addNodeLabel
Add labels to nodes in Neo4j database
Description
Examples
Add One Node Label
Add one node label to a single node in a Neo4j® database and access the node.
Create a Neo4j database connection using the URL http://localhost:7474/db/data
, user name neo4j
, and password matlab
.
url = 'http://localhost:7474/db/data'; username = 'neo4j'; password = 'matlab'; neo4jconn = neo4j(url,username,password);
Check the Message
property of the Neo4j connection object neo4jconn
. The blank Message
property indicates a successful connection.
neo4jconn.Message
ans = []
Retrieve the first node in the table of node information. This node has the label Person
.
nlabel = "Person";
nodeinfo = searchNode(neo4jconn,nlabel);
node = nodeinfo.NodeObject(1);
Add one node label to a single node in the database using the Neo4j database connection.
labels = "Analyst";
addNodeLabel(neo4jconn,node,labels)
Display the node labels for the updated node. The NodeLabels
property contains two labels.
nodeinfo = searchNode(neo4jconn,labels); nodeinfo.NodeLabels
ans = 2×1 cell array
{'Person' }
{'Analyst'}
Close the database connection.
close(neo4jconn)
Add Multiple Node Labels and Return Output
Add node labels to multiple nodes in a Neo4j® database. Access the updated node information using an output argument.
Create a Neo4j database connection using the URL http://localhost:7474/db/data
, user name neo4j
, and password matlab
.
url = 'http://localhost:7474/db/data'; username = 'neo4j'; password = 'matlab'; neo4jconn = neo4j(url,username,password);
Check the Message
property of the Neo4j connection object neo4jconn
. The blank Message
property indicates a successful connection.
neo4jconn.Message
ans = []
Find nodes with the label Person
, and display the node labels.
nlabel = "Person";
nodeinfo = searchNode(neo4jconn,nlabel);
nodeinfo.NodeLabels
ans = 7×1 cell array
{'Person'}
{'Person'}
{'Person'}
{'Person'}
{'Person'}
{'Person'}
{'Person'}
Add multiple node labels to the nodes in the database using the Neo4j database connection. The nodeinfo
output argument is a Neo4jNode
object.
node = nodeinfo.NodeObject; labels = ["Analyst" "Scientist"]; nodeinfo = addNodeLabel(neo4jconn,node,labels);
Display the node information for the updated nodes. Each node has three node labels (Person
, Analyst
, and Scientist
).
nodeinfo.NodeLabels
ans = 7×1 cell array
{3×1 cell}
{3×1 cell}
{3×1 cell}
{3×1 cell}
{3×1 cell}
{3×1 cell}
{3×1 cell}
Close the database connection.
close(neo4jconn)
Input Arguments
neo4jconn
— Neo4j database connection
Neo4jConnect
object
Neo4j database connection, specified as a Neo4jConnect
object created with the function neo4j
.
node
— Node
Neo4jNode
object | Neo4jNode
object array | numeric scalar | numeric vector
Node in a Neo4j database, specified as a Neo4jNode
object, Neo4jNode
object array, numeric scalar,
or a numeric vector. For one node, specify a Neo4jNode
object or a
numeric scalar. For multiple nodes, specify a Neo4jNode
object array or
a numeric vector.
The numeric scalar or vector must contain Neo4j database node identifiers.
Example: 15
Example: [2,3,4]
labels
— Node labels
character vector | cell array of character vectors | string scalar | string array
Node labels, specified as a character vector, cell array of character vectors, string scalar, or string array. To specify one node label, use a character vector or string scalar. For multiple node labels, use a cell array of character vectors or a string array.
Example: "Person"
Data Types: char
| string
| cell
Output Arguments
nodeinfo
— Node information
Neo4jNode
object | table
Node information in the Neo4j database, returned as a Neo4jNode
object for one node or as a table for multiple nodes.
For multiple nodes, the table contains these variables:
NodeLabels
— Cell array of character vectors that contains the node labels for each database nodeNodeData
— Cell array of structures that contains node information such as property keysNodeObject
—Neo4jNode
object for each database node
The row names of the table are Neo4j node identifiers of each database node.
Version History
Introduced in R2019a
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