elasticsearch与neo4j数据库的集成 [英] Integration of elasticsearch with neo4j database

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本文介绍了elasticsearch与neo4j数据库的集成的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试在我的 neo4j 数据库中使用 elasticsearch 进行快速查询.我尝试了很多站点,但它们都是旧文章,所以我没有得到任何明确的想法.到目前为止我遵循的步骤,

Am trying to use elasticsearch with my neo4j database for fast querying.I tried many sites but they are all old articles so i didn't get any clear idea. Steps I followed until now,

  1. 安装neo4j
  2. 安装elasticsearch
  3. 将粘贴的弹性搜索插件复制到 neo4j 插件文件夹中
  4. 将此行添加到neo4j中.属性文件

  1. Installed neo4j
  2. Installed elasticsearch
  3. Copy pasted elastic search plugins into neo4j plugins folder
  4. added this line into neo4j. properties file

elasticsearch.host_name=http://localhost:9200

elasticsearch.index_spec=people:Person(first_name,last_name),places:Place(name)

我的问题是,

elasticsearch 和 neo4j 是如何集成的.请澄清这一点.

How elasticsearch and neo4j are integrated. Please clarify me on this.

我跟着这个,

链接

推荐答案

您必须安装 Apoc 程序插件 (https://github.com/neo4j-contrib/neo4j-apoc-procedures).关于 ES 集成的文档在这里:ES 与 Apoc 程序的集成

You have to install Apoc procedures plugin (https://github.com/neo4j-contrib/neo4j-apoc-procedures). The documentation about ES integration is here : ES Integration with Apoc procedures

  • 将 apoc.jar 下载并放到插件的 Neo4j 目录中,关于目标 Neo4j 版本

  • download and drop apoc.jar in plugins's Neo4j directory, regarding the targetted Neo4j version

重启 Neo4j

在 Neo4j Web 浏览器中,启动以下 Cypher 查询以显示所有 ES 过程:

in Neo4j Web browser, launch the following Cypher query to show all ES procedures:

CALL apoc.help("apoc.es")

日志示例查询:

CALL apoc.es.getRaw("localhost","_search?q=level:ERROR",null) 
YIELD value 
UNWIND value.hits.hits as hits
RETURN hits LIMIT 100

推荐的方式是在neo4j.conf中添加一个key(Neo4j重启后)存放ES主机:

The recommanded way is to store the ES host in neo4j.conf by adding a key (after restart of Neo4j):

apoc.es.myKey.url=localhost

然后查询看起来像:

CALL apoc.es.getRaw("myKey","_search?q=level:ERROR",null) 
YIELD value 
UNWIND value.hits.hits as hits
RETURN hits LIMIT 100

这篇关于elasticsearch与neo4j数据库的集成的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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