文件列表
apache-skywalking-apm-7.0.0.tar.gz：服务端文件
mysql-connector-java-5.1.30.jar：mysql jdbc驱动jar包
需要条件
Jdk1.8以上
mysql5.7以上
服务端部署
把文件上传到服务器上/root目录下
scp apache-skywalking-apm-7.0.0.tar.gz root@192.168.3.211:/root
进入到服务器端
cd /root
解压缩文件
tar -zxvf apache-skywalking-apm-7.0.0.tar.gz
把文件移到/opt/skywalking
mv apache-skywalking-apm-bin /opt/skywalking
修改配置文件
vi /opt/skywalking/config/application.yml
修改数据库类型：mysql
修改mysql jdbcUrl
修改mysql 用户名
修改mysql 密码
storage:
selector: ${SW_STORAGE:mysql}
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://192.168.3.211:3306/swtest"}
dataSource.user: ${SW_DATA_SOURCE_USER:root}
dataSource.password: ${SW_DATA_SOURCE_PASSWORD:123456}
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: ${SW_STORAGE_MYSQL_QUERY_MAX_SIZE:5000}
添加mysql jdbc jar包
把mysql-connector-java-5.1.30.jar复制到服务器/opt/skywalking/oap-libs/目录下
启动服务端
/opt/skywalking/bin/startup.sh
访问
客户端安装
复制文件
把/opt/skywalking/agent复制到应用服务器上/opt/agent
scp -r /opt/skywalking/agent /opt/agent
修改配置文件
vi agent/config/agent.config
1、把 Your_ApplicationName改为项目名字，例如quick
agent.service_name=${SW_AGENT_NAME:Your_ApplicationName}
2、把 127.0.0.1改为服务器的地址(安装服务器所在的ip),例如192.168.3.212
collector.backend_service=${SW_AGENT_COLLECTOR_BACKEND_SERVICES:127.0.0.1:11800}
启动
nohup java -javaagent:/opt/agent/skywalking-agent.jar -jar /opt/quick/back/top-quick-platform-0.0.1-SNAPSHOT.jar &
注意：需要写绝对路径/opt/agent/skywalking-agent.jar
查看数据
来源：oschina
链接：https://my.oschina.net/internetafei/blog/3236251
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