Summary

In this chapter, we took a deeper look at Neo4j internals to understand how a database works to execute queries. We also reviewed a few query patterns and saw the right and wrong ways to build queries and looked at troubleshooting common issues.

Cypher is an easy language to learn compared to SQL. However, it takes a bit of an effort to get the most out of it. One thing to remember is that Neo4j is a schemaless storage. This gives us great flexibility when it comes to data modeling. If your application use case starts changing, the current data model becomes too limiting, and your queries get slower, there is no need to create a completely new model. You can start adapting the existing model by adding new model concepts, thus keeping the same graph for the old and new functionality. Once you are satisfied with new model changes, it is possible to remove the remnants of the old model that are not required. Combining this kind of model flexibility with the simplicity and power...