Add Integer Number to existing Values - Neo4j - neo4j

Using Neo4j.
I would like to add a integer number to values already existing in properties of several relationships that I call this way:
MATCH x=(()-[y]->(s:SOL{PRB:"Taking time"})) SET y.points=+2
But it doesn't add anything, just replace by 2 the value I want to incremente.

To achieve this use
SET y.points = y.points + 2
From your original question it looks like you were trying to use the Addition Assignment operator which exists in lots of languages (e.g. python, type/javascript, C#, etc.). However, in cypher += is a little different and is designed to do this in a way which allows you to add or update properties to or on entire nodes or relationships based on a mapping.
If you had a parameter like the below (copy this into the neo4j browser to create a param).
:param someMapping: {a:1, b:2}
The query below would create a property b on the node with value 2, and set the value of property a on that node to 1.
MATCH (n:SomeLabel) WHERE n.a = 0
SET n+= $someMapping
RETURN n

Related

How to express multiple property set criteria for node selection using gremlin query

Here is my simplified graph schema,
package:
property:
- name: str (indexed)
- version: str (indexed)
I want to query the version using multiple set of property criteria within single query. I can use within for a list of single property, but how to do it for multiple properties?
Consider I have 10 package nodes, (p1,v1, p2,v2, p3,v3,.. p10,v10)
I want to select only nodes which has (p1 with v1, p8 with v8, p10 with v10)
Is there a way to do with single gremlin query?
Something equivalent to SELECT * from package WHERE (name, version) in ((p1,v1),(p8,v8),(p10,v10)).
It's always best to provide some sample data when asking questions about Gremlin. I assume that this is an approximation of what your model is:
g.addV('package').property('name','gremlin').property('version', '1.0').
addV('package').property('name','gremlin').property('version', '2.0').
addV('package').property('name','gremlin').property('version', '3.0').
addV('package').property('name','blueprints').property('version', '1.0').
addV('package').property('name','blueprints').property('version', '2.0').
addV('package').property('name','rexster').property('version', '1.0').
addV('package').property('name','rexster').property('version', '2.0').iterate()
I don't think that there is a way that you can compare pairs of inputs and expect an index hit. You therefore have to do what you normally do in graphs and choose the index to best narrow your results before you filter in memory. I would assume that in your case this would be the "name" property, therefore grab those first then filter the pairs:
gremlin> g.V().has('package','name', within('gremlin','blueprints')).
......1> elementMap().
......2> where(select('name','version').is(within([name:'gremlin',version:'2.0'], [name:'blueprints',version:'2.0'])))
==>[id:3,label:package,name:gremlin,version:2.0]
==>[id:12,label:package,name:blueprints,version:2.0]
this might not be the most "creative" way of doing that,
but I think that the easiest way would be to use or:
g.V().or(
hasLabel('v1').has('prop', 'p1'),
hasLabel('v8').has('prop', 'p8'),
hasLabel('v10').has('prop', 'p10')
)
example: https://gremlify.com/6s

Property values can only be of primitive types or arrays thereof in Neo4J Cypher query

