Export to GraphML

The export GraphML procedures export data into a format that’s used by other tools like Gephi and CytoScape to read graph data.

All Point or Temporal data types are exported formatted as a STRING.

e.g:

Point 3d

{"crs":"wgs-84-3d","latitude":56.7,"longitude":12.78,"height":100.0}

Point 2d

{"crs":"wgs-84-3d","latitude":56.7,"longitude":12.78,"height":null}

Date

2018-10-10

LocalDateTime

2018-10-10T00:00

Note that, to perform a correct Point serialization, it is not recommended to export a point with coordinates x,y and crs: 'wgs-84', for example point({x: 56.7, y: 12.78, crs: 'wgs-84'}). Otherwise, the point will be exported with longitude and latitude (and heigth) instead of x and y (and z)

Available Procedures

The table below describes the available procedures:

Qualified Name Type

apoc.export.graphml.all
apoc.export.graphml.all(file STRING, config MAP<STRING, ANY>) - exports the full database to the provided GraphML file.

Procedure

apoc.export.graphml.data
apoc.export.graphml.data(nodes LIST<NODE>, rels LIST<RELATIONSHIP>, file STRING, config MAP<STRING, ANY>) - exports the given NODE and RELATIONSHIP values to the provided GraphML file.

Procedure

apoc.export.graphml.graph
apoc.export.graphml.graph(graph MAP<STRING, ANY>, file STRING, config MAP<STRING, ANY>) - exports the given graph to the provided GraphML file.

Procedure

apoc.export.graphml.query
apoc.export.graphml.query(statement STRING, file STRING, config MAP<STRING, ANY>) - exports the given NODE and RELATIONSHIP values from the Cypher statement to the provided GraphML file.

Procedure

The labels exported are ordered alphabetically. The output of labels() function is not sorted, use it in combination with apoc.coll.sort().

Configuration parameters

The procedures support the following config parameters:

Table 1. configuration options
param default description

format

gephi

In export to Graphml script define the export format. Possible value are: "gephi" and "tinkerpop"

caption

It’s an array of string (i.e. ['name','title']) that define an ordered set of properties eligible as value for the Label value, if no match is found the there is a fallback to the node label, if the node label is missing the then the ID is used

useTypes

false

Write the attribute type information to the graphml output

batchSize

20000

define the batch size

delim

","

define the delimiter character (export csv)

arrayDelim

";"

define the delimiter character for arrays (used in the bulk import)

useTypes

false

add type on file header (export csv and graphml export)

storeNodeIds

false

set nodes' ids (import/export graphml)

readLabels

false

read nodes' labels (import/export graphml)

defaultRelationshipType

"RELATED"

set relationship type (import/export graphml)

separateFiles

false

export results in separated file by type (nodes, relationships..)

stream

false

stream the xml directly to the client into the data field

useTypes

false

Write the attribute type information to the graphml output

source

Empty map

To be used together with target to import (via apoc.import.graphml) a relationships-only file. In this case the source and target attributes of edge tag are not based on an internal id of nodes but on a custom property value.
For example, with a path like (:Foo {name: "aaa"})-[:KNOWS]→(:Bar {age: 666}), we can export the KNOWS rel with a config <edge id="e2" source="aaa" sourceType="string" target="666" targetType="long" label="KNOWS"><data key="label">KNOWS</data><data key="id">1</data></edge>. Note the additional sourceType/targetType to detect the right type during the import.

target

Empty map

Same as source, for end node.

Exporting to a file

By default exporting to the file system is disabled. We can enable it by setting the following property in apoc.conf:

apoc.conf
apoc.export.file.enabled=true

For more information about accessing apoc.conf, see the chapter on Configuration Options.

If we try to use any of the export procedures without having first set this property, we’ll get the following error message:

Failed to invoke procedure: Caused by: java.lang.RuntimeException: Export to files not enabled, please set apoc.export.file.enabled=true in your apoc.conf. Otherwise, if you are running in a cloud environment without filesystem access, use the {stream:true} config and null as a 'file' parameter to stream the export back to your client.

