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Design UDFs as pure functions that transform data without mutating the graph in FalkorDB
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Practical FalkorDB guidance — Cypher queries, UDF management, Docker operations, and data ingestion. Use when writing or reviewing FalkorDB queries, setting up FalkorDB containers, working with user-defined functions, or migrating data from other sources.
Extract data from Neo4j to CSV and load it into FalkorDB
Convert AWS Neptune Export CSVs and load them into FalkorDB
Migrate and continuously sync data from SQL systems into FalkorDB
Build FalkorDB databases from CSV inputs using the falkordb-bulk-loader utility
Account for FalkorDB Cypher limitations like non-indexed not-equal filters when designing queries
| name | Respect UDF limitations |
| description | Design UDFs as pure functions that transform data without mutating the graph in FalkorDB |
Understand and work within the constraints of FalkorDB's UDF system.
Design UDFs as pure functions that perform transformations without attempting to modify the graph.
# Use UDFs for transformations only; do not attempt CREATE/SET/DELETE inside JS.