我正在尝试从 CSV 导入,其中有些行有帐号,有些则没有。如果帐户确实有号码,我想使用它们进行合并:会有一些记录,其中帐户的名称已更改,但号码将始终保持不变。对于没有帐号的其他记录,我能做的最好的就是合并帐户名称。
所以我真的需要某种条件:如果一行有帐号,则合并该帐号,否则合并帐号名称。类似...
LOAD CSV WITH HEADERS FROM 'file:///testfile.csv' AS line
MERGE (x:Thing {
CASE line.accountNumber WHEN NULL
THEN name: line.accountName
ELSE number: line.accountNumber
END
})
ON CREATE SET
x.name = line.accountName,
x.number = line.accountNumber
但这当然行不通。有什么想法吗?
最佳答案
要在 LOAD CSV 中测试 .csv 文件中的“NULL”值,您必须测试空字符串。
测试文件.csv
acct_name,acct_num
John,1
Stacey,2
Alice,
Bob,4
这假设帐户名称是唯一的...
LOAD CSV WITH HEADERS FROM 'file:///testfile.csv' AS line
// If acct_num is not null, merge on account number and set name if node is created instead of found.
FOREACH(number IN (CASE WHEN line.acct_num <> "" THEN [TOINT(line.acct_num)] ELSE [] END) |
MERGE (x:Thing {number:number})
ON CREATE SET x.name = line.acct_name
)
// If acct_num is null, merge on account name. This node will not have an account number if it is created instead of matched.
FOREACH(name IN (CASE WHEN line.acct_num = "" THEN [line.acct_name] ELSE [] END) |
MERGE (x:Thing {name:name})
)
关于csv - Neo4j 密码 : MERGE conditionally with values from LOAD CSV,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/25003846/