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druid.io本地集群搭建 / 扩展集群搭建

druid.io 是一个比较重型的数据库查询系统，分为5种节点 。

在此就不对数据库进行介绍了，如果有疑问请参考白皮书：

http://pan.baidu.com/s/1eSFlIJS  

单台机器的集群搭建

首先说一下通用的集群搭建，基于 0.9.1.1

下载地址  http://pan.baidu.com/s/1hrJBjlq:

修改 conf/druid/_common 内的 common.runtime.properties，参考如下配置：

  1. #
  2. # Licensed to Metamarkets Group Inc. (Metamarkets) under one
  3. # or more contributor license agreements. See the NOTICE file
  4. # distributed with this work for additional information
  5. # regarding copyright ownership. Metamarkets licenses this file
  6. # to you under the Apache License, Version 2.0 (the
  7. # "License"); you may not use this file except in compliance
  8. # with the License. You may obtain a copy of the License at
  10. # http://www.apache.org/licenses/LICENSE-2.0
  12. # Unless required by applicable law or agreed to in writing,
  13. # software distributed under the License is distributed on an
  14. # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  15. # KIND, either express or implied. See the License for the
  16. # specific language governing permissions and limitations
  17. # under the License.
  20. # Extensions
  22. # This is not the full list of Druid extensions, but common ones that people often use. You may need to change this list
  23. # based on your particular setup.
  24. #druid.extensions.loadList=["druid-kafka-eight", "druid-s3-extensions", "druid-histogram", "druid-datasketches", "druid-lookups-cached-global", "mysql-metadata-storage"]
  25. druid.extensions.loadList=["mysql-metadata-storage"]
  26. # If you have a different version of Hadoop, place your Hadoop client jar files in your hadoop-dependencies directory
  27. # and uncomment the line below to point to your directory.
  28. #druid.extensions.hadoopDependenciesDir=/my/dir/hadoop-dependencies
  30. # Logging
  32. # Log all runtime properties on startup. Disable to avoid logging properties on startup:
  33. druid.startup.logging.logProperties=true
  35. # Zookeeper
  37. druid.zk.service.host=10.202.4.22:2181
  38. druid.zk.paths.base=/druid
  40. # Metadata storage
  42. # For Derby server on your Druid Coordinator (only viable in a cluster with a single Coordinator, no fail-over):
  43. #druid.metadata.storage.type=derby
  44. #druid.metadata.storage.connector.connectURI=jdbc:derby://metadata.store.ip:1527/var/druid/metadata.db;create=true
  45. #druid.metadata.storage.connector.host=metadata.store.ip
  46. #druid.metadata.storage.connector.port=1527
  47. # For MySQL:
  48. druid.metadata.storage.type=mysql
  49. druid.metadata.storage.connector.connectURI=jdbc:mysql://10.202.4.22:3306/druid?characterEncoding=UTF-8
  50. druid.metadata.storage.connector.user=szh
  51. druid.metadata.storage.connector.password=123456
  52. # For PostgreSQL (make sure to additionally include the Postgres extension):
  53. #druid.metadata.storage.type=postgresql
  54. #druid.metadata.storage.connector.connectURI=jdbc:postgresql://db.example.com:5432/druid
  55. #druid.metadata.storage.connector.user=...
  56. #druid.metadata.storage.connector.password=...
  58. # Deep storage
  60. # For local disk (only viable in a cluster if this is a network mount):
  61. druid.storage.type=local
  62. druid.storage.storageDirectory=var/druid/segments
  63. # For HDFS (make sure to include the HDFS extension and that your Hadoop config files in the cp):
  64. #druid.storage.type=hdfs
  65. #druid.storage.storageDirectory=/druid/segments
  66. # For S3:
  67. #druid.storage.type=s3
  68. #druid.storage.bucket=your-bucket
  69. #druid.storage.baseKey=druid/segments
  70. #druid.s3.accessKey=...
  71. #druid.s3.secretKey=...
  73. # Indexing service logs
  76. druid.indexer.logs.type=file
  77. druid.indexer.logs.directory=var/druid/indexing-logs
  79. #druid.indexer.logs.type=hdfs
  80. #druid.indexer.logs.directory=/druid/indexing-logs
  82. #druid.indexer.logs.type=s3
  83. #druid.indexer.logs.s3Bucket=your-bucket
  84. #druid.indexer.logs.s3Prefix=druid/indexing-logs
  86. # Service discovery
  88. druid.selectors.indexing.serviceName=druid/overlord
  89. druid.selectors.coordinator.serviceName=druid/coordinator
  91. # Monitoring
  93. druid.monitoring.monitors=["com.metamx.metrics.JvmMonitor"]
  94. druid.emitter=logging
  95. druid.emitter.logging.logLevel=info

0.9.1.1 默认是不带mysql 扩展的需要自己下载，解压后放置于extensions 下：

参考文章：

http://druid.io/docs/0.9.1.1/operations/including-extensions.html

扩展包的下载地址

http://druid.io/downloads.html

分别修改5个节点的启动配置

/conf/druid/${serviceName}/runtime.properties

broker节点：

/conf/druid/broker/runtime.properties

  1. druid.host=10.202.4.22:9102
  2. druid.service=druid/broker
  3. druid.port=9102
  4. # HTTP server threads
  5. druid.broker.http.numConnections=5
  6. druid.server.http.numThreads=25
  7. # Processing threads and buffers
  8. druid.processing.buffer.sizeBytes=32768
  9. druid.processing.numThreads=2
  10. # Query cache
  11. druid.broker.cache.useCache=true
  12. druid.broker.cache.populateCache=true
  13. druid.cache.type=local
  14. druid.cache.sizeInBytes=2000000000

