Code Usage

Learn how to leverage Redis caching in BoxLang applications using built-in functions and components for objects, queries, and content.

🎯 Overview

Once you have configured your Redis cache provider in your Application.bx or boxlang.json, you can leverage BoxLang's built-in caching BIFs and components to interact with Redis. This page demonstrates practical examples of caching various types of data using the standard BoxLang caching API.

Important: Cache get() operations return an Attempt object - a functional wrapper that elegantly handles the presence or absence of cached data without null-related issues. Other operations like set(), clear(), and lookup() return their respective types (void, boolean, etc.).

📦 Cache BIFs

BoxLang provides several Built-In Functions for cache operations:

BIF

Purpose

Returns

cache()

Get a cache instance by name

ICacheProvider

cacheFilter()

Create pattern filters for bulk operations

ICacheKeyFilter

cacheNames()

List all registered cache names

Array

cacheProviders()

List all registered cache providers

Array

cacheService()

Access the cache service directly

CacheService

The cache() BIF returns an instance of ICacheProvider which provides a rich interface for working with caches. See the complete BoxLang Cache API Documentation for all available methods.

🗄️ Caching Objects

Basic Object Caching

// Store user data in Redis
userData = {
    "userID": 123,
    "name": "John Doe",
    "email": "[email protected]",
    "preferences": { "theme": "dark", "language": "en" }
};

// Cache for 30 minutes (1800 seconds)
cache( "redis" ).set( "user:123", userData, 1800 );

// Retrieve from cache
userAttempt = cache( "redis" ).get( "user:123" );

// Handle the Attempt safely
if ( userAttempt.isPresent() ) {
    user = userAttempt.get();
    writeOutput( "Welcome back, #user.name#!" );
} else {
    // Load from database if not cached
    user = loadUserFromDatabase( 123 );
    cache( "redis" ).set( "user:123", user, 1800 );
}

Functional Approach with Attempt

// Elegant one-liner with default value
user = cache( "redis" )
    .get( "user:123" )
    .getOrDefault( { "userID": 0, "name": "Guest" } );

// Chain with fallback loading
user = cache( "redis" )
    .get( "user:123" )
    .orElseGet( () => {
        var loadedUser = loadUserFromDatabase( 123 );
        cache( "redis" ).set( "user:123", loadedUser, 1800 );
        return loadedUser;
    } );

// Throw if not found
user = cache( "redis" )
    .get( "user:123" )
    .orThrow( "UserNotFound", "User 123 not found in cache" );

Complex Object Caching

// Cache application configuration
appConfig = {
    "database": {
        "host": "db.example.com",
        "port": 5432
    },
    "features": {
        "enableBeta": true,
        "maxUploadSize": 10485760
    },
    "apiKeys": {
        "stripe": getSystemSetting( "STRIPE_KEY" ),
        "sendgrid": getSystemSetting( "SENDGRID_KEY" )
    }
};

// Cache for 1 hour
cache( "redis" ).set( "app:config", appConfig, 3600 );

// Retrieve and use
config = cache( "redis" ).get( "app:config" ).get();
dbHost = config.database.host;

Bulk Object Operations

// Cache multiple objects at once
users = {
    "user:123": { "name": "John", "email": "[email protected]" },
    "user:456": { "name": "Jane", "email": "[email protected]" },
    "user:789": { "name": "Bob", "email": "[email protected]" }
};

// Set all at once (30 minute timeout)
cache( "redis" ).set( users, 1800 );

// Retrieve multiple objects
userIDs = [ "user:123", "user:456", "user:789" ];
cachedUsers = cache( "redis" ).get( userIDs );

// Process results
for ( var key in cachedUsers ) {
    cachedUsers[ key ]
        .ifPresent( ( user ) => {
            writeOutput( "Found: #user.name#<br>" );
        } )
        .ifEmpty( () => {
            writeOutput( "Not cached: #key#<br>" );
        } );
}

Get-or-Set Pattern

The getOrSet() method provides an atomic operation that retrieves a cached value or computes and stores it if not found - eliminating race conditions and double-lookup patterns:

// Basic get-or-set with default timeouts
userData = cache( "redis" ).getOrSet( "user:123", () => loadUserFromDatabase( 123 ) );

// With custom timeout (30 minutes)
productData = cache( "redis" ).getOrSet(
    "product:456",
    () => loadProductFromAPI( 456 ),
    1800
);

