neo4j服务端算法插件安装以及简单用法

本是古典何须时尚 2021-10-12 21:21 529阅读 0赞

# neo4j win10安装 #

[neo4j下载地址][neo4j]

neo4j依赖jdk环境，本例中neo4j-community-3.5.8、jdk1.8

# neo4j启动 #

在neo4j-community-3.5.8的bin目录下，执行neo4j start

neo4j  stop为停服务

# 客户端访问 #

[http://localhost:7474/browser/][http_localhost_7474_browser]

账号密码默认为neo4j

# 安装算法插件 #

1、下载neo4j对应算法的插件jar包[ https://github.com/neo4j-contrib/neo4j-graph-algorithms/releases][https_github.com_neo4j-contrib_neo4j-graph-algorithms_releases]

通过这个地址查看neo4j版本和插件版本的对应并下载对应的jar包[https://github.com/neo4j-contrib/neo4j-graph-algorithms/blob/master/versions.json ][https_github.com_neo4j-contrib_neo4j-graph-algorithms_blob_master_versions.json]

2、将graph-algorithms-algo-\[version\].jar 下载的jar包复制到$NEO4J\_HOME/plugins目录中。

3、将以下内容添加到您的`$NEO4J_HOME/conf/neo4j.conf`文件中：

dbms.security.procedures.unrestricted=algo.*

此处配置的作用是：需要为库提供不受限制的访问权限，因为算法使用较低级别的内核API来读取和写入。

4、重启neo4j

D:\\xxx\\neo4j-community-3.5.8\\bin  neo4j start

# 验证算法插件是否正确安装 #

通过

CALL algo.list()

验证

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzODczNDMx_size_16_color_FFFFFF_t_70][]

#  page-rank算法简单示例 #

数据：

MERGE (home:Page {name:'Home'})
    MERGE (about:Page {name:'About'})
    MERGE (product:Page {name:'Product'})
    MERGE (links:Page {name:'Links'})
    MERGE (a:Page {name:'Site A'})
    MERGE (b:Page {name:'Site B'})
    MERGE (c:Page {name:'Site C'})
    MERGE (d:Page {name:'Site D'})
    
    MERGE (home)-[:LINKS]->(about)
    MERGE (about)-[:LINKS]->(home)
    MERGE (product)-[:LINKS]->(home)
    MERGE (home)-[:LINKS]->(product)
    MERGE (links)-[:LINKS]->(home)
    MERGE (home)-[:LINKS]->(links)
    MERGE (links)-[:LINKS]->(a)
    MERGE (a)-[:LINKS]->(home)
    MERGE (links)-[:LINKS]->(b)
    MERGE (b)-[:LINKS]->(home)
    MERGE (links)-[:LINKS]->(c)
    MERGE (c)-[:LINKS]->(home)
    MERGE (links)-[:LINKS]->(d)
    MERGE (d)-[:LINKS]->(home)

执行算法查看结果

CALL algo.pageRank.stream('Page', 'LINKS', {iterations:20, dampingFactor:0.85})
    YIELD nodeId, score
    
    RETURN algo.asNode(nodeId).name AS page,score
    ORDER BY score DESC

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzODczNDMx_size_16_color_FFFFFF_t_70 1][]

[neo4j]: https://neo4j.com/download-center/#community
[http_localhost_7474_browser]: http://localhost:7474/browser/
[https_github.com_neo4j-contrib_neo4j-graph-algorithms_releases]: https://github.com/neo4j-contrib/neo4j-graph-algorithms/releases
[https_github.com_neo4j-contrib_neo4j-graph-algorithms_blob_master_versions.json]: https://github.com/neo4j-contrib/neo4j-graph-algorithms/blob/master/versions.json
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzODczNDMx_size_16_color_FFFFFF_t_70]: /images/20211013/fece8bcd832b4dad89082e4618fbf76e.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMzODczNDMx_size_16_color_FFFFFF_t_70 1]: /images/20211013/012cd2250da24f1eb037a05d47ea66dd.png