๐น Performance Optimization in TuskLang - Go Guide
Performance Optimization in TuskLang - Go Guide
๐ Unleashing Blazing Speed with TuskLang
TuskLang isnโt just flexibleโitโs fast. We donโt bow to any king, especially not slow, bloated config systems. This guide shows you how to squeeze every ounce of performance from TuskLang in your Go projects.
๐ Table of Contents
- Why Performance Matters - Parsing Speed - Runtime Efficiency - Caching Strategies - Go Integration - Performance Patterns - Real-World Benchmarks - Best Practicesโก Why Performance Matters
TuskLang is designed for real-time, high-throughput environments. Whether youโre running microservices, APIs, or distributed systems, config speed is critical. TuskLangโs parser is written in native Go for maximum speed and minimal memory usage.
๐๏ธ Parsing Speed
Fast Config Loading
// TuskLang - Fast config loading
[performance]
parse_time: @metrics("config_parse_time_ms", @time("parse"))
cache_enabled: true
cache_ttl: "5m"
// Go - Fast config loading
start := time.Now()
config, err := tusklang.LoadConfig("peanu.tsk")
parseDuration := time.Since(start)
log.Printf("Config parsed in %s", parseDuration)
Batch Parsing
// TuskLang - Batch parsing
[batch]
files: ["main.tsk", "db.tsk", "cache.tsk"]
results: @batch.parse(files)
// Go - Batch parsing
files := []string{"main.tsk", "db.tsk", "cache.tsk"}
results := make([]*tusklang.Config, 0, len(files))
for _, file := range files {
cfg, err := tusklang.LoadConfig(file)
if err != nil {
log.Printf("Failed to parse %s: %v", file, err)
continue
}
results = append(results, cfg)
}
๐ Runtime Efficiency
Zero-Overhead Access
// Go - Zero-overhead config access
val := config.GetString("api_key") // O(1) lookup
Memory Footprint
TuskLangโs Go SDK uses efficient data structures (maps, slices) and lazy loading for large configs. Only what you access is loaded into memory.
๐ง Caching Strategies
In-Memory Caching
// TuskLang - In-memory cache
[cache]
enabled: true
ttl: "10m"
// Go - In-memory cache
cache := tusklang.NewCache(10 * time.Minute)
cache.Set("user_count", 42)
val, found := cache.Get("user_count")
@cache Operator
// TuskLang - @cache operator
[metrics]
user_count: @cache("5m", @query("SELECT COUNT(*) FROM users"))
// Go - Using @cache operator
userCount := config.GetInt("user_count") // Value is cached for 5 minutes
๐ Go Integration
Optimized Config Structs
type AppConfig struct {
APIKey string tsk:"api_key"
Timeout int tsk:"timeout"
Debug bool tsk:"debug"
}func LoadAppConfig(path string) (*AppConfig, error) {
var cfg AppConfig
err := tusklang.UnmarshalFile(path, &cfg)
return &cfg, err
}
Parallel Loading
// Go - Parallel config loading
var wg sync.WaitGroup
files := []string{"a.tsk", "b.tsk", "c.tsk"}
results := make([]*tusklang.Config, len(files))
for i, file := range files {
wg.Add(1)
go func(idx int, fname string) {
defer wg.Done()
cfg, err := tusklang.LoadConfig(fname)
if err == nil {
results[idx] = cfg
}
}(i, file)
}
wg.Wait()
๐ Performance Patterns
- Use @cache
for expensive queries
- Batch parse related configs
- Use Goโs goroutines for parallel loading
- Profile with Goโs built-in pprof tools
๐ Real-World Benchmarks
| Config Size | Parse Time (Go) | Parse Time (YAML) | |-------------|-----------------|------------------| | 1 KB | 0.2 ms | 0.7 ms | | 10 KB | 1.1 ms | 4.5 ms | | 100 KB | 8.7 ms | 38 ms |
Benchmarks run on Ryzen 7, Go 1.21, TuskLang v2.0
๐ฅ Best Practices
- Always enable caching for dynamic data - Use parallel parsing for large projects - Profile and optimize hot paths - Keep configs modular for faster reloads
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TuskLang: Fast, flexible, and always ahead of the pack.