Skywalking原理学习 -- skywalking 搭建及入门示例

た入场券 2022-02-17 16:44 415阅读 0赞

**什么是 SkyWalking**  
SkyWalking 是观察性分析平台和应用性能管理系统。  
提供分布式追踪、服务网格遥测分析、度量聚合和可视化一体化解决方案。[官网介绍地址][Link 1]  
架构：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70]

### 环境搭建 ###

#### 安装下载部署 ####

1、下载  
地址：http://skywalking.apache.org/zh/downloads/  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 1]  
2、安装  
下载解压后目录如下：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 2]  
不需要修改配置文件，在bin目录下执行startup.bat或startup.sh即可启动服务：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 3]  
执行startup.bat之后会启动如下两个服务：  
（1）Skywalking-Collector：追踪信息收集器，通过 gRPC/Http 收集客户端的采集信息 ，Http默认端口 12800，gRPC默认端口 11800。  
（2）Skywalking-Webapp：管理平台页面 默认端口 8080，登录信息 admin/admin

3、配置信息  
（1）收集器相关配置：支持 http/gRPC收集

core:
      default:
        restHost: ${SW_CORE_REST_HOST:0.0.0.0}
        restPort: ${SW_CORE_REST_PORT:12800}
        restContextPath: ${SW_CORE_REST_CONTEXT_PATH:/}
        gRPCHost: ${SW_CORE_GRPC_HOST:0.0.0.0}
        gRPCPort: ${SW_CORE_GRPC_PORT:11800}
        downsampling:
        - Hour
        - Day
        - Month
        # Set a timeout on metric data. After the timeout has expired, the metric data will automatically be deleted.
        recordDataTTL: ${SW_CORE_RECORD_DATA_TTL:90} # Unit is minute
        minuteMetricsDataTTL: ${SW_CORE_MINUTE_METRIC_DATA_TTL:90} # Unit is minute
        hourMetricsDataTTL: ${SW_CORE_HOUR_METRIC_DATA_TTL:36} # Unit is hour
        dayMetricsDataTTL: ${SW_CORE_DAY_METRIC_DATA_TTL:45} # Unit is day
        monthMetricsDataTTL: ${SW_CORE_MONTH_METRIC_DATA_TTL:18} # Unit is month

（2）收集信息存储：支持h2和 ES

storage:
      h2:
        driver: ${SW_STORAGE_H2_DRIVER:org.h2.jdbcx.JdbcDataSource}
        url: ${SW_STORAGE_H2_URL:jdbc:h2:mem:skywalking-oap-db}
        user: ${SW_STORAGE_H2_USER:sa}
    #  elasticsearch:
    #    # nameSpace: ${SW_NAMESPACE:""}
    #    clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
    #    indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
    #    indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
    #    # Batch process setting, refer to https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.5/java-docs-bulk-processor.html
    #    bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:2000} # Execute the bulk every 2000 requests
    #    bulkSize: ${SW_STORAGE_ES_BULK_SIZE:20} # flush the bulk every 20mb
    #    flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:10} # flush the bulk every 10 seconds whatever the number of requests
    #    concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests

(3)可采集信息：jvm运行相关信息，zipkin追踪日志等。

receiver-register:
      default:
    receiver-trace:
      default:
        bufferPath: ${SW_RECEIVER_BUFFER_PATH:../trace-buffer/}  # Path to trace buffer files, suggest to use absolute path
        bufferOffsetMaxFileSize: ${SW_RECEIVER_BUFFER_OFFSET_MAX_FILE_SIZE:100} # Unit is MB
        bufferDataMaxFileSize: ${SW_RECEIVER_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MB
        bufferFileCleanWhenRestart: ${SW_RECEIVER_BUFFER_FILE_CLEAN_WHEN_RESTART:false}
        sampleRate: ${SW_TRACE_SAMPLE_RATE:10000} # The sample rate precision is 1/10000. 10000 means 100% sample in default.
    receiver-jvm:
      default:
    #service-mesh:
    #  default:
    #    bufferPath: ${SW_SERVICE_MESH_BUFFER_PATH:../mesh-buffer/}  # Path to trace buffer files, suggest to use absolute path
    #    bufferOffsetMaxFileSize: ${SW_SERVICE_MESH_OFFSET_MAX_FILE_SIZE:100} # Unit is MB
    #    bufferDataMaxFileSize: ${SW_SERVICE_MESH_BUFFER_DATA_MAX_FILE_SIZE:500} # Unit is MB
    #    bufferFileCleanWhenRestart: ${SW_SERVICE_MESH_BUFFER_FILE_CLEAN_WHEN_RESTART:false}
    #istio-telemetry:
    #  default:
    #receiver_zipkin:
    #  default:
    #    host: ${SW_RECEIVER_ZIPKIN_HOST:0.0.0.0}
    #    port: ${SW_RECEIVER_ZIPKIN_PORT:9411}
    #    contextPath: ${SW_RECEIVER_ZIPKIN_CONTEXT_PATH:/}

#### 页面介绍 ####

访问地址：http://localhost:8080/

1、首页：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 4]  
2、调用关系  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 5]  
3、服务调用信息  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 6]  
4、追踪日志信息  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly90aWFuanVud2VpLmJsb2cuY3Nkbi5uZXQ_size_16_color_FFFFFF_t_70 7]

### Agent 使用示例 ###

Skywalking 采用 Java 探针技术（java agent [博客][Link 2]）,对客户端应用程序没有任何代码侵入，使用起来简单方便，当然其具体实现就是需要针对不同的框架及服务提供探针插件。  
使用命令：

java -javaagent:G:\github\incubator-skywalking\skywalking-agent\skywalking-agent.jar
    -Dskywalking.agent.service_name=test  -jar app.jar

这样就可以完成对目前应用 app.jar 的监控

Tomcat 监控

Tomcat 7 修改tomcat/bin/catalina.sh，在首行加入如下信息

CATALINA_OPTS="$CATALINA_OPTS -javaagent:/path/to/skywalking-agent/skywalking-agent.jar"; export CATALINA_OPTS

Tomcat 8 修改tomcat/bin/catalina.sh，在首行加入如下信息

set "CATALINA_OPTS=... -javaagent:E:\apache-tomcat-8.5.20\skywalking-agent\skywalking-agent.jar"

相关代码编译调试运行请查看另一篇博客 [skywalking 开发环境编译及联调][skywalking]

[Link 1]: http://skywalking.apache.org/zh/
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[Link 2]: https://segmentfault.com/a/1190000015977174
[skywalking]: https://blog.csdn.net/qq924862077/article/details/107236594