druid部署

Quickstart单机测试

http://druid.io/docs/0.10.1/tutorials/quickstart.html

（1）Getting started

下载安装Druid:

curl -O http://static.druid.io/artifacts/releases/druid-0.10.1-bin.tar.gz
tar -xzf druid-0.10.1-bin.tar.gz
cd druid-0.10.1

主要目录:

• LICENSE - the license files.
• bin/ - scripts useful for this quickstart.
• conf/* - template configurations for a clustered setup.
• conf-quickstart/* - configurations for this quickstart.
• extensions/* - all Druid extensions.
• hadoop-dependencies/* - Druid Hadoop dependencies.
• lib/* - all included software packages for core Druid.
• quickstart/* - files useful for this quickstart.

（2）Start up Zookeeper

启动ZK

curl http://www.gtlib.gatech.edu/pub/apache/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gz -o zookeeper-3.4.6.tar.gz

tar -xzf zookeeper-3.4.6.tar.gz
cd zookeeper-3.4.6
cp conf/zoo_sample.cfg conf/zoo.cfg
./bin/zkServer.sh start

（3）Start up Druid services

启动Druid，Zookeeper running后，返回 druid-0.10.1目录，执行

 bin/init

这会为我们建立目录如log和var，下面在不同的terminal windows中执行不同的进程

java `cat conf-quickstart/druid/historical/jvm.config | xargs` -cp "conf-quickstart/druid/_common:conf-quickstart/druid/historical:lib/*" io.druid.cli.Main server historical
java `cat conf-quickstart/druid/broker/jvm.config | xargs` -cp "conf-quickstart/druid/_common:conf-quickstart/druid/broker:lib/*" io.druid.cli.Main server broker
java `cat conf-quickstart/druid/coordinator/jvm.config | xargs` -cp "conf-quickstart/druid/_common:conf-quickstart/druid/coordinator:lib/*" io.druid.cli.Main server coordinator
java `cat conf-quickstart/druid/overlord/jvm.config | xargs` -cp "conf-quickstart/druid/_common:conf-quickstart/druid/overlord:lib/*" io.druid.cli.Main server overlord
java `cat conf-quickstart/druid/middleManager/jvm.config | xargs` -cp "conf-quickstart/druid/_common:conf-quickstart/druid/middleManager:lib/*" io.druid.cli.Main server middleManager

　　

如果需要CTRL-C 来结束（这里不需要）

如果需要重启，需要删掉var目录，然后重启bin/init

摄入数据

在druid-0.10.1目录下执行

curl -X 'POST' -H 'Content-Type:application/json' -d @quickstart/wikiticker-index.json localhost:8090/druid/indexer/v1/task

返回
{"task":"index_hadoop_wikiticker_2017-11-26T12:57:40.055Z"}

ingestion task console: http://localhost:8090/console.html

 

image

coordinator console http://localhost:8081/#/.

 

image

 

image

 

（4）查询数据

执行

curl -L -H'Content-Type: application/json' -XPOST --data-binary @quickstart/wikiticker-top-pages.json http://localhost:8082/druid/v2/?pretty

返回

[html] view plaincopy

<embed id="ZeroClipboardMovie_1" src="http://static.blog.csdn.net/scripts/ZeroClipboard/ZeroClipboard.swf" loop="false" menu="false" quality="best" bgcolor="#ffffff" width="16" height="16" name="ZeroClipboardMovie_1" align="middle" allowscriptaccess="always" allowfullscreen="false" type="application/x-shockwave-flash" pluginspage="http://www.macromedia.com/go/getflashplayer" flashvars="id=1&width=16&height=16" wmode="transparent" >

1. {"task":"index_hadoop_wikiticker_2017-11-18T16:07:55.681Z"}localhost:druid-0.10.-data-binary @quickstart/wikiticker-top-pages.json http://localhost:8082/druid/v2/?pretty
2. [ {
3. "timestamp" : "2015-09-12T00:46:58.771Z",
4. "result" : [ {
5. "edits" : 33,
6. "page" : "Wikipedia:Vandalismusmeldung"
7. }, {
8. "edits" : 28,
9. "page" : "User:Cyde/List of candidates for speedy deletion/Subpage"
10. }, {
11. "edits" : 27,
12. "page" : "Jeremy Corbyn"
13. }, {
14. "edits" : 21,
15. "page" : "Wikipedia:Administrators' noticeboard/Incidents"
16. }, {
17. "edits" : 20,
18. "page" : "Flavia Pennetta"
19. }, {
20. "edits" : 18,
21. "page" : "Total Drama Presents: The Ridonculous Race"
22. }, {
23. "edits" : 18,
24. "page" : "User talk:Dudeperson176123"
25. }, {
26. "edits" : 18,
27. "page" : "Wikipédia:Le Bistro/12 septembre 2015"
28. }, {
29. "edits" : 17,
30. "page" : "Wikipedia:In the news/Candidates"
31. }, {
32. "edits" : 17,
33. "page" : "Wikipedia:Requests for page protection"
34. }, {
35. "edits" : 16,
36. "page" : "Utente:Giulio Mainardi/Sandbox"
37. }, {
38. "edits" : 16,
39. "page" : "Wikipedia:Administrator intervention against vandalism"
40. }, {
41. "edits" : 15,
42. "page" : "Anthony Martial"
43. }, {
44. "edits" : 13,
45. "page" : "Template talk:Connected contributor"
46. }, {
47. "edits" : 12,
48. "page" : "Chronologie de la Lorraine"
49. }, {
50. "edits" : 12,
51. "page" : "Wikipedia:Files for deletion/2015 September 12"
52. }, {
53. "edits" : 12,
54. "page" : "Гомосексуальный образ жизни"
55. }, {
56. "edits" : 11,
57. "page" : "Constructive vote of no confidence"
58. }, {
59. "edits" : 11,
60. "page" : "Homo naledi"
61. }, {
62. "edits" : 11,
63. "page" : "Kim Davis (county clerk)"
64. }, {
65. "edits" : 11,
66. "page" : "Vorlage:Revert-Statistik"
67. }, {
68. "edits" : 11,
69. "page" : "Конституция Японской империи"
70. }, {
71. "edits" : 10,
72. "page" : "The Naked Brothers Band (TV series)"
73. }, {
74. "edits" : 10,
75. "page" : "User talk:Buster40004"
76. }, {
77. "edits" : 10,
78. "page" : "User:Valmir144/sandbox"
79. } ]

