apoc.export.arrow.query

This procedure is not considered safe to run from multiple threads. It is therefore not supported by the parallel runtime (introduced in Neo4j 5.13). For more information, see the Cypher Manual → Parallel runtime.

Details
Syntax	`apoc.export.arrow.query(file, query [, config ]) :: (file, source, format, nodes, relationships, properties, time, rows, batchSize, batches, done, data)`
Description	Exports the results from the given Cypher query as an arrow file.
Input arguments	Name	Type	Description
	`file`	`STRING`	The name of the file to which the data will be exported.
	`query`	`STRING`	The query to use to collect the data for export.
	`config`	`MAP`	`{ batchSize = 2000 :: INTEGER }`. The default is: `{}`.
Return arguments	Name	Type	Description
	`file`	`STRING`	The name of the file to which the data was exported.
	`source`	`STRING`	A summary of the exported data.
	`format`	`STRING`	The format the file is exported in.
	`nodes`	`INTEGER`	The number of exported nodes.
	`relationships`	`INTEGER`	The number of exported relationships.
	`properties`	`INTEGER`	The number of exported properties.
	`time`	`INTEGER`	The duration of the export.
	`rows`	`INTEGER`	The number of rows returned.
	`batchSize`	`INTEGER`	The size of the batches the export was run in.
	`batches`	`INTEGER`	The number of batches the export was run in.
	`done`	`BOOLEAN`	Whether the export ran successfully.
	`data`	`ANY`	The data returned by the export.

Usage Examples

Let’s suppose we have this data set:

CREATE (f:User {name:'Adam',age:42,male:true,kids:['Sam','Anna','Grace'], born:localdatetime('2015185T19:32:24'), place:point({latitude: 13.1, longitude: 33.46789})})-[:KNOWS {since: 1993, bffSince: duration('P5M1.5D')}]->(b:User {name:'Jim',age:42}),(c:User {name: 'John', age:12}),(d:Another {foo: 'bar'})

With this query:

CALL apoc.export.arrow.query('my_file.arrow', 'MATCH (n:User) RETURN count(n) as count, n.name as name') YIELD file, source, format,
    nodes, relationships, properties,
    time, rows, batchSize,
    batches, done, data

We’ll have an arrow file with the following columns:

count
name