Yax*_*hah 53 mysql elasticsearch logstash elasticsearch-5
在我的一个项目中,我计划将ElasticSearch与mysql一起使用.我已经成功安装了ElasticSearch.我能够分别管理ES中的索引.但我不知道如何用mysql实现相同的功能.
我已阅读了几份文件,但我有点困惑,没有明确的想法.谁能帮帮我吗?
提前致谢.
Nik*_*ahu 61
从ES 5.x开始,他们使用logstash插件开箱即用.
这将定期从数据库导入数据并推送到ES服务器.
必须创建一个简单的导入文件(这里也会介绍)并使用logstash来运行脚本.Logstash支持按计划运行此脚本.
# file: contacts-index-logstash.conf
input {
jdbc {
jdbc_connection_string => "jdbc:mysql://localhost:3306/mydb"
jdbc_user => "user"
jdbc_password => "pswd"
schedule => "* * * * *"
jdbc_validate_connection => true
jdbc_driver_library => "/path/to/latest/mysql-connector-java-jar"
jdbc_driver_class => "com.mysql.cj.jdbc.Driver"
statement => "SELECT * from contacts where updatedAt > :sql_last_value"
}
}
output {
elasticsearch {
protocol => http
index => "contacts"
document_type => "contact"
document_id => "%{id}"
host => "ES_NODE_HOST"
}
}
# "* * * * *" -> run every minute
# sql_last_value is a built in parameter whose value is set to Thursday, 1 January 1970,
# or 0 if use_column_value is true and tracking_column is set
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你可以在这里从maven下载mysql jar .
如果在执行此脚本时ES中不存在索引,则会自动创建它们.就像对弹性搜索的普通邮件调用一样
Yax*_*hah 41
最后我找到了答案.分享我的发现.
要将ElasticSearch与Mysql一起使用,您将需要Java数据库连接(JDBC)导入程序.使用JDBC驱动程序,您可以将mysql数据同步到elasticsearch.
我使用的是ubuntu 14.04 LTS,你需要安装Java8来运行elasticsearch,因为它是用Java编写的
以下是安装ElasticSearch 2.2.0和ElasticSearch-jdbc 2.2.0的步骤,请注意两个版本必须相同
安装Java8后.....安装elasticsearch 2.2.0如下
# cd /opt
# wget https://download.elasticsearch.org/elasticsearch/release/org/elasticsearch/distribution/deb/elasticsearch/2.2.0/elasticsearch-2.2.0.deb
# sudo dpkg -i elasticsearch-2.2.0.deb
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此安装过程将在/ usr/share/elasticsearch /中安装Elasticsearch,其配置文件将放在/ etc/elasticsearch中.
现在让我们在配置文件中做一些基本配置.这里/etc/elasticsearch/elasticsearch.yml是我们的配置文件,你可以打开文件进行更改
nano /etc/elasticsearch/elasticsearch.yml
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并更改群集名称和节点名称
例如 :
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: servercluster
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: vps.server.com
#
# Add custom attributes to the node:
#
# node.rack: r1
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现在保存文件并启动elasticsearch
/etc/init.d/elasticsearch start
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测试ES安装或不运行以下
curl -XGET 'http://localhost:9200/?pretty'
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如果你得到以下,那么你的elasticsearch现在安装:)
{
"name" : "vps.server.com",
"cluster_name" : "servercluster",
"version" : {
"number" : "2.2.0",
"build_hash" : "8ff36d139e16f8720f2947ef62c8167a888992fe",
"build_timestamp" : "2016-01-27T13:32:39Z",
"build_snapshot" : false,
"lucene_version" : "5.4.1"
},
"tagline" : "You Know, for Search"
}
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现在让我们安装elasticsearch-JDBC
从http://xbib.org/repository/org/xbib/elasticsearch/importer/elasticsearch-jdbc/2.3.3.1/elasticsearch-jdbc-2.3.3.1-dist.zip/ etc/elasticsearch/下载并在/ etc/elasticsearch /中提取相同的文件夹(日志路径应为/ etc/elasticsearch/logs)
我在mysql中创建了一个名为" ElasticSearchDatabase "的数据库,在该表中名为"test",其中包含字段id,name和email
cd /etc/elasticsearch
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并运行以下
echo '{
"type":"jdbc",
"jdbc":{
"url":"jdbc:mysql://localhost:3306/ElasticSearchDatabase",
"user":"root",
"password":"",
"sql":"SELECT id as _id, id, name,email FROM test",
"index":"users",
"type":"users",
"autocommit":"true",
"metrics": {
"enabled" : true
},
"elasticsearch" : {
"cluster" : "servercluster",
"host" : "localhost",
"port" : 9300
}
}
}' | java -cp "/etc/elasticsearch/elasticsearch-jdbc-2.2.0.0/lib/*" -"Dlog4j.configurationFile=file:////etc/elasticsearch/elasticsearch-jdbc-2.2.0.0/bin/log4j2.xml" "org.xbib.tools.Runner" "org.xbib.tools.JDBCImporter"
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现在检查是否在ES中导入了mysql数据
curl -XGET http://localhost:9200/users/_search/?pretty
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如果一切顺利,您将能够以json格式查看所有mysql数据,如果有任何错误,您将能够在/etc/elasticsearch/logs/jdbc.log文件中看到它们
警告:
在旧版本的ES ...插件中使用了Elasticsearch-river-jdbc,在最新版本中已完全弃用,因此请勿使用它.
我希望我能节省你的时间:)
任何进一步的想法表示赞赏
参考网址:https://github.com/jprante/elasticsearch-jdbc
logstash JDBC 插件将完成这项工作:
input {
jdbc {
jdbc_connection_string => "jdbc:mysql://localhost:3306/testdb"
jdbc_user => "root"
jdbc_password => "factweavers"
# The path to our downloaded jdbc driver
jdbc_driver_library => "/home/comp/Downloads/mysql-connector-java-5.1.38.jar"
jdbc_driver_class => "com.mysql.jdbc.Driver"
# our query
schedule => "* * * *"
statement => "SELECT" * FROM testtable where Date > :sql_last_value order by Date"
use_column_value => true
tracking_column => Date
}
output {
stdout { codec => json_lines }
elasticsearch {
"hosts" => "localhost:9200"
"index" => "test-migrate"
"document_type" => "data"
"document_id" => "%{personid}"
}
}
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