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