Export files are written to the import directory, which is defined by the server.directories.import property. This means that any file path that we provide is relative to this directory. If we try to write to an absolute path, such as /tmp/filename, we’ll get an error message similar to the following one:

Failed to invoke procedure: Caused by: java.io.FileNotFoundException: /path/to/neo4j/import/tmp/fileName (No such file or directory)

We can enable writing to anywhere on the file system by setting the following property in apoc.conf:

apoc.conf
apoc.import.file.use_neo4j_config=false

Neo4j will now be able to write anywhere on the file system, so be sure that this is your intention before setting this property.

Exporting a stream

If we don’t want to export to a file, we can stream results back in the data column instead by passing a file name of null and providing the stream:true config.

Examples

This section includes examples showing how to use the export to Cypher procedures. These examples are based on a movies dataset, which can be imported by running the following Cypher query:

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
Figure 1. Movies Graph Visualization

Round trip separated GraphML files

With this dataset:

CREATE (f:Foo:Foo2:Foo0 {name:'foo', born:Date('2018-10-10'), place:point({ longitude: 56.7, latitude: 12.78, height: 100 })})-[:KNOWS]->(b:Bar {name:'bar',age:42, place:point({ longitude: 56.7, latitude: 12.78})});
CREATE (:Foo {name: 'zzz'})-[:KNOWS]->(:Bar {age: 0});
CREATE (:Foo {name: 'aaa'})-[:KNOWS {id: 1}]->(:Bar {age: 666});

we can execute these 3 export queries:

// Foo nodes
call apoc.export.graphml.query('MATCH (start:Foo)-[:KNOWS]->(:Bar) RETURN start', 'queryNodesFoo.graphml', {useTypes: true});

// Bar nodes
call apoc.export.graphml.query('MATCH (:Foo)-[:KNOWS]->(end:Bar) RETURN end', 'queryNodesBar.graphml', {useTypes: true});

// KNOWS rels
MATCH (:Foo)-[rel:KNOWS]->(:Bar)
WITH collect(rel) as rels
call apoc.export.graphml.data([], rels, 'queryRelationship.graphml', {useTypes: true})
YIELD nodes, relationships RETURN nodes, relationships;

In this case we will have these 3 files: .queryNodesFoo.graphml

<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born" attr.type="string"/>
<key id="name" for="node" attr.name="name" attr.type="string"/>
<key id="place" for="node" attr.name="place" attr.type="string"/>
<key id="labels" for="node" attr.name="labels" attr.type="string"/>
<graph id="G" edgedefault="directed">
<node id="n0" labels=":Foo:Foo0:Foo2"><data key="labels">:Foo:Foo0:Foo2</data><data key="born">2018-10-10</data><data key="name">foo</data><data key="place">{"crs":"wgs-84-3d","latitude":12.78,"longitude":56.7,"height":100.0}</data></node>
<node id="n3" labels=":Foo"><data key="labels">:Foo</data><data key="name">zzz</data></node>
<node id="n5" labels=":Foo"><data key="labels">:Foo</data><data key="name">aaa</data></node>
</graph>
</graphml>
queryNodesBar.graphml
<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="name" for="node" attr.name="name" attr.type="string"/>
<key id="place" for="node" attr.name="place" attr.type="string"/>
<key id="age" for="node" attr.name="age" attr.type="long"/>
<key id="labels" for="node" attr.name="labels" attr.type="string"/>
<graph id="G" edgedefault="directed">
<node id="n1" labels=":Bar"><data key="labels">:Bar</data><data key="name">bar</data><data key="age">42</data><data key="place">{"crs":"wgs-84","latitude":12.78,"longitude":56.7,"height":null}</data></node>
<node id="n4" labels=":Bar"><data key="labels">:Bar</data><data key="age">0</data></node>
<node id="n6" labels=":Bar"><data key="labels">:Bar</data><data key="age">666</data></node>
</graph>
</graphml>
queryRelationship.graphml
<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="label" for="edge" attr.name="label" attr.type="string"/>
<key id="id" for="edge" attr.name="id" attr.type="long"/>
<graph id="G" edgedefault="directed">
<edge id="e0" source="n0" target="n1" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e1" source="n3" target="n4" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e2" source="n5" target="n6" label="KNOWS"><data key="label">KNOWS</data><data key="id">1</data></edge>
</graph>
</graphml>

