neo4j-spark-skill

Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x (org.neo4j:neo4j-connector-apache-spark). Covers SparkSession setup, DataFrame reads via labels/Cypher/relationship scan, DataFrame writes with SaveMode, node.keys for MERGE, relationship write mapping, partition and batch tuning, PySpark and Scala examples, Databricks cluster config, Databricks secrets for credentials, Delta Lake to Neo4j pipelines. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT handle the Python bolt driver — use neo4j-driver-python-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.

1.35x

Quality

96%

Does it follow best practices?

Impact

95%

1.35x

Average score across 2 eval scenarios

Securityby

Low

Low-risk findings worth noting

Evaluation results

90%

20%

Populating a Commerce Purchase Graph in Neo4j from PySpark

Relationship write pipeline ordering and deadlock prevention

Criteria

Without this skill

With this skill

coalesce before rel write

100%

Nodes written first

100%

Relationship strategy = keys

100%

Source node keys option

100%

Target node keys option

100%

Source keys rename syntax

100%

Target keys rename syntax

100%

Relationship properties mapping

100%

Source save mode = Match

Target save mode = Match

node.keys for node writes

100%

30%

Product Catalog Sync Pipeline

Node upsert pipeline with MERGE constraints and performance tuning

Criteria

Without this skill

With this skill

Correct Maven coordinate

100%

Correct format string

100%

Overwrite SaveMode

100%

node.keys option set

100%

Numbered script hooks used

100%

Uniqueness constraint in pre-write script

100%

batch.size in valid range

100%

repartition before write

50%

100%

index.await.timeout set

100%

No semicolon multi-statement script

100%

Repository: neo4j-contrib/neo4j-skills
Path: neo4j-spark-skill/SKILL.md
Commit: a3627d2

Evaluated: 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Product Catalog Sync Pipeline Populating a Commerce Purchase Graph in Neo4j from PySpark

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