I have the following params set:
:params "userId":"15229100-b20e-11e3-80d3-6150cb20a1b9",
"contextNames":[{"uid":"94e71bf0-1e7d-11e9-8f33-4f0c99ea0da1","name":"zhora"}],
"statements":[{"text":"oranges apples bananas","concepts":["orange","apple","banana"],
"mentions":[],"timestamp":15481867295710000,"name":"# banana","uid":"34232870-1e7f-11e9-8609-a7f6b478c007",
"uniqueconcepts":[{"name":"orange","suid":"34232870-1e7f-11e9-8609-a7f6b478c007","timestamp":15481867295710000},{"name":"apple","suid":"34232870-1e7f-11e9-8609-a7f6b478c007","timestamp":15481867295710000},{"name":"banana","suid":"34232870-1e7f-11e9-8609-a7f6b478c007","timestamp":15481867295710000}],"uniquementions":[]}],"timestamp":15481867295710000,"conceptsRelations":[{"from":"orange","to":"apple","context":"94e71bf0-1e7d-11e9-8f33-4f0c99ea0da1","statement":"34232870-1e7f-11e9-8609-a7f6b478c007","user":"15229100-b20e-11e3-80d3-6150cb20a1b9","timestamp":15481867295710000,"uid":"apoc.create.uuid()","gapscan":"2","weight":3},{"from":"apple","to":"banana","context":"94e71bf0-1e7d-11e9-8f33-4f0c99ea0da1","statement":"34232870-1e7f-11e9-8609-a7f6b478c007","user":"15229100-b20e-11e3-80d3-6150cb20a1b9","timestamp":15481867295710002,"uid":"apoc.create.uuid()","gapscan":"2","weight":3},{"from":"orange","to":"banana","context":"94e71bf0-1e7d-11e9-8f33-4f0c99ea0da1","statement":"34232870-1e7f-11e9-8609-a7f6b478c007","user":"15229100-b20e-11e3-80d3-6150cb20a1b9","timestamp":15481867295710002,"uid":"apoc.create.uuid()","gapscan":4,"weight":2}],"mentionsRelations":[]
Then when I make the following query:
MATCH (u:User {uid: $userId})
UNWIND $contextNames as contextName
MERGE (context:Context {name:contextName.name,by:u.uid,uid:contextName.uid})
ON CREATE SET context.timestamp=$timestamp
MERGE (context)-[:BY{timestamp:$timestamp}]->(u)
WITH u, context
UNWIND $statements as statement
CREATE (s:Statement {name:statement.name, text:statement.text, uid:statement.uid, timestamp:statement.timestamp})
CREATE (s)-[:BY {context:context.uid,timestamp:s.timestamp}]->(u)
CREATE (s)-[:IN {user:u.id,timestamp:s.timestamp}]->(context)
WITH u, s, context, statement
FOREACH (conceptName in statement.uniqueconcepts |
MERGE (c:Concept {name:conceptName}) ON CREATE SET c.uid=apoc.create.uuid()
CREATE (c)-[:BY {context:context.uid,timestamp:s.timestamp,statement:s.suid}]->(u)
CREATE (c)-[:OF {context:context.uid,user:u.uid,timestamp:s.timestamp}]->(s)
CREATE (c)-[:AT {user:u.uid,timestamp:s.timestamp,context:context.uid,statement:s.uid}]->(context) )
WITH u, s
UNWIND $conceptsRelations as conceptsRelation MATCH (c_from:Concept{name: conceptsRelation.from}) MATCH (c_to:Concept{name: conceptsRelation.to})
CREATE (c_from)-[:TO {context:conceptsRelation.context,statement:conceptsRelation.statement,user:u.uid,timestamp:conceptsRelation.timestamp, uid:apoc.create.uuid(), gapscan:conceptsRelation.gapscan, weight: conceptsRelation.weight}]->(c_to)
RETURN DISTINCT s.uid
But when I run it, I get this error:
Neo.ClientError.Statement.TypeError
Property values can only be of primitive types or arrays thereof
Anybody knows why it's coming up? My params seem to be set correctly, I didn't see they couldn't be used in this way... Thanks!
Looks like the problem is here:
...
FOREACH (conceptName in statement.uniqueconcepts |
MERGE (c:Concept {name:conceptName})
...
uniqueconcepts in your parameter is a list of objects, not a list of strings, so when attempting to MERGE conceptName, it errors out as conceptName isn't a primitive type (or array or primitive types). I think you'll want to use uniqueConcept instead of conceptName, and in your MERGE use name:uniqueConcept.name. Check for other usages of the elements of statement.uniqueconcepts.
This answer is for other n00bs like me that are trying to put a composite datatype into a property without reading the friendly manual, and get the error above. Google points here, so I felt appropriate to add this answer.
Specifically, I wanted to store a list [(datetime, event), ...] of tuples into a property of a relation.
Potential encountered errors are:
Neo.ClientError.Statement.TypeError: Property values can only be of primitive types or arrays thereof
Neo.ClientError.Statement.TypeError: Neo4j only supports a subset of Cypher types for storage as singleton or array properties. Please refer to section cypher/syntax/values of the manual for more details.
The bottom line is well summarized in this forum post by a Neo4j staff member:
Neo4j doesn't allow maps as properties (no sub-properties allowed, basically), and though lists are allowed as properties, they cannot be lists of maps (or lists of lists for that matter).
Basically I was trying to bypass the natural functionality of the DB. There seem to be 2 workarounds:
Dig your heels in as suggested here, and store the property as e.g. a JSON string
Rethink the design, and model these kind of properties into the graph (i.e. being more specific with the nodes)
After a little rethinking I came up with a much simpler data model that didn't require composite properties in relations. Although option 1 may have its uses, when we have to insist against a well-designed system (which neo4j is), that is usually an indicator that we should change course.
Andres

