大致分为3个步骤
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" 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" alt="" />
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" alt="" />
CREATE TABLE [dbo].[Log]( [Id] [int] IDENTITY(1,1) NOT NULL, [AppDomain] [nvarchar](255) NULL, [Logger] [nvarchar](255) NOT NULL, [Level] [nvarchar](50) NOT NULL, [Thread] [nvarchar](255) NOT NULL, [File] [nvarchar](500) NULL, [Line] [nvarchar](50) NULL, [Identity] [nvarchar](50) NULL, [UserName] [nvarchar](50) NULL, [Date] [datetime] NOT NULL, [RunTime] [int] NULL, [Message] [nvarchar](4000) NULL, [Exception] [text] NULL, CONSTRAINT [PK_Log] PRIMARY KEY CLUSTERED ( [Id] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY] GO ALTER TABLE [dbo].[Log] ADD CONSTRAINT [DF_Log_Date] DEFAULT (getdate()) FOR [Date] GO
配置如下:
<?xml version="1.0" encoding="utf-8" ?> <configuration> <configSections> <section name="log4net" type="log4net.Config.Log4NetConfigurationSectionHandler, log4net" /> </configSections> <appSettings> <!-- 开启内部调试 比如, 配置好了日志记录到数据库（Mysql、Oracle、Sql Server）等, 但就是记录不上, 又找不到原因时, 可以查看这个log排查原因 --> <add key="log4net.Internal.Debug" value="true"/> </appSettings> <system.diagnostics> <trace autoflush="true"> <listeners> <add name="textWriterTraceListener" type="System.Diagnostics.TextWriterTraceListener" initializeData="Log/log4net.Internal.Debug.log" /> </listeners> </trace> </system.diagnostics> <log4net> <!-- 按照日期分割日志文件 1小时1个 --> <appender name="LogFileAppenderByDate" type="log4net.Appender.RollingFileAppender"> <!-- 是否续写 --> <param name="AppendToFile" value="true" /> <!--最小锁定模型以允许多个进程可以写入同一个文件 在使用RollingFileAppender的方式不支持多进程同時写一個日志文件; 使用FileAppender才可以 --> <!--<param name="LockingModel" value="log4net.Appender.FileAppender+MinimalLock" />--> <!--<param name="StaticLogFileName" value="true" />--> <!-- 保存路径 --> <param name="File" value="Log/" /> <param name="DatePattern" value="yyyy-MM-dd HH.LOG" /> <!-- 注意后缀必须要大写, 不然会生成位置类型的文件 --> <param name="StaticLogFileName" value="false" /> <param name="RollingStyle" value="Date" /> <layout type="log4net.Layout.PatternLayout"> <param name="Header" value="
---- Start --------------------------------------------
" /> <param name="Footer" value="
---- End --------------------------------------------
" /> <param name="ConversionPattern" value="%newline AppDomain: %appdomain %newline Logger: %logger %newline Level: %level %newline ThreadId: %thread %newline File: %file %newline Line: %line %newline Identity: %identity %newline UserName: %username %newline DateTime: %date{yyyy-MM-dd HH:mm:ss.fff} %newline RunTime: %timestamp(ms) %newline Message: %message %newline Exception: %exception %newline %newline" /> </layout> </appender> <!-- 按照日志容量分割文件 10KB 1个 --> <appender name="LogFileAppenderBySize" type="log4net.Appender.RollingFileAppender"> <!--是否续写--> <param name="AppendToFile" value="true" /> <!--最小锁定模型以允许多个进程可以写入同一个文件 在使用RollingFileAppender的方式不支持多进程同時写一個日志文件; 使用FileAppender才可以 --> <!--<param name="LockingModel" value="log4net.Appender.FileAppender.MinimalLock" />--> <!--按照文件的大小进行变换日志文件--> <param name="RollingStyle" value="Size" /> <!--生成 log.txt, log.txt.1, log.txt.2--> <param name="File" value="Log/log.txt" /> <!--单个文件最大数量 好像只有在 按Size分割时有效--> <param name="MaximumFileSize" value="15KB"/> <!--保留的log文件数量 超过此数量后 自动删除之前的 好像只有在 按Size分割时有效--> <param name="MaxSizeRollBackups" value="3" /> <param name="StaticLogFileName" value="false" /> <layout type="log4net.Layout.PatternLayout"> <param name="Header" value="
---- Start --------------------------------------------
" /> <param name="Footer" value="
---- End --------------------------------------------
" /> <param name="ConversionPattern" value="%newline AppDomain: %appdomain %newline Logger: %logger %newline Level: %level %newline ThreadId: %thread %newline File: %file %newline Line: %line %newline Identity: %identity %newline UserName: %username %newline DateTime: %date{yyyy-MM-dd HH:mm:ss.fff} %newline RunTime: %timestamp(ms) %newline Message: %message %newline Exception: %exception %newline %newline" /> </layout> </appender> <!--输出到文件--> <appender name="LogFileAppenderBySizeAndDate" type="log4net.Appender.RollingFileAppender"> <param name="File" value="Log/" /> <param name="AppendToFile" value="true" /> <!-- 切割最多文件数 -1表示不限制产生日志文件数--> <param name="MaxSizeRollBackups" value="-1"/> <!-- 每个文件的大小限制 --> <param name="MaximumFileSize" value="10KB"/> <!-- RollingStyle Composite 综合 Size 按大小 Date 按时间 --> <param name="RollingStyle" value="Composite" /> <!--如果要在这个文件名后面加上.log后缀，必须使用转义字符--> <!--<param name="DatePattern" value=""Logs_"yyyyMMdd".txt"" />--> <param name="DatePattern" value="yyyyMMdd-HH.mm".log"" /> <param name="StaticLogFileName" value="false" /> <layout type="log4net.Layout.PatternLayout"> <param name="Header" value="
