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hset_benchmark_test.go
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245 lines (201 loc) · 6.34 KB
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package redis_test
import (
"context"
"fmt"
"testing"
"time"
"github.com/redis/go-redis/v9"
)
// HSET Benchmark Tests
//
// This file contains benchmark tests for Redis HSET operations with different scales:
// 1, 10, 100, 1000, 10000, 100000 operations
//
// Prerequisites:
// - Redis server running on localhost:6379
// - No authentication required
//
// Usage:
// go test -bench=BenchmarkHSET -v ./hset_benchmark_test.go
// go test -bench=BenchmarkHSETPipelined -v ./hset_benchmark_test.go
// go test -bench=. -v ./hset_benchmark_test.go # Run all benchmarks
//
// Example output:
// BenchmarkHSET/HSET_1_operations-8 5000 250000 ns/op 1000000.00 ops/sec
// BenchmarkHSET/HSET_100_operations-8 100 10000000 ns/op 100000.00 ops/sec
//
// The benchmarks test three different approaches:
// 1. Individual HSET commands (BenchmarkHSET)
// 2. Pipelined HSET commands (BenchmarkHSETPipelined)
// BenchmarkHSET benchmarks HSET operations with different scales
func BenchmarkHSET(b *testing.B) {
ctx := context.Background()
// Setup Redis client
rdb := redis.NewClient(&redis.Options{
Addr: "localhost:6379",
DB: 0,
})
defer rdb.Close()
// Test connection
if err := rdb.Ping(ctx).Err(); err != nil {
b.Skipf("Redis server not available: %v", err)
}
// Clean up before and after tests
defer func() {
rdb.FlushDB(ctx)
}()
scales := []int{1, 10, 100, 1000, 10000, 100000}
for _, scale := range scales {
b.Run(fmt.Sprintf("HSET_%d_operations", scale), func(b *testing.B) {
benchmarkHSETOperations(b, rdb, ctx, scale)
})
}
}
// benchmarkHSETOperations performs the actual HSET benchmark for a given scale
func benchmarkHSETOperations(b *testing.B, rdb *redis.Client, ctx context.Context, operations int) {
hashKey := fmt.Sprintf("benchmark_hash_%d", operations)
b.ResetTimer()
b.StartTimer()
totalTimes := []time.Duration{}
for i := 0; i < b.N; i++ {
b.StopTimer()
// Clean up the hash before each iteration
rdb.Del(ctx, hashKey)
b.StartTimer()
startTime := time.Now()
// Perform the specified number of HSET operations
for j := 0; j < operations; j++ {
field := fmt.Sprintf("field_%d", j)
value := fmt.Sprintf("value_%d", j)
err := rdb.HSet(ctx, hashKey, field, value).Err()
if err != nil {
b.Fatalf("HSET operation failed: %v", err)
}
}
totalTimes = append(totalTimes, time.Now().Sub(startTime))
}
// Stop the timer to calculate metrics
b.StopTimer()
// Report operations per second
opsPerSec := float64(operations*b.N) / b.Elapsed().Seconds()
b.ReportMetric(opsPerSec, "ops/sec")
// Report average time per operation
avgTimePerOp := b.Elapsed().Nanoseconds() / int64(operations*b.N)
b.ReportMetric(float64(avgTimePerOp), "ns/op")
// report average time in milliseconds from totalTimes
avgTimePerOpMs := totalTimes[0].Milliseconds() / int64(len(totalTimes))
b.ReportMetric(float64(avgTimePerOpMs), "ms")
}
// BenchmarkHSETPipelined benchmarks HSET operations using pipelining for better performance
func BenchmarkHSETPipelined(b *testing.B) {
ctx := context.Background()
// Setup Redis client
rdb := redis.NewClient(&redis.Options{
Addr: "localhost:6379",
DB: 0,
})
defer rdb.Close()
// Test connection
if err := rdb.Ping(ctx).Err(); err != nil {
b.Skipf("Redis server not available: %v", err)
}
// Clean up before and after tests
defer func() {
rdb.FlushDB(ctx)
}()
scales := []int{1, 10, 100, 1000, 10000, 100000}
for _, scale := range scales {
b.Run(fmt.Sprintf("HSET_Pipelined_%d_operations", scale), func(b *testing.B) {
benchmarkHSETPipelined(b, rdb, ctx, scale)
})
}
}
// benchmarkHSETPipelined performs HSET benchmark using pipelining
func benchmarkHSETPipelined(b *testing.B, rdb *redis.Client, ctx context.Context, operations int) {
hashKey := fmt.Sprintf("benchmark_hash_pipelined_%d", operations)
b.ResetTimer()
b.StartTimer()
totalTimes := []time.Duration{}
for i := 0; i < b.N; i++ {
b.StopTimer()
// Clean up the hash before each iteration
rdb.Del(ctx, hashKey)
b.StartTimer()
startTime := time.Now()
// Use pipelining for better performance
pipe := rdb.Pipeline()
// Add all HSET operations to the pipeline
for j := 0; j < operations; j++ {
field := fmt.Sprintf("field_%d", j)
value := fmt.Sprintf("value_%d", j)
pipe.HSet(ctx, hashKey, field, value)
}
// Execute all operations at once
_, err := pipe.Exec(ctx)
if err != nil {
b.Fatalf("Pipeline execution failed: %v", err)
}
totalTimes = append(totalTimes, time.Now().Sub(startTime))
}
b.StopTimer()
// Report operations per second
opsPerSec := float64(operations*b.N) / b.Elapsed().Seconds()
b.ReportMetric(opsPerSec, "ops/sec")
// Report average time per operation
avgTimePerOp := b.Elapsed().Nanoseconds() / int64(operations*b.N)
b.ReportMetric(float64(avgTimePerOp), "ns/op")
// report average time in milliseconds from totalTimes
avgTimePerOpMs := totalTimes[0].Milliseconds() / int64(len(totalTimes))
b.ReportMetric(float64(avgTimePerOpMs), "ms")
}
// add same tests but with RESP2
func BenchmarkHSET_RESP2(b *testing.B) {
ctx := context.Background()
// Setup Redis client
rdb := redis.NewClient(&redis.Options{
Addr: "localhost:6379",
Password: "", // no password docs
DB: 0, // use default DB
Protocol: 2,
})
defer rdb.Close()
// Test connection
if err := rdb.Ping(ctx).Err(); err != nil {
b.Skipf("Redis server not available: %v", err)
}
// Clean up before and after tests
defer func() {
rdb.FlushDB(ctx)
}()
scales := []int{1, 10, 100, 1000, 10000, 100000}
for _, scale := range scales {
b.Run(fmt.Sprintf("HSET_RESP2_%d_operations", scale), func(b *testing.B) {
benchmarkHSETOperations(b, rdb, ctx, scale)
})
}
}
func BenchmarkHSETPipelined_RESP2(b *testing.B) {
ctx := context.Background()
// Setup Redis client
rdb := redis.NewClient(&redis.Options{
Addr: "localhost:6379",
Password: "", // no password docs
DB: 0, // use default DB
Protocol: 2,
})
defer rdb.Close()
// Test connection
if err := rdb.Ping(ctx).Err(); err != nil {
b.Skipf("Redis server not available: %v", err)
}
// Clean up before and after tests
defer func() {
rdb.FlushDB(ctx)
}()
scales := []int{1, 10, 100, 1000, 10000, 100000}
for _, scale := range scales {
b.Run(fmt.Sprintf("HSET_Pipelined_RESP2_%d_operations", scale), func(b *testing.B) {
benchmarkHSETPipelined(b, rdb, ctx, scale)
})
}
}