如何使用skywalking 进行全链路监控

http {
    lua_package_path "/Path/to/.../skywalking-nginx-lua/lib/skywalking/?.lua;;";
    # Buffer represents the register inform and the queue of the finished segment
    lua_shared_dict tracing_buffer 100m;
    # Init is the timer setter and keeper
    # Setup an infinite loop timer to do register and trace report.
    init_worker_by_lua_block {
        local metadata_buffer = ngx.shared.tracing_buffer
        -- Set service name
        metadata_buffer:set('serviceName', 'User Service Name')
        -- Instance means the number of Nginx deployment, does not mean the worker instances
        metadata_buffer:set('serviceInstanceName', 'User Service Instance Name')
        #这是你的skywalking server地址
        require("client"):startBackendTimer("http://127.0.0.1:12800")
    }
    server {
        listen 8080;
        location /ingress {
            default_type text/html;
            rewrite_by_lua_block {
                ------------------------------------------------------
                -- NOTICE, this should be changed manually
                -- This variable represents the upstream logic address
                -- Please set them as service logic name or DNS name
                --
                -- Currently, we can not have the upstream real network address
                ------------------------------------------------------
                require("tracer"):start("upstream service")
                -- If you want correlation custom data to the downstream service
                -- require("tracer"):start("upstream service", {custom = "custom_value"})
            }
            # 这是你的目标下游服务，比如java的微服务网关
            proxy_pass http://127.0.0.1:8080/backend;
            body_filter_by_lua_block {
                if ngx.arg[2] then
                    require("tracer"):finish()
                end
            }
            log_by_lua_block {
                require("tracer"):prepareForReport()
            }
        }
    }
}

#收集SpringMVC plugin插件请求参，在tomcat上时这俩设置一个即可plugin.tomcat.collect_http_params or   plugin.springmvc.collect_http_params
 plugin.springmvc.collect_http_params=true
 #请求参数收集的最大字符长度, 配置过大会影响性能.
 plugin.http.http_params_length_threshold=1024

core:
  selector: ${SW_CORE:default}
  default:
    # Mixed: Receive agent data, Level 1 aggregate, Level 2 aggregate
    # Receiver: Receive agent data, Level 1 aggregate
    # Aggregator: Level 2 aggregate
    role: ${SW_CORE_ROLE:Mixed} # Mixed/Receiver/Aggregator
    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}
    gRPCSslEnabled: ${SW_CORE_GRPC_SSL_ENABLED:false}
    gRPCSslKeyPath: ${SW_CORE_GRPC_SSL_KEY_PATH:""}
    gRPCSslCertChainPath: ${SW_CORE_GRPC_SSL_CERT_CHAIN_PATH:""}
    gRPCSslTrustedCAPath: ${SW_CORE_GRPC_SSL_TRUSTED_CA_PATH:""}
    downsampling:
      - Hour
      - Day
      - Month
    # Set a timeout on metrics data. After the timeout has expired, the metrics data will automatically be deleted.
    enableDataKeeperExecutor: ${SW_CORE_ENABLE_DATA_KEEPER_EXECUTOR:true} # Turn it off then automatically metrics data delete will be close.
    dataKeeperExecutePeriod: ${SW_CORE_DATA_KEEPER_EXECUTE_PERIOD:5} # How often the data keeper executor runs periodically, unit is minute
    recordDataTTL: ${SW_CORE_RECORD_DATA_TTL:3} # Unit is day
    metricsDataTTL: ${SW_CORE_RECORD_DATA_TTL:7} # Unit is day

enableDataKeeperExecutor: ${SW_CORE_ENABLE_DATA_KEEPER_EXECUTOR:true} # Turn it off then automatically metrics data delete will be close.
dataKeeperExecutePeriod: ${SW_CORE_DATA_KEEPER_EXECUTE_PERIOD:5} # How often the data keeper executor runs periodically, unit is minute
recordDataTTL: ${SW_CORE_RECORD_DATA_TTL:3} # Unit is day
metricsDataTTL: ${SW_CORE_RECORD_DATA_TTL:7} # Unit is day