I'm learning about neo4j and I have the following question.
I have two groups of nodes, the first one is called Workers who have an ID and the name of the worker.
On the other hand there is another group of nodes, called products, which apart from the id, has the following attributes; price, name.
I want to make a relationship called "manipulate" where I relate a worker to the product that he is going to manipulate.
For this I have a trabajaensector.csv file which relates the workers by id, along with the products they are going to manipulate, also by id.
This is its form:
id1,id2,sector
1,1,fruteria
2,2,fruteria
3,2,fruteria
4,7,panaderia
5,5,fruteria
6,5,fruteria
7,9,bebidas
8,9,bebidas
9,10,bebidas
10,10,bebidas
11,3,pescaderia
12,8,panaderia
13,7,panaderia
14,9,bebidas
15,10,bebidas
16,4,pescaderia
17,2,fruteria
18,4,pescaderia
In summary, id1 (worker) manipulates id2 (product) and its sector is "fruteria/pescaderia/panaderia o bebida"
This is my CQL for creating manipulate relationship:
LOAD CSV WITH HEADERS FROM "file:///trabajaensector.csv" AS csvLine
MATCH(w:Worker),(p:Product) where w.id= toInt(csvLine.id1) and p.id=
toInt(csvLine.id2) create (w)-[sect:trabajasec]->(p) return sect
Here is my problem, the relationship is apparently creating well, however I am losing that third "sector" data, which indicates the sector where the worker works by manipulating that product.
For example, the relationship for a worker named Juan who manipulates apples should have in the relation the variable / attribute "fruteria" or for fish "pescaderia".
Any idea of how to properly include that data in the relationship and how to recover it?
You can add a sector property to the trabajasec relationships:
LOAD CSV WITH HEADERS FROM "file:///trabajaensector.csv" AS csvLine
MATCH (w:Worker), (p:Product)
WHERE w.id = TOINT(csvLine.id1) AND p.id = TOINT(csvLine.id2)
CREATE (w)-[sect:trabajasec {sector: csvLine.sector}]->(p)
RETURN sect;
To use the above query, you should first delete the trabajasec relationships created by your earlier LOAD CSV query.
Related
I am loading simple csv data into neo4j. The data is simple as follows :-
uniqueId compound value category
ACT12_M_609 mesulfen 21 carbon
ACT12_M_609 MNAF 23 carbon
ACT12_M_609 nifluridide 20 suphate
ACT12_M_609 sulfur 23 carbon
I am loading the data from the URL using the following query -
LOAD CSV WITH HEADERS
FROM "url"
AS row
MERGE( t: Transaction { transactionId: row.uniqueId })
MERGE(c:Compound {name: row.compound})
MERGE (t)-[r:CONTAINS]->(c)
ON CREATE SET c.category= row.category
ON CREATE SET r.price =row.value
Next I do the aggregation to count total orders for a compound and create property for a node in the following way -
MATCH (c:Compound) <-[:CONTAINS]- (t:Transaction)
with c.name as name, count( distinct t.transactionId) as ord
set c.orders = ord
So far so good. I can accomplish what I want but I have the following 2 questions -
How can I create the orders property for compound node in the first step itself? .i.e. when I am loading the data I would like to perform the aggregation straight away.
For a compound node I am also setting the property for category. Theoretically, it can also be modelled as category -contains-> compound by creating Categorynode. But what advantage will I have if I do it? Because I can execute the queries and get the expected output without creating this additional node.
Thank you for your answer.
I don't think that's possible, LOAD CSV goes over one row at a time, so at row 1, it doesn't know how many more rows will follow.
I guess you could create virtual nodes and relationships, aggregate those and then use those to create the real nodes, but that would be way more complicated. Virtual Nodes/Rels
That depends on the questions/queries you want to ask.
A graph database is optimised for following relationships, so if you often do a query where the category is a criteria (e.g. MATCH (c: Category {category_id: 12})-[r]-(:Compound) ), it might be more performant to create a label for it.
If you just want to get the category in the results (e.g. RETURN compound.category), then it's fine as a property.