---- Start --------------------------------------------
" /> <param name="Footer" value="
---- End --------------------------------------------
" /> <param name="ConversionPattern" value="%newline AppDomain: %appdomain %newline Logger: %logger %newline Level: %level %newline ThreadId: %thread %newline File: %file %newline Line: %line %newline Identity: %identity %newline UserName: %username %newline DateTime: %date{yyyy-MM-dd HH:mm:ss.fff} %newline RunTime: %timestamp(ms) %newline Message: %message %newline Exception: %exception %newline %newline" /> </layout> <filter type="log4net.Filter.LevelRangeFilter"> <param name="LevelMin" value="ALL" /> <param name="LevelMax" value="OFF" /> </filter> </appender> <!--输出到SQL Server--> <appender name="AdoNetAppender" type="log4net.Appender.AdoNetAppender"> <bufferSize value="100" /> <connectionType value="System.Data.SqlClient.SqlConnection, System.Data, Version=1.0.3300.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" /> <connectionString value="Data Source=.;Initial Catalog=log4netTest;User ID=sa;Password=sa" /> <commandText value="INSERT INTO [dbo].[Log] ([AppDomain] ,[Logger] ,[Level] ,[Thread] ,[File] ,[Line] ,[Identity] ,[UserName] ,[Date] ,[RunTime] ,[Message] ,[Exception]) VALUES (@appDomain ,@logger ,@log_level ,@thread ,@file ,@line ,@identity ,@userName ,@log_date ,@runtime ,@message ,@exception)" /> <parameter> <parameterName value="@appDomain" /> <dbType value="String" /> <size value="255" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%appdomain" /> </layout> </parameter> <parameter> <parameterName value="@logger" /> <dbType value="String" /> <size value="255" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%logger" /> </layout> </parameter> <parameter> <parameterName value="@log_level" /> <dbType value="String" /> <size value="50" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%level" /> </layout> </parameter> <parameter> <parameterName value="@thread" /> <dbType value="String" /> <size value="255" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%thread" /> </layout> </parameter> <parameter> <parameterName value="@file" /> <dbType value="String" /> <size value="500" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%file" /> </layout> </parameter> <parameter> <parameterName value="@line" /> <dbType value="String" /> <size value="50" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%line" /> </layout> </parameter> <parameter> <parameterName value="@identity" /> <dbType value="String" /> <size value="50" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%identity" /> </layout> </parameter> <parameter> <parameterName value="@userName" /> <dbType value="String" /> <size value="50" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%username" /> </layout> </parameter> <parameter> <parameterName value="@log_date" /> <dbType value="DateTime" /> <layout type="log4net.Layout.RawTimeStampLayout" /> </parameter> <parameter> <parameterName value="@runtime" /> <dbType value="Int32" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%timestamp" /> </layout> </parameter> <parameter> <parameterName value="@message" /> <dbType value="String" /> <size value="4000" /> <layout type="log4net.Layout.PatternLayout"> <conversionPattern value="%message" /> </layout> </parameter> <parameter> <parameterName value="@exception" /> <dbType value="String" /> <size value="8000" /> <layout type="log4net.Layout.ExceptionLayout" /> </parameter> </appender> <root> <!-- 配置日志的级别，低于此级别的就不写到日志里面去 OFF、FATAL、ERROR, WARN, INFO, DEBUG, ALL --> <level value="DEBUG" /> <appender-ref ref="LogFileAppenderByDate" /> <appender-ref ref="LogFileAppenderBySize" /> <appender-ref ref="LogFileAppenderBySizeAndDate" /> <appender-ref ref="AdoNetAppender" /> </root> </log4net> <startup> <supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.5" /> </startup> </configuration>
[assembly: log4net.Config.XmlConfigurator(Watch = true)]
编写调用方法
class Program { private static readonly ILog log = LogManager.GetLogger(typeof(Program).Name); static void Main(string[] args) { for (int i = 0; i < 50; i++) { try { int a = 8, b = 0, c = 0; c = a / b; } catch (Exception ex) { if (log.IsErrorEnabled) { log.Error(null, ex); } if (log.IsDebugEnabled) { log.Debug("Debug", ex); } } } Console.ReadKey(); } }
查看运行结果:
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" 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" 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