GraphAcademy

Importing

LOAD CSV

The Cypher clause that reads a CSV file row by row, so those rows can be written into the graph.

Example

One (:Movie) node for every row in the file.

cypher
LOAD CSV WITH HEADERS FROM 'https://data.neo4j.com/importing-fundamentals/movies.csv' AS row
MERGE (m:Movie {movieId: row.movieId})
SET m.title = row.title,
    m.year = toInteger(row.year)

WITH HEADERS makes row a map keyed by the column names, so row.title reads that column. Every value in it arrives as a string, and toInteger(row.year) stores year as a number.

Lessons that use this term

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8 lessons use this term. Results are ordered by term density.

Importing CSV data into Neo4j3 mentions

  • Load your own CSV fileImporting Dataand run a LOAD CSV statement to load the file into2 mentions
  • NodesCreating Nodes, Properties, and RelationshipsThe LOAD CSV clause loads the CSV file from the specified1 mention

Importing Data Fundamentals2 mentions

  • ToolsImporting data into Neo4jImport tool Cypher and LOAD CSV neo4j-admin ETL tools Custom2 mentions

Introduction to Vector Indexes and Unstructured Data1 mention

  • Load embeddingsVector indexesIf you would like to learn more about how to load CSV data into Neo4j, you can take the GraphAcademy [Importing CSV data into1 mention

LOAD CSV Data Import1 mention

  • How LOAD CSV WorksImporting with LOAD CSVprovides a built-in Cypher clause called LOAD CSV that reads a [CSV1 mention

GraphRAG Hackathon1 mention

  • Hack TimeTime to Buildfrom your own documents to build a knowledge graph Import — load CSV or relational data into your graph through a visual mapping interface Query — run Cypher, or generate it from a1 mention

Importing Data into Neo4j Workshop1 mention

Modeling and Importing Data into Neo4j Workshop1 mention

Related terms

Data Importer
The Neo4j tool for loading CSV files into a graph by mapping their columns onto nodes and relationships.1 shared lesson
pathfinding
A family of algorithms that find routes through a graph. What counts as the best route differs by algorithm.1 shared lesson
data model
The labels, relationship types and properties chosen to represent a domain.4 shared lessons
Aura
Neo4j's fully managed cloud service.4 shared lessons
driver
The client library an application uses to connect to Neo4j and run Cypher.3 shared lessons
constraint
A rule the database enforces on every node or relationship with a given label or type, rejecting any write that breaks it.2 shared lessons
index
A structure over a property. The database reads it to find nodes or relationships by property value, rather than scanning every one.3 shared lessons
transaction
A unit of work that either succeeds in full or leaves no trace.2 shared lessons

All glossary terms