Win10环境借助DockerDesktop部署最新版大数据时序数据库Apache Druid32.0.0
前言
大数据分析中，有一种常见的场景，那就是时序数据，简言之，数据一旦产生绝对不会修改，随着时间流逝，每个时间点都会有个新的状态值。这种时序数据的量级往往异常夸张，例如传感器的原始监控数据：
https://lizhiyong.blog.csdn.net/article/details/114898620
一个简单的加速度传感器一年的数据量就是31e！！！制造业传感器数据如果不经底层PLC等下位机预处理，直接打到边缘计算网关，即使mqtt也会有巨大的负载！！！
类似的，还有服务器的原始监控数据，例如常见的Prometheus和Zabbix，当集群很多时，监控项同样很多，再算上虚拟化后的容器和虚拟机内都可能部署了监控，此时的数据量级就灰常可观！！！一小时几百亿条数据都是常见的事情！！！
但是很多原始的监控数据如果全部存下来，存储成本高的可怕，同时信息密度极低，更多时候我们可能只关注近期的全部热数据来做在线的模型训练，人工查看每秒钟几千条数据也是不切合实际的，事实上，做一个简单的秒级/分钟级统计就能满足大多数的分析场景，超过1天的冷数据其实已经没什么时效性。
对于此类场景，可以高吞吐、预聚合的数据库，在压测后，从Apache Druid、Clickhouse、Kylin中，选择了前者。。。专业的事情要交给专业的组件去做！！！
对于非内核和二开的业务开发人员，更多场景应该关注的是API、特性及用法，不应该在部署这种事情上花费太多精力！！！笔者之前已部署了Docker Desktop：
https://lizhiyong.blog.csdn.net/article/details/145580868
今天在Win10环境再搭建个Apache Druid最新版玩玩。
版本选择
官网：
https://druid.apache.org/
注意不是阿里数据库连接池的那个Druid！！！
截至2025-02-13，Apache Druid最新版本是32.0.0。
资源准备
参考官网：
https://druid.apache.org/docs/latest/tutorials/docker
官方给出了使用docker-compose.yml编排容器的教程，作为一个实时组件，大内存是必须的！！！但是启动8个容器【Zookeeper+PostgreSQL+6个Druid】每个最多7GB内存也不是什么大事！！！
https://raw.githubusercontent.com/apache/druid/32.0.0/distribution/docker/docker-compose.yml
获取到这个资源文件：
version: "2.2"volumes:metadata_data: {}middle_var: {}historical_var: {}broker_var: {}coordinator_var: {}router_var: {}druid_shared: {}services:postgres:container_name: postgresimage: postgres:latestports:- "5432:5432"volumes:- metadata_data:/var/lib/postgresql/dataenvironment:- POSTGRES_PASSWORD=FoolishPassword- POSTGRES_USER=druid- POSTGRES_DB=druid# Need 3.5 or later for container nodeszookeeper:container_name: zookeeperimage: zookeeper:3.5.10ports:- "2181:2181"environment:- ZOO_MY_ID=1coordinator:image: apache/druid:32.0.0container_name: coordinatorvolumes:- druid_shared:/opt/shared- coordinator_var:/opt/druid/vardepends_on:- zookeeper- postgresports:- "8081:8081"command:- coordinatorenv_file:- environmentbroker:image: apache/druid:32.0.0container_name: brokervolumes:- broker_var:/opt/druid/vardepends_on:- zookeeper- postgres- coordinatorports:- "8082:8082"command:- brokerenv_file:- environmenthistorical:image: apache/druid:32.0.0container_name: historicalvolumes:- druid_shared:/opt/shared- historical_var:/opt/druid/vardepends_on: - zookeeper- postgres- coordinatorports:- "8083:8083"command:- historicalenv_file:- environmentmiddlemanager:image: apache/druid:32.0.0container_name: middlemanagervolumes:- druid_shared:/opt/shared- middle_var:/opt/druid/vardepends_on: - zookeeper- postgres- coordinatorports:- "8091:8091"- "8100-8105:8100-8105"command:- middleManagerenv_file:- environmentrouter:image: apache/druid:32.0.0container_name: routervolumes:- router_var:/opt/druid/vardepends_on:- zookeeper- postgres- coordinatorports:- "3012:8888" #这里笔者改为3012防止霸占有用的端口command:- routerenv_file:- environment
参照官网另一篇：
https://druid.apache.org/docs/latest/configuration/
自己玩玩可以先不改这些运行时配置，容器启动的，后续要重新部署也非常容易！！！
还需要：
https://raw.githubusercontent.com/apache/druid/32.0.0/distribution/docker/environment
做另一个配置文件：
# Java tuning
#DRUID_XMX=1g
#DRUID_XMS=1g
#DRUID_MAXNEWSIZE=250m
