安装ES
docker安装
略
安装AOP和ui
docker-compose.yml
version: '3.3'
services:
oap:
image: apache/skywalking-oap-server:7.0.0-es7
container_name: skywalking-oap
#restart: always
command: sleep 36000
ports:
- 11800:11800
- 12800:12800
environment:
SW_STORAGE: elasticsearch7
SW_ES_USER: elastic
SW_ES_PASSWORD: XXXX
SW_STORAGE_ES_CLUSTER_NODES: 192.168.1.XX:9200
SW_NAMESPACE: sz_skywalking_index
SW_STORAGE_ES_BULK_ACTIONS: 4000
SW_STORAGE_ES_FLUSH_INTERVAL: 30
SW_STORAGE_ES_CONCURRENT_REQUESTS: 4
SW_STORAGE_ES_QUERY_MAX_SIZE: 8000
SW_STORAGE_ES_RECORD_DATA_TTL: 3
SW_STORAGE_ES_OTHER_METRIC_DATA_TTL: 3
SW_STORAGE_ES_MONTH_METRIC_DATA_TTL: 1
volumes:
- ./application.yml:/skywalking/config/application.yml
ui:
image: apache/skywalking-ui:7.0.0
container_name: skywalking-ui
depends_on:
- oap
links:
- oap
ports:
- 8080:8080
environment:
SW_OAP_ADDRESS: oap:12800
application.yml
AOP的配置在/skywalking/config 目录下，
cluster:
selector: ${
SW_CLUSTER:standalone}
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:
watchTimeoutSeconds: ${
SW_CLUSTER_K8S_WATCH_TIMEOUT:60}
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:""}
nacos:
serviceName: ${
SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}
hostPort: ${
SW_CLUSTER_NACOS_HOST_PORT:localhost:8848}
# Nacos Configuration namespace
namespace: ${
SW_CLUSTER_NACOS_NAMESPACE:"public"}
etcd:
serviceName: ${
SW_SERVICE_NAME:"SkyWalking_OAP_Cluster"}
# etcd cluster nodes, example: 10.0.0.1:2379,10.0.0.2:2379,10.0.0.3:2379
hostPort: ${
SW_CLUSTER_ETCD_HOST_PORT:localhost:2379}
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: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
# Cache metric data for 1 minute to reduce database queries, and if the OAP cluster changes within that minute,
# the metrics may not be accurate within that minute.
enableDatabaseSession: ${
SW_CORE_ENABLE_DATABASE_SESSION:true}
topNReportPeriod: ${
SW_CORE_TOPN_REPORT_PERIOD:10} # top_n record worker report cycle, unit is minute
# Extra model column are the column defined by in the codes, These columns of model are not required logically in aggregation or further query,
# and it will cause more load for memory, network of OAP and storage.
# But, being activated, user could see the name in the storage entities, which make users easier to use 3rd party tool, such as Kibana->ES, to query the data by themselves.
activeExtraModelColumns: ${
SW_CORE_ACTIVE_EXTRA_MODEL_COLUMNS:false}
storage:
selector: ${
SW_STORAGE:h2}
elasticsearch:
nameSpace: ${
SW_NAMESPACE:""}
clusterNodes: ${
SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
protocol: ${
SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
trustStorePath: ${
SW_SW_STORAGE_ES_SSL_JKS_PATH:"../es_keystore.jks"}
trustStorePass: ${
SW_SW_STORAGE_ES_SSL_JKS_PASS:""}
user: ${
SW_ES_USER:""}
password: ${
SW_ES_PASSWORD:""}
secretsManagementFile: ${
SW_ES_SECRETS_MANAGEMENT_FILE:""} # Secrets management file in the properties format includes the username, password, which are managed by 3rd party tool.
enablePackedDownsampling: ${
SW_STORAGE_ENABLE_PACKED_DOWNSAMPLING:true} # Hour and Day metrics will be merged into minute index.
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:2}
indexReplicasNumber: ${
SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Those data TTL settings will override the same settings in core module.
recordDataTTL: ${
SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is day
otherMetricsDataTTL: ${
SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${
SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month
# 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:1000} # Execute the bulk every 1000 requests
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
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}
advanced: ${
SW_STORAGE_ES_ADVANCED:""}
elasticsearch7:
nameSpace: ${
SW_NAMESPACE:""}
clusterNodes: ${
SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
protocol: ${
SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
# trustStorePath: ${SW_SW_STORAGE_ES_SSL_JKS_PATH:"../es_keystore.jks"}
# trustStorePass: ${SW_SW_STORAGE_ES_SSL_JKS_PASS:""}
enablePackedDownsampling: ${
SW_STORAGE_ENABLE_PACKED_DOWNSAMPLING:true} # Hour and Day metrics will be merged into minute index.
dayStep: ${
SW_STORAGE_DAY_STEP:1} # Represent the number of days in the one minute/hour/day index.
user: ${
SW_ES_USER:""}
password: ${
SW_ES_PASSWORD:""}
secretsManagementFile: ${
SW_ES_SECRETS_MANAGEMENT_FILE:""} # Secrets management file in the properties format includes the username, password, which are managed by 3rd party tool.
indexShardsNumber: ${
SW_STORAGE_ES_INDEX_SHARDS_NUMBER:2}
indexReplicasNumber: ${
SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:0}
# Those data TTL settings will override the same settings in core module.
recordDataTTL: ${
SW_STORAGE_ES_RECORD_DATA_TTL:7} # Unit is day
otherMetricsDataTTL: ${
SW_STORAGE_ES_OTHER_METRIC_DATA_TTL:45} # Unit is day
monthMetricsDataTTL: ${
SW_STORAGE_ES_MONTH_METRIC_DATA_TTL:18} # Unit is month
# 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:1000} # Execute the bulk every 1000 requests
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
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}
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}
user: ${
SW_STORAGE_H2_USER:sa}
metadataQueryMaxSize: ${
SW_STORAGE_H2_QUERY_MAX_SIZE:5000}
mysql:
properties:
jdbcUrl: ${
SW_JDBC_URL:"jdbc:mysql://localhost:3306/swtest"}
dataSource.user: ${
SW_DATA_SOURCE_USER:root}
dataSource.password: ${
SW_DATA_SOURCE_PASSWORD:root@1234}
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}
influxdb:
# Metadata storage provider configuration
metabaseType: ${
SW_STORAGE_METABASE_TYPE:H2} # There are 2 options as Metabase provider, H2 or MySQL.
h2Props:
dataSourceClassName: ${
SW_STORAGE_METABASE_DRIVER:org.h2.jdbcx.JdbcDataSource}
dataSource.url: ${
SW_STORAGE_METABASE_URL:jdbc:h2:mem:skywalking-oap-db}
dataSource.user: ${
SW_STORAGE_METABASE_USER:sa}
dataSource.password: ${
SW_STORAGE_METABASE_PASSWORD:}
mysqlProps:
jdbcUrl: ${
SW_STORAGE_METABASE_URL:"jdbc:mysql://localhost:3306/swtest"}
dataSource.user: ${
SW_STORAGE_METABASE_USER:root}
dataSource.password: ${
SW_STORAGE_METABASE_PASSWORD:root@1234}
dataSource.cachePrepStmts: ${
SW_STORAGE_METABASE_CACHE_PREP_STMTS:true}
dataSource.prepStmtCacheSize: ${
SW_STORAGE_METABASE_PREP_STMT_CACHE_SQL_SIZE:250}
dataSource.prepStmtCacheSqlLimit: ${
SW_STORAGE_METABASE_PREP_STMT_CACHE_SQL_LIMIT:2048}
dataSource.useServerPrepStmts: ${
SW_STORAGE_METABASE_USE_SERVER_PREP_STMTS:true}
metadataQueryMaxSize: ${
SW_STORAGE_METABASE_QUERY_MAX_SIZE:5000}
# InfluxDB configuration
url: ${
SW_STORAGE_INFLUXDB_URL:http://localhost:8086}
user: ${
SW_STORAGE_INFLUXDB_USER:root}
password: ${
SW_STORAGE_INFLUXDB_PASSWORD:}
database: ${
SW_STORAGE_INFLUXDB_DATABASE:skywalking}
actions: ${
SW_STORAGE_INFLUXDB_ACTIONS:1000} # the number of actions to collect
duration: ${
SW_STORAGE_INFLUXDB_DURATION:1000} # the time to wait at most (milliseconds)
fetchTaskLogMaxSize: ${
SW_STORAGE_INFLUXDB_FETCH_TASK_LOG_MAX_SIZE:5000} # the max number of fetch task log in a request
receiver-sharing-server:
selector: ${
SW_RECEIVER_SHARING_SERVER:default}
default:
authentication: ${
SW_AUTHENTICATION:""}
receiver-register:
selector: ${
SW_RECEIVER_REGISTER:default}
default:
receiver-trace:
selector: ${
SW_RECEIVER_TRACE:default}
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.
slowDBAccessThreshold: ${
SW_SLOW_DB_THRESHOLD:default:200,mongodb:100} # The slow database access thresholds. Unit ms.