Reg: Neo4j display null values

I am new to Neo4j and graph databases. I am trying to create a simple graph DB, but my MATCH query is returning null values. How do I avoid nulls or any errors in my coding?
Create DB
CREATE
(d2:CorNode:course:dscor{Cors_Name:'DataScience_Sem2',Start_Date:'January2018',No_Students:[tointeger(10)]})-[:sem2dsrelation{Name:'Semester2',Cor_Name:'Data Science',A_Y:'AY2017-18',Cor_Node:'CMM534'}]->(Rob:FLNode:course:dscor{Name_F:'Rob Lothian', Role:'Leader',Mod_code:'CMM534'}),
(d2)-[:sem2dsrelation{Name:'Semester2', Cor_Name:'Data Science',A_Y:'AY2017-18',Cor_Node:'CMM534'}]->(Eyad:FLNode:course:dscor{Name_F:'Eyad Elyan',Role:'Leader',Mod_code:'CMM534'}),
(d2)-[:sem2dsrelation{Name:'Semester2', Cor_Name:'Data Science',A_Y:'AY2017-18',Cor_Node:'CMM507'}]->(David:FLNode:course:dscor{Name_F:'David Lonie', Role:'Leader', Mod_code:'CMM507'}),
(d2)-[:sem2dsrelation{Name:'Semester2',Cor_Name:'Data Science', A_Y:'AY2017-18',Cor_Node:'CMM535'}]->(Rob),
(d1:CorNode:course:dscor{Cors_Name:'DataScience_Sem1',Start_Date:'Septemer2017',No_Students:[tointeger(25)]})-[:sem1dsrelation{Name:'Semester1',Cor_Name:'Data Science',A_Y:'AY2017-18',Cor_Node:'CMM524'}]->(Rob),
(d1)-[:sem1dsrelation{Name:'Semester1', Cor_Name:'Data Science',A_Y:'AY2017-18',Cor_Node:'CMM531'}]->(Eyad),
(d1)-[:sem1dsrelation{Name:'Semester1', Cor_Name:'Data Science',A_Y:'AY2017-18',Cor_Node:'CMM510'}]->(Ines:FLNode:course:dscor{Name_F:'Ines Arana',Role:'Leader',Mod_code:'CMM510'})
Query DB
MATCH (:dscor)-[ds1:sem1dsrelation{Name:'Semester1',Cor_Name:'Data Science'}]-(FLNode:dscor)
RETURN DISTINCT [FLNode.Name_F,ds1.Cor_Node]
You basically have a typo. In (FLNode:dscor), "FLNode" is being used a a variable name instead of as a label.
To fix this, you need to assign a variable name (say, x) to the node, make sure FLNode is specified to be a label (by putting a : in front of it), and then use x in the result. Like so:
MATCH (:dscor)-[ds1:sem1dsrelation{Name:'Semester1',Cor_Name:'Data Science'}`]-(x:FLNode:dscor)
RETURN DISTINCT [x.Name_F,ds1.Cor_Node];

Neo4j 2.0 Merge with unique constraints performance bug?

