December 2014
Intermediate to advanced
304 pages
10h 33m
English
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Chapter 8. Traversals in depth
This chapter covers
- How traversal ordering impacts performance and memory footprint
- Using expanders during traversal
- