如何全面掌握Go语言中使用slog库进行日志记录的入门知识？
摘要：简介 slog 是 Go 1.21 引入的官方结构化日志库（Structured Logging）。它结束了 Go 标准库只有简单 log 包的历史，让我们可以直接输出 JSON 或 Key-Value 格式的日志，非常适合对接 ELK、G
简介
slog 是 Go 1.21 引入的官方结构化日志库（Structured Logging）。它结束了 Go 标准库只有简单 log 包的历史，让我们可以直接输出 JSON 或 Key-Value 格式的日志，非常适合对接 ELK、Grafana Loki 等日志分析系统。
相较于第三方日志库如 zap、logrus，slog 的优势在于：
零依赖：作为标准库的一部分，无需引入第三方依赖
官方维护：长期稳定，API 变更有 Go 兼容性承诺保障
接口简洁：API 设计清晰，学习成本低
可扩展：通过自定义 Handler 可以实现各种定制需求
基本使用
slog 用起来非常简单。默认输出到标准错误流（os.Stderr），格式为普通文本。
package main
import (
"fmt"
"log/slog"
)
func main() {
slog.Debug("Hello world")
slog.Info("Hello world")
slog.Warn("Hello world")
slog.Error("Hello world")
slog.Info("this is a message", "name", "zhangsan")
age := 8
slog.Warn(fmt.Sprintf("这是 %d 岁?", age))
}
运行输出：
$ go run main.go
2026/02/15 11:52:24 INFO Hello world
2026/02/15 11:52:24 WARN Hello world
2026/02/15 11:52:24 ERROR Hello world
2026/02/15 11:52:24 INFO this is a message name=zhangsan
2026/02/15 11:52:24 WARN 这是 8 岁?
注意：默认的 slog logger 日志级别为 INFO，因此 Debug 级别的日志不会输出。
日志级别
slog 定义了四个日志级别，从低到高依次为：
级别
常量
说明
DEBUG
slog.LevelDebug
调试信息，开发环境使用
INFO
slog.LevelInfo
常规信息
WARN
slog.LevelWarn
警告信息
ERROR
slog.LevelError
错误信息
输出 JSON 格式
slog 可以输出 JSON 格式，便于与 ELK、Grafana Loki 等日志系统集成。
以下示例演示了如何修改默认的时间戳格式和调用源输出格式，并将其设置为默认 logger：
package main
import (
"fmt"
"log/slog"
"os"
"time"
)
func main() {
jsonLogger := slog.New(slog.NewJSONHandler(os.Stderr, &slog.HandlerOptions{
AddSource: true, // 添加调用源信息
Level: slog.LevelDebug, // 设置日志级别
ReplaceAttr: func(groups []string, a slog.Attr) slog.Attr {
// 自定义时间格式
if a.Key == slog.TimeKey {
if t, ok := a.Value.Any().(time.Time); ok {
a.Value = slog.StringValue(t.Format(time.RFC3339))
}
}
// 简化调用源信息，只保留文件名和行号
if a.Key == slog.SourceKey {
source := a.Value.Any().(*slog.Source)
shortFile := source.File
for i := len(source.File) - 1; i > 0; i-- {
if source.File[i] == '/' {
shortFile = source.File[i+1:]
break
}
}
return slog.String("source", fmt.Sprintf("%s:%d", shortFile, source.Line))
}
return a
},
}))
jsonLogger.Debug("Hello world")
jsonLogger.Info("Hello world")
jsonLogger.Warn("Hello world")
jsonLogger.Error("Hello world")
jsonLogger.Info("this is a message", "name", "zhangsan")
age := 8
jsonLogger.Warn(fmt.Sprintf("这是 %d 岁?", age))
// 替换默认 logger
slog.SetDefault(jsonLogger)
slog.Debug("Hello world")
slog.Info("Hello world")
slog.Warn("Hello world")
slog.Error("Hello world")
slog.Info("this is a message", "name", "zhangsan")
age = 9
slog.Warn(fmt.Sprintf("这是 %d 岁?", age))
}
运行输出：
$ go run main.go
{"time":"2026-02-15T12:07:32+08:00","level":"DEBUG","source":"main.go:38","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"INFO","source":"main.go:39","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"WARN","source":"main.go:40","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"ERROR","source":"main.go:41","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"INFO","source":"main.go:43","msg":"this is a message","name":"zhangsan"}
