Xano

How to implement data caching in Xano?

Discover how to boost performance and speed with data caching in Xano. This guide walks through setting up efficient caching, step by step.

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Overview

Implementing data caching in Xano can give your API a performance boost by lessening the strain on your database and speeding up data access. With Xano's built-in caching, you can temporarily store data that's frequently accessed, cutting down on repetitive database hits. This means you'll need to set up cache settings, figure out how long the data stays fresh, and come up with strategies to update the cache when needed to keep the data accurate. Grasping these concepts allows you to balance between fresh data and speed, making your API more efficient and improving the user experience.

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How to implement data caching in Xano?

Step 1: Set Up a Cache Data Source

Alright, let's get started with setting up a cache data source in Xano. It's pretty straightforward.

  1. First, log in to your Xano account.
  2. Head over to Data Sources.
  3. Click on "Add Data Source".
  4. Choose the type of cache you want to use, like Redis.
  5. Fill in the connection details (host, port, password, etc.).
  6. Hit save to lock in your settings.

Step 2: Create a Cache Table

Next, we need a table to store our cache. Think of it as a special drawer for your data.

  1. Go to the "Database" tab in Xano.
  2. Click on "Add Table".
  3. Give your table a name, something like 'cache'.
  4. Add these columns:
  • key - for a unique identifier.
  • value - for the cached data.
  • timestamp - for when the cache should expire.
  1. Save your table schema.

Step 3: Implement Cache Logic in API Endpoints

Now, let's weave the cache logic into your API endpoints.

  1. Open the "API" section in Xano.
  2. Pick the API you want to add caching to, or create a new one.
  3. Add a "Query" to check for cached data before hitting the main data source.
  4. Structure your logic like this:
  • Check the cache table for a valid entry with the given key.
  • If there's a valid cache entry, return the cached data.
  • If not, fetch fresh data, store it in the cache, and return it.

Example Pseudocode:

IF cacheEntry EXISTS in cacheTable WHERE key = requestKey AND timestamp > currentTime RETURN cacheEntry.value ELSE freshData = FETCH from mainDataSource INSERT INTO cacheTable (key, value, timestamp) VALUES (requestKey, freshData, newExpirationTime) RETURN freshData

Step 4: Set Up Cache Validation and Expiration

We need to make sure our cache stays fresh and doesn't serve stale data.

  1. When storing cache data, set an expiration time (e.g., current time + cache duration).
  2. In your query logic, always compare the current time with the cache entry's timestamp.
  3. Regularly clean up expired cache entries using background jobs or triggers, if supported.

Example:

currentTime = GET current timestamp expirationTime = currentTime + cacheDuration cacheEntry = CHECK existing cache IF cacheEntry.timestamp < currentTime DELETE cacheEntry

Step 5: Test and Monitor the Cache

Finally, let's test and keep an eye on our cache to make sure it's working well.

  1. Make some test API requests to see if the data is being cached and retrieved correctly.

  2. Monitor cache hit and miss rates to see how effective it is.

  3. Tweak cache durations, invalidation policies, and optimize queries based on what you find.

  4. Use Xano's logging and analytics features to track how your caching mechanism is performing.

This guide walks you through setting up data caching in Xano, from creating a cache data source and table to implementing the logic and ensuring everything runs smoothly.

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