#DRUID_NEWSIZE=250m
#DRUID_MAXDIRECTMEMORYSIZE=6172m
DRUID_SINGLE_NODE_CONF=micro-quickstartdruid_emitter_logging_logLevel=debugdruid_extensions_loadList=["druid-histogram", "druid-datasketches", "druid-lookups-cached-global", "postgresql-metadata-storage", "druid-multi-stage-query"]druid_zk_service_host=zookeeperdruid_metadata_storage_host=
druid_metadata_storage_type=postgresql
druid_metadata_storage_connector_connectURI=jdbc:postgresql://postgres:5432/druid
druid_metadata_storage_connector_user=druid
druid_metadata_storage_connector_password=FoolishPassworddruid_indexer_runner_javaOptsArray=["-server", "-Xmx1g", "-Xms1g", "-XX:MaxDirectMemorySize=3g", "-Duser.timezone=UTC", "-Dfile.encoding=UTF-8", "-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager"]
druid_indexer_fork_property_druid_processing_buffer_sizeBytes=256MiBdruid_storage_type=local
druid_storage_storageDirectory=/opt/shared/segments
druid_indexer_logs_type=file
druid_indexer_logs_directory=/opt/shared/indexing-logsdruid_processing_numThreads=2
druid_processing_numMergeBuffers=2DRUID_LOG4J=<?xml version="1.0" encoding="UTF-8" ?><Configuration status="WARN"><Appenders><Console name="Console" target="SYSTEM_OUT"><PatternLayout pattern="%d{ISO8601} %p [%t] %c - %m%n"/></Console></Appenders><Loggers><Root level="info"><AppenderRef ref="Console"/></Root><Logger name="org.apache.druid.jetty.RequestLog" additivity="false" level="DEBUG"><AppenderRef ref="Console"/></Logger></Loggers></Configuration>
部署文件看起来麻雀虽小五脏俱全！！！
部署
PS C:\Users\zhiyong> cd E:\dockerData\volume\druid1
PS E:\dockerData\volume\druid1> ls目录: E:\dockerData\volume\druid1Mode LastWriteTime Length Name
---- ------------- ------ ----
-a---- 2025-02-13 23:26 2980 docker-compose.yml
-a---- 2025-02-13 23:33 1576 environment
PS E:\dockerData\volume\druid1> docker compose up -d
time="2025-02-13T23:34:39+08:00" level=warning msg="E:\\dockerData\\volume\\druid1\\docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion"
[+] Running 72/15✔ router Pulled 230.7s ✔ coordinator Pulled 230.7s ✔ postgres Pulled 181.0s ✔ historical Pulled 230.7s ✔ broker Pulled 230.7s ✔ middlemanager Pulled 230.7s ✔ zookeeper Pulled 85.7s [+] Running 15/15✔ Network druid1_default Created 0.1s ✔ Volume "druid1_druid_shared" Created 0.0s ✔ Volume "druid1_historical_var" Created 0.0s ✔ Volume "druid1_middle_var" Created 0.0s ✔ Volume "druid1_router_var" Created 0.0s ✔ Volume "druid1_metadata_data" Created 0.0s ✔ Volume "druid1_coordinator_var" Created 0.0s ✔ Volume "druid1_broker_var" Created 0.0s ✔ Container postgres Started 2.4s ✔ Container zookeeper Started 2.4s ✔ Container coordinator Started 1.6s ✔ Container router Started 2.5s ✔ Container broker Started 2.3s ✔ Container historical Started 2.5s ✔ Container middlemanager Started 2.8s
PS E:\dockerData\volume\druid1>
拉取镜像成功后很快就能拉起容器：
好家伙。。。还顺便把其它组件的端口也给暴露出来了。。。
于是还**白piao**到一个PG和Zookeeper！！！
验证
http://localhost:3012/unified-console.html#
灰常好，现在已经拥有了一个最新Apache Druid32.0.0！！！
转载请注明出处：https://lizhiyong.blog.csdn.net/article/details/145622903
