apache-storm-0.9.6.tar.gz的集群搭建（3节点）（图文详解）

2017-11-04 549

Storm的版本选取

　　我这里，是选用apache-storm-0.9.6.tar.gz

Storm的本地模式安装

　　本地模式在一个进程里面模拟一个storm集群的所有功能，这对开发和测试来说非常方便。以本地模式运行topology跟在集群上运行topology类似。

　　要创建一个进程内“集群”，使用LocalCluster对象就可以了:

import backtype.storm.LocalCluster;
LocalCluster cluster = new LocalCluster();

　　然后可以通过LocalCluster对象的submitTopology方法来提交topology, 效果和StormSubmitter对应的方法是一样的。submitTopology方法需要三个参数: topology的名字， topology的配置以及topology对象本身。你可以通过killTopology方法来终止一个topology，它需要一个topology名字作为参数。

　　要关闭一个本地集群，简单调用:

cluster.shutdown();

　　就可以了。

Storm的分布式模式安装（本博文）

官方安装文档

http://storm.apache.org/releases/current/Setting-up-a-Storm-cluster.html

　　机器情况：在master、slave1、slave2机器的/home/hadoop/app目录下分别下载storm安装包

1、apache-storm-0.9.6.tar.gz的下载

http://archive.apache.org/dist/storm/apache-storm-0.9.6/

　　或者，直接在安装目录下，在线下载

wget http://apache.fayea.com/storm/apache-storm-0.9.6/apache-storm-0.9.6.tar.gz

　　我这里，选择先下载好，再上传安装的方式。

2、上传压缩包

[hadoop@master ~]$ cd app/
[hadoop@master app]$ ll
total 60
drwxrwxr-x   5 hadoop hadoop 4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop 4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop 4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop   20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop   11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop   12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop   13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop 4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop   10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop 4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop   18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop 4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop   26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop 4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop   12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop 4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop 4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx.  1 hadoop hadoop   15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$ rz

[hadoop@master app]$ ll
total 20580
-rw-r--r--   1 hadoop hadoop 21010966 May 18 12:16 apache-storm-0.9.6.tar.gz
drwxrwxr-x   5 hadoop hadoop     4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop     4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop     4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop       20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop       11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop     4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop     4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop       12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop     4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop       13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop     4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop       10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop     4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop     4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop     4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop       18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop     4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop       26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop     4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop       12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop     4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop     4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx.  1 hadoop hadoop       15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop     4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$

　　slave1和slave2机器同样。不多赘述。

3、解压压缩包，并赋予用户组和用户权限

[hadoop@master app]$ ll
total 20580
-rw-r--r--   1 hadoop hadoop 21010966 May 18 12:16 apache-storm-0.9.6.tar.gz
drwxrwxr-x   5 hadoop hadoop     4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop     4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop     4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop       20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop       11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop     4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop     4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop       12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop     4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop       13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop     4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop       10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop     4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop     4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop     4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop       18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop     4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop       26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop     4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop       12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop     4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop     4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx.  1 hadoop hadoop       15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop     4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$ tar -zxvf apache-storm-0.9.6.tar.gz

　　slave1和slave2机器同样。不多赘述。

4、删除压缩包，为了更好容下多版本，创建软链接

大数据各子项目的环境搭建之建立与删除软连接（博主推荐）

[hadoop@master app]$ ll
total 20584
drwxrwxr-x   9 hadoop hadoop     4096 May 21 13:15 apache-storm-0.9.6
-rw-r--r--   1 hadoop hadoop 21010966 May 18 12:16 apache-storm-0.9.6.tar.gz
drwxrwxr-x   5 hadoop hadoop     4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop     4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop     4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop       20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop       11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop     4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop     4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop       12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop     4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop       13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop     4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop       10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop     4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop     4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop     4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop       18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop     4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop       26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop     4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop       12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop     4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop     4096 May 19 10:31 sqoop-1.4.6

lrwxrwxrwx. 1 hadoop hadoop 15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$ rm apache-storm-0.9.6.tar.gz
[hadoop@master app]$ ln -s apache-storm-0.9.6/ storm
[hadoop@master app]$ ll
total 64
drwxrwxr-x 9 hadoop hadoop 4096 May 21 13:15 apache-storm-0.9.6
drwxrwxr-x 5 hadoop hadoop 4096 May 1 15:21 azkaban
drwxrwxr-x 7 hadoop hadoop 4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x 6 hadoop hadoop 4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx 1 hadoop hadoop 20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx 1 hadoop hadoop 11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x 7 hadoop hadoop 4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x 7 hadoop hadoop 4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx. 1 hadoop hadoop 13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x. 8 hadoop hadoop 4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx. 1 hadoop hadoop 10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x. 8 hadoop hadoop 4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx. 1 hadoop hadoop 11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
drwxr-xr-x. 8 hadoop hadoop 4096 Aug 5 2015 jdk1.8.0_60
lrwxrwxrwx 1 hadoop hadoop 18 May 3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x 6 hadoop hadoop 4096 May 3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx 1 hadoop hadoop 26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x 11 hadoop hadoop 4096 Nov 4 2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx 1 hadoop hadoop 12 May 1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x 6 hadoop hadoop 4096 May 1 19:40 snappy-1.1.3
lrwxrwxrwx. 1 hadoop hadoop 11 Apr 12 11:28 sqoop -> sqoop-1.4.6

drwxr-xr-x. 9 hadoop hadoop 4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx 1 hadoop hadoop 19 May 21 13:17 storm -> apache-storm-0.9.6/
lrwxrwxrwx. 1 hadoop hadoop 15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$

　　slave1和slave2机器同样。不多赘述。

5、修改配置环境

[hadoop@master app]$ su root
Password: 
[root@master app]# vim /etc/profile

　　slave1和slave2机器同样。不多赘述

#storm
export STORM_HOME=/home/hadoop/app/storm
export PATH=$PATH:$STORM_HOME/bin

　　slave1和slave2机器同样。不多赘述

[hadoop@master app]$ su root
Password: 
[root@master app]# vim /etc/profile
[root@master app]# source /etc/profile
[root@master app]#

　　　slave1和slave2机器同样。不多赘述

6、下载好Storm集群所需的其他

　　因为博主我的机器是CentOS6.5，已经自带了

[hadoop@master ~]$ python
Python 2.6.6 (r266:84292, Nov 22 2013, 12:16:22) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-4)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>>

7、配置storm的配置文件

[hadoop@master storm]$ pwd
/home/hadoop/app/storm
[hadoop@master storm]$ ll
total 124
drwxrwxr-x 2 hadoop hadoop  4096 May 21 13:15 bin
-rw-r--r-- 1 hadoop hadoop 42516 Oct 29  2015 CHANGELOG.md
drwxrwxr-x 2 hadoop hadoop  4096 May 21 13:15 conf
-rw-r--r-- 1 hadoop hadoop   538 Oct 29  2015 DISCLAIMER
drwxr-xr-x 3 hadoop hadoop  4096 Oct 29  2015 examples
drwxrwxr-x 5 hadoop hadoop  4096 May 21 13:15 external
drwxrwxr-x 2 hadoop hadoop  4096 May 21 13:15 lib
-rw-r--r-- 1 hadoop hadoop 23004 Oct 29  2015 LICENSE
drwxrwxr-x 2 hadoop hadoop  4096 May 21 13:15 logback
-rw-r--r-- 1 hadoop hadoop   981 Oct 29  2015 NOTICE
drwxrwxr-x 6 hadoop hadoop  4096 May 21 13:15 public
-rw-r--r-- 1 hadoop hadoop 10987 Oct 29  2015 README.markdown
-rw-r--r-- 1 hadoop hadoop     6 Oct 29  2015 RELEASE
-rw-r--r-- 1 hadoop hadoop  3581 Oct 29  2015 SECURITY.md
[hadoop@master storm]$

　　slave1和slave2机器同样。不多赘述

　　进入storm配置目录下，修改配置文件storm.yaml

[hadoop@master conf]$ pwd
/home/hadoop/app/storm/conf
[hadoop@master conf]$ ll
total 8
-rw-r--r-- 1 hadoop hadoop 1128 Oct 29  2015 storm_env.ini
-rw-r--r-- 1 hadoop hadoop 1613 Oct 29  2015 storm.yaml
[hadoop@master conf]$ vim storm.yaml

　　slave1和slave2机器同样。不多赘述

　　这里，教给大家一个非常好的技巧。

大数据搭建各个子项目时配置文件技巧（适合CentOS和Ubuntu系统）（博主推荐）

　　注意第一列需要一个空格

 storm.zookeeper.servers:
     - "master"
     - "slave1"
     - "slave2"

 nimbus.host: "master"
 ui.port: 9999

 storm.local.dir: "/home/hadoop/data/storm"

 supervisor.slots.ports:
     - 6700
     - 6701

　　注意：我的这里ui.port选定为9999，是自定义，为了解决Storm 和spark默认的 8080 端口冲突！

　　supervisor.slots.ports，我这里是两个，因为我只有slave和slave2.

　　slave1和slave2机器同样。不多赘述。

8、新建storm数据存储的路径目录

[hadoop@master conf]$ mkdir -p /home/hadoop/data/storm

　　slave1和slave2机器同样。不多赘述

9、启动storm集群

1、先在master上启动

storm nimbus &

jps出现nimbus

2、再在master上启动

storm ui &

jps出现core

3、最后在slave1和slave2上启动 supervisor

storm supervisor &

jps出现supervisor

或者直接用后台方式来运行（推荐）

启动nimbus后台运行：bin/storm nimbus < /dev/null 2<&1 &
启动supervisor后台运行：bin/storm supervisor < /dev/null 2<&1 &
启动ui后台运行：bin/storm ui < /dev/null 2<&1 &

　　a) 在nimbus设备（我这里是master）上启动storm nimbus进程

[hadoop@master storm]$ jps
2374 QuorumPeerMain
6244 Jps
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ storm nimbus &
[1] 6254
[hadoop@master storm]$ jps
2374 QuorumPeerMain
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
6255 config_value
2515 NameNode
2671 SecondaryNameNode
6265 Jps
[hadoop@master storm]$ jps
2374 QuorumPeerMain
3343 AzkabanWebServer
6286 Jps
2813 ResourceManager
3401 AzkabanExecutorServer
6276 config_value
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ Running: /home/hadoop/app/jdk/bin/java -server -Dstorm.options= -Dstorm.home=/home/hadoop/app/apache-storm-0.9.6 -Dstorm.log.dir=/home/hadoop/app/apache-storm-0.9.6/logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/apache-storm-0.9.6/lib/tools.macro-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/objen
esis-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-core-1.1.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-fileupload-1.2.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-codec-1.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clojure-1.5.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-io-2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/hiccup-0.3.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-core-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.logging-0.2.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-stacktrace-0.2.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-exec-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/kryo-2.21.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-classic-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.cli-0.2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-logging-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/disruptor-2.10.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-util-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/compojure-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/minlog-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-devel-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/reflectasm-1.07-shaded.jar:/home/hadoop/app/apache-storm-0.9.6/lib/carbonite-1.4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/chill-java-0.3.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/asm-4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-jetty-adapter-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-servlet-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/storm-core-0.9.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-time-0.4.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/snakeyaml-1.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/servlet-api-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/json-simple-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/core.incubator-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/log4j-over-slf4j-1.6.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clout-1.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-lang-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jline-2.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jgrapht-core-0.9.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/math.numeric-tower-0.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/slf4j-api-1.7.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/joda-time-2.0.jar:/home/hadoop/app/apache-storm-0.9.6/conf -Xmx1024m -Dlogfile.name=nimbus.log -Dlogback.configurationFile=/home/hadoop/app/apache-storm-0.9.6/logback/cluster.xml backtype.storm.daemon.nimbus