receiver-jvm:
selector: ${
SW_RECEIVER_JVM:default}
default:
receiver-clr:
selector: ${
SW_RECEIVER_CLR:default}
default:
receiver-profile:
selector: ${
SW_RECEIVER_PROFILE:default}
default:
service-mesh:
selector: ${
SW_SERVICE_MESH:default}
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:
selector: ${
SW_ISTIO_TELEMETRY:default}
default:
envoy-metric:
selector: ${
SW_ENVOY_METRIC:default}
default:
alsHTTPAnalysis: ${
SW_ENVOY_METRIC_ALS_HTTP_ANALYSIS:""}
receiver_zipkin:
selector: ${
SW_RECEIVER_ZIPKIN:-}
default:
host: ${
SW_RECEIVER_ZIPKIN_HOST:0.0.0.0}
port: ${
SW_RECEIVER_ZIPKIN_PORT:9411}
contextPath: ${
SW_RECEIVER_ZIPKIN_CONTEXT_PATH:/}
receiver_jaeger:
selector: ${
SW_RECEIVER_JAEGER:-}
default:
gRPCHost: ${
SW_RECEIVER_JAEGER_HOST:0.0.0.0}
gRPCPort: ${
SW_RECEIVER_JAEGER_PORT:14250}
query:
selector: ${
SW_QUERY:graphql}
graphql:
path: ${
SW_QUERY_GRAPHQL_PATH:/graphql}
alarm:
selector: ${
SW_ALARM:default}
default:
telemetry:
selector: ${
SW_TELEMETRY:none}
none:
prometheus:
host: ${
SW_TELEMETRY_PROMETHEUS_HOST:0.0.0.0}
port: ${
SW_TELEMETRY_PROMETHEUS_PORT:1234}
so11y:
prometheusExporterEnabled: ${
SW_TELEMETRY_SO11Y_PROMETHEUS_ENABLED:true}
prometheusExporterHost: ${
SW_TELEMETRY_PROMETHEUS_HOST:0.0.0.0}
prometheusExporterPort: ${
SW_TELEMETRY_PROMETHEUS_PORT:1234}
receiver-so11y:
selector: ${
SW_RECEIVER_SO11Y:-}
default:
configuration:
selector: ${
SW_CONFIGURATION:none}
none:
apollo:
apolloMeta: http://106.12.25.204:8080
apolloCluster: default
apolloEnv: ""
appId: skywalking
period: 5
nacos:
# Nacos Server Host
serverAddr: 127.0.0.1
# Nacos Server Port
port: 8848
# Nacos Configuration Group
group: 'skywalking'
# Nacos Configuration namespace
namespace: ''
# Unit seconds, sync period. Default fetch every 60 seconds.
period : 60
# the name of current cluster, set the name if you want to upstream system known.
clusterName: "default"
zookeeper:
period : 60 # Unit seconds, sync period. Default fetch every 60 seconds.
nameSpace: /default
hostPort: localhost:2181
# Retry Policy
baseSleepTimeMs: 1000 # initial amount of time to wait between retries
maxRetries: 3 # max number of times to retry
etcd:
period : 60 # Unit seconds, sync period. Default fetch every 60 seconds.
group : 'skywalking'
serverAddr: localhost:2379
clusterName: "default"
consul:
# Consul host and ports, separated by comma, e.g. 1.2.3.4:8500,2.3.4.5:8500
hostAndPorts: ${
consul.address}
# Sync period in seconds. Defaults to 60 seconds.
period: 1
# Consul aclToken
#aclToken: ${consul.aclToken}
exporter:
selector: ${
SW_EXPORTER:-}
grpc:
targetHost: ${
SW_EXPORTER_GRPC_HOST:127.0.0.1}
targetPort: ${
SW_EXPORTER_GRPC_PORT:9870}
配置说明
配置主要包括以下几部分：
1、集群控制
- standalone （默认值）
- zookeeper
- kubernetes
- consul
- nacos
- etcd
2、core
3、存储
- elasticsearch
- elasticsearch7
- h2 （默认值）
- mysql
- influxdb
4、receiver
5、配置
- none （默认值）
- apollo
- nacos
- zookeeper
- etcd
- consul
集群安装
服务器上安装agent
使用agent探针 需要把 apache-skywalking-apm-bin/agent 拷贝到服务运行服务器中。
目录结构如下：
.
