skywalking使用指南

2019-05-29 skywalking java skywalking spring cloud 0 评论字数统计: 1558字阅读时长: 4分

运行

单机运行

下载最新release包
解压，sh ${skywalkingpath}/bin/startup.sh
在springboot启动命令前加入启动参数

-javaagent:${path}/skywalking-agent.jar  #path为skywalking解压的agent目录

访问localhost:8080查看结果

docker 运行

前置条件

下载

下载最新release包并解压

构建docker bridge

dcoker network create skywalking

使用数据库

ElasticSearch

启动es

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:6.4.3 #skywalking目前只支持6.x(6.1.0版本)

初始化数据库

编辑 ${path}/apache-skywalking-bin/config/appliccation.yml

storage:
  #elasticsearch:
    nameSpace: ${SW_NAMESPACE:""}
    clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:dev.iotechina.com:9201}
    #user: ${SW_ES_USER:""}
    #password: ${SW_ES_PASSWORD:""}
    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
    metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000}
    segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200}

执行

sh ${path}/apache-skywalking-bin/bin/oapServiceInit.sh

执行


tail -f ${path}/apache-skywalking-bin/config/skywalking-oap-server.log

等待执行完成

mysql

复制mysql驱动到${path}/apapch-skywalking-bin/oap-libs

编辑 ${path}/apache-skywalking-bin/config/appliccation.yml


storage:
  mysql:
    metadataQueryMaxSize: ${SW_STORAGE_H2_QUERY_MAX_SIZE:5000}

编辑${path}/apache-skywalking-bin/config/datasource-setting.properties


jdbcUrl=jdbc:mysql://dev.iotechina.com:3316/sky_walking
dataSource.user= you know
dataSource.password=you know
dataSource.cachePrepStmts=true
dataSource.prepStmtCacheSize=250
dataSource.prepStmtCacheSqlLimit=2048
dataSource.useServerPrepStmts=true
dataSource.useLocalSessionState=true
dataSource.rewriteBatchedStatements=true
dataSource.cacheResultSetMetadata=true
dataSource.cacheServerConfiguration=true
dataSource.elideSetAutoCommits=true
dataSource.maintainTimeStats=false

sh ${path}/apache-skywalking-bin/bin/oapServiceInit.sh

执行

tail -f ${path}/apache-skywalking-bin/config/skywalking-oap-server.log

等待执行完成

构建OAP镜像

准备条件

复制oap-libs文件夹到/root/skywalking/oap目录

复制config目录到/root/skywalking/oap目录

编辑config目录下log4j2.xml：

<?xml version="1.0" encoding="UTF-8"?>

<Configuration status="INFO">
    <Appenders>
        <Console name="Console" target="SYSTEM_OUT">
            <PatternLayout charset="UTF-8" pattern="%d - %c -%-4r [%t] %-5p %x - %m%n"/>
        </Console>
    </Appenders>
    <Loggers>
        <logger name="org.eclipse.jetty" level="INFO"/>
        <logger name="org.apache.zookeeper" level="INFO"/>
        <logger name="org.elasticsearch.common.network.IfConfig" level="INFO"/>
        <logger name="io.grpc.netty" level="INFO"/>
        <logger name="org.apache.skywalking.oap.server.receiver.istio.telemetry" level="DEBUG"/>
        <Root level="INFO">
            <AppenderRef ref="Console"/>
        </Root>
    </Loggers>
</Configuration>

编写启动脚本

新建docker-entrypoint.sh:

#!/bin/bash

set -ex

CLASSPATH="config:$CLASSPATH"
for i in oap-libs/*.jar
do
    CLASSPATH="$i:$CLASSPATH"
done

exec java -Xms256M -Xmx512M -classpath $CLASSPATH org.apache.skywalking.oap.server.starter.OAPServerStartUp "$@"

编写Dockerfile

新建Dcokerfile:

FROM openjdk:8-jre-alpine
RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
RUN echo 'Asia/Shanghai' >/etc/timezone  #设置时区，不然ui会查不到数据
WORKDIR /skywalking
RUN apk add --no-cache \
    bash
COPY docker-entrypoint.sh /skywalking
COPY oap-libs/ /skywalking/oap-libs
EXPOSE 12800 11800
ENTRYPOINT ["sh","docker-entrypoint.sh"]

构建镜像

dcoker build -t {your tag} .