[hadoop@master storm]$ jps
2374 QuorumPeerMain
6244 Jps
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ storm nimbus &
[1] 6254
[hadoop@master storm]$ jps
2374 QuorumPeerMain
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
6255 config_value
2515 NameNode
2671 SecondaryNameNode
6265 Jps
[hadoop@master storm]$ jps
2374 QuorumPeerMain
3343 AzkabanWebServer
6286 Jps
2813 ResourceManager
3401 AzkabanExecutorServer
6276 config_value
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ Running: /home/hadoop/app/jdk/bin/java -server -Dstorm.options= -Dstorm.home=/home/hadoop/app/apache-storm-0.9.6 -Dstorm.log.dir=/home/hadoop/app/apache-storm-0.9.6/logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/apache-storm-0.9.6/lib/tools.macro-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/objen
esis-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-core-1.1.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-fileupload-1.2.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-codec-1.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clojure-1.5.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-io-2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/hiccup-0.3.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-core-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.logging-0.2.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-stacktrace-0.2.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-exec-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/kryo-2.21.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-classic-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.cli-0.2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-logging-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/disruptor-2.10.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-util-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/compojure-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/minlog-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-devel-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/reflectasm-1.07-shaded.jar:/home/hadoop/app/apache-storm-0.9.6/lib/carbonite-1.4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/chill-java-0.3.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/asm-4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-jetty-adapter-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-servlet-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/storm-core-0.9.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-time-0.4.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/snakeyaml-1.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/servlet-api-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/json-simple-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/core.incubator-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/log4j-over-slf4j-1.6.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clout-1.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-lang-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jline-2.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jgrapht-core-0.9.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/math.numeric-tower-0.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/slf4j-api-1.7.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/joda-time-2.0.jar:/home/hadoop/app/apache-storm-0.9.6/conf -Xmx1024m -Dlogfile.name=nimbus.log -Dlogback.configurationFile=/home/hadoop/app/apache-storm-0.9.6/logback/cluster.xml backtype.storm.daemon.nimbus

　　b) 在nimbus设备（我这里是master）上启动storm ui进程

[hadoop@master storm]$ storm ui &
[1] 6356
[hadoop@master storm]$ jps
2374 QuorumPeerMain
6367 Jps
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
6357 config_value
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ Running: /home/hadoop/app/jdk/bin/java -server -Dstorm.options= -Dstorm.home=/home/hadoop/app/apache-storm-0.9.6 -Dstorm.log.dir=/home/hadoop/app/apache-storm-0.9.6/logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/apache-storm-0.9.6/lib/tools.macro-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/objenesis-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-core-1.1.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-fileupload-1.2.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-codec-1.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clojure-1.5.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-io-2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/hiccup-0.3.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-core-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.logging-0.2.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-stacktrace-0.2.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-exec-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/kryo-2.21.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-classic-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.cli-0.2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-logging-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/disruptor-2.10.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-util-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/compojure-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/minlog-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-devel-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/reflectasm-1.07-shaded.jar:/home/hadoop/app/apache-storm-0.9.6/lib/carbonite-1.4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/chill-java-0.3.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/asm-4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-jetty-adapter-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-servlet-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/storm-core-0.9.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-time-0.4.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/snakeyaml-1.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/servlet-api-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/json-simple-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/core.incubator-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/log4j-over-slf4j-1.6.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clout-1.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-lang-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jline-2.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jgrapht-core-0.9.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/math.numeric-tower-0.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/slf4j-api-1.7.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/joda-time-2.0.jar:/home/hadoop/app/apache-storm-0.9.6:/home/hadoop/app/apache-storm-0.9.6/conf -Xmx768m -Dlogfile.name=ui.log -Dlogback.configurationFile=/home/hadoop/app/apache-storm-0.9.6/logback/cluster.xml backtype.storm.ui.core