├── activations
│ ├── apm-toolkit-log4j-1.x-activation-6.6.0.jar
│ ├── apm-toolkit-log4j-2.x-activation-6.6.0.jar
│ ├── apm-toolkit-logback-1.x-activation-6.6.0.jar
│ ├── apm-toolkit-opentracing-activation-6.6.0.jar
│ └── apm-toolkit-trace-activation-6.6.0.jar
├── bootstrap-plugins
│ ├── apm-jdk-http-plugin-6.6.0.jar
│ └── apm-jdk-threading-plugin-6.6.0.jar
├── config
│ └── agent.config #agent使用的配置文件
├── logs
├── optional-plugins #可选的插件。
│ ├── apm-armeria-0.85.x-plugin-6.6.0.jar
│ ├── apm-customize-enhance-plugin-6.6.0.jar
│ ├── apm-gson-2.x-plugin-6.6.0.jar
│ ├── apm-lettuce-5.x-plugin-6.6.0.jar
│ ├── apm-play-2.x-plugin-6.6.0.jar
│ ├── apm-spring-annotation-plugin-6.6.0.jar
│ ├── apm-spring-cloud-gateway-2.x-plugin-6.6.0.jar
│ ├── apm-spring-tx-plugin-6.6.0.jar
│ ├── apm-spring-webflux-5.x-plugin-6.6.0.jar
│ ├── apm-trace-ignore-plugin-6.6.0.jar
│ └── apm-zookeeper-3.4.x-plugin-6.6.0.jar
├── plugins #
│ ├── apm-activemq-5.x-plugin-6.6.0.jar
│ ├── ... ...
│ └── tomcat-7.x-8.x-plugin-6.6.0.jar
└── skywalking-agent.jar
有些插件会对性能有影响在 /optional-plugins文件夹下，想要使用的话，复制到/plugins文件夹下。
agent.config
# The agent namespace
# agent.namespace=${SW_AGENT_NAMESPACE:default-namespace}
# The service name in UI
agent.service_name=${SW_AGENT_NAME:Your_ApplicationName}
# 每3秒钟采样条数。-1表示100%
# agent.sample_n_per_3_secs=${SW_AGENT_SAMPLE:-1}
# Authentication active is based on backend setting, see application.yml for more details.
# agent.authentication = ${SW_AGENT_AUTHENTICATION:xxxx}
# 一条segment中最大spans数，可以评估应用内存使用。
# agent.span_limit_per_segment=${SW_AGENT_SPAN_LIMIT:300}
# Ignore the segments if their operation names end with these suffix.
# agent.ignore_suffix=${SW_AGENT_IGNORE_SUFFIX:.jpg,.jpeg,.js,.css,.png,.bmp,.gif,.ico,.mp3,.mp4,.html,.svg}
# If true, SkyWalking agent will save all instrumented classes files in `/debugging` folder.
# SkyWalking team may ask for these files in order to resolve compatible problem.
# agent.is_open_debugging_class = ${SW_AGENT_OPEN_DEBUG:true}
# The operationName max length
# agent.operation_name_threshold=${SW_AGENT_OPERATION_NAME_THRESHOLD:500}
# Backend service addresses.
collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:127.0.0.1:11800}
# Logging file_name
logging.file_name=${SW_LOGGING_FILE_NAME:skywalking-api.log}
# Logging level
logging.level=${SW_LOGGING_LEVEL:DEBUG}
# Logging dir
# logging.dir=${SW_LOGGING_DIR:""}
# Logging max_file_size, default: 300 * 1024 * 1024 = 314572800
# logging.max_file_size=${SW_LOGGING_MAX_FILE_SIZE:314572800}
# The max history log files. When rollover happened, if log files exceed this number,
# then the oldest file will be delete. Negative or zero means off, by default.
# logging.max_history_files=${SW_LOGGING_MAX_HISTORY_FILES:-1}
# mysql plugin configuration
# plugin.mysql.trace_sql_parameters=${SW_MYSQL_TRACE_SQL_PARAMETERS:false}
使用agent
服务器运行
# SkyWalking Agent 配置
export SW_AGENT_NAME=demo-application # 配置 Agent 名字。一般来说，我们直接使用 Spring Boot 项目的 `spring.application.name` 。
export SW_AGENT_COLLECTOR_BACKEND_SERVICES=127.0.0.1:11800 # 配置 Collector 地址。
export SW_AGENT_SPAN_LIMIT=2000 # 配置链路的最大 Span 数量。一般情况下，不需要配置，默认为 300 。主要考虑，有些新上 SkyWalking Agent 的项目，代码可能比较糟糕。
export JAVA_AGENT=-javaagent:/Users/yunai/skywalking/apache-skywalking-apm-bin-es7/agent/skywalking-agent.jar # SkyWalking Agent jar 地址。
# Jar 启动
java -jar $JAVA_AGENT -jar lab-39-demo-2.2.2.RELEASE.jar
docker运行
通过环境变量设置（当然要匹配配置文件变量和 java 启动运行命令）
environment:
- SW_AGENT_NAME=XXXXXX
- SW_AGENT_COLLECTOR_BACKEND_SERVICES=192.168.1.xxx:11800
- TRACK=-javaagent:/opt/skywalking-agent.jar
- JAVA_OPTS=-Xms256m -Xmx512m -XX:SurvivorRatio=8 -XX:+UseConcMarkSweepGC
idea开发