coordinator 节点：

/conf/druid/coordinator/runtime.properties

druid.host=10.202.4.22:8082
druid.service=druid/coordinator
druid.port=8082

historical 节点：

/conf/druid/historical/runtime.properties

  1. druid.service=druid/historical
  2. druid.host=10.202.4.22:9002
  3. druid.port=9002
  7. druid.processing.buffer.sizeBytes=6870912
  8. druid.processing.numThreads=7
  9. druid.historical.cache.useCache=false
  10. druid.historical.cache.populateCache=false
  11. # Segment storage
  12. druid.segmentCache.locations=[{"path":"var/druid/segment-cache","maxSize"\:13000000}]
  13. druid.server.maxSize=13000000

middleManager 节点：

/conf/druid/middleManager/runtime.properties

  1. druid.host=10.202.4.22:8091
  2. druid.service=druid/middleManager
  3. druid.port=8091
  4. # Number of tasks per middleManager
  5. druid.worker.capacity=3
  6. # Task launch parameters
  7. druid.indexer.runner.javaOpts=-server -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
  8. druid.indexer.task.baseTaskDir=var/druid/task
  12. druid.processing.buffer.sizeBytes=65536
  14. # Hadoop indexing
  15. druid.indexer.task.hadoopWorkingPath=var/druid/hadoop-tmp
  16. druid.indexer.task.defaultHadoopCoordinates=["org.apache.hadoop:hadoop-client:2.3.0"]

overlord 节点：

/conf/druid/overlord/runtime.properties

  1. druid.service=druid/overlord
  2. druid.host=10.202.4.22:9100
  3. druid.port=9100
  4. #druid.indexer.queue.startDelay=PT30S
  5. druid.indexer.runner.type=remote
  6. druid.indexer.storage.type=metadata

启动集群启动  可以利用我写的脚本：

  1. #java `cat conf/druid/broker/jvm.config | xargs` -cp conf/druid/_common:conf/druid/broker:lib/* io.druid.cli.Main server broker
  2. function help(){
  3. echo "参数列表"
  4. echo " 参数1 参数2"
  5. echo " serviceName [-f]"
  6. echo "参数1：serviceName: 启动服务的名字"
  7. echo "serviceName可选项:"
  8. echo "1: broker"
  9. echo "2: coordinator"
  10. echo "3: historical"
  11. echo "4: middleManager"
  12. echo "5: overlord"
  13. echo "参数2：[-f]: 是否前台启动"
  14. echo "-f:前台启动，(不加)默认后台启动"
  15. }
  16. function startService(){
  17. # echo $0
  18. # echo $1
  19. # echo $2
  20. echo $service
  21. if [[ $2 == "-f" ]]; then
  22. echo "前台启动"
  23. java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath conf/druid/_common:conf/druid/$service:lib/* io.druid.cli.Main server $service
  24. else
  25. echo "后台启动"
  26. nohup java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath conf/druid/_common:conf/druid/$service:lib/* io.druid.cli.Main server $service &
  27. fi;
  29. function tips(){
  30. red=`tput setaf 1`
  31. reset=`tput sgr0`
  32. echo "${red}Not correct arguments${reset}"
  33. echo "please use --help or -h for help"
  35. if [[ $1 == "--help" || $1 == "-h" ]]; then
  36. help
  37. exit
  38. fi
  39. service=$1
  40. case $service in
  41. "broker")
  42. ;;
  43. "coordinator")
  45. "historical")
  47. "middleManager")
  49. "overlord")
  51. *)
  52. tips
  54. esac
  55. if [[ $2 == "-f" || $2 == "" ]]; then
  56. startService $1 $2;
  57. else

将上述脚本放到 druid的根目录即可：

启动效果如图：

多台机器的集群搭建：

上面是单台机器的集群搭建， 扩展到多台

只需要修改 conf/druid/(broker | coordinator | historical | middleManager | overlord) 的 runtime.properties 中的 

druid.host=10.202.4.22:9102 改成其他机器的IP地址即可

=========================================================

最后共享下我成功搭建的本地集群 (内含个人写的集群启动脚本)：

http://pan.baidu.com/s/1bJjFzg

基于版本 0.9.1.1,  元数据存储用的mysql （扩展包已经下载好了）

下载并解压 我搭建的druid.tgz 的druid本地集群后：

1.修改各个配置文件

conf/druid/broker/runtime.properties 

conf/druid/coordinator/runtime.properties 

conf/druid/historical/runtime.properties 

conf/druid/middleManager/runtime.properties 

conf/druid/overlord/runtime.properties 

druid.host=10.202.4.22:9102 改成自己的IP地址

2.修改 conf/druid/_common/common.runtime.properties  中的mysql端口地址, 用户名,密码, zookeeper地址等 替换为自己的地址。

Tips:mysql 没有创建库druid 要自己先创建（安装mysql数据库，并创建druid数据库和druid用户）

3.用根目录下的 cluster_start_service.sh 启动5个节点的服务

   这时进入mysql数据库 会发现druid自动创建了几张表

4.进行测试

（1）数据导入

（2）数据查询

切换到 test 目录，下面有两个文件夹：

（1）数据导入：

切换到 test_load 的目录下

下面的 submit_csv_task.sh , submit_json_task.sh 分别是提交 csv 数据 与 json 数据的测试脚本

这里需要修改 env.sh

设置 overlord_ip 为自己的 overlord_ip 的 地址端口

这里试下执行 submit_json_task.sh 脚本，去页面上查看 导入任务执行的状态 ，如图所示：

输入的地址为 overlord 节点的地址+端口：

等待任务成功执行完成：

切换到查询测试目录，执行查询脚本： 

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