So we can import, in another db, in this way, to recreate the original dataset, using these queries:

CALL apoc.import.graphml('queryNodesFoo.graphml', {readLabels: true, storeNodeIds: true});
CALL apoc.import.graphml('queryNodesBar.graphml', {readLabels: true, storeNodeIds: true});
CALL apoc.import.graphml('queryRelationship.graphml', {readLabels: true, source: {label: 'Foo'}, target: {label: 'Bar'}});

Note that we have to execute the import of nodes before, and we used the useTypes: true to import the attribute id of node tags as a property and readLabels to populate nodes with labels.

With custom property key

Otherwise, we can leverage a custom property and avoid importing the id attribute (via useTypes:true) in this way (same dataset and nodes export query as before):

// KNOWS rels
MATCH (:Foo)-[rel:KNOWS]->(:Bar)
WITH collect(rel) as rels
call apoc.export.graphml.data([], rels, 'queryRelationship.graphml',
  {useTypes: true, source: {id: 'name'}, label: {id: 'age'}})
YIELD nodes, relationships RETURN nodes, relationships;

Is strongly recommended using an unique constraint to ensure uniqueness, so in this case for label Foo and property name and for label Bar and property age

The above query generate this rel file:

queryRelationship.graphml
<?xml version='1.0' encoding='UTF-8'?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="label" for="edge" attr.name="label" attr.type="string"/>
<key id="id" for="edge" attr.name="id" attr.type="long"/>
<graph id="G" edgedefault="directed">
<edge id="e0" source="foo" sourceType="string" target="42" targetType="long" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e1" source="zzz" sourceType="string" target="0" targetType="long" label="KNOWS"><data key="label">KNOWS</data></edge>
<edge id="e2" source="aaa" sourceType="string" target="666" targetType="long" label="KNOWS"><data key="label">KNOWS</data><data key="id">1</data></edge>
</graph>
</graphml>

Finally, we can import the files using the same id (name and age) as above:

CALL apoc.import.graphml('queryNodesFoo.graphml', {readLabels: true});
CALL apoc.import.graphml('queryNodesBar.graphml', {readLabels: true});
CALL apoc.import.graphml('queryRelationship.graphml',
  {readLabels: true, source: {label: 'Foo', id: 'name'}, target: {label: 'Bar', id: 'age'}});

Export whole database to GraphML

The apoc.export.graphml.all procedure exports the whole database to a GraphML file or as a stream.

The following query exports the whole database to the file movies.graphml
CALL apoc.export.graphml.all("movies.graphml", {})
Table 2. Results
file source format nodes relationships properties time rows batchSize batches done data

"movies.graphml"

"database: nodes(8), rels(7)"

"graphml"