启动容器

docker run --name skywalking-oap -d -v /root/skywalking/oap/config:/skywalking/config -p 12800:12800 -p  11800:11800 --network skywalking {your tag}

构建ui镜像

准备条件

复制webapp文件夹到/root/skywalking/ui目录

在/root/skywalking/ui/webapp目录下新建文件logback.xml：

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
    <include resource="org/springframework/boot/logging/logback/base.xml" />
</configuration>

编写启动脚本:

新建docker-entrypoint.sh：

#!/bin/bash

exec java -XX:+UnlockExperimentalVMOptions -XX:+UseCGroupMemoryLimitForHeap -jar /skywalking/webapp/skywalking-webapp.jar --logging.config=/skywalking/webapp/logback.xml  --spring.config.location=/skywalking/webapp/webapp.yml "$@"

编写Dockerfile:

新建Dockerfile：

FROM openjdk:8-jre-alpine


RUN apk add --no-cache \
    bash

RUN echo 'Asia/Shanghai' >/etc/timezone
WORKDIR /skywalking


COPY docker-entrypoint.sh .

EXPOSE 8080

ENTRYPOINT ["bash", "docker-entrypoint.sh"]

构建镜像

dcoker build -t  {your tag} .

修改配置

编辑/root/skywalking/webapp/webapp.yml

server:
  port: 8080

collector:
  path: /graphql
  ribbon:
    ReadTimeout: 10000
    # Point to all backend's restHost:restPort, split by ,
    listOfServers: skywalking-oap:12800  #服务端地址
security:
    user:
        admin:
            password: you know

启动容器

 docker run --name skywalking-ui -d -v /root/skywalking/ui/webapp:/skywalking/webapp -p 8080:8080 --network skywalking  {your tag}

修改agent配置

修改 path/agent/config/agent.config：

collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:你的服务器地址:11800}

启动应用并访问服务器8080端口查看信息

连接`elasticsearch`(基于上一步docker运行skywalking)

启动`esasticsearch`

 docker run -d --name es-skywalking  -p 9201:9200 -p 9301:9300 -e "discovery.type=single-node" elasticsearch:6.4.3  #skywalking 6.1.0 貌似不支持 es 7.x的版本

初始化`elasticsearch`

修改本地 path/config/application.yml:

storage:
  elasticsearch:
    #nameSpace: ${SW_NAMESPACE:""}
    clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:你的服务器地址:9201}
    #user: ${SW_ES_USER:""}
    #password: ${SW_ES_PASSWORD:""}
    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
    metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000}
    segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200}

执行

sh {path}/bin/oapServiceInit.sh

将`es`接入 skywalking bridge

docker network connect skywalking es-skywalking

修改`skywalking`配置文件

修改/root/skywalking/oap/config/application.yml：

storage:
  elasticsearch:
    #nameSpace: ${SW_NAMESPACE:""}
    clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:es-skywalking:9200}
    #user: ${SW_ES_USER:""}
    #password: ${SW_ES_PASSWORD:""}
    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
    metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000}
    segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200}

重启`skywalking-oap`

docker restart skywalking-oap

plugin使用

apm-toolkit-logback-1.x

项目pom文件引入

        <dependency>
            <groupId>org.apache.skywalking</groupId>
            <artifactId>apm-toolkit-logback-1.x</artifactId>
            <version>6.1.0</version>
        </dependency>

编辑logback.yml

   <appender name="console" class="ch.qos.logback.core.ConsoleAppender">
        <encoder class="ch.qos.logback.core.encoder.LayoutWrappingEncoder">
            <layout class="org.apache.skywalking.apm.toolkit.log.logback.v1.x.TraceIdPatternLogbackLayout">
                <Pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%tid] [%thread] %-5level %logger{36} -%msg%n</Pattern>
            </layout>
        </encoder>
    </appender>

skywalking使用指南

运行

单机运行

docker 运行

前置条件

下载

构建docker bridge

使用数据库

ElasticSearch

启动es

初始化数据库

mysql

复制mysql驱动到${path}/apapch-skywalking-bin/oap-libs

编辑 ${path}/apache-skywalking-bin/config/appliccation.yml

编辑${path}/apache-skywalking-bin/config/datasource-setting.properties

构建OAP镜像

准备条件

编写启动脚本

编写Dockerfile

构建镜像

启动容器

构建ui镜像

准备条件

编写启动脚本:

编写Dockerfile:

构建镜像

修改配置

启动容器

修改agent配置

启动应用并访问服务器8080端口查看信息

连接elasticsearch(基于上一步docker运行skywalking)

启动esasticsearch

初始化elasticsearch

将es接入 skywalking bridge

修改skywalking配置文件

重启skywalking-oap

plugin使用

apm-toolkit-logback-1.x

项目pom文件引入

编辑logback.yml

连接`elasticsearch`(基于上一步docker运行skywalking)

启动`esasticsearch`

初始化`elasticsearch`

将`es`接入 skywalking bridge

修改`skywalking`配置文件

重启`skywalking-oap`