csv - Windows 上的 neo4j 如何在交互式浏览器 session 中解析 cypher 加载 csv 中的文件名路径？

Question

我查看了有关此主题的所有其他问题，所有答案(即使是已获批准的答案)要么不完整，要么错误。所以，我提供了具体的例子，希望得到一个清晰的解释。

我在 neo4j.conf 中尝试了以下设置，所有设置似乎都以相同的方式处理:

dbms.directories.import=d:\\import\\
dbms.directories.import=d:/import/
dbms.directories.import=d:/import

在浏览器交互 session 中使用以下命令，结果在每个版本命令上方的注释中

// URI is not hierarchical
LOAD CSV WITH HEADERS FROM "file:Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

// Invalid input '/', makes sense but violates "correct" syntax seen online
LOAD CSV WITH HEADERS FROM file:/d:Endpoint.csv AS row WITH row LIMIT 4 RETURN row
LOAD CSV WITH HEADERS FROM file://d:/import/Endpoint.csv AS row WITH row LIMIT 4 RETURN row
LOAD CSV WITH HEADERS FROM file:///d:/import/Endpoint.csv AS row WITH row LIMIT 4 RETURN row

// works, but the drive letter used is completely ignored
LOAD CSV WITH HEADERS FROM "file:/d:Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

// works
LOAD CSV WITH HEADERS FROM "file:/Endpoint.csv" AS row WITH row LIMIT 4 RETURN row
LOAD CSV WITH HEADERS FROM "file:///Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

// Cannot load from URL 'file://Endpoint.csv': file URL may not contain an authority section (i.e. it should be 'file:///')
LOAD CSV WITH HEADERS FROM "file://Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

// URI is not hierarchical
LOAD CSV WITH HEADERS FROM "file:d:/import/Endpoint.csv" AS row WITH row LIMIT 4 RETURN row
LOAD CSV WITH HEADERS FROM "file:d:\\import\\Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

// Couldn't load the external resource at: file:/d:/import/import/Endpoint.csv
LOAD CSV WITH HEADERS FROM "file:///d:/import/Endpoint.csv" AS row WITH row LIMIT 4 RETURN row
LOAD CSV WITH HEADERS FROM "file:///d:\\import\\Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

Answer 1

这应该可行:

dbms.directories.import=d:/import

LOAD CSV WITH HEADERS FROM "file:///Endpoint.csv" AS row WITH row LIMIT 4 RETURN row

它将查找与配置的导入目录相关的文件。

如果您删除(注释掉)配置选项，您也可以提供绝对路径。

LOAD CSV WITH HEADERS FROM "file:///d:/import/Endpoint.csv" AS row WITH row LIMIT 4 RETURN row