Neo4j ETL is now ready for the cloud
Since release (1.4.1) of the Neo4j-ETL tool (graph-app) also works fine with remote databases like AuraDB Instances.
Now you can import your relational data into any self-hosted or Provisioned AuraDB Instance in a few simple steps.
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Add your remote AuraDB Instance to Neo4j Desktop
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Add the ETL-Tool to Neo4j Desktop and then your project. Best via the graph app gallery
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Make sure the AuraDB Instance is activated i.e. Desktop connected to a running AuraDB Instance.
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Start the ETL tool
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Add a JDBC connection to your RDBMS
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Start the mapping process
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Edit the relational to graph mapping as needed
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Import the relational data via "Mode Batch" (you can leave the settings unchanged)
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Done
We had to adapt two things to make this possible. Thanks a lot to our partners at Larus BA, Italy for working on these features.
In the past, the ETL-Tool used LOAD CSV of a local file-URL, which doesn’t work anymore if your database is remote and can’t access your local CSV files. So we added a mode that reads the CSV locally and sends batches of rows as parameters to the remote AuraDB Instance, where they are inserted using UNWIND and MERGE.
Secondly, as Desktop doesn’t provide a local directory for remote AuraDB Instances to store mapping information, config and the CSV dump in, we use the temporary directory on your machine.
We have also enabled support for the neo4j URI scheme to connect to a causal cluster of Neo4j instances.
Please try out the ETL and let us know how it works for you for different relational databases and Neo4j deployments. If you encounter issues, please raise them on GitHub.
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