apoc.export.xls.data

Procedure APOC Full

apoc.export.xls.data(nodes,rels,file,config) - exports given nodes and relationships as xls to the provided file

Signature

apoc.export.xls.data(nodes :: LIST? OF NODE?, rels :: LIST? OF RELATIONSHIP?, file :: STRING?, config :: MAP?) :: (file :: STRING?, source :: STRING?, format :: STRING?, nodes :: INTEGER?, relationships :: INTEGER?, properties :: INTEGER?, time :: INTEGER?, rows :: INTEGER?, batchSize :: INTEGER?, batches :: INTEGER?, done :: BOOLEAN?, data :: STRING?)

Input parameters

Name Type Default

nodes

LIST? OF NODE?

null

rels

LIST? OF RELATIONSHIP?

null

file

STRING?

null

config

MAP?

null

Output parameters

Name Type

file

STRING?

source

STRING?

format

STRING?

nodes

INTEGER?

relationships

INTEGER?

properties

INTEGER?

time

INTEGER?

rows

INTEGER?

batchSize

INTEGER?

batches

INTEGER?

done

BOOLEAN?

data

STRING?

Install Dependencies

The XLS procedures have dependencies on libraries that are not included in the APOC Library.

These dependencies are included in apoc-xls-dependencies-4.3.0.1.jar, which can be downloaded from the releases page. Once that file is downloaded, it should be placed in the plugins directory and the Neo4j Server restarted.

Usage Examples

The examples in this section are based on the following sample graph:

CREATE (TheMatrix:Movie {title:'The Matrix', released:1999, tagline:'Welcome to the Real World'})
CREATE (Keanu:Person {name:'Keanu Reeves', born:1964})
CREATE (Carrie:Person {name:'Carrie-Anne Moss', born:1967})
CREATE (Laurence:Person {name:'Laurence Fishburne', born:1961})
CREATE (Hugo:Person {name:'Hugo Weaving', born:1960})
CREATE (LillyW:Person {name:'Lilly Wachowski', born:1967})
CREATE (LanaW:Person {name:'Lana Wachowski', born:1965})
CREATE (JoelS:Person {name:'Joel Silver', born:1952})
CREATE
(Keanu)-[:ACTED_IN {roles:['Neo']}]->(TheMatrix),
(Carrie)-[:ACTED_IN {roles:['Trinity']}]->(TheMatrix),
(Laurence)-[:ACTED_IN {roles:['Morpheus']}]->(TheMatrix),
(Hugo)-[:ACTED_IN {roles:['Agent Smith']}]->(TheMatrix),
(LillyW)-[:DIRECTED]->(TheMatrix),
(LanaW)-[:DIRECTED]->(TheMatrix),
(JoelS)-[:PRODUCED]->(TheMatrix);

The Neo4j Browser visualization below shows the imported graph:

play movies

The apoc.export.xls.data procedure exports the specified nodes and relationships to a XLS file.

The following query exports all nodes with the :Person label with a name property that starts with L to the file movies-l.csv:

MATCH (person:Person)
WHERE person.name STARTS WITH "L"
WITH collect(person) AS people
CALL apoc.export.xls.data(people, [], "movies-l.xls", {})
YIELD file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data
RETURN file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data;
Table 1. Results
file source format nodes relationships properties time rows batchSize batches done data

"movies-l.xls"

"data: nodes(3), rels(0)"

"xls"

3

0

6

10

3

20000

1

TRUE

NULL

movies-l.xls contains individual sheets for each node label and relationship type. In this case it contains a Person sheet.

We can query the contents of those sheets using apoc.load.xls. Let’s have a look at the Person sheet:

CALL apoc.load.xls("file://movies-l.xls", "Person");
Table 2. Results
lineNo list map

0

[3, 1961, "Laurence Fishburne"]

{name: "Laurence Fishburne", <nodeId>: 3, born: 1961}

1

[5, 1967, "Lilly Wachowski"]

{name: "Lilly Wachowski", <nodeId>: 5, born: 1967}

2

[6, 1965, "Lana Wachowski"]

{name: "Lana Wachowski", <nodeId>: 6, born: 1965}