8

7

21

4

15

-1

0

TRUE

NULL
movies.graphml
<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="tagline" for="node" attr.name="tagline"/>
<key id="label" for="node" attr.name="label"/>
<key id="title" for="node" attr.name="title"/>
<key id="released" for="node" attr.name="released"/>
<key id="roles" for="edge" attr.name="roles"/>
<key id="label" for="edge" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n188" labels=":Movie"><data key="labels">:Movie</data><data key="title">The Matrix</data><data key="tagline">Welcome to the Real World</data><data key="released">1999</data></node>
<node id="n189" labels=":Person"><data key="labels">:Person</data><data key="born">1964</data><data key="name">Keanu Reeves</data></node>
<node id="n190" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Carrie-Anne Moss</data></node>
<node id="n191" labels=":Person"><data key="labels">:Person</data><data key="born">1961</data><data key="name">Laurence Fishburne</data></node>
<node id="n192" labels=":Person"><data key="labels">:Person</data><data key="born">1960</data><data key="name">Hugo Weaving</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
<node id="n195" labels=":Person"><data key="labels">:Person</data><data key="born">1952</data><data key="name">Joel Silver</data></node>
<edge id="e267" source="n189" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Neo"]</data></edge>
<edge id="e268" source="n190" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Trinity"]</data></edge>
<edge id="e269" source="n191" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Morpheus"]</data></edge>
<edge id="e270" source="n192" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Agent Smith"]</data></edge>
<edge id="e271" source="n193" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e272" source="n194" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e273" source="n195" target="n188" label="PRODUCED"><data key="label">PRODUCED</data></edge>
</graph>
</graphml>
The following query returns a stream of the whole database in the data column
CALL apoc.export.graphml.all(null, {stream:true})
YIELD file, nodes, relationships, properties, data
RETURN file, nodes, relationships, properties, data;
Table 3. Results
file nodes relationships properties data

NULL

8

7

21

 
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>
 <graphml xmlns="\"http://graphml.graphdrawing.org/xmlns\""
          xmlns:xsi="\"http://www.w3.org/2001/XMLSchema-instance\""
          xsi:schemaLocation="\"http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd\"">
   <key id="\"born\"" for="\"node\"" attr.name="\"born\""/>
   <key id="\"name\"" for="\"node\"" attr.name="\"name\""/>
   <key id="\"tagline\"" for="\"node\"" attr.name="\"tagline\""/>
   <key id="\"label\"" for="\"node\"" attr.name="\"label\""/>
   <key id="\"title\"" for="\"node\"" attr.name="\"title\""/>
   <key id="\"released\"" for="\"node\"" attr.name="\"released\""/>
   <key id="\"roles\"" for="\"edge\"" attr.name="\"roles\""/>
   <key id="\"label\"" for="\"edge\"" attr.name="\"label\""/>
   <graph id="\"G\"" edgedefault="\"directed\"">
     <node id="\"n188\"" labels="\":Movie\"">
       <data key="\"labels\"">:Movie</data>
       <data key="\"title\"">The Matrix</data>
       <data key="\"tagline\"">Welcome to the Real World</data>
       <data key="\"released\"">1999</data>
     </node>
     <node id="\"n189\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1964</data>
       <data key="\"name\"">Keanu Reeves</data>
     </node>
     <node id="\"n190\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Carrie-Anne Moss</data>
     </node>
     <node id="\"n191\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1961</data>
       <data key="\"name\"">Laurence Fishburne</data>
     </node>
     <node id="\"n192\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1960</data>
       <data key="\"name\"">Hugo Weaving</data>
     </node>
     <node id="\"n193\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Lilly Wachowski</data>
     </node>
     <node id="\"n194\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1965</data>
       <data key="\"name\"">Lana Wachowski</data>
     </node>
     <node id="\"n195\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1952</data>
       <data key="\"name\"">Joel Silver</data>
     </node>
     <edge id="\"e267\"" source="\"n189\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Neo\"]</data>
     </edge>
     <edge id="\"e268\"" source="\"n190\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Trinity\"]</data>
     </edge>
     <edge id="\"e269\"" source="\"n191\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Morpheus\"]</data>
     </edge>
     <edge id="\"e270\"" source="\"n192\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Agent Smith\"]</data>
     </edge>
     <edge id="\"e271\"" source="\"n193\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e272\"" source="\"n194\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e273\"" source="\"n195\"" target="\"n188\"" label="\"PRODUCED\"">
       <data key="\"label\"">PRODUCED</data>
     </edge>
   </graph>
 </graphml>
  "

Export specified nodes and relationships to GraphML

The apoc.export.graphml.data procedure exports the specified nodes and relationships to a CSV file or as a stream.