I'm very new to the Neo4j world so please forgive me if this is a trivial question. I have 2 tables I've loaded into the database using LOAD CSV
artists:
artist_name,artist_id
"Bob","abc"
"Jack","def"
"James","ghi"
"Someone","jkl"
"John","mno"
agency_list:
"Agency"
"A"
"B"
"C"
"D"
Finally, I have an intermediary table that has the artist and the agencies that represent them.
artist_agencies:
artist_name,artist_id,agency
"Bob","abc", "A"
"Bob","abc", "B"
"Jack","def", "C"
"James","ghi", "C"
"Someone","jkl","B"
"Someone","jkl", "C"
"John","mno", "D"
Notice some artists can be a part of multiple agencies (which is why I didn't include the agency variable in the Artist table)
I'm trying to get four agency nodes that connect to each artist based on a :REPRESENTS relationship. Basically something like:
(agency:Agency) - [:REPRESENTS] -> (artist:Artist)
The code I've tried is:
LOAD CSV WITH HEADERS FROM "file:///agency_list.csv" as agencies
CREATE (agency:Agency {agency: agencies.Agency})
USING PERIODIC COMMIT 1000
LOAD CSV WITH HEADERS FROM "file:///artists.csv" as artists
CREATE (artist:Artist {artist: artists.artist_name, artist_id: artists.artist_id})
USING PERIODIC COMMIT 1000
LOAD CSV WITH HEADERS FROM "file:///artist_agencies.csv" as line
CREATE (ag:Agency) - [:REPRESENTS] -> (ar:Artist {track_artist_uri:line.track_artist_uri})
So far I'm getting this, each blue node is a duplicate of an agency name. Rather than just having one single agency node that connects to all artists via the :REPRESENTS relationship. result
I guess my problem is that I don't know how to relate the artists table to the agency_list table via this intermediate artist_agencies table. Is there a better way to do this or am I on the right track?
Thanks!
Joey
The artist_agencies.csv query needs to find the appropriate Agency and Artist nodes before creating a relationship between them. For example:
USING PERIODIC COMMIT 1000
LOAD CSV WITH HEADERS FROM "file:///artist_agencies.csv" as line
MATCH (ag:Agency) WHERE ag.agency = line.agency
MATCH (ar:Artist) WHERE ar.artist_id = line.artist_id
CREATE (ag)-[:REPRESENTS]->(ar)
Aside: The artist_agencies.csv file does not need the artist_name column.
[UPDATE]
If the artist_agencies.csv data could cause duplicate relationships to be created, replace CREATE with (the more expensive) MERGE to avoid that. And make sure you do not have duplicate Agency or Artist nodes.
i'm trying to solve a problem of the 1: many relationship display in neo4j. My dataset is as below
child,desc,type,parent
1,PGD,Exchange,0
2,MSE 1,MSE,1
3,MSE 2,MSE,1
4,MSE 3,MSE,1
5,MSE 4,MSE,1
6,BRAS 1,BRAS,2
6,BRAS 1,BRAS,3
7,BRAS 2,BRAS,4
7,BRAS 2,BRAS,5
10,NPE 1,NPE,6
11,NPE 2,NPE,7
12,OLT,OLT,10
12,OLT,OLT,11
13,FDC,FDC,12
14,FDP,FDP,13
15,Cust 1,Customer,14
16,Cust 2,Customer,14
17,Cust 3,Customer,14
LOAD CSV WITH HEADERS FROM 'file:///FTTH_sample.csv' AS line
CREATE(:ftthsample
{child_id:line.child,
desc:line.desc,
type:line.type,
parent_id:line.parent});
//Relations
match (child:ftthsample),(parent:ftthsample)
where child.child_id=parent.parent_id
create (child)-[:test]->(parent)
//Query:
MATCH (child)-[childrel:test*]-(elem)-[parentrel:test*]->(parent)
WHERE elem.desc='FDP'
RETURN child,childrel,elem,parentrel
It returns a display as below.
I want the duplicate nodes to be displayed as one. Newbie with Neo4J. Can anyone of the experts help please?
This seems like an error in your graph creation query. You have a few lines in your query specifying the same node multiple times, but with multiple parents:
6,BRAS 1,BRAS,2
6,BRAS 1,BRAS,3
I'm guessing you actually want this to be a single node, with parent relationships to nodes with the given parent ids, instead of two separate nodes.
Let's adjust your import query. Instead of using a CREATE on each line, we'll use MERGE, and just on the child_id, which seems to be your primary key (maybe consider just using id instead, as a node can have an id on its own, without having to consider the context of whether it's a parent or child). We can use the ON CREATE clause after MERGE to add in the remaining properties only if the MERGE resulted in node creation (instead of matching to an existing node.
That will ensure we only have one node created per child_id.
Rather than having to rematch the child, we can use the child node we just created, match on the parent, and create the relationship.
