skywalking安装与使用
基于5.x版本编译,elasticsearch首先搭建完成,可以去看我的docker for elasticsearch微信公众号用户可以直接跳转到:https://www.jianshu.com/u/c5a69d112958参考文档https://github.com/apache/skywalking/blob/5.x/docs/README_ZH.md下载地址http://...
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基于5.x版本编译,elasticsearch首先搭建完成,可以去看我的docker for elasticsearch
微信公众号用户可以直接跳转到:https://www.jianshu.com/u/c5a69d112958
参考文档
https://github.com/apache/skywalking/blob/5.x/docs/README_ZH.md
下载地址
http://skywalking.apache.org/downloads/
解压
tar -xzf apache-skywalking-apm-incubating.tar.gz
配置
参考地址
- apache-skywalking-apm-incubating/config/application.yml
core:
default:
restHost: ${SW_CORE_REST_HOST:127.0.0.1}
restPort: ${SW_CORE_REST_PORT:12800}
restContextPath: ${SW_CORE_REST_CONTEXT_PATH:/}
gRPCHost: ${SW_CORE_GRPC_HOST:127.0.0.1}
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
storage: # 启用es
elasticsearch:
nameSpace: ${SW_NAMESPACE:skywalking}
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:127.0.0.1:9200}
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
# mysql:
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:
query:
graphql:
path: ${SW_QUERY_GRAPHQL_PATH:/graphql}
alarm:
default:
- /apache-skywalking-apm-incubating/webapp/webapp.yml
server:
port: 7810
collector:
path: /graphql
ribbon:
ReadTimeout: 10000
# Point to all backend's restHost:restPort, split by ,
listOfServers: 127.0.0.1:12800
security:
user:
# username
admin:
# password
password: admin
启动
# /apache-skywalking-apm-incubating/bin
./startup.sh
客户端使用
默认情况下skywalking会加载/apache-skywalking-apm-incubating/agent/config/agent.config文件,也可以手动指定
jvm
java -javaagent:/apache-skywalking-apm-incubating/agent/skywalking-agent.jar
-Dskywalking.agent.service_name=trace-api
-Dskywalking.collector.backend_service=localhost:11800
-jar xxxx.jar
javaagent
agent包路径skywalking.agent.service_name
服务名称skywalking.collector.backend_service
采集信息的服务地址 agent.config配置了就可以不用指定
agent.config配置
# The agent namespace
# agent.namespace=${SW_AGENT_NAMESPACE:default-namespace}
# The service name in UI
agent.service_name=${SW_AGENT_NAME:Your_ApplicationName}
# The number of sampled traces per 3 seconds
# Negative number means sample traces as many as possible, most likely 100%
# agent.sample_n_per_3_secs=${SW_AGENT_SAMPLE:-1}
# Authentication active is based on backend setting, see application.yml for more details.
# agent.authentication = ${SW_AGENT_AUTHENTICATION:xxxx}
# The max amount of spans in a single segment.
# Through this config item, skywalking keep your application memory cost estimated.
# agent.span_limit_per_segment=${SW_AGENT_SPAN_LIMIT:300}
# Ignore the segments if their operation names start 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 = ${SW_AGENT_OPEN_DEBUG:true}
# Backend service addresses.
collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:127.0.0.1:11800}
# Logging level
logging.level=${SW_LOGGING_LEVEL:DEBUG}
手动追踪
pom添加
<dependency>
<groupId>org.apache.skywalking</groupId>
<artifactId>apm-toolkit-trace</artifactId>
<version>${skywalking.version}</version>
</dependency>
java代码
@GetMapping
@Trace
public String rest(String msg) {
ActiveSpan.tag("args", "{msg:" + msg + "}");
return helloService.say(msg);
}
logback日志集成
pom添加
<dependency>
<groupId>org.apache.skywalking</groupId>
<artifactId>apm-toolkit-logback-1.x</artifactId>
<version>{project.release.version}</version>
</dependency>
logback-spring.xml配置
<appender name="STDOUT" 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>
默认情况下输出
TID: N/A
所以不用紧张
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