2016-01-22 238 views
0

我想加载一个CSV文件到我的Neo4j数据库托管在GrapheneDB上。它在5000行的第一个文件上工作得很好。大约需要16秒来完成这个文件。neo4j加载CSV很慢

我现在使用相同的模式和相同数量的行导入第二个文件。数据是不同的。 Cypher查询已运行超过30分钟,但仍未完成。我不确定它在做什么,为什么它如此缓慢。这里是我的暗号:

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; 

对于从我的CSV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:

我加入了基于关闭妮可响应以下指标。

  1. CREATE INDEX ON:客户(的customerID)
  2. CREATE INDEX ON:部门(名称)
  3. CREATE INDEX ON:ProductType(名称)
  4. CREATE INDEX ON:样式(名称)
  5. CREATE INDEX ON:产品(productNum)

这样做有很多帮助,但对于5K行仍需要大约20秒。这是正常的吗?

任何帮助表示赞赏。

更新2:基于

断从@迈克尔反应,我研究远一点,发现下面的文章是非常有用的:

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

更新3:

我已将我的密码更新为以下内容以避免重复。我希望这看起来正确吗?

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; 
+0

你有任何索引? –

+0

不可以。我如何添加索引? –

+0

我不确定我应该在哪些节点上添加索引。你能建议一些基于密码的? –

回答

0

您也可以将其设置为本地,以便您可以使用其他方法。然后将其上传到石墨烯数据库?