skywalking搭建

下载

链接：https://skywalking.apache.org/downloads/
下载APM（服务端）和agent（微服务客户端）
APM目录：
bin：服务端启动的脚本
config：一些配置文件的目录
logs：oap服务的日志目录
oap-libs：oap所需的依赖目录
webapp：UI服务的目录

配置启动APM

修改配置/config/application.yml

cluster: selector改成${SW_CLUSTER:nacos}
配置nacos

将core 配置中的restHost与gRPCHost 修改为本地的ip
示例：

cluster:
  selector: ${SW_CLUSTER:nacos}
  standalone:
  # Please check your ZooKeeper is 3.5+, However, it is also compatible with ZooKeeper 3.4.x. Replace the ZooKeeper 3.5+
  # library the oap-libs folder with your ZooKeeper 3.4.x library.
  zookeeper:
    namespace: ${SW_NAMESPACE:""}
    hostPort: ${SW_CLUSTER_ZK_HOST_PORT:localhost:2181}
    # Retry Policy
    baseSleepTimeMs: ${SW_CLUSTER_ZK_SLEEP_TIME:1000} # initial amount of time to wait between retries
    maxRetries: ${SW_CLUSTER_ZK_MAX_RETRIES:3} # max number of times to retry
    # Enable ACL
    enableACL: ${SW_ZK_ENABLE_ACL:false} # disable ACL in default
    schema: ${SW_ZK_SCHEMA:digest} # only support digest schema
    expression: ${SW_ZK_EXPRESSION:skywalking:skywalking}
  kubernetes:
    namespace: ${SW_CLUSTER_K8S_NAMESPACE:default}
    labelSelector: ${SW_CLUSTER_K8S_LABEL:app=collector,release=skywalking}
    uidEnvName: ${SW_CLUSTER_K8S_UID:SKYWALKING_COLLECTOR_UID}
  consul:
    serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}
    # Consul cluster nodes, example: 10.0.0.1:8500,10.0.0.2:8500,10.0.0.3:8500
    hostPort: ${SW_CLUSTER_CONSUL_HOST_PORT:localhost:8500}
    aclToken: ${SW_CLUSTER_CONSUL_ACLTOKEN:""}
  etcd:
    # etcd cluster nodes, example: 10.0.0.1:2379,10.0.0.2:2379,10.0.0.3:2379
    endpoints: ${SW_CLUSTER_ETCD_ENDPOINTS:localhost:2379}
    namespace: ${SW_CLUSTER_ETCD_NAMESPACE:/skywalking}
    serviceName: ${SW_SCLUSTER_ETCD_ERVICE_NAME:"SkyWalking_OAP_Cluster"}
    authentication: ${SW_CLUSTER_ETCD_AUTHENTICATION:false}
    user: ${SW_SCLUSTER_ETCD_USER:}
    password: ${SW_SCLUSTER_ETCD_PASSWORD:}
  nacos:
    serviceName: ${SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}
    hostPort: ${SW_CLUSTER_NACOS_HOST_PORT:localhost:8888}
    # Nacos Configuration namespace
    namespace: ${SW_CLUSTER_NACOS_NAMESPACE:"public"}
    # Nacos auth username
    username: ${SW_CLUSTER_NACOS_USERNAME:"nacos"}
    password: ${SW_CLUSTER_NACOS_PASSWORD:"nacos"}
    # Nacos auth accessKey
    accessKey: ${SW_CLUSTER_NACOS_ACCESSKEY:""}
    secretKey: ${SW_CLUSTER_NACOS_SECRETKEY:""}
...
core:
  selector: ${SW_CORE:default}
  default:
    restHost: ${SW_CORE_REST_HOST:192.168.31.8}

配置web端口：webapp/webapp.yml

server:
  port: 8077

启动
bin目录下：

oap服务：对应的启动脚本oapService.bat，Linux下对应的后缀是sh
UI服务：对应的启动脚本webappService.bat，Linux下对应的后缀是sh
二者都启动：startup.bat
localhost:8077进入服务

配置微服务客户端

Skywalking采用字节码增强技术，对于微服务无代码侵入，无需依赖
配置启动参数

-javaagent:D:\1project\alibaba-cloud\skywalking\agent\skywalking-agent.jar
-Dskywalking.agent.service_name=skywalking-gateway-service
-Dskywalking.collector.backend_service=127.0.0.1:11800

skywalking-gateway-service：在skywalking中的服务名称
127.0.0.1:11800：指定oap服务绑定的地址，11800是默认端口
idea中配置的话在edit configuration VM options

