下載druid
下載地址
http://static.druid.io/artifacts/releases/druid-services-0.6.145-bin.tar.gz
解壓
tar -zxvf druid-services-*-bin.tar.gz
cd druid-services-*
外部依存關系
1.A "deep" storage，作為一個備份數據庫
2.mysql
設置mysql
mysql -u root
GRANT ALL ON druid.* TO 'druid'@'localhost' IDENTIFIED BY 'diurd';
CREATE database druid;
3.Apache Zookeeper
curl http://apache.osuosl.org/zookeeper/zookeeper-3.4.5/zookeeper-3.4.5.tar.gz -o zookeeper-3.4.5.tar.gz
tar xzf zookeeper-3.4.5.tar.gz
cd zookeeper-3.4.5
cp conf/zoo_sample.cfg conf/zoo.cfg
./bin/zkServer.sh start
cd ..
集群
啟動一些節點然后下載數據。首先你的保證在\config文件夾下面有這個幾個節點：
在配置好mysql 和zookeeper 后，還需要5步，druid集群服務就搭建成功了。啟動4個節點。
1：啟動coordinator 節點
Coordinator 節點負責druid 的負載均衡
配置文件
config/coordinator/runtime.properties
druid.host=localhost
druid.service=coordinator
druid.port=8082
druid.zk.service.host=localhost
druid.db.connector.connectURI=jdbc\:mysql\://localhost\:3306/druid
druid.db.connector.user=druid
druid.db.connector.password=diurd
druid.coordinator.startDelay=PT70s
啟動命令
java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath lib/*:config/coordinator io.druid.cli.Main server coordinator &
coordinator 啟動后會在durid數據庫中創建下面3個表：
2：啟動Historical 節點
historiacl 節點是集群的核心組成部分,負責加載數據,使它們可用於查詢
配置文件
druid.host=localhost
druid.service=historical
druid.port=8081
druid.zk.service.host=localhost
druid.extensions.coordinates=["io.druid.extensions:druid-s3-extensions:0.6.143"]
# Dummy read only AWS account (used to download example data)
druid.s3.secretKey=QyyfVZ7llSiRg6Qcrql1eEUG7buFpAK6T6engr1b
druid.s3.accessKey=AKIAIMKECRUYKDQGR6YQ
druid.server.maxSize=10000000000
# Change these to make Druid faster
druid.processing.buffer.sizeBytes=100000000
druid.processing.numThreads=1
druid.segmentCache.locations=[{"path": "/tmp/druid/indexCache", "maxSize"\: 10000000000}]
啟動命令
java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath lib/*:config/historical io.druid.cli.Main server historical &
3：啟動Broker節點
broker 負責從 historiacl 節點 和realtime 節點中查詢數據。
配置文件
druid.host=localhost
druid.service=broker
druid.port=8080
druid.zk.service.host=localhost
啟動命令
java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath lib/*:config/broker io.druid.cli.Main server broker &
4：load 數據
因為是做測試所以需要手動插入數據，在生產集群環境中，這些數據是自動保存到數據庫中的。
use druid;
INSERT INTO druid_segments (id, dataSource, created_date, start, end, partitioned, version, used, payload) VALUES ('wikipedia_2013-08-01T00:00:00.000Z_2013-08-02T00:00:00.000Z_2013-08-08T21:22:48.989Z', 'wikipedia', '2013-08-08T21:26:23.799Z', '2013-08-01T00:00:00.000Z', '2013-08-02T00:00:00.000Z', '0', '2013-08-08T21:22:48.989Z', '1', '{\"dataSource\":\"wikipedia\",\"interval\":\"2013-08-01T00:00:00.000Z/2013-08-02T00:00:00.000Z\",\"version\":\"2013-08-08T21:22:48.989Z\",\"loadSpec\":{\"type\":\"s3_zip\",\"bucket\":\"static.druid.io\",\"key\":\"data/segments/wikipedia/20130801T000000.000Z_20130802T000000.000Z/2013-08-08T21_22_48.989Z/0/index.zip\"},\"dimensions\":\"dma_code,continent_code,geo,area_code,robot,country_name,network,city,namespace,anonymous,unpatrolled,page,postal_code,language,newpage,user,region_lookup\",\"metrics\":\"count,delta,variation,added,deleted\",\"shardSpec\":{\"type\":\"none\"},\"binaryVersion\":9,\"size\":24664730,\"identifier\":\"wikipedia_2013-08-01T00:00:00.000Z_2013-08-02T00:00:00.000Z_2013-08-08T21:22:48.989Z\"}');
5：啟動realtime節點
配置文件
druid.host=localhost
druid.service=realtime
druid.port=8083
druid.zk.service.host=localhost
druid.extensions.coordinates=["io.druid.extensions:druid-examples:0.6.143","io.druid.extensions:druid-kafka-seven:0.6.143"]
# Change this config to db to hand off to the rest of the Druid cluster
druid.publish.type=noop
# These configs are only required for real hand off
# druid.db.connector.connectURI=jdbc\:mysql\://localhost\:3306/druid
# druid.db.connector.user=druid
# druid.db.connector.password=diurd
druid.processing.buffer.sizeBytes=100000000
druid.processing.numThreads=1
druid.monitoring.monitors=["io.druid.segment.realtime.RealtimeMetricsMonitor"]
啟動命令
java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Ddruid.realtime.specFile=examples/wikipedia/wikipedia_realtime.spec -classpath lib/*:config/realtime io.druid.cli.Main server realtime &
最后就可以查詢數據了。