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.graphml.data(people, [], "movies-l.graphml", {})
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 4. Results
file source format nodes relationships properties time rows batchSize batches done data

"movies-l.csv"

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

"csv"

3

0

6

2

3

20000

1

TRUE

NULL
movies-l.graphml
<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="label" for="node" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n191" labels=":Person"><data key="labels">:Person</data><data key="born">1961</data><data key="name">Laurence Fishburne</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
</graph>
</graphml>
The following query returns a stream of all ACTED_IN relationships and the nodes with Person and Movie labels on either side of that relationship in the data column
MATCH (person:Person)-[actedIn:ACTED_IN]->(movie:Movie)
WITH collect(DISTINCT person) AS people, collect(DISTINCT movie) AS movies, collect(actedIn) AS actedInRels
CALL apoc.export.graphml.data(people + movies, actedInRels, null, {stream: true})
YIELD file, nodes, relationships, properties, data
RETURN file, nodes, relationships, properties, data;
Table 5. Results
file nodes relationships properties data

NULL

5

4

15

 
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>
 <graphml xmlns="\"http://graphml.graphdrawing.org/xmlns\""
          xmlns:xsi="\"http://www.w3.org/2001/XMLSchema-instance\""
 xsi:schemaLocation="\"http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd\"">
   <key id="\"born\"" for="\"node\"" attr.name="\"born\""/>
   <key id="\"name\"" for="\"node\"" attr.name="\"name\""/>
   <key id="\"tagline\"" for="\"node\"" attr.name="\"tagline\""/>
   <key id="\"label\"" for="\"node\"" attr.name="\"label\""/>
   <key id="\"title\"" for="\"node\"" attr.name="\"title\""/>
   <key id="\"released\"" for="\"node\"" attr.name="\"released\""/>
   <key id="\"roles\"" for="\"edge\"" attr.name="\"roles\""/>
   <key id="\"label\"" for="\"edge\"" attr.name="\"label\""/>
   <graph id="\"G\"" edgedefault="\"directed\"">
     <node id="\"n188\"" labels="\":Movie\"">
       <data key="\"labels\"">:Movie</data>
       <data key="\"title\"">The Matrix</data>
       <data key="\"tagline\"">Welcome to the Real World</data>
       <data key="\"released\"">1999</data>
     </node>
     <node id="\"n189\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1964</data>
       <data key="\"name\"">Keanu Reeves</data>
     </node>
     <node id="\"n190\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Carrie-Anne Moss</data>
     </node>
     <node id="\"n191\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1961</data>
       <data key="\"name\"">Laurence Fishburne</data>
     </node>
     <node id="\"n192\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1960</data>
       <data key="\"name\"">Hugo Weaving</data>
     </node>
     <node id="\"n193\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Lilly Wachowski</data>
     </node>
     <node id="\"n194\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1965</data>
       <data key="\"name\"">Lana Wachowski</data>
     </node>
     <node id="\"n195\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1952</data>
       <data key="\"name\"">Joel Silver</data>
     </node>
     <edge id="\"e267\"" source="\"n189\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Neo\"]</data>
     </edge>
     <edge id="\"e268\"" source="\"n190\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Trinity\"]</data>
     </edge>
     <edge id="\"e269\"" source="\"n191\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Morpheus\"]</data>
     </edge>
     <edge id="\"e270\"" source="\"n192\"" target="\"n188\"" label="\"ACTED_IN\"">
       <data key="\"label\"">ACTED_IN</data>
       <data key="\"roles\"">[\"Agent Smith\"]</data>
     </edge>
     <edge id="\"e271\"" source="\"n193\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e272\"" source="\"n194\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e273\"" source="\"n195\"" target="\"n188\"" label="\"PRODUCED\"">
       <data key="\"label\"">PRODUCED</data>
     </edge>
   </graph>
 </graphml>"

Export results of Cypher query to GraphML

The apoc.export.graphml.query procedure exports the results of a Cypher query to a CSV file or as a stream.

