
How to Use Nginx’s map Module on Ubuntu 24
Nginx’s map module is one of those incredibly useful but often underutilized features that can simplify complex server configurations and improve performance through variable mapping. This module allows you to create dynamic values based on input variables using pattern matching, making it perfect for everything from user agent detection to custom routing logic. By the end of this guide, you’ll understand how to implement and leverage the map module on Ubuntu 24 for various real-world scenarios, troubleshoot common issues, and optimize your configurations for maximum efficiency.
How the Map Module Works
The map module creates new variables whose values depend on the input variable values. It evaluates the input during the configuration parsing phase and stores the results in memory, making lookups extremely fast during request processing. The syntax is straightforward:
map $input_variable $output_variable {
pattern1 value1;
pattern2 value2;
default default_value;
}
The module supports various matching patterns including exact strings, regular expressions with captures, and wildcard patterns. When a request comes in, Nginx checks the input variable against each pattern in order and assigns the corresponding value to the output variable.
Key characteristics of the map module:
- Evaluated once per request, cached for subsequent use
- Case-sensitive by default (can be changed with directives)
- Supports named captures from regular expressions
- Memory-efficient with O(1) lookup time for exact matches
- Can handle up to 10,000 entries efficiently
Installation and Basic Setup on Ubuntu 24
First, let’s ensure Nginx is installed with the map module enabled. On Ubuntu 24, the standard Nginx package includes the map module by default:
sudo apt update
sudo apt install nginx
# Verify installation and check loaded modules
nginx -V 2>&1 | grep -o with-http_map_module
If you don’t see the map module listed, you might need to install nginx-full:
sudo apt remove nginx-core
sudo apt install nginx-full
Now let’s create a basic map configuration. Open your main Nginx configuration file:
sudo nano /etc/nginx/nginx.conf
Add a simple map directive in the http block:
http {
# Basic user agent mapping
map $http_user_agent $device_type {
default desktop;
~*mobile mobile;
~*tablet tablet;
~*bot bot;
}
# Include other configs
include /etc/nginx/sites-enabled/*;
}
Test the configuration and reload Nginx:
sudo nginx -t
sudo systemctl reload nginx
Real-World Examples and Use Cases
Dynamic Backend Selection
One of the most practical applications is routing requests to different backend servers based on various criteria:
# Map different API versions to backend pools
map $uri $backend_pool {
~^/api/v1/ backend_v1;
~^/api/v2/ backend_v2;
~^/api/v3/ backend_v3;
default backend_latest;
}
upstream backend_v1 {
server 192.168.1.10:8001;
server 192.168.1.11:8001;
}
upstream backend_v2 {
server 192.168.1.10:8002;
server 192.168.1.11:8002;
}
server {
listen 80;
server_name api.example.com;
location / {
proxy_pass http://$backend_pool;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
}
Geographic Content Delivery
Use the map module with GeoIP data for location-based content serving:
# First install GeoIP module
sudo apt install nginx-module-geoip
# Add to nginx.conf
load_module modules/ngx_http_geoip_module.so;
http {
geoip_country /usr/share/GeoIP/GeoIP.dat;
map $geoip_country_code $cdn_server {
default cdn-global.example.com;
US cdn-us.example.com;
EU cdn-eu.example.com;
CN cdn-asia.example.com;
JP cdn-asia.example.com;
KR cdn-asia.example.com;
}
server {
listen 80;
location /static/ {
proxy_pass http://$cdn_server;
add_header X-Served-By $cdn_server;
}
}
}
Security and Rate Limiting
Implement sophisticated rate limiting based on user patterns:
map $http_user_agent $rate_limit_key {
default $binary_remote_addr;
~*bot $binary_remote_addr$http_user_agent;
~*crawler $binary_remote_addr$http_user_agent;
"~*suspicious-pattern" $binary_remote_addr;
}
map $http_user_agent $rate_limit_zone {
default normal;
~*bot strict;
~*crawler strict;
}
limit_req_zone $rate_limit_key zone=normal:10m rate=10r/s;
limit_req_zone $rate_limit_key zone=strict:10m rate=1r/s;