持久化

skywalking默认持久化的方式是存储在内存
这里用mysql持久化
修改配置文件
config/application.yml

storage: selector: ${SW_STORAGE:mysql}

配置mysql
示例：

storage:
  selector: ${SW_STORAGE:mysql}
  elasticsearch:
    namespace: ${SW_NAMESPACE:""}
    clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
    protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
    connectTimeout: ${SW_STORAGE_ES_CONNECT_TIMEOUT:500}
    socketTimeout: ${SW_STORAGE_ES_SOCKET_TIMEOUT:30000}
    numHttpClientThread: ${SW_STORAGE_ES_NUM_HTTP_CLIENT_THREAD:0}
    user: ${SW_ES_USER:""}
    password: ${SW_ES_PASSWORD:""}
    trustStorePath: ${SW_STORAGE_ES_SSL_JKS_PATH:""}
    trustStorePass: ${SW_STORAGE_ES_SSL_JKS_PASS:""}
    secretsManagementFile: ${SW_ES_SECRETS_MANAGEMENT_FILE:""} # Secrets management file in the properties format includes the username, password, which are managed by 3rd party tool.
    dayStep: ${SW_STORAGE_DAY_STEP:1} # Represent the number of days in the one minute/hour/day index.
    indexShardsNumber: ${SW_STORAGE_ES_INDEX_SHARDS_NUMBER:1} # Shard number of new indexes
    indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:1} # Replicas number of new indexes
    # Super data set has been defined in the codes, such as trace segments.The following 3 config would be improve es performance when storage super size data in es.
    superDatasetDayStep: ${SW_SUPERDATASET_STORAGE_DAY_STEP:-1} # Represent the number of days in the super size dataset record index, the default value is the same as dayStep when the value is less than 0
    superDatasetIndexShardsFactor: ${SW_STORAGE_ES_SUPER_DATASET_INDEX_SHARDS_FACTOR:5} #  This factor provides more shards for the super data set, shards number = indexShardsNumber * superDatasetIndexShardsFactor. Also, this factor effects Zipkin and Jaeger traces.
    superDatasetIndexReplicasNumber: ${SW_STORAGE_ES_SUPER_DATASET_INDEX_REPLICAS_NUMBER:0} # Represent the replicas number in the super size dataset record index, the default value is 0.
    indexTemplateOrder: ${SW_STORAGE_ES_INDEX_TEMPLATE_ORDER:0} # the order of index template
    bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:5000} # Execute the async bulk record data every ${SW_STORAGE_ES_BULK_ACTIONS} requests
    # flush the bulk every 10 seconds whatever the number of requests
    # INT(flushInterval * 2/3) would be used for index refresh period.
    flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:15}
    concurrentRequests: ${SW_STORAGE_ES_CONCURRENT_REQUESTS:2} # the number of concurrent requests
    resultWindowMaxSize: ${SW_STORAGE_ES_QUERY_MAX_WINDOW_SIZE:10000}
    metadataQueryMaxSize: ${SW_STORAGE_ES_QUERY_MAX_SIZE:5000}
    segmentQueryMaxSize: ${SW_STORAGE_ES_QUERY_SEGMENT_SIZE:200}
    profileTaskQueryMaxSize: ${SW_STORAGE_ES_QUERY_PROFILE_TASK_SIZE:200}
    oapAnalyzer: ${SW_STORAGE_ES_OAP_ANALYZER:"{\"analyzer\":{\"oap_analyzer\":{\"type\":\"stop\"}}}"} # the oap analyzer.
    oapLogAnalyzer: ${SW_STORAGE_ES_OAP_LOG_ANALYZER:"{\"analyzer\":{\"oap_log_analyzer\":{\"type\":\"standard\"}}}"} # the oap log analyzer. It could be customized by the ES analyzer configuration to support more language log formats, such as Chinese log, Japanese log and etc.
    advanced: ${SW_STORAGE_ES_ADVANCED:""}
  h2:
    driver: ${SW_STORAGE_H2_DRIVER:org.h2.jdbcx.JdbcDataSource}
    url: ${SW_STORAGE_H2_URL:jdbc:h2:mem:skywalking-oap-db;DB_CLOSE_DELAY=-1}
    user: ${SW_STORAGE_H2_USER:sa}
    metadataQueryMaxSize: ${SW_STORAGE_H2_QUERY_MAX_SIZE:5000}
    maxSizeOfArrayColumn: ${SW_STORAGE_MAX_SIZE_OF_ARRAY_COLUMN:20}
    numOfSearchableValuesPerTag: ${SW_STORAGE_NUM_OF_SEARCHABLE_VALUES_PER_TAG:2}
    maxSizeOfBatchSql: ${SW_STORAGE_MAX_SIZE_OF_BATCH_SQL:100}
    asyncBatchPersistentPoolSize: ${SW_STORAGE_ASYNC_BATCH_PERSISTENT_POOL_SIZE:1}
  mysql:
    properties:
      jdbcUrl: ${SW_JDBC_URL:"jdbc:mysql://localhost:3306/skywalking?useUnicode=true&characterEncoding=utf-8&serverTimezone=GMT%2b8"}
      dataSource.user: ${SW_DATA_SOURCE_USER:test}
      dataSource.password: ${SW_DATA_SOURCE_PASSWORD:test}
      dataSource.cachePrepStmts: ${SW_DATA_SOURCE_CACHE_PREP_STMTS:true}
      dataSource.prepStmtCacheSize: ${SW_DATA_SOURCE_PREP_STMT_CACHE_SQL_SIZE:250}
      dataSource.prepStmtCacheSqlLimit: ${SW_DATA_SOURCE_PREP_STMT_CACHE_SQL_LIMIT:2048}
      dataSource.useServerPrepStmts: ${SW_DATA_SOURCE_USE_SERVER_PREP_STMTS:true}
    metadataQueryMaxSize: ${SW_STORAGE_MYSQL_QUERY_MAX_SIZE:5000}
    maxSizeOfArrayColumn: ${SW_STORAGE_MAX_SIZE_OF_ARRAY_COLUMN:20}
    numOfSearchableValuesPerTag: ${SW_STORAGE_NUM_OF_SEARCHABLE_VALUES_PER_TAG:2}
    maxSizeOfBatchSql: ${SW_STORAGE_MAX_SIZE_OF_BATCH_SQL:2000}
    asyncBatchPersistentPoolSize: ${SW_STORAGE_ASYNC_BATCH_PERSISTENT_POOL_SIZE:4}

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