Here's the situation:
I have a node that has a property ContactId which is set as unique and indexed. The node label is :Contact
(node:Contact {ContactId:1})
I have another node similar to that pattern for Address:
(node2:Address {AddressId:1})
I now try to add a new node that (among other properties, includes ContactId (for referencing))
(node3:ContactAddress {AddressId:1,ContactId:1})
When I run a merge command for each, the time for adding a node that contains a property that is set as unique in another node type seems to make the process much slower.
The ContactAddress node only contains relational properties between the Contact and Address nodes. Contact and Address nodes contain up to 10 properties each. Is this a bug, where Neo4j is check the property key -> value -> then node label?
Code and screenshot below:
string strForEach = string.Format("(n in {{{0}}} |
MERGE (c:{1} {{{2} : n.{2}}}) SET c = n)", propKey, label, PK_Field);
var query = client
.Cypher
.ForEach(strForEach)
.WithParam(propKey, entities.ToList());
Constraint checks are more expensive than just inserts. They also take a global lock on the constraint to prevent multiple insertion.
I saw you don't use parameters, but string substitiution, I really recommend to change that and go with parameters.
Also setting the whole node c to n triggers constraint check again.
Your probably want to use the ON CREATE SET clause of MERGE
(n in {nodes} |
MERGE (c:Label {key : n.key}}) ON CREATE SET c.foo = n.foo, c.bar = n.bar )

Querying array element in node property

I have nodes within a the graph with property pathway storing an array of of values ranging from
path:ko00030
path:ko00010
.
.
path:koXXXXX
As an example, (i'm going to post in the batch import format:https://github.com/jexp/batch-import/tree/20)
ko:string:koid name definition l:label pathway:string_array pathway.name:string_array
ko:K00001 E1.1.1.1, adh alcohol dehydrogenase [EC:1.1.1.1] ko path:ko00010|path:ko00071|path:ko00350|path:ko00625|path:ko00626|path:ko00641|path:ko00830
the subsequent nodes might have a different combination of pathway values.
How do i query using CYPHER to retrieve all nodes with path:ko00010 in pathway
the closest i've gotten is using the solution provided for a different problem:
How to check array property in neo4j?
match (n:ko)--cpd
Where has(n.pathway) and all ( m in n.pathway where m in ["path:ko00010"])
return n,cpd;
but here only nodes with pathways matching exactly to the list provided are returned.
ie. if i were to query path:ko00010 like in the example above, I'll only be able to retrieve nodes holding path:ko00010 as the only element in the pathway property and not nodes containing path:ko00010 as well as other path:koXXXXX
In your query the extension of the predicate ALL is all the values in the property array, meaning that your query will only return those cases where every value in the pathway property array are found in the literal array ["path:ko00010"]. If I understand you right you want the opposite, you want to test that all values in the literal array ["path:ko00010"] are found in the property array pathway. If that's indeed what you want you can just switch their places, your WHERE clause will then be
WHERE HAS(n.pathway) AND ALL (m IN ["path:ko00010"] WHERE m IN n.pathway)
It is not strictly correct to say that your query only matches cases where the array you ask for and the property array are exactly the same. You could have had more than one value in the literal array, something like ["path:ko00010","path:ko00020"], and nodes with only one one of those values in their pathway array would also have matched–as long as all values in the property array could be found in the literal array. Conversely, with the altered WHERE filter that I've suggested, the query will match any node that has all of the values of the literal array in their pathway property.
If you want to filter the matched patterns with an array of values where all of them have to be present, this is good. In your example you only use one value, however, and for those queries there is no reason to use an array and the ALL predicate. You can simply do
WHERE HAS(n.pathway) and "path:ko00010" IN n.pathway
If in some context you want to include results where any of a set of values are found in the pathway property array you can just switch from ALL to ANY
WHERE HAS(n.pathway) AND ANY (m IN ["path:ko00010","path:ko00020"] WHERE m IN n.pathway)
Also, you probably don't need to check for the presence of the pathway property, unless you have some special use for it you should be fine without the HAS(n.pathway).
And once you've got the queries working right, try to switch out literal strings and arrays for parameters!
WHERE {value} IN n.pathway
// or
WHERE ALL (m IN {value_array} WHERE m IN n.pathway)
// or
WHERE ANY (m IN {value_array} WHERE m IN n.pathway)

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