Export to CSV

This feature is not available in AuraDS.

This feature is not available as a Cypher procedure or function in Aura Graph Analytics.

This feature is in the beta tier. For more information on feature tiers, see API Tiers.

We can export graphs stored in the graph catalog to a set of CSV files. All nodes, relationships and properties present in a graph are exported. This includes data that has been projected with gds.graph.project and data that has been added by running algorithms in mutate mode. The location of the exported CSV files can be configured via the configuration parameter gds.export.location in the neo4j.conf. All files will be stored in a subfolder using the specified export name. The export will fail if a folder with the given export name already exists.

The gds.export.location parameter must be configured for this feature.

Syntax

Export a named graph to a set of CSV files:

CALL gds.graph.export.csv(graphName: String, configuration: Map)
YIELD
 graphName: String,
 exportName: String,
 nodeCount: Integer,
 nodePropertyCount: Integer,
 relationshipCount: Integer,
 relationshipTypeCount: Integer,
 relationshipPropertyCount: Integer,
 writeMillis: Integer

Table 1. Parameters
Name	Type	Optional	Description
graphName	String	no	The name under which the graph is stored in the catalog.
configuration	Map	no	Additional parameters to configure the database export.

Table 2. Graph export configuration
Name	Type	Default	Optional	Description
exportName	String	`none`	No	The name of the directory where the graph is exported to. The absolute path of the exported CSV files depends on the configuration parameter `gds.export.location` in the `neo4j.conf`.
writeConcurrency	Integer	`4`	yes	The number of concurrent threads used for writing the database.
defaultRelationshipType	String	`__ALL__`	yes	Relationship type used for `*` relationship projections.
additionalNodeProperties	String, List or Map	`{}`	yes	Allows for exporting additional node properties from the original graph backing the projected graph.
useLabelMapping	Boolean	`false`	yes	Flag to decide whether to use node label mapping when exporting the graph

Table 3. Results
Name	Type	Description
graphName	String	The name under which the graph is stored in the catalog.
exportName	String	The name of the directory where the graph is exported to.
nodeCount	Integer	The number of nodes exported.
nodePropertyCount	Integer	The number of node properties exported.
relationshipCount	Integer	The number of relationships exported.
relationshipTypeCount	Integer	The number of relationship types exported.
relationshipPropertyCount	Integer	The number of relationship properties exported.
writeMillis	Integer	Milliseconds for writing the graph into the new database.

Estimation

As many other procedures in GDS, export to csv has an estimation mode. For more details see Memory Estimation. Using the gds.graph.export.csv.estimate procedure, it is possible to estimate the required disk space of the exported CSV files. The estimation uses sampling to generate a more accurate estimate.

Estimate the required disk space for exporting a named graph to CSV files.:

CALL gds.graph.export.csv.estimate(graphName:String, configuration: Map)
YIELD
 nodeCount: Integer,
 relationshipCount: Integer,
 requiredMemory: String,
 treeView: String,
 mapView: Map,
 bytesMin: Integer,
 bytesMax: Integer,
 heapPercentageMin: Float,
 heapPercentageMax: Float;

Table 4. Parameters
Name	Type	Optional	Description
graphName	String	no	The name under which the graph is stored in the catalog.
configuration	Map	no	Additional parameters to configure the database export.

Table 5. Graph export estimate configuration
Name	Type	Default	Optional	Description
exportName	String	`none`	no	Name of the folder the exported CSV files are saved at.
samplingFactor	Double	`0.001`	yes	The fraction of nodes and relationships to sample for the estimation.
writeConcurrency	Integer	`4`	yes	The number of concurrent threads used for writing the database.
defaultRelationshipType	String	`__ALL__`	yes	Relationship type used for `*` relationship projections.

Table 6. Results
Name	Type	Description
`nodeCount`	Integer	The number of nodes in the graph.
`relationshipCount`	Integer	The number of relationships in the graph.
`requiredMemory`	String	An estimation of the required memory in a human readable format.
`treeView`	String	A more detailed representation of the required memory, including estimates of the different components in human readable format.
`mapView`	Map	A more detailed representation of the required memory, including estimates of the different components in structured format.
`bytesMin`	Integer	The minimum number of bytes required.
`bytesMax`	Integer	The maximum number of bytes required.
`heapPercentageMin`	Float	The minimum percentage of the configured maximum heap required.
`heapPercentageMax`	Float	The maximum percentage of the configured maximum heap required.