{"time":"2026-02-15T12:07:32+08:00","level":"WARN","source":"main.go:46","msg":"这是 8 岁?"}
{"time":"2026-02-15T12:07:32+08:00","level":"DEBUG","source":"main.go:50","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"INFO","source":"main.go:51","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"WARN","source":"main.go:52","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"ERROR","source":"main.go:53","msg":"Hello world"}
{"time":"2026-02-15T12:07:32+08:00","level":"INFO","source":"main.go:55","msg":"this is a message","name":"zhangsan"}
{"time":"2026-02-15T12:07:32+08:00","level":"WARN","source":"main.go:58","msg":"这是 9 岁?"}
HandlerOptions 详解
HandlerOptions 提供了三个配置项：
字段
类型
说明
AddSource
bool
是否添加调用源信息（文件名和行号）
Level
slog.Leveler
最低日志级别，低于此级别的日志将被忽略
ReplaceAttr
func([]string, slog.Attr) slog.Attr
用于修改或替换属性的回调函数
With 注入通用属性
创建 Logger 时，可以用 With 方法为 logger 添加通用属性。这些属性会自动附加到每条日志记录中，适合注入服务名、环境、版本等上下文信息。
package main
import (
"fmt"
"log/slog"
"os"
"time"
)
func main() {
jsonLogger := slog.New(slog.NewJSONHandler(os.Stderr, &slog.HandlerOptions{
AddSource: true,
Level: slog.LevelDebug,
ReplaceAttr: func(groups []string, a slog.Attr) slog.Attr {
if a.Key == slog.TimeKey {
if t, ok := a.Value.Any().(time.Time); ok {
a.Value = slog.StringValue(t.Format(time.RFC3339))
}
}
if a.Key == slog.SourceKey {
source := a.Value.Any().(*slog.Source)
shortFile := source.File
for i := len(source.File) - 1; i > 0; i-- {
if source.File[i] == '/' {
shortFile = source.File[i+1:]
break
}
}
return slog.String("source", fmt.Sprintf("%s:%d", shortFile, source.Line))
}
return a
},
})).With("logger", "json", "env", "production")
jsonLogger.Debug("Hello world")
jsonLogger.Info("Hello world")
jsonLogger.Warn("Hello world")
jsonLogger.Error("Hello world")
jsonLogger.Info("this is a message", "name", "zhangsan")
}
运行输出：
$ go run main.go
{"time":"2026-02-15T13:24:38+08:00","level":"DEBUG","source":"main.go:42","msg":"Hello world","logger":"json","env":"production"}
{"time":"2026-02-15T13:24:38+08:00","level":"INFO","source":"main.go:43","msg":"Hello world","logger":"json","env":"production"}
{"time":"2026-02-15T13:24:38+08:00","level":"WARN","source":"main.go:44","msg":"Hello world","logger":"json","env":"production"}
{"time":"2026-02-15T13:24:38+08:00","level":"ERROR","source":"main.go:45","msg":"Hello world","logger":"json","env":"production"}
{"time":"2026-02-15T13:24:38+08:00","level":"INFO","source":"main.go:47","msg":"this is a message","logger":"json","env":"production","name":"zhangsan"}
使用 Group 对属性分组
当日志属性较多时，可以使用 slog.Group 将相关属性组织在一起，使输出结构更清晰：
package main
import (
"fmt"
"log/slog"
"os"
"time"
)
func main() {
jsonLogger := slog.New(slog.NewJSONHandler(os.Stderr, &slog.HandlerOptions{
AddSource: true,
Level: slog.LevelDebug,
