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Async链式操作示例
异步输出日志
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对于日志输出即时性要求不高的内容,可以通过异步的方式输出日志,异步输出使得日志打印调用可立即返回,因此效率较高。glog
当然支持异步输出特性,并且内部使用了goroutine
池来管理异步日志打印任务,可以充分的降低对资源的占用率。
异步输出可以通过日志对象的SetAsync
/SetFlags
方法,或者通过链式操作Async
方法实现。但是需要注意的是,如果通过对象设置方法设置异步输出,那么后续所有的日志输出都将是异步的;如果是通过链式操作输出,那么仅对当前日志输出为异步。
Note |
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如果对于同一个文件日志输出既采用了同步打印,也采用了异步打印,注意日志文件的内容可能会出现乱序问题,这种情况应当尽量避免。 |
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SetAsync
我们来看一个使用SetAsync
方法实现异步打印的示例。
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package main import ( "context" "time" "github.com/gogf/gf/ |
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v2/frame/ |
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g" ) func main() { ctx := context.TODO() |
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g.Log().SetAsync(true) for i := 0; i < 10; i++ { |
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g. |
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Log().Print(ctx, "async log", i) } } |
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执行后,可以发现终端什么内容也没有输出,因为日志输出的异步的,该示例在日志内容还没有输出之前就退出了。因此,我们可以稍做改进如下:
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package main import ( "context" "time" "github.com/gogf/gf/v2/ |
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frame/g" ) func main() { ctx := context.TODO() |
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g.Log().SetAsync(true) for i := 0; i < 10; i++ { |
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g. |
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Log().Print(ctx, "async log", i) } time.Sleep(time.Second) } |
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执行后,终端输出结果为:
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2019-06-02 15:44:21.399 async log 0
2019-06-02 15:44:21.399 async log 1
2019-06-02 15:44:21.399 async log 2
2019-06-02 15:44:21.399 async log 3
2019-06-02 15:44:21.399 async log 4
2019-06-02 15:44:21.399 async log 5
2019-06-02 15:44:21.399 async log 6
2019-06-02 15:44:21.399 async log 7
2019-06-02 15:44:21.399 async log 8
2019-06-02 15:44:21.399 async log 9 |
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Async
链式操作
使用链式操作比较简单。
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package main import ( "context" "time" "github.com/gogf/gf/v2/ |
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frame/g" ) func main() { ctx := context.TODO() for i := 0; i < 10; i++ { |
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g.Log().Async().Print(ctx, "async log", i) } g.Log().Print(ctx, "normal log") g.Log().Print(ctx, "normal log") g.Log().Print(ctx, "normal log") time.Sleep(time.Second) } |
执行后,终端输出结果为:
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2022-01-05 15:00:44.101 normal log 2022-01-05 15:00:44.101 async log 0 2022-01-05 15:00:44.101 async log 1 2022-01-05 15:00:44.101 async log 2 2022-01-05 15:00:44.101 async log 3 2022-01-05 15:00:44.101 async log 4 |
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2022-01-05 15:00:44.101 async log 5
2022-01-05 15:00:44.101 async log 6
2022-01-05 15:00:44.101 async log 7
2022-01-05 15:00:44.101 async log 8
2022-01-05 15:00:44.101 async log 9
2022-01-05 15:00:44.101 normal log
2022-01-05 15:00:44.103 normal log |
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