// With timeout and idle timeout (1 hour total, 30 min idle)
reportData = cache( "redis" ).getOrSet(
    "report:monthly",
    () => generateMonthlyReport(),
    3600,  // timeout
    1800   // idleTimeout
);

// With metadata
apiData = cache( "redis" ).getOrSet(
    "api:response:123",
    () => callExternalAPI( 123 ),
    600,   // 10 minutes
    0,     // no idle timeout
    { "source": "api", "cached": now() }  // metadata
);

// Practical example: Expensive computation
function getComputedData( key ) {
    return cache( "redis" ).getOrSet(
        "computed:#key#",
        () => {
            // This expensive operation only runs on cache miss
            var result = performExpensiveCalculation( key );
            writeLog( "Computed data for key: #key#", "info" );
            return result;
        },
        3600  // Cache for 1 hour
    );
}

// Multiple calls - only first one computes
data1 = getComputedData( "report1" );  // Computes and caches
data2 = getComputedData( "report1" );  // Returns from cache
data3 = getComputedData( "report1" );  // Returns from cache

📊 Caching Queries

Basic Query Caching

// Cache query results in Redis
qry = queryExecute(
    "SELECT * FROM users WHERE status = :status",
    { status: "active" },
    {
        cache: true,
        cacheTimeout: createTimespan( 0, 0, 30, 0 ), // 30 minutes
        cacheProvider: "redis"
    }
);

// Subsequent calls use cached results
qry = queryExecute(
    "SELECT * FROM users WHERE status = :status",
    { status: "active" },
    {
        cache: true,
        cacheProvider: "redis"
    }
);

Manual Query Caching

// Build custom cache key
cacheKey = "query:users:active";

// Try to get from cache first
qryAttempt = cache( "redis" ).get( cacheKey );

if ( qryAttempt.isPresent() ) {
    // Use cached query
    qry = qryAttempt.get();
} else {
    // Execute query and cache result
    qry = queryExecute( "SELECT * FROM users WHERE status = 'active'" );

    // Cache for 15 minutes
    cache( "redis" ).set( cacheKey, qry, 900 );
}

Query Caching Function

// Reusable query caching function
function getCachedQuery( sql, params = {}, timeout = 1800 ) {
    var cacheKey = "query:" & hash( sql & serializeJSON( params ) );

    return cache( "redis" )
        .get( cacheKey )
        .orElseGet( () => {
            var result = queryExecute( sql, params );
            cache( "redis" ).set( cacheKey, result, timeout );
            return result;
        } );
}

// Alternative: Using getOrSet() for cleaner code
function getCachedQuerySimple( sql, params = {}, timeout = 1800 ) {
    var cacheKey = "query:" & hash( sql & serializeJSON( params ) );

    return cache( "redis" ).getOrSet(
        cacheKey,
        () => queryExecute( sql, params ),
        timeout
    );
}

// Usage
users = getCachedQuery(
    "SELECT * FROM users WHERE department = :dept",
    { dept: "Engineering" },
    3600 // 1 hour
);

Query Invalidation

// Invalidate specific query
cache( "redis" ).clear( "query:users:active" );

// Invalidate all user queries using pattern
cache( "redis" ).clear( cacheFilter( "query:users:*" ) );

// Invalidate after data changes
function saveUser( userData ) {
    // Save to database
    queryExecute(
        "UPDATE users SET name = :name WHERE userID = :id",
        { name: userData.name, id: userData.userID }
    );

    // Clear related cached queries
    cache( "redis" ).clear( cacheFilter( "query:users:*" ) );
    cache( "redis" ).clear( "user:#userData.userID#" );
}

📄 Caching Content/HTML

Using the Cache Component

<!-- Cache expensive HTML generation -->
<bx:cache
    action="content"
    cacheName="redis"
    key="homepage:hero"
    timespan="#createTimespan( 0, 1, 0, 0 )#"
>
    <div class="hero">
        <h1>Welcome to Our Site</h1>
        <bx:set var="latestProducts" value="#productService.getFeatured()#" />
        <bx:loop array="#latestProducts#" item="product">
            <div class="product">
                <h3>#product.name#</h3>
                <p>#product.description#</p>
            </div>
        </bx:loop>
    </div>
</bx:cache>

Manual Content Caching

// Generate cache key for page content
cacheKey = "page:content:" & cgi.script_name & ":" & cgi.query_string;

