neo4j - 我应该如何将此 neo4j Cypher/Apoc 负载转换为 neo4j-admin 导入？

Question

我正在处理电子邮件数据并使用 python 解析它，它每小时生成一个 csv。有了那个 csv，我有 5 个单独load csv commands的来创建/更新节点和关系。它们是NO ATTACHMENT OR LINK、URL ONLY、ATTACHMENT ONLY、URL AND ATTACHMENT和Attachment to Attachment Name, FileName Node。

我想通过批处理作业自动导入这些。由于我的熟悉，我想只用 python 来做，但我一直在寻找堆栈和其他地方，人们都在推荐neo4j-admin import. --nodes从文档来看，它看起来与我对and所做的非常不同--relationships。谁能帮助向我展示如何将CYPHER/APOC LOAD CSV我在下面创建的示例转换为noe4j-admin import?

// URL AND ATTACHMENT
USING PERIODIC COMMIT 1000
LOAD CSV WITH HEADERS FROM ("file:///sessions/4_hour_parsed_and_ready.csv") AS row
MERGE (a:Sender { name: row.From, domain: row.Sender_Sub_Fld})
MERGE (b:Link { name: row.Url_Sub_Fld, topLevelDomain: row.Url_Tld, htmlEncodedMessage: row.HTML_Encoded})
MERGE (c:Attachment { name: row.FileHash, fileExtension: row.FileName_Ext, containsMultipleExtensions: row.MultipleExtensions})
MERGE (d:Recipient { name: row.To})
WITH a,b,c,d,row
WHERE NOT row.Url_Tld = "false" AND NOT row.FileHash = "false"
CALL apoc.merge.relationship(a, row.Outcome, {}, {}, b) YIELD rel as rel1
CALL apoc.merge.relationship(b, row.Outcome2, {}, {}, d) YIELD rel as rel2
CALL apoc.merge.relationship(a, row.Outcome, {}, {}, c) YIELD rel as rel3
CALL apoc.merge.relationship(c, row.Outcome2, {}, {}, d) YIELD rel as rel4
RETURN a,b,c,d

或者我如何将这段代码包装在 py2neo 中。

标签： neo4jcypherpy2neoneo4j-apoc

Answer 1

我刚刚创建了一个保存服务器连接信息的函数，并将所有内容包装在 py2neo 查询中，然后执行它。

import py_2_neo_pass
from py_2_neo_pass import db_server, db_user, db_password
from py2neo import Graph, Node, Relationship

graph = Graph(ip_addr = db_server, username = db_user, password = db_password)

query='''
USING PERIODIC COMMIT 1000
LOAD CSV WITH HEADERS FROM ("file:///sessions/4_hour_parsed_and_ready.csv") AS row
MERGE (a:Sender { name: row.From, domain: row.Sender_Sub_Fld})
MERGE (b:Link { name: row.Url_Sub_Fld, topLevelDomain: row.Url_Tld, htmlEncodedMessage: row.HTML_Encoded})
MERGE (c:Attachment { name: row.FileHash, fileExtension: row.FileName_Ext, containsMultipleExtensions: row.MultipleExtensions})
MERGE (d:Recipient { name: row.To})
WITH a,b,c,d,row
WHERE NOT row.Url_Tld = "false" AND NOT row.FileHash = "false"
CALL apoc.merge.relationship(a, row.Outcome, {}, {}, b) YIELD rel as rel1
CALL apoc.merge.relationship(b, row.Outcome2, {}, {}, d) YIELD rel as rel2
CALL apoc.merge.relationship(a, row.Outcome, {}, {}, c) YIELD rel as rel3
CALL apoc.merge.relationship(c, row.Outcome2, {}, {}, d) YIELD rel as rel4
RETURN a,b,c,d
'''

graph.run(query)