Export format

The format of the exported CSV files is based on the format that is supported by the Neo4j Admin import command.

GDS does not add a column for node labels and relationship types in the data. In order to import them using Neo4j Admin, the labels and types should be set using the --nodes and --relationship parameters.

More details here: using the same label for every node, type for every relationship

Nodes

Nodes are exported into files grouped by the nodes labels, i.e., for every label combination that exists in the graph a set of export files is created. The naming schema of the exported files is: nodes_LABELS_INDEX.csv, where:

LABELS is the ordered list of labels joined by _.
INDEX is a number between 0 and concurrency.

For each label combination one or more data files are created, as each exporter thread exports into a separate file.

Additionally, each label combination produces a single header file, which contains a single line describing the columns in the data files More information about the header files can be found here: CSV header format.

For example a Graph with the node combinations :A, :B and :A:B might create the following files

nodes_A_header.csv
nodes_A_0.csv
nodes_B_header.csv
nodes_B_0.csv
nodes_B_2.csv
nodes_A_B_header.csv
nodes_A_B_0.csv
nodes_A_B_1.csv
nodes_A_B_2.csv

Nodes label mapping

When the configuration parameter useLabelMapping is set to true, the names of the labels will be mapped to integers during the export. This mapping will be written to a new file named label-mappings.csv. This parameter is required when label names contain underscores or special characters that are forbidden in file names by the OS.

Using the example above, if label mapping is enabled, the content of label-mappings.csv may be:

index,label
0,A
1,B

In this case, these files will be created for the nodes:

nodes_0_header.csv
nodes_0_0.csv
nodes_1_header.csv
nodes_1_0.csv
nodes_1_2.csv
nodes_0_1_header.csv
nodes_0_1_0.csv
nodes_0_1_1.csv
nodes_0_1_2.csv

Relationships

The format of the relationship files is similar to those of the nodes. Relationships are exported into files grouped by the relationship type. The naming schema of the exported files is: relationships_TYPE_INDEX.csv, where:

TYPE is the relationship type
INDEX is a number between 0 and concurrency.

For each relationship type one or more data files are created, as each exporter thread exports into a separate file.

Additionally, each relationship type produces a single header file, which contains a single line describing the columns in the data files.

For example a Graph with the relationship types :KNOWS, :LIVES_IN might create the following files

relationships_KNOWS_header.csv
relationships_KNOWS_0.csv
relationships_LIVES_IN_header.csv
relationships_LIVES_IN_0.csv
relationships_LIVES_IN_2.csv

Example

Export the my-graph from GDS into a directory my-export:

CALL gds.graph.export.csv('my-graph', { exportName: 'my-export' })

Example with additional node properties

Suppose we have a graph my-db-graph in the Neo4j database that has a string node property myproperty, and that we have a corresponding in-memory graph called my-in-memory-graph which does not have the myproperty node property. If we want to export my-in-memory-graph but additionally add the myproperty properties from my-db-graph we can use the additionalProperties configuration parameter.

Export the my-in-memory-graph from GDS with the myproperty from my-db-graph into a directory my-export:

CALL gds.graph.export.csv('my-graph', { exportName: 'my-export', additionalNodeProperties: ['myproperty']})

The original database (my-db-graph) must not have changed since loading the in-memory representation (my-in-memory-graph) that we export in order for the export to work correctly.

The additionalNodeProperties parameter uses the same syntax as nodeProperties of the graph project procedure. So we could for instance define a default value for our myproperty.

Export the my-in-memory-graph from GDS with myproperty from my-db-graph with default value into a directory called my-export:

CALL gds.graph.export.csv('my-graph', { exportName: 'my-export', additionalNodeProperties: [{ myproperty: {defaultValue: 'my-default-value'}}] })