// Try to get cached content
contentAttempt = cache( "redis" ).get( cacheKey );

if ( contentAttempt.isPresent() ) {
    // Output cached HTML
    writeOutput( contentAttempt.get() );
} else {
    // Capture output
    savecontent variable="htmlContent" {
        writeOutput( "<div class='dynamic-content'>" );
        // Expensive operations here
        products = productService.getAll();
        for ( product in products ) {
            writeOutput( "<div>#product.name#</div>" );
        }
        writeOutput( "</div>" );
    }

    // Cache for 1 hour
    cache( "redis" ).set( cacheKey, htmlContent, 3600 );
    writeOutput( htmlContent );
}

Component-Based Content Caching

// Cacheable component method
component {

    function getProductHTML( productID ) {
        var cacheKey = "html:product:#productID#";

        return cache( "redis" )
            .get( cacheKey )
            .orElseGet( () => {
                var html = "";
                savecontent variable="html" {
                    var product = productService.get( productID );
                    writeOutput( "
                        <div class='product'>
                            <h2>#product.name#</h2>
                            <p>#product.description#</p>
                            <span class='price'>#dollarFormat( product.price )#</span>
                        </div>
                    " );
                }
                cache( "redis" ).set( cacheKey, html, 1800 );
                return html;
            } );
    }

}

🎨 Advanced Caching Patterns

Cache-Aside Pattern

// Standard cache-aside implementation
function getUserData( userID ) {
    var cacheKey = "user:#userID#";

    // 1. Try cache first
    return cache( "redis" )
        .get( cacheKey )
        .orElseGet( () => {
            // 2. Cache miss - load from database
            var user = queryExecute(
                "SELECT * FROM users WHERE userID = :id",
                { id: userID }
            );

            // 3. Store in cache for next time
            if ( user.recordCount ) {
                var userData = queryRowToStruct( user, 1 );
                cache( "redis" ).set( cacheKey, userData, 1800 );
                return userData;
            }

            return {};
        } );
}

Write-Through Caching

// Update cache immediately when writing data
function updateUser( userID, userData ) {
    // 1. Update database
    queryExecute(
        "UPDATE users SET name = :name, email = :email WHERE userID = :id",
        {
            id: userID,
            name: userData.name,
            email: userData.email
        }
    );

    // 2. Update cache immediately
    cache( "redis" ).set( "user:#userID#", userData, 1800 );

    return userData;
}

Lazy Loading with Locking

// Prevent cache stampede with distributed locking
function getExpensiveData( key ) {
    var cacheKey = "expensive:#key#";

    // Try cache first
    var attempt = cache( "redis" ).get( cacheKey );
    if ( attempt.isPresent() ) {
        return attempt.get();
    }

    // Use distributed lock to prevent multiple processes from computing
    redisLock name="compute:#key#" cache="redis" timeout=10 expires=30 throwOnTimeout=false {
        // Check cache again (another process might have computed it)
        attempt = cache( "redis" ).get( cacheKey );
        if ( attempt.isPresent() ) {
            return attempt.get();
        }

        // Compute expensive result
        var result = performExpensiveComputation( key );

        // Cache result
        cache( "redis" ).set( cacheKey, result, 3600 );

        return result;
    }

    // If lock wasn't acquired and cache is still empty, compute anyway
    var result = performExpensiveComputation( key );
    cache( "redis" ).set( cacheKey, result, 3600 );
    return result;
}

Time-Based Invalidation

// Cache with automatic time-based refresh
function getDataWithAutoRefresh( key, computeFunction, timeout = 3600 ) {
    var cacheKey = "data:#key#";
    var timestampKey = "timestamp:#key#";

    var dataAttempt = cache( "redis" ).get( cacheKey );
    var timestampAttempt = cache( "redis" ).get( timestampKey );

    // Check if data exists and is not stale
    if ( dataAttempt.isPresent() && timestampAttempt.isPresent() ) {
        var age = dateDiff( "s", timestampAttempt.get(), now() );
        if ( age < timeout ) {
            return dataAttempt.get();
        }
    }

    // Refresh cache
    var result = computeFunction();
    cache( "redis" ).set( cacheKey, result, timeout );
    cache( "redis" ).set( timestampKey, now(), timeout );

    return result;
}

// Usage
reportData = getDataWithAutoRefresh(
    "monthlyReport",
    () => generateMonthlyReport(),
    86400 // Refresh daily
);

Fragment Caching

// Cache individual page fragments
function renderUserProfile( userID ) {
    var html = "";