ReplaceAttr: func(groups []string, a slog.Attr) slog.Attr {
if a.Key == slog.TimeKey {
if t, ok := a.Value.Any().(time.Time); ok {
a.Value = slog.StringValue(t.Format(time.RFC3339))
}
}
if a.Key == slog.SourceKey {
source := a.Value.Any().(*slog.Source)
shortFile := source.File
for i := len(source.File) - 1; i > 0; i-- {
if source.File[i] == '/' {
shortFile = source.File[i+1:]
break
}
}
return slog.String("source", fmt.Sprintf("%s:%d", shortFile, source.Line))
}
return a
},
}))
jsonLogger = jsonLogger.With("logger", "json")
// 使用 Group 组织相关属性
jsonLogger.Info("系统状态",
slog.Group("metrics",
slog.Int("cpu", 4),
slog.Float64("memPercent", 2.33),
),
slog.Group("request",
slog.String("method", "GET"),
slog.String("path", "/api/users"),
),
)
}
运行输出：
$ go run main.go
{"time":"2026-02-15T13:30:08+08:00","level":"INFO","source":"main.go:43","msg":"系统状态","logger":"json","metrics":{"cpu":4,"memPercent":2.33},"request":{"method":"GET","path":"/api/users"}}
高性能场景使用 LogAttrs
如果需要在高性能循环中打印日志，建议使用 LogAttrs 方法。它使用强类型属性（slog.Attr），避免了反射带来的性能开销。
package main
import (
"context"
"log/slog"
"os"
"time"
)
func main() {
jsonLogger := slog.New(slog.NewJSONHandler(os.Stderr, &slog.HandlerOptions{
AddSource: true,
Level: slog.LevelDebug,
ReplaceAttr: func(groups []string, a slog.Attr) slog.Attr {
if a.Key == slog.TimeKey {
if t, ok := a.Value.Any().(time.Time); ok {
a.Value = slog.StringValue(t.Format(time.RFC3339))
}
}
if a.Key == slog.SourceKey {
source := a.Value.Any().(*slog.Source)
shortFile := source.File
for i := len(source.File) - 1; i > 0; i-- {
if source.File[i] == '/' {
shortFile = source.File[i+1:]
break
}
}
return slog.String("source", fmt.Sprintf("%s:%d", shortFile, source.Line))
}
return a
},
})).With("logger", "json")
for i := range 5 {
jsonLogger.LogAttrs(
context.Background(),
slog.LevelInfo,
"执行遍历",
slog.Int("round", i),
slog.String("task_name", "cleanup"),
slog.Duration("duration", time.Second*time.Duration(i+1)),
)
}
}
运行输出：
$ go run main.go
{"time":"2026-02-15T13:38:21+08:00","level":"INFO","source":"main.go:45","msg":"执行遍历","logger":"json","round":0,"task_name":"cleanup","duration":1000000000}
{"time":"2026-02-15T13:38:21+08:00","level":"INFO","source":"main.go:45","msg":"执行遍历","logger":"json","round":1,"task_name":"cleanup","duration":2000000000}
{"time":"2026-02-15T13:38:21+08:00","level":"INFO","source":"main.go:45","msg":"执行遍历","logger":"json","round":2,"task_name":"cleanup","duration":3000000000}
{"time":"2026-02-15T13:38:21+08:00","level":"INFO","source":"main.go:45","msg":"执行遍历","logger":"json","round":3,"task_name":"cleanup","duration":4000000000}
{"time":"2026-02-15T13:38:21+08:00","level":"INFO","source":"main.go:45","msg":"执行遍历","logger":"json","round":4,"task_name":"cleanup","duration":5000000000}
性能对比
根据官方基准测试，LogAttrs 相比普通方法调用有约 30% 的性能提升：
方法
内存分配
性能
slog.Info(msg, "key", value)
有额外分配
基准
slog.LogAttrs(ctx, level, msg, attrs...)
