elasticsearch river 从数据库中导入数据

Elasticsearch中使用reiver-jdbc导入数据

2014-05-13 15:10 本站整理 浏览(3384)

 

 

Elasticsearch中使用reiver-jdbc导入数据，有需要的朋友可以参考下。

Elastisearch中提供了river模块来从其他数据源中获取数据，该项功能以插件的形式存在，目前已有的river插件包括：

river pluginsedit

1. Supported by Elasticsearch

• CouchDB River Plugin
• RabbitMQ River Plugin
• Twitter River Plugin
• Wikipedia River Plugin

2. Supported by the community

• ActiveMQ River Plugin (by Dominik Dorn)
• Amazon SQS River Plugin (by Alex Bogdanovski)
• CSV River Plugin (by Martin Bednar)
• Dropbox River Plugin (by David Pilato)
• FileSystem River Plugin (by David Pilato)
• Git River Plugin (by Olivier Bazoud)
• GitHub River Plugin (by uberVU)
• Hazelcast River Plugin (by Steve Samuel)
• JDBC River Plugin (by Jörg Prante)
• JMS River Plugin (by Steve Sarandos)
• Kafka River Plugin (by Endgame Inc.)
• LDAP River Plugin (by Tanguy Leroux)
• MongoDB River Plugin (by Richard Louapre)
• Neo4j River Plugin (by Steve Samuel)
• Open Archives Initiative (OAI) River Plugin (by Jörg Prante)
• Redis River Plugin (by Steve Samuel)
• RSS River Plugin (by David Pilato)
• Sofa River Plugin (by adamlofts)
• Solr River Plugin (by Luca Cavanna)
• St9 River Plugin (by Sunny Gleason)
• Subversion River Plugin (by Pascal Lombard)
• DynamoDB River Plugin (by Kevin Wang)

可以看出，已经覆盖了大部分的数据源，特别是针对关系型数据库提供了统一的jdbc-river来进行数据操作。

elasticsearch-river-jdbc的源码在：https://github.com/jprante/elasticsearch-river-jdbc，该项目提供了详细的文档，下面以SQL Server为例简单说明使用方法。

首先，需要安装elasticsearch-river-jdbc，在elasticsearch目录下执行：

./bin/plugin --install jdbc --url http://xbib.org/repository/org/xbib/elasticsearch/plugin/elasticsearch-river-jdbc/1.1.0.1/elasticsearch-river-jdbc-1.1.0.1-plugin.zip

然后，安装SQLServer的JDBC库，链接为：Microsoft 
JDBC Driver。把其中的‘sqljdbc4.jar’复制到elasticsearch安装目录的lib文件夹下。

考虑到elasticsearch集群，以上两个步骤在每个节点上都需要执行。

最后也是最关键的一步，在elasticsearch中建立river，让elasticsearch自动从SQLServer中获取数据。

PUT /_river/mytest_river/_meta
{
    “type” : “jdbc”,
    “jdbc” : {
        “driver”:”com.microsoft.sqlserver.jdbc.SQLServerDriver”,
        “url”:”jdbc:sqlserver://MYSQLSERVERNAME;databaseName=MYProductDatabase”,
        “user”:”admin”,”password”:”Password”,
        “sql”:”select ProductID as _id, CategoryID,ManufacturerID,MfName,ProductTitle,MfgPartNumber from MyProductsTable(nolock)”,
        “poll”:”10m”,
        “strategy” : “simple”,
        “index” : “myinventory”,
        “type” : “product”,
        “bulk_size” : 100,
        “max_retries”: 5,
        “max_retries_wait”:”30s”,
        “max_bulk_requests” : 5,
        “bulk_flush_interval” : “5s”
    }
}

其中，各个参数选项的含义参阅文档：https://github.com/jprante/elasticsearch-river-jdbc/wiki/JDBC-River-parameters

参考文档：

1. http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-plugins.html
2. http://blog.csdn.net/an74520/article/details/8740065
3. http://www.techovity.com/create-river-elasticsearch-ms-sql-server-automatic-data-transfer/