill does
# Shopify Performance Tuning ## Overview 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. ## Prerequisites - Understanding of Shopify's calculated query cost system - Access to the `Shopify-GraphQL-Cost-Debug: 1` header for cost analysis - Redis or in-memory cache available (optional) ## Instructions ### Step 1: Analyze and Reduce Query Cost Use 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](references/query-cost-optimization.md) for debug commands and before/after examples. ### Step 2: Use Bulk Operations for Large Exports 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](references/bulk-operations.md) for the complete mutation/poll/download flow and performance comparison table. ### Step 3: Cache Frequently Accessed Data LRU cache layer with webhook-driven invalidation. Cache product data for 5 minutes, then clear on `products/update` webhook events. See [Response Caching](references/response-caching.md) for the complete implementation. ### Step 4: Use Storefront API for Public Queries 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](references/storefront-api-usage.md) for the complete implementation. ## Output - Query costs reduced through field selection and page size optimization - Bulk operations configured for large data exports - Response caching with webhook-driven invalidation - Storefront API used for public-facing high-traffic queries ## Error Handling | 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 | ## Examples ### Reducing Query Cost on a Product Sync A product sync job hits THROTTLED errors. Analyze the cost breakdown, reduce `first:` page sizes, and remove unused fields. See [Query Cost Optimization](references/query-cost-optimization.md) for debug commands and before/after examples. ### Exporting Orders with Bulk Operations Export 50,000 orders with line items using a bulk operation that bypasses rate limits and returns JSONL results. See [Bulk Operations](references/bulk-operations.md) for the complete mutation, polling, and download flow. ### Caching Product Data with Webhook Invalidation Add an LRU cache layer for product queries that auto-invalidates when `products/update` webhook events fire. See [Response Caching](references/response-caching.md) for the complete caching implementation. ## Resources - [GraphQL Rate Limits](https://shopify.dev/docs/api/usage/rate-limits#graphql-admin-api-rate-limits) - [Bulk Operations](https://shopify.dev/docs/api/usage/bulk-operations/queries) - [Storefront API](https://shopify.dev/docs/api/storefront) - [Query Cost Debug Header](https://shopify.dev/docs/api/usage/rate-limits#query-cost)
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