LOAD CSV WITH HEADERS FROM 'file:///FTTH_sample.csv' AS line
MERGE(child:ftthsample {child_id:line.child})
ON CREATE SET
child.desc = line.desc,
child.type = line.type
WITH child, line.parent as parentId
MATCH (parent:ftthsample)
WHERE parent.child_id = parentId
MERGE (child)-[:test]->(parent)
Note that we haven't added line.parent as a property. It's not needed, since we only use that to create relationships, and after the relationships are there, we won't need those again.
I have a csv file generated with contents as follows
GOID GOName
GO:0007190 activation of adenylate cyclase activity
DiseaseID DiseaseName
D058490 46 XY Disorders of Sex Development
D000172 Acromegaly
D049913 ACTH-Secreting,Pituitary Adenoma
D058186 Acute Kidney Injury
D000310 Adrenal Gland Neoplasms
D000312 Adrenal Hyperplasia Congenital
C537045 Albright's hereditary osteodystrophy
D000544 Alzheimer Disease
D019969 Amphetamine-Related Disorders
D000855 Anorexia
D000860 Anoxia
D001008 Anxiety Disorders
D001169 Arthritis Experimental
D001171 Arthritis Juvenile
D001172 Arthritis Rheumatoid
D001249 Asthma
D001254 Astrocytoma
and so on.
I want to create link between GOIDs through Diseases such that one disease node is connected to two or more different GOID nodes.
My output should look like this
Load your diseases all at once as under a :Disease label.
Load all your Global data at once under a :Global label
Create another CSV file with the Global->Disease linkages, and use MERGE to create the relationships.
The relationship CSV would look like this:
goID,diseaseID
"GO:1234","D000456"
The command to read the CSV and create the relationships would look like this:
USING PERIODIC COMMIT 500
LOAD CSV WITH HEADERS FROM "file:/D:/Relationships.csv" as line
MERGE (:Global {goID: line.goID})-[:RELATIONSHIP]->(:Disease {diseaseID: line.diseaseID})
once your data is loaded, you can then query it like so:
MATCH (g:Global {goID: "GO:0007190"})-[r:RELATIONSHIP]->(d:Disease)
return g, r, d
For cases where a disease has multiple global conditions, you can find and create a relationship like so:
match (d:Disease)
match (go1:GO)-[:RELATIONSHIP]->(d)
match (go2:GO)-[:RELATIONSHIP]->(d) where go2 <> go1
create (go1)-[:RELATIONSHIP]->(go2)
create (go2)-[:RELATIONSHIP]->(go1)
Strictly speaking you don't need a bi-directional relationship, so creating the second relationship could be left out. One potential concern is if more than one disease links two global values. If that is a concern, then setting a "Disease" property on the relationship would help identify how these globals are related.
Neo4j 2.1.7
Attempting to mass-connect a bunch of nodes via information I've received in a CSV, which looks like:
person_id,book_id,relationship
111,AAA,OWNS
222,BBB,BORROWS
333,AAA,BORROWS
The nodes :Person and :Book used in this CSV were successfully loaded via LOAD CSV and CREATE statements, and already exist in the database. Now, I'd like to load this above CSV of relationships between :Person and :Book. The relationships are defined in the CSV itself.
LOAD CSV WITH HEADERS FROM "file:data.csv" AS row
MATCH (person:Person { personID: row.person_id })
MATCH (book:Book { bookID: row.book_id })
Sure, the next MERGE command works if I supply a specific name ([:OWNS], [:BORROWS], etc.) but as you can see, my relationships are supplied by the incoming data.
However, I'd like the relationship defined in MERGE to not be a "hard-coded" string, but come as data from the 3rd column of my CSV instead. Something along the lines of:
MERGE (person)-[row.relationship]->(book)
Is this even possible?
PS: I've tried the syntax above, and also -[:row.relationship]->, both to no avail (syntax errors)
I don't think it is possible with LOAD CSV. You need to do a little trickery with the input data and collections. If the relationship in the input csv contains OWNS create a collection with a one in it otherwise create an empty collection. Do the same for the BORROWS relationship value. It will be something like this...
...
case when row.relationship = "OWNS" then [1] else [] end as owns
case when row.relationship = "BORROWS" then [1] else [] end as borrows
foreach(x in owns | MERGE (person)-[:OWNS]->(book))
foreach(x in borrows | MERGE (person)-[:BORROWS]->(book))
...