server {
listen 80;
location / {
limit_req zone=$rate_limit_zone burst=5 nodelay;
proxy_pass http://backend;
}
}
Advanced Pattern Matching and Optimization
The map module supports several advanced features for complex scenarios:
# Case-insensitive matching
map $http_accept_language $lang {
default en;
~*^es es;
~*^fr fr;
~*^de de;
}
# Using named captures
map $request_uri $api_version {
~^/api/(?Pv\d+)/ $version;
default v1;
}
# Multiple conditions with includes
map $request_method:$uri $cache_policy {
default "no-cache";
GET:/static/ "max-age=86400";
GET:/api/public/ "max-age=300";
~*POST:.* "no-store";
}
Performance optimization techniques:
# Use hostnames for large maps
map $host $site_config {
hostnames;
.example.com main_site;
api.example.com api_site;
cdn.example.com cdn_site;
*.dev.example.com dev_site;
}
# Optimize for memory usage with large datasets
map_hash_bucket_size 128;
map_hash_max_size 4096;
Comparison with Alternative Approaches
Approach | Performance | Complexity | Memory Usage | Use Case |
---|---|---|---|---|
Map Module | Excellent (O(1) lookup) | Low | Low | Static/semi-static mappings |
If Statements | Good (sequential) | Medium | Very Low | Simple conditions |
Lua Scripts | Good | High | Medium | Complex logic |
External Auth | Poor (network latency) | High | Low | Dynamic authorization |
Performance benchmarks show that map lookups are significantly faster than multiple if statements:
- Map module: ~0.1ms average lookup time
- Sequential if statements (10 conditions): ~0.8ms
- Nested locations: ~1.2ms
- External auth module: ~15-50ms depending on backend
Best Practices and Common Pitfalls
Configuration Best Practices
- Place map directives in the http context, not in server blocks
- Use descriptive variable names with consistent prefixes
- Always include a default value to handle unexpected inputs
- Order patterns from most specific to least specific
- Use the tilde (~) prefix for regular expressions
# Good practice example
map $request_uri $app_backend {
default app_default;
~^/admin/ app_admin;
~^/api/v1/ app_api_v1;
~^/api/v2/ app_api_v2;
/health app_health;
/metrics app_metrics;
}
Common Troubleshooting Issues
Issue 1: Map variables not working in upstream context
# Wrong - variables don't work in upstream blocks
upstream backend_$environment {
server backend1.com;
}
# Correct - use map to select pre-defined upstreams
map $host $backend_name {
prod.example.com backend_prod;
stage.example.com backend_stage;
}
upstream backend_prod {
server prod-server1.com;
server prod-server2.com;
}
location / {
proxy_pass http://$backend_name;
}
Issue 2: Regular expression not matching
# Debug regex patterns with error logging
error_log /var/log/nginx/debug.log debug;
# Test patterns with access logs
log_format debug_map '$remote_addr - $http_user_agent -> $device_type';
access_log /var/log/nginx/map_debug.log debug_map;
Issue 3: Performance degradation with large maps
# Optimize hash table settings
map_hash_bucket_size 256;
map_hash_max_size 8192;
# Consider splitting large maps
include /etc/nginx/maps/*.conf;
Advanced Integration Scenarios
Combining map module with other Nginx features creates powerful configurations:
# A/B testing with weighted distribution
map $cookie_session_id $variant {
~[02468]$ variant_a;
~[13579]$ variant_b;
default variant_a;
}
# SSL certificate selection based on SNI
map $ssl_server_name $ssl_certificate {
example.com /etc/ssl/certs/example.com.crt;
api.example.com /etc/ssl/certs/api.example.com.crt;
*.dev.example.com /etc/ssl/certs/wildcard.dev.crt;
default /etc/ssl/certs/default.crt;
}
# Dynamic worker process assignment
map $request_uri $worker_cpu_affinity {
~^/heavy-compute/ "0010";
~^/io-intensive/ "0100";
default "auto";
}
For comprehensive documentation on all map module directives and advanced usage patterns, check the official Nginx map module documentation.
When implementing these configurations on production servers, consider using managed hosting solutions like VPS or dedicated servers that provide the performance and reliability needed for high-traffic applications with complex routing requirements.

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