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

数据加载方法

Loading Data

http://druid.io/docs/0.10.1/tutorials/ingestion.html
两种形式streaming (real-time) file-based (batch)
【1】HDFS文件
http://druid.io/docs/0.10.1/ingestion/batch-ingestion.html
【2】Kafka, Storm, Spark Streaming
利用Tranquility客户端 http://druid.io/docs/0.10.1/ingestion/stream-ingestion.html#stream-push

文件加载简单入门

Files-based
【1】加载本地磁盘文件：http://druid.io/docs/0.10.1/tutorials/tutorial-batch.html
【2】Streams-based
push data over HTTP：http://druid.io/docs/0.10.1/tutorials/tutorial-streams.html

【3】Kafka-based tutorial：http://druid.io/docs/0.10.1/tutorials/tutorial-kafka.html

例子1-加载本地磁盘文件

Loading from Files-Load your own batch data
【1】按照单机版下载并启动
http://druid.io/docs/0.10.1/tutorials/quickstart.html
【2】写ingestion规则
参考下载包中的 quickstart/wikiticker-index.json
要点：
(1)标识dataset,dataSource中dataSchema
(2)标识dataset的位置，inputSpec中的paths，多个文件用逗号分隔
(3)标识timestamp,timestampSpec的column
(4)标识dimensions ,dimensionsSpec的imensions(
(5)标识metrics,metricsSpec
(6)ranges,granularitySpec的intervals
如果数据无时间可以按照"2000-01-01T00:00:00.000Z"形式标识每一行
文件支持TSV, CSV, and JSON ，不支持嵌套JSON
JSON数据形式如下：
pageviews.json文件内容
{"time": "2015-09-01T00:00:00Z", "url": "/foo/bar", "user": "alice", "latencyMs": 32}
{"time": "2015-09-01T01:00:00Z", "url": "/", "user": "bob", "latencyMs": 11}
{"time": "2015-09-01T01:30:00Z", "url": "/foo/bar", "user": "bob", "latencyMs": 45}
主要保证每一行数据没有newline符号
如按下面写规则json，my-index-task.json
"dataSource": "pageviews"
"inputSpec": {
"type": "static",
"paths": "pageviews.json"
}
"timestampSpec": {
"format": "auto",
"column": "time"
}
"dimensionsSpec": {
"dimensions": ["url", "user"]
}
"metricsSpec": [
{"name": "views", "type": "count"},
{"name": "latencyMs", "type": "doubleSum", "fieldName": "latencyMs"}
]
"granularitySpec": {
"type": "uniform",
"segmentGranularity": "day",
"queryGranularity": "none",
"intervals": ["2015-09-01/2015-09-02"]
}
【3】为了保障indexing task可以读到pageviews.json文件内容
（1）本地执行（不配置连接hadoop），将pageviews.json文件放在Druid root目录
（2）若连接hadoop，修改inputSpec中的paths
【4】执行
curl -X 'POST' -H 'Content-Type:application/json' -d @my-index-task.json OVERLORD_IP:8090/druid/indexer/v1/task
若本地执行用下面
curl -X 'POST' -H 'Content-Type:application/json' -d @my-index-task.json localhost:8090/druid/indexer/v1/task=
通过http://OVERLORD_IP:8090/druid/indexer/v1/task 查看indexing的进度
【4】查询数据
数据将在1到2分钟后可用，通过Coordinator console http://localhost:8081/#/. 查看
【5】查看数据
http://druid.io/docs/0.10.1/querying/querying.html

例子2-消费kafka数据

Tutorial: Load from Kafka
【1】下载启动kafka
curl -O http://www.us.apache.org/dist/kafka/0.9.0.0/kafka_2.11-0.9.0.0.tgz
tar -xzf kafka_2.11-0.9.0.0.tgz
cd kafka_2.11-0.9.0.0
启动Kafka broker
./bin/kafka-server-start.sh config/server.properties
建立Kafka topic命名为metrics
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic metrics
【2】发送样例数据
Druid目录生成测试数据bin/generate-example-metrics
启动kafka的producer
./bin/kafka-console-producer.sh --broker-list localhost:9092 --topic metrics
将生成的数据贴到producer的终端中
【3】查询数据

转自 http://blog.csdn.net/hjw199089/article/details/78572034

作者：大诗兄_zl
链接：https://www.jianshu.com/p/03d32119dfdc
來源：简书
简书著作权归作者所有，任何形式的转载都请联系作者获得授权并注明出处。