　　c) 在slave1和slave2设备上分别启动storm supervisor进程

storm supervisor &

[hadoop@slave1 storm]$ jps
2421 NodeManager
2342 DataNode
2274 QuorumPeerMain
4126 Jps
[hadoop@slave1 storm]$ storm supervisor &
[1] 4136
[hadoop@slave1 storm]$ Running: /home/hadoop/app/jdk/bin/java -server -Dstorm.options= -Dstorm.home=/home/hadoop/app/apache-storm-0.9.6 -Dstorm.log.dir=/home/hadoop/app/apache-storm-0.9.6/logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/apache-storm-0.9.6/lib/snakeyaml-1.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-core-1.1.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/kryo-2.21.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-devel-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/carbonite-1.4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/slf4j-api-1.7.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/math.numeric-tower-0.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/log4j-over-slf4j-1.6.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-codec-1.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/reflectasm-1.07-shaded.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-logging-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.logging-0.2.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jline-2.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-lang-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/disruptor-2.10.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/minlog-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clout-1.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/json-simple-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/chill-java-0.3.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clojure-1.5.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/joda-time-2.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-stacktrace-0.2.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/asm-4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-exec-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jgrapht-core-0.9.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-jetty-adapter-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-classic-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-util-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/objenesis-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/servlet-api-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-core-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-time-0.4.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/hiccup-0.3.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/core.incubator-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-servlet-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-io-2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.macro-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-fileupload-1.2.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/storm-core-0.9.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/compojure-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.cli-0.2.4.jar:/home/hadoop/app/apache-storm-0.9.6/conf -Xmx256m -Dlogfile.name=supervisor.log -Dlogback.configurationFile=/home/hadoop/app/apache-storm-0.9.6/logback/cluster.xml backtype.storm.daemon.supervisor

[hadoop@slave2 storm]$ jps
2365 NodeManager
2291 DataNode
4078 Jps
2229 QuorumPeerMain
[hadoop@slave2 storm]$ storm supervisor &
[1] 4089
[hadoop@slave2 storm]$ Running: /home/hadoop/app/jdk/bin/java -server -Dstorm.options= -Dstorm.home=/home/hadoop/app/apache-storm-0.9.6 -Dstorm.log.dir=/home/hadoop/app/apache-storm-0.9.6/logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /home/hadoop/app/apache-storm-0.9.6/lib/ring-core-1.1.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/snakeyaml-1.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/math.numeric-tower-0.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-jetty-adapter-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/objenesis-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/asm-4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-devel-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/servlet-api-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jline-2.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/core.incubator-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/reflectasm-1.07-shaded.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-codec-1.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clout-1.0.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/joda-time-2.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/disruptor-2.10.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-util-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/hiccup-0.3.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.macro-0.1.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jgrapht-core-0.9.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/storm-core-0.9.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.cli-0.2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-stacktrace-0.2.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/jetty-6.1.26.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-lang-2.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-exec-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/log4j-over-slf4j-1.6.6.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clojure-1.5.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/json-simple-1.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/tools.logging-0.2.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/chill-java-0.3.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/slf4j-api-1.7.5.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-logging-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-core-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/minlog-1.2.jar:/home/hadoop/app/apache-storm-0.9.6/lib/clj-time-0.4.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/ring-servlet-0.3.11.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-fileupload-1.2.1.jar:/home/hadoop/app/apache-storm-0.9.6/lib/logback-classic-1.0.13.jar:/home/hadoop/app/apache-storm-0.9.6/lib/carbonite-1.4.0.jar:/home/hadoop/app/apache-storm-0.9.6/lib/commons-io-2.4.jar:/home/hadoop/app/apache-storm-0.9.6/lib/compojure-1.1.3.jar:/home/hadoop/app/apache-storm-0.9.6/lib/kryo-2.21.jar:/home/hadoop/app/apache-storm-0.9.6/conf -Xmx256m -Dlogfile.name=supervisor.log -Dlogback.configurationFile=/home/hadoop/app/apache-storm-0.9.6/logback/cluster.xml backtype.storm.daemon.supervisor

10、查看storm u集群

http://192.168.80.145:9999/index.html

　　成功！，其他的大家，自行去看吧，这里不多赘述了。

本文转自大数据躺过的坑博客园博客，原文链接：http://www.cnblogs.com/zlslch/p/6884613.html，如需转载请自行联系原作者

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原文链接：https://yq.aliyun.com/articles/366797

