对于日志记录,我们使用 Logback。目前我们正在使用 Splunk 来查看 Spring Boot 日志。根据项目要求,我们需要转向 Kibana。首先,我们应该拥有 JSON 格式的日志,以便 Kibana 可以轻松处理它。目前我们没有用 Kibana 替换 Splunk,但是当与 Kibana 成功集成后,我们可以逐步在所有项目中替换 Splunk。
因此,根据要求,我们需要现有的日志,即文本日志,但出于研发目的,我们还需要 JSON 日志。
对于日志记录,我们使用 Logback。目前我们正在使用 Splunk 来查看 Spring Boot 日志。根据项目要求,我们需要转向 Kibana。首先,我们应该拥有 JSON 格式的日志,以便 Kibana 可以轻松处理它。目前我们没有用 Kibana 替换 Splunk,但是当与 Kibana 成功集成后,我们可以逐步在所有项目中替换 Splunk。
因此,根据要求,我们需要现有的日志,即文本日志,但出于研发目的,我们还需要 JSON 日志。
这很简单。您只需要在文件中添加logstash-logback-encoder
依赖项并在pom.xml
文件中写入一些配置logback.xml
。请按照以下步骤来满足您的要求。
Step1:在logstash-logback-encoder
.pom.xml
<dependency>
<groupId>net.logstash.logback</groupId>
<artifactId>logstash-logback-encoder</artifactId>
<version>6.4</version>
</dependency>
步骤2:在里面创建logback.xml
文件src/main/resources/
并复制粘贴以下内容。
<?xml version="1.0" encoding="UTF-8"?>
<configuration debug="false">
<include resource="org/springframework/boot/logging/logback/defaults.xml" />
<include resource="org/springframework/boot/logging/logback/console-appender.xml" />
<property name="LOG_PATH" value="logs" />
<property name="CONSOLE_LOG_PATTERN" value="[%-5level] %d{yyyy-MM-dd HH:mm:ss.SSS} [%t] %X{id} %c{1} - %msg%n" />
<property name="FILE_LOG_PATTERN" value="[%-5level] %d{yyyy-MM-dd HH:mm:ss.SSS} [%t] %X{id} %c{1} - %msg%n" />
<appender name="CONSOLE_APPENDER" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
<charset>utf8</charset>
</encoder>
</appender>
<appender name="ROLLING_TEXT_FILE_APPENDER" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_PATH}/application-text.log</file>
<encoder>
<Pattern>${FILE_LOG_PATTERN}</Pattern>
</encoder>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_PATH}/application-text.%d{yyyy-MM-dd}.%i.gz
</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<maxHistory>10</maxHistory>
</rollingPolicy>
</appender>
<appender name="ROLLING_JSON_FILE_APPENDER" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_PATH}/application-json.log</file>
<encoder class="net.logstash.logback.encoder.LogstashEncoder" />
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_PATH}/application-json.%d{yyyy-MM-dd}.%i.gz
</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>100MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<maxHistory>10</maxHistory>
</rollingPolicy>
</appender>
<root level="INFO">
<appender-ref ref="CONSOLE_APPENDER" />
<appender-ref ref="ROLLING_TEXT_FILE_APPENDER" />
<appender-ref ref="ROLLING_JSON_FILE_APPENDER" />
</root>
</configuration>
第三步:现在你可以在类的任何地方使用日志语句。假设您在 Spring Boot 的主类中使用。
import org.slf4j.MDC;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import com.altafjava.constant.AppConstant;
import lombok.extern.slf4j.Slf4j;
@Slf4j
@SpringBootApplication
public class JsonLogApplication {
public static void main(String[] args) {
SpringApplication.run(JsonLogApplication.class, args);
MDC.put("id", AppConstant.PROJECT_NAME_PREFIX + "_" + AppConstant.MARKET_CODE + "_" + AppConstant.PARAM_TYPE);
log.info("---------- Spring Application started successfully ----------");
log.debug("This is a debug message.");
log.info("This is an info message.");
log.warn("This is a warn message.");
log.error("This is an error message.");
log.info("---------- Spring Application ended successfully ----------");
}
}
这将在目录中创建两个日志文件
logs
。
application-text.log
看起来像这样[INFO ] 2020-09-11 22:36:13.627 [main] DEMO_IND_PARAM c.a.JsonLogApplication - ---------- Spring Application started successfully ----------
[INFO ] 2020-09-11 22:36:13.630 [main] DEMO_IND_PARAM c.a.JsonLogApplication - This is an info message.
[WARN ] 2020-09-11 22:36:13.630 [main] DEMO_IND_PARAM c.a.JsonLogApplication - This is a warn message.
[ERROR] 2020-09-11 22:36:13.631 [main] DEMO_IND_PARAM c.a.JsonLogApplication - This is an error message.
[INFO ] 2020-09-11 22:36:13.631 [main] DEMO_IND_PARAM c.a.JsonLogApplication - ---------- Spring Application ended successfully ----------
application-json.log
看起来像这样{"@timestamp":"2020-09-11T22:36:13.627+05:30","@version":"1","message":"---------- Spring Application started successfully ----------","logger_name":"com.altafjava.JsonLogApplication","thread_name":"main","level":"INFO","level_value":20000,"id":"DEMO_IND_PARAM"}
{"@timestamp":"2020-09-11T22:36:13.630+05:30","@version":"1","message":"This is an info message.","logger_name":"com.altafjava.JsonLogApplication","thread_name":"main","level":"INFO","level_value":20000,"id":"DEMO_IND_PARAM"}
{"@timestamp":"2020-09-11T22:36:13.630+05:30","@version":"1","message":"This is a warn message.","logger_name":"com.altafjava.JsonLogApplication","thread_name":"main","level":"WARN","level_value":30000,"id":"DEMO_IND_PARAM"}
{"@timestamp":"2020-09-11T22:36:13.631+05:30","@version":"1","message":"This is an error message.","logger_name":"com.altafjava.JsonLogApplication","thread_name":"main","level":"ERROR","level_value":40000,"id":"DEMO_IND_PARAM"}
{"@timestamp":"2020-09-11T22:36:13.631+05:30","@version":"1","message":"---------- Spring Application ended successfully ----------","logger_name":"com.altafjava.JsonLogApplication","thread_name":"main","level":"INFO","level_value":20000,"id":"DEMO_IND_PARAM"}
注意:这里的@Slf4j 是一个 Lombok 注释。这意味着无需创建 LoggerFactory 就可以直接使用日志方法。您需要在 IDE 中安装 Lombok 并在 pom.xml 中添加依赖项
如果您需要演示项目,请访问https://github.com/altafjava/json-log
您可以在 logback.xml 中为 json 和文本格式配置如下代码段。
<appender name="json" class="ch.qos.logback.core.ConsoleAppender">
<layout class="ch.qos.logback.contrib.json.classic.JsonLayout">
<jsonFormatter
class="ch.qos.logback.contrib.jackson.JacksonJsonFormatter">
<prettyPrint>true</prettyPrint>
</jsonFormatter>
<timestampFormat>yyyy-MM-dd' 'HH:mm:ss.SSS</timestampFormat>
</layout>
</appender>
<appender name="FILE" class="ch.qos.logback.core.FileAppender">
<file>logfile.log</file>
<append>true</append>
<encoder>
<pattern>%-4relative [%thread] %-5level %logger{35} - %msg %n</pattern>
</encoder>
</appender>
只需将此处的类更改为 iam 将一个打印到 consoleAppender 并将另一个打印到文件,您也可以将两者都指向 consoleappender。