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title: 'Read-Through Cache' sidebar_label: 'Read-Through Cache' sidebar_position: 2 description: 'Use Spice.ai as a read-through cache with the SQL results cache for federated data sources and HTTP APIs.' pagination_prev: null pagination_next: null

Spice.ai provides a read-through caching pattern through the SQL results cache. When a query is executed, the result is stored in an in-memory cache. Identical queries within the TTL window are served directly from memory without re-executing against the upstream data source. This works for both federated data sources (PostgreSQL, MySQL, S3, etc.) and HTTP API datasets.

For HTTP-based datasets, Spice also supports a dataset-level refresh_mode: caching that fetches data from the upstream API on cache miss and stores it in the local accelerator. The SQL results cache operates on top of this, adding a fast in-memory layer for repeated SQL queries.

Federated Data Sources

For datasets without acceleration enabled, queries are federated directly to the upstream source. The SQL results cache stores the output of these queries in memory, so that identical queries within the TTL return instantly without a network round-trip to the source.

This is effective for dashboards, reporting queries, or any workload where the same query is executed repeatedly within a short window against a remote database.

The first execution of SELECT * FROM customers WHERE region = 'us-west' federates the query to PostgreSQL. The result is cached in memory. Identical queries within 30 seconds return from the cache (HIT). Between 30 seconds and 5 minutes 30 seconds, stale results are served immediately (STALE) while Spice re-executes the query against the upstream source in the background. After 5 minutes 30 seconds without access, the entry is evicted and the next query is a MISS.

Configuration

Parameter	Default	Description
item_ttl	1s	Duration a cached entry is considered fresh.
stale_while_revalidate_ttl	0s	Grace period to serve stale entries while re-executing the query in the background.
eviction_policy	lru	Cache replacement policy. tiny_lfu provides higher hit rates for skewed access patterns.
cache_key_type	plan	plan matches semantically equivalent queries. sql matches only identical SQL strings (faster but stricter).
encoding	none	zstd compresses cached results to fit more entries in memory.

Cache-Control

Clients can control cache behavior per-request using the Cache-Control header (HTTP/Flight API) or the --cache-control flag (Spice SQL REPL):

The Results-Cache-Status response header indicates cache state: HIT, MISS, BYPASS, or STALE.

HTTP Data Sources

For HTTP-based datasets, Spice provides dataset-level caching with refresh_mode: caching. On a cache miss, Spice fetches data from the upstream API, returns it to the caller, and stores it in the local accelerator. The SQL results cache adds an in-memory layer on top, caching the output of SQL queries against the accelerated data.

In this configuration:

1. The first query fetches from the upstream API and caches the response in the accelerator.
2. The query result is also stored in the in-memory SQL results cache.
3. Identical SQL queries within 10 seconds are served from memory without touching the accelerator.
4. After 10 seconds, the query re-executes against the accelerator (still serving from the dataset cache if within the 30-second caching_ttl).

HTTP Dataset Cache Parameters

Parameter	Default	Description
caching_ttl	0s	Duration a cached entry in the accelerator is considered fresh.
caching_stale_while_revalidate_ttl	0s	Duration after TTL expiry during which stale data is served while revalidating in the background.
caching_stale_if_error	disabled	When enabled, serves stale cached data if the upstream fetch fails.

:::warning Do not configure stale_while_revalidate_ttl on both the SQL results cache (runtime.caching.sql_results) and the dataset caching accelerator (acceleration.params.caching_stale_while_revalidate_ttl) for the same dataset. Use one or the other to avoid conflicting revalidation behavior. :::

Benefits

• Read-Through for Any Source: The SQL results cache provides read-through semantics for any data source — federated databases, accelerated datasets, or HTTP APIs — with no application code changes.
• Reduced Upstream Load: Repeated queries are served from the in-memory cache, protecting upstream databases and APIs from read amplification.
• Stale-While-Revalidate: Expired entries are served immediately while Spice refreshes data in the background, avoiding latency spikes.
• Resilience: For HTTP sources, stale_if_error keeps the application functional during upstream outages.

Learn More

• Caching: Documentation for SQL results cache configuration, Cache-Control directives, stale-while-revalidate behavior, and response headers.
• Caching Refresh Mode: Documentation for HTTP dataset-level caching configuration.
• HTTP(s) Data Connector: Documentation for HTTP-specific parameters like allowed_request_paths and request filters.
• Data Acceleration: Documentation for acceleration engines and modes.