The following query exports all DIRECTED relationships and the nodes with Person and Movie labels on either side of that relationship to the file movies-directed.graphml
WITH "MATCH path = (person:Person)-[directed:DIRECTED]->(movie)
      RETURN person, directed, movie" AS query
CALL apoc.export.graphml.query(query, "movies-directed.graphml", {})
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 6. Results
file source format nodes relationships properties time rows batchSize batches done data

"movies-directed.graphml"

"statement: nodes(3), rels(2)"

"graphml"

3

2

7

2

5

-1

0

TRUE

NULL

The contents of movies-directed.csv are shown below:

movies-directed.graphml
<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="tagline" for="node" attr.name="tagline"/>
<key id="label" for="node" attr.name="label"/>
<key id="title" for="node" attr.name="title"/>
<key id="released" for="node" attr.name="released"/>
<key id="label" for="edge" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n188" labels=":Movie"><data key="labels">:Movie</data><data key="title">The Matrix</data><data key="tagline">Welcome to the Real World</data><data key="released">1999</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
<edge id="e271" source="n193" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e272" source="n194" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
</graph>
</graphml>
The following query returns a stream of all DIRECTED relationships and the nodes with Person and Movie labels on either side of that relationship
WITH "MATCH path = (person:Person)-[directed:DIRECTED]->(movie)
      RETURN person, directed, movie" AS query
CALL apoc.export.graphml.query(query, null, {stream: true})
YIELD file, nodes, relationships, properties, data
RETURN file, nodes, relationships, properties, data;
Table 7. Results
file nodes relationships properties data

NULL

3

2

7

 
"<?xml version=\"1.0\" encoding=\"UTF-8\"?>
 <graphml xmlns="\"http://graphml.graphdrawing.org/xmlns\""
          xmlns:xsi="\"http://www.w3.org/2001/XMLSchema-instance\""
          xsi:schemaLocation="\"http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd\"">
   <key id="\"born\"" for="\"node\"" attr.name="\"born\""/>
   <key id="\"name\"" for="\"node\"" attr.name="\"name\""/>
   <key id="\"tagline\"" for="\"node\"" attr.name="\"tagline\""/>
   <key id="\"label\"" for="\"node\"" attr.name="\"label\""/>
   <key id="\"title\"" for="\"node\"" attr.name="\"title\""/>
   <key id="\"released\"" for="\"node\"" attr.name="\"released\""/>
   <key id="\"label\"" for="\"edge\"" attr.name="\"label\""/>
   <graph id="\"G\"" edgedefault="\"directed\"">
     <node id="\"n188\"" labels="\":Movie\"">
       <data key="\"labels\"">:Movie</data>
       <data key="\"title\"">The Matrix</data>
       <data key="\"tagline\"">Welcome to the Real World</data>
       <data key="\"released\"">1999</data>
     </node>
     <node id="\"n193\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1967</data>
       <data key="\"name\"">Lilly Wachowski</data>
     </node>
     <node id="\"n194\"" labels="\":Person\"">
       <data key="\"labels\"">:Person</data>
       <data key="\"born\"">1965</data>
       <data key="\"name\"">Lana Wachowski</data>
     </node>
     <edge id="\"e271\"" source="\"n193\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
     <edge id="\"e272\"" source="\"n194\"" target="\"n188\"" label="\"DIRECTED\"">
       <data key="\"label\"">DIRECTED</data>
     </edge>
   </graph>
 </graphml>
  "

You can also compress the files to export. See here for more information