    // Header - cached for 1 hour
    html &= cache( "redis" )
        .get( "fragment:header:#userID#" )
        .orElseGet( () => {
            var frag = "";
            savecontent variable="frag" {
                var user = getUserData( userID );
                writeOutput( "<div class='profile-header'>#user.name#</div>" );
            }
            cache( "redis" ).set( "fragment:header:#userID#", frag, 3600 );
            return frag;
        } );

    // Recent activity - cached for 5 minutes
    html &= cache( "redis" )
        .get( "fragment:activity:#userID#" )
        .orElseGet( () => {
            var frag = "";
            savecontent variable="frag" {
                var activities = getRecentActivity( userID );
                writeOutput( "<div class='activities'>" );
                for ( var activity in activities ) {
                    writeOutput( "<p>#activity.description#</p>" );
                }
                writeOutput( "</div>" );
            }
            cache( "redis" ).set( "fragment:activity:#userID#", frag, 300 );
            return frag;
        } );

    return html;
}

🧹 Cache Management

Clearing Cache Entries

// Clear single entry
cache( "redis" ).clear( "user:123" );

// Clear multiple entries
cache( "redis" ).clear( [ "user:123", "user:456", "user:789" ] );

// Clear all entries matching pattern
cache( "redis" ).clear( cacheFilter( "user:*" ) );

// Clear all query cache entries
cache( "redis" ).clear( cacheFilter( "query:*" ) );

// Clear entire cache
cache( "redis" ).clearAll();

Cache Statistics

// Get cache statistics
stats = cache( "redis" ).getStats();

writeOutput( "
    <h3>Redis Cache Statistics</h3>
    <ul>
        <li>Total Objects: #cache( 'redis' ).getSize()#</li>
        <li>Hit Rate: #numberFormat( stats.getHitRate() * 100, '0.00' )#%</li>
        <li>Hits: #stats.getHits()#</li>
        <li>Misses: #stats.getMisses()#</li>
    </ul>
" );

Listing Cache Keys

// Get all keys (use cautiously in production)
allKeys = cache( "redis" ).getKeys();

// Get keys matching pattern
userKeys = cache( "redis" ).getKeys( cacheFilter( "user:*" ) );

// Stream processing of keys
cache( "redis" )
    .getKeysStream( cacheFilter( "session:*" ) )
    .forEach( ( key ) => {
        writeOutput( "Session key: #key.getName()#<br>" );
    } );

Cache Metadata

// Store with metadata
metadata = {
    "source": "api",
    "version": "2.0",
    "timestamp": now()
};

cache( "redis" ).set(
    key = "api:data:123",
    value = apiData,
    timeout = 3600,
    idleTimeout = 0,
    metadata = metadata
);

// Retrieve metadata
cacheMetadata = cache( "redis" ).getCachedObjectMetadata( "api:data:123" );
writeOutput( "Data version: #cacheMetadata.version#" );

PreviousRedis +NextDistributed Locking

Last updated 3 months ago

Was this helpful?

hashtag🎯 Overview

hashtag📦 Cache BIFs

hashtag🗄️ Caching Objects

hashtagBasic Object Caching

hashtagFunctional Approach with Attempt

hashtagComplex Object Caching

hashtagBulk Object Operations

hashtagGet-or-Set Pattern

hashtag📊 Caching Queries

hashtagBasic Query Caching

hashtagManual Query Caching

hashtagQuery Caching Function

hashtagQuery Invalidation

hashtag📄 Caching Content/HTML

hashtagUsing the Cache Component

hashtagManual Content Caching

hashtagComponent-Based Content Caching

hashtag🎨 Advanced Caching Patterns

hashtagCache-Aside Pattern

hashtagWrite-Through Caching

hashtagLazy Loading with Locking

hashtagTime-Based Invalidation

hashtagFragment Caching

hashtag🧹 Cache Management

hashtagClearing Cache Entries

hashtagCache Statistics

hashtagListing Cache Keys

hashtagCache Metadata

🎯 Overview

📦 Cache BIFs

🗄️ Caching Objects

Basic Object Caching

Functional Approach with Attempt

Complex Object Caching

Bulk Object Operations

Get-or-Set Pattern

📊 Caching Queries

Basic Query Caching

Manual Query Caching

Query Caching Function

Query Invalidation

📄 Caching Content/HTML

Using the Cache Component

Manual Content Caching

Component-Based Content Caching

🎨 Advanced Caching Patterns

Cache-Aside Pattern

Write-Through Caching

Lazy Loading with Locking

Time-Based Invalidation

Fragment Caching

🧹 Cache Management

Clearing Cache Entries

Cache Statistics

Listing Cache Keys

Cache Metadata