Docker 插件部署继续，这里是docker 部署 skywalking链路追踪。它提供了对分布式系统的追踪、监控和诊断能力。
skyWalking存在多种数据存储：
1) h2（默认的存储方式，重启后数据会丢失）
2) Elasticsearch （最常用的数据存储方式）
3) MySQL
4) TiDB
我这里使用elasticsearch来存储数据，关于elasticsearch的部署请移步《docker（十五）docker-compose部署elasticsearch配置账号密码登录》
一：下载skywalking源码包
下载地址：archive.apache.org/dist/skywal…
选择下载你使用的版本。我这里下载的是8.9.0
主要是使用这个application.yml文件，从这个文件中我们可以获取对应参数的设置名称。
我这里使用elasticsearch来存储数据，我这里只展示application.yml中elasticsearch配置部分：
storage:
selector: ${SW_STORAGE:h2}
elasticsearch:
namespace: ${SW_NAMESPACE:""}
clusterNodes: ${SW_STORAGE_ES_CLUSTER_NODES:localhost:9200}
protocol: ${SW_STORAGE_ES_HTTP_PROTOCOL:"http"}
connectTimeout: ${SW_STORAGE_ES_CONNECT_TIMEOUT:500}
socketTimeout: ${SW_STORAGE_ES_SOCKET_TIMEOUT:30000}
numHttpClientThread: ${SW_STORAGE_ES_NUM_HTTP_CLIENT_THREAD:0}
user: ${SW_ES_USER:""}
password: ${SW_ES_PASSWORD:""}
trustStorePath: ${SW_STORAGE_ES_SSL_JKS_PATH:""}
trustStorePass: ${SW_STORAGE_ES_SSL_JKS_PASS:""}
secretsManagementFile: ${SW_ES_SECRETS_MANAGEMENT_FILE:""} # Secrets management file in the properties format includes the username, password, which are managed by 3rd party tool.
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:1} # Shard number of new indexes
indexReplicasNumber: ${SW_STORAGE_ES_INDEX_REPLICAS_NUMBER:1} # Replicas number of new indexes
# Super data set has been defined in the codes, such as trace segments.The following 3 config would be improve es performance when storage super size data in es.
superDatasetDayStep: ${SW_SUPERDATASET_STORAGE_DAY_STEP:-1} # Represent the number of days in the super size dataset record index, the default value is the same as dayStep when the value is less than 0
superDatasetIndexShardsFactor: ${SW_STORAGE_ES_SUPER_DATASET_INDEX_SHARDS_FACTOR:5} # This factor provides more shards for the super data set, shards number = indexShardsNumber * superDatasetIndexShardsFactor. Also, this factor effects Zipkin and Jaeger traces.
superDatasetIndexReplicasNumber: ${SW_STORAGE_ES_SUPER_DATASET_INDEX_REPLICAS_NUMBER:0} # Represent the replicas number in the super size dataset record index, the default value is 0.
indexTemplateOrder: ${SW_STORAGE_ES_INDEX_TEMPLATE_ORDER:0} # the order of index template
bulkActions: ${SW_STORAGE_ES_BULK_ACTIONS:5000} # Execute the async bulk record data every ${SW_STORAGE_ES_BULK_ACTIONS} requests
# flush the bulk every 10 seconds whatever the number of requests
# INT(flushInterval * 2/3) would be used for index refresh period.
flushInterval: ${SW_STORAGE_ES_FLUSH_INTERVAL:15}
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}
oapAnalyzer: ${SW_STORAGE_ES_OAP_ANALYZER:"{"analyzer":{"oap_analyzer":{"type":"stop"}}}"} # the oap analyzer.
oapLogAnalyzer: ${SW_STORAGE_ES_OAP_LOG_ANALYZER:"{"analyzer":{"oap_log_analyzer":{"type":"standard"}}}"} # the oap log analyzer. It could be customized by the ES analyzer configuration to support more language log formats, such as Chinese log, Japanese log and etc.
