Caching Partial Traversals in Neo4j
Blog post from Neo4j
This Neo4j query is inefficient as it traverses the same relationships multiple times, resulting in unnecessary computation and potential performance issues. To optimize this, a caching solution can be implemented to store the results of frequently executed queries. In this example, a LoadingCache is created using Google Guava to cache the "peopleWants" and "peopleHas" data, which reduces the number of traversals required. Another cache is created for the "cities" data, but with a refresh interval to keep it up-to-date every 10 minutes. This approach can help improve performance in recommendation engines using Collaborative Filtering.
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