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我正在尝试将 CSV 文件加载到托管在 GrapheneDB 上的 Neo4j 数据库中。它在第一个有 5000 行的文件上运行良好。完成此文件大约需要 16 秒。

我现在正在导入具有相同架构和相同行数的第二个文件。只是数据不一样。Cypher 查询已运行 30 多分钟，但仍未完成。我不确定它在做什么以及为什么它这么慢。这是我的密码：

USING PERIODIC COMMIT 500
LOAD CSV WITH HEADERS FROM 'http://example.com/some.csv' AS line
Match (c:Customer {customerID: line.CustomerID}) 
MERGE (c)<-[r:DEPT_OF]-(dept:Dept { name: line.Category})
ON CREATE 
SET dept.name = line.Category, dept.deptID=line.DeptID, dept.createdDTS=1453478149463
MERGE (dept)<-[r1:IN_DEPT]-(pt:ProductType {name: dept.name}) 
ON CREATE 
SET pt.name = dept.name, pt.packQty = line.PackQty, pt.createdDTS = 1453478149463, 
pt.productTypeID = line.ProductTypeID
MERGE (pt)<-[r2:OF_TYPE]-(st:Style {name: line.Style})
ON CREATE 
SET st.name = line.Style, st.styleID = line.StyleID, st.styleNum = line.StyleNo, st.price = line.Price
MERGE (st)<-[r3:OF_STYLE]-(p:Product {productNum: line.UPC})
ON CREATE 
SET p.floorMin = line.MinFloor, p.floorMax = line.FloorMax, p.color = line.Color, p.createdDTS = 1453478149463,
p.size = line.Size, p.productID = line.ProductID;

对于我的 csv 中的行：

UPC,Category,Style,StyleNo,Color,Size,MinFloor,MaxFloor,Price,ProductID,CustomerID,ProductType,PackQty,DeptID,StyleID,ProductTypeID,ProductID
33383605005,FRESH VEGETABLES,GREEN ONIONS 24/10 OZ,NA,NA,NA,0,0,1.79,,5f795a69-47cb-49c8-a334-0cf5d67be423,FRESH VEGETABLES,1,538a02c6-b6b7-4d0d-8dca-5ff3a513d59e,3e08dabb-415a-4826-86e8-44efb9813892,cc6a0f3c-1c05-44a0-b603-37cbbb60954e,3324b2b1-954a-4547-a82d-553be66d7b54
52867010005,FRESH VEGETABLES,GREEN ONIONS 24/10 OZ,NA,NA,NA,0,0,1.79,,5f795a69-47cb-49c8-a334-0cf5d67be423,FRESH VEGETABLES,1,edfa998f-3749-4d1f-bd96-3f4a5db0de67,fb11a8e5-de49-44da-924a-9ebc5f7f01d2,d47fd5d8-dbf0-4110-b701-543e6ed0ae40,28a9d206-96c6-4fe4-b528-84e446ba3c16

更新1：

我根据 Nicole 的回复添加了以下索引。

  1. 在 :Customer(customerID) 上创建索引
  2. 在 :Dept(name) 上创建索引
  3. 创建索引：ProductType（名称）
  4. 创建索引：样式（名称）
  5. 在 :Product(productNum) 上创建索引

这有很大帮助，但 5K 行仍然需要大约 20 秒。这正常吗？

任何帮助表示赞赏。

更新 2：

根据@michael 的回复，我进一步研究了一下，发现以下文章非常有用：

http://graphaware.com/neo4j/2014/07/31/cypher-merge-explained.html

更新 3：

我已将密码更新为以下内容以避免重复。我希望这看起来对吗？

USING PERIODIC COMMIT 500
LOAD CSV WITH HEADERS FROM '...' AS line
Match (c:Customer {customerID: line.CustomerID}) 
MERGE (c)<-[r:DEPT_OF]-(dept:Dept { name: line.Category })
ON CREATE 
SET dept.name = dept.name, dept.deptID=line.categoryID, dept.createdDTS=1453742532269, dept.modifiedDTS = 1453742532269
MERGE (c)<-[r22:DEPT_OF]-(dept)
MERGE (dept)<-[r1:IN_DEPT]-(pt:ProductType {name: dept.name}) 
ON CREATE 
SET pt.name = dept.name, pt.packQty = line.PackQty, pt.createdDTS = 1453742532269, pt.productTypeID = line.ProductTypeID, pt.modifiedDTS = 1453742532269
MERGE (c)<-[r2:DEPT_OF]-(dept)
MERGE (dept)<-[r3:IN_DEPT]-(pt) 
MERGE (pt)<-[r4:OF_TYPE]-(st:Style {name: line.Style})
ON CREATE 
SET st.name = line.Style, st.styleID = line.StyleID, st.styleNum = line.StyleNo, st.price = line.Price, st.modifiedDTS = 1453742532269, st.createdDTS = 1453742532269
MERGE (c)<-[r5:DEPT_OF]-(dept)
MERGE (dept)<-[r6:IN_DEPT]-(pt) 
MERGE (pt)<-[r7:OF_TYPE]-(st)
MERGE (st)<-[r8:OF_STYLE]-(p:Product {productNum: line.UPC})
ON CREATE 
SET p.floorMin = line.MinFloor, p.floorMax = line.FloorMax, p.color = line.Color, p.createdDTS = 1453742532269,p.modifiedDTS = 1453742532269, p.size = line.Size, p.productID = line.ProductID;
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