零额外分配
快约 30%
提取 Context 中的链路信息
slog 提供了 InfoContext、WarnContext 等方法，可以从 context.Context 中提取数据。默认情况下，这些方法不会自动提取 context 中的值，需要通过自定义 Handler 来实现。
自定义 ContextHandler
以下示例实现了一个自定义 Handler，用于从 context 中提取 TraceID：
package main
import (
"context"
"log/slog"
"os"
)
type contextKey string
const TraceIDKey contextKey = "trace_id"
// ContextHandler 包装一个 slog.Handler，在处理日志时自动从 context 中提取 TraceID
type ContextHandler struct {
slog.Handler
}
func (h *ContextHandler) Handle(ctx context.Context, record slog.Record) error {
if ctx != nil {
if traceID, ok := ctx.Value(TraceIDKey).(string); ok && traceID != "" {
record.AddAttrs(slog.String(string(TraceIDKey), traceID))
}
}
return h.Handler.Handle(ctx, record)
}
func main() {
baseHandler := slog.NewJSONHandler(os.Stdout, nil)
handler := &ContextHandler{Handler: baseHandler}
jsonLogger := slog.New(handler)
slog.SetDefault(jsonLogger)
ctx := context.WithValue(context.Background(), TraceIDKey, "abc123-def456")
slog.InfoContext(ctx, "hello world")
slog.WarnContext(ctx, "something happened", "user", "zhangsan")
}
运行输出：
$ go run main.go | python3 -m json.tool
{
"time": "2026-02-15T13:56:43.086323769+08:00",
"level": "INFO",
"msg": "hello world",
"trace_id": "abc123-def456"
}
{
"time": "2026-02-15T13:56:43.086323769+08:00",
"level": "WARN",
"msg": "something happened",
"user": "zhangsan",
"trace_id": "abc123-def456"
}
在 Gin 框架中使用 slog
在 Gin 中使用 slog 的 context 能力，通常的做法是编写一个中间件来注入 TraceID，并配合自定义 slog.Handler 来提取它。
package main
import (
"context"
"log/slog"
"net"
"net/http"
"net/http/httputil"
"os"
"runtime/debug"
"strings"
"time"
"github.com/gin-gonic/gin"
"github.com/google/uuid"
)
type contextKey string
const TraceIDKey contextKey = "trace_id"
// ContextHandler 从 context 中提取 TraceID 并添加到日志中
type ContextHandler struct {
slog.Handler
}
func (h *ContextHandler) Handle(ctx context.Context, record slog.Record) error {
if ctx != nil {
if traceID, ok := ctx.Value(TraceIDKey).(string); ok && traceID != "" {
record.AddAttrs(slog.String(string(TraceIDKey), traceID))
}
}
return h.Handler.Handle(ctx, record)
}
// SlogMiddleware 是一个 Gin 中间件，用于注入 TraceID
func SlogMiddleware() gin.HandlerFunc {
return func(c *gin.Context) {
start := time.Now()
// 优先从请求头获取 TraceID，没有则生成新的
traceID := c.GetHeader("X-Trace-ID")
if traceID == "" {
traceID = uuid.New().String()
}
// 将 TraceID 注入到标准的 context.Context 中
// 注意：Gin 的 c.Set 只在 Gin 内部生效，slog 需要标准库的 Context
ctx := context.WithValue(c.Request.Context(), TraceIDKey, traceID)
c.Request = c.Request.WithContext(ctx)
// 将 TraceID 写入响应头，方便客户端追踪
c.Header("X-Trace-ID", traceID)
c.Next()
// 请求结束后的汇总日志
slog.InfoContext(c.Request.Context(), "Request completed",
slog.String("method", c.Request.Method),
slog.String("path", c.Request.URL.Path),
slog.Int("status", c.Writer.Status()),
slog.Int("body_size", c.Writer.Size()),
slog.Duration("latency", time.Since(start)),
)
}
}
// SlogRecovery 是一个自定义的恢复中间件
// 它会捕获 Panic，记录堆栈信息，并使用 slog.ErrorContext 输出
func SlogRecovery() gin.HandlerFunc {
return func(c *gin.Context) {
defer func() {
if err := recover(); err != nil {
// 检查是否是连接中断（broken pipe）
var brokenPipe bool
if ne, ok := err.(*net.OpError); ok {
if se, ok := ne.Err.(*os.SyscallError); ok {
if strings.Contains(strings.ToLower(se.Error()), "broken pipe") ||
strings.Contains(strings.ToLower(se.Error()), "connection reset by peer") {
brokenPipe = true
}
}
}
// 获取堆栈信息
stack := string(debug.Stack())
// 获取原始请求内容
httpRequest, _ := httputil.DumpRequest(c.Request, false)
if brokenPipe {
slog.ErrorContext(c.Request.Context(), "网络连接中断",
slog.Any("error", err),
