neo4j-import-skill

The best way to bulk load CSV data into Neo4j depends on dataset size: use LOAD CSV with CALL IN TRANSACTIONS for online ingestion, or neo4j-admin database import for offline, high-volume loading. Always create uniqueness constraints before importing to prevent duplicates.

To import JSON files into Neo4j without duplicates, set up uniqueness constraints first, then use APOC load helpers or structured ingestion methods with MERGE operations. Post-import verification ensures index population and validates row counts against the source JSON.

Use neo4j-admin database import instead of LOAD CSV for offline, high-volume bulk loading scenarios such as relational-to-graph migrations. LOAD CSV with CALL IN TRANSACTIONS is better suited for online ingestion where the database remains active during the data import process.

CALL IN TRANSACTIONS handles errors during Neo4j data import using ON ERROR modes like CONTINUE, BREAK, FAIL, or RETRY. This provides reliable batching and resilient error handling for large datasets, allowing concurrent batch processing without failing the entire load.

Yes, you need to create constraints before importing data into Neo4j to ensure primary-target validation and prevent duplicate nodes. Pre-import constraint setup is required for correct batch upserts, followed by post-import verification of counts and index population states.

Yes, you can use this approach to migrate a relational database to a Neo4j graph by exporting tables to structured CSV or JSON, then using batch upserts with LOAD CSV or neo4j-admin database import. Schema-aware type coercion and UTF-8 checks ensure data integrity during migration.