advanced: ${SW_STORAGE_ES_ADVANCED:""}
这里主要是知道参数名
二：docker-compose部署skywalking
docker-compose.yml
version: '3.8'
services:
oap-server:
image: apache/skywalking-oap-server:8.9.0
# image: docker.io/apache/skywalking-oap-server:9.4.0
container_name: oap-server
ports:
- "11800:11800"
- "12800:12800"
environment:
# 配置数据库存储（我这里没有在github找到mysql对应的表）
# - SW_STORAGE=mysql
# - SW_JDBC_URL=jdbc:mysql://127.0.0.1:3306/skywalking?useSSL=false
# - SW_DATA_SOURCE_USER=root
# - SW_DATA_SOURCE_PASSWORD=xxxxxxxxxxx
# 配置elasticsearch存储
# skywalking 8.8之前不能自动感知存储源是什么，需要手动指定是es6还是7；
# 8.8之后可以自动感知存储源的版本，不需要手动指定es6还是7，直接写es即可；
- SW_STORAGE=elasticsearch
- SW_STORAGE_ES_CLUSTER_NODES=127.0.0.1:9200
- SW_ES_USER=elastic
- SW_ES_PASSWORD=xxxxxxxx
- SW_CORE_RECORD_DATA_TTL=15
- SW_CORE_METRICS_DATA_TTL=15
- SW_ENABLE_UPDATE_UI_TEMPLATE=true
- TZ=Asia/Shanghai
# 健康检查，他不健康，我就不检查了~
# healthcheck:
# test: ["CMD", "curl", "-f", "http://localhost:12800/health_check"]
# interval: 30s
# timeout: 10s
# retries: 3
restart: on-failure
ui:
image: apache/skywalking-ui:8.9.0
# image: docker.io/apache/skywalking-ui:9.4.0
container_name: skywalking-ui
depends_on:
- oap-server
links:
- oap-server
ports:
- "8888:8080"
environment:
SW_OAP_ADDRESS: http://oap-server:12800
# SW_ZIPKIN_ADDRESS: http://oap-server:9412
# 健康检查
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/health_check"]
interval: 30s
timeout: 10s
retries: 3
restart: on-failure
运行docker-compose命令：
docker compose up -d
如果你修改了docker-compose.yml对应的参数之后，使用如下命令即可重启而不用删除已存在的容器：
docker compose up --force-recreate -d
需要将上方中的127.0.0.1换成你对应的ip。
在这个配置中，我们定义了两个服务：oap-server和skywalking-ui。oap-server服务是SkyWalking的核心服务器，负责处理数据收集和分析。skywalking-ui服务是SkyWalking的Web界面，它提供对监控数据的可视化。
可以通过访问http://localhost:8888来访问SkyWalking UI，并开始监控你的分布式系统。如下图所示：
三：报错
我这里先安装的是8.9版本，之后，又尝试安装9.4版本。安装9.4版本之后启动报错：
{
"error": {
"root_cause": [
{
"type": "illegal_argument_exception",
"reason": "composable template [sw_zipkin_span] template after composition is invalid"
}
],
"type": "illegal_argument_exception",
"reason": "composable template [sw_zipkin_span] template after composition is invalid",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "invalid composite mappings for [sw_zipkin_span]",
"caused_by": {
"type": "mapper_parsing_exception",
"reason": "Failed to parse mapping [_doc]: analyzer [oap_analyzer] has not been configured in mappings",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "analyzer [oap_analyzer] has not been configured in mappings"
}
}
}
},
"status": 400
}
这个报错在官方issue中找到解答，由于挂载的es目录为原来8.9.0版本生成及采集的数据，导致es初始化数据失败，需要删除原目录数据 /home/elasticsearch/data 或者重新指定文件目录即可。
到这里，docker-compose部署skywalking就可以运行了。
有好的建议，请在下方输入你的评论。