slog.String("request", string(httpRequest)),
)
c.Error(err.(error))
c.Abort()
return
}
// 记录 Panic 详情
slog.ErrorContext(c.Request.Context(), "Recovery from panic",
slog.Any("error", err),
slog.String("stack", stack),
slog.String("request", string(httpRequest)),
)
ctx := c.Request.Context()
traceID, _ := ctx.Value(TraceIDKey).(string)
// 返回 500 状态码
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{
"code": http.StatusInternalServerError,
"msg": "Internal Server Error",
"data": nil,
"timestamp": time.Now().Format(time.RFC3339),
"trace_id": traceID,
})
}
}()
c.Next()
}
}
func main() {
// 初始化 slog
baseHandler := slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{
Level: slog.LevelDebug,
})
handler := &ContextHandler{Handler: baseHandler}
jsonLogger := slog.New(handler)
slog.SetDefault(jsonLogger)
// 使用 gin.New() 而不是 gin.Default()，避免内置日志干扰
r := gin.New()
r.Use(SlogMiddleware())
r.Use(SlogRecovery())
r.GET("/ping", func(c *gin.Context) {
slog.InfoContext(c.Request.Context(), "Processing /ping request",
slog.String("user", "zhangsan"),
)
time.Sleep(time.Second * 2)
c.JSON(200, gin.H{"msg": "pong"})
})
r.GET("/panic", func(c *gin.Context) {
slog.InfoContext(c.Request.Context(), "About to panic")
panic("something went wrong")
})
r.Run(":8080")
}
运行后测试：
$ curl http://localhost:8080/ping
{"msg":"pong"}
$ curl http://localhost:8080/panic
{"code":500,"msg":"Internal Server Error","data":null,"timestamp":"2026-02-15T14:30:00+08:00","trace_id":"xxx-xxx-xxx"}
日志输出文件
写日志文件一定要注意控制日志文件大小，建议配合系统的logrotate。如果服务运行在kubernetes，建议只输出控制台日志，由专门的日志收集平台去获取控制台日志。
基本实现
写到app.log中
package main
import (
"log/slog"
"os"
)
func main() {
logFile, err := os.OpenFile("app.log", os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0666)
if err != nil {
panic(err)
}
handler := slog.NewJSONHandler(logFile, nil)
logger := slog.New(handler)
slog.SetDefault(logger)
slog.Info("hello world")
}
配合logrotate。在 /etc/logrotate.d/myapp 创建配置文件
/path/to/app.log {
daily
rotate 7
compress
delaycompress
missingok
notifempty
copytruncate # 复制后截断，不需要重启 Go 程序
}
使用lumberjack轮转日志文件
如果不想用系统的 logrotate ，可以使用 lumberjack 包，它提供了更灵活的日志轮转策略。
import "gopkg.in/natefinch/lumberjack.v2"
func initLumberjack() {
rollingFile := &lumberjack.Logger{
Filename: "./logs/app.log",
MaxSize: 100, // 单位 MB
MaxBackups: 3, // 保留旧文件的最大个数
MaxAge: 28, // 保留旧文件的最大天数
Compress: true, // 是否压缩
}
handler := slog.NewJSONHandler(rollingFile, nil)
slog.SetDefault(slog.New(handler))
}
同时输出控制台和日志文件
go1.26 版本后实现了slog.NewMultiHandler，1.26 前可使用io.multiwriter。
package main
import (
"log/slog"
"os"
)
func main() {
logFile, err := os.OpenFile("app.log", os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0666)
if err != nil {
panic(err)
}
fileHandler := slog.NewJSONHandler(logFile, nil)
consoleHandler := slog.NewTextHandler(os.Stdout, nil)
multiHandler := slog.NewMultiHandler(fileHandler, consoleHandler) // slog.NewMultiHandler 需要go1.26.0+版本
logger := slog.New(multiHandler)
slog.SetDefault(logger)
slog.Info("hello world")
}
自定义日志级别
除了四个内置级别，slog 还支持自定义日志级别 (一般来说默认的日志级别已经够用了)：
package main
import (
"log/slog"
"os"
)
func main() {
// 定义自定义日志级别
const (
LevelTrace = slog.Level(-8) // 比 Debug 更低
LevelNotice = slog.Level(2) // 介于 Info 和 Warn 之间
LevelFatal = slog.Level(12) // 比 Error 更高
)
logger := slog.New(slog.NewJSONHandler(os.Stdout, &slog.HandlerOptions{
Level: LevelTrace, // 设置最低级别
}))
logger.Log(nil, LevelTrace, "trace message")
logger.Log(nil, LevelNotice, "notice message")
logger.Log(nil, LevelFatal, "fatal message")
}
总结
slog 作为 Go 官方的结构化日志库，用起来还是挺方便的。对于新项目，推荐直接使用 slog；对于已有项目，可以逐步迁移，slog 的 API 设计使得迁移成本很低。