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HBase二级索引

我们会经常谈及二级索引，这是对全表数据进行另外一种方式的组织存储，是针对table级别的。如果要为HBase上的表实现一个强一致性的二级索引，那么就无法逃避分布式事务，而这一直是用户最期待的功能。而即使只需要保证最终一致性，这个索引也并不好实现，因为你需要额外的表以存储过程数据，需要解决宕机恢复问题等撇开分布式事务，我们是否可以考虑对索引的要求进行降级，比如把Region看成是全表下的子表，实现一套Region级别的索引，通过功能上的牺牲以换取实现的简易及稳定一般来说,对数据库建立索引,往往需要单独的数据结构来存储索引的数据.在为hbase建立索引时,可以另外建立一张索引表,查询时先查询索引表然后用查询结果查询数据表. 但是对于hbase这种分布式的数据库来说,最大的问题是解决索引表和数据表的本地性问题,hbase很容易就因为负载均衡,表split等原因把索引表和数据表的数据分布到不同的region server上,比如下图中,数据表和索引表就出现在了不同的region server上在HBase中实现二级索引与索引Join需要考虑三个目标：1，高性能的范围检索。2，数据的低冗余...

2017-11-03

549

logstash-input-jdbc实现mysql 与elasticsearch实时同步深入详解

引言： elasticsearch 的出现使得我们的存储、检索数据更快捷、方便。但很多情况下，我们的需求是：现在的数据存储在mysql、oracle等关系型传统数据库中，如何尽量不改变原有数据库表结构，将这些数据的insert,update,delete操作结果实时同步到elasticsearch(简称ES)呢？本文基于以上需求点展开实战讨论。 1.对delete操作的实时同步泼冷水到目前为止，所有google,stackoverflow,elastic.co,github上面搜索的插件和实时同步的信息，告诉我们：目前同步delete还没有好的解决方案。折中的解决方案如下：方案探讨：https://discuss.elastic.co/t/delete-elasticsearch-document-with-logstash-jdbc-input/47490/9http://stackoverflow.com/questions/34477095/elasticsearch-replication-of-other-system-data/34477639#34477639 方...

2017-11-04

634

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Mario

马里奥是站在游戏界顶峰的超人气多面角色。马里奥靠吃蘑菇成长，特征是大鼻子、头戴帽子、身穿背带裤，还留着胡子。与他的双胞胎兄弟路易基一起，长年担任任天堂的招牌角色。

腾讯云软件源

为解决软件依赖安装时官方源访问速度慢的问题，腾讯云为一些软件搭建了缓存服务。您可以通过使用腾讯云软件源站来提升依赖包的安装速度。为了方便用户自由搭建服务架构，目前腾讯云软件源站支持公网访问和内网访问。

Rocky Linux

Rocky Linux（中文名：洛基）是由Gregory Kurtzer于2020年12月发起的企业级Linux发行版，作为CentOS稳定版停止维护后与RHEL（Red Hat Enterprise Linux）完全兼容的开源替代方案，由社区拥有并管理，支持x86_64、aarch64等架构。其通过重新编译RHEL源代码提供长期稳定性，采用模块化包装和SELinux安全架构，默认包含GNOME桌面环境及XFS文件系统，支持十年生命周期更新。

WebStorm

WebStorm 是jetbrains公司旗下一款JavaScript 开发工具。目前已经被广大中国JS开发者誉为“Web前端开发神器”、“最强大的HTML5编辑器”、“最智能的JavaScript IDE”等。与IntelliJ IDEA同源，继承了IntelliJ IDEA强大的JS部分的功能。

apache-storm-0.9.6.tar.gz的集群搭建（3节点）（图文详解）

Storm的版本选取

Storm的本地模式安装

Storm的分布式模式安装（本博文）

大数据各子项目的环境搭建之建立与删除软连接（博主推荐）

大数据搭建各个子项目时配置文件技巧（适合CentOS和Ubuntu系统）（博主推荐）

HBase二级索引

logstash-input-jdbc实现mysql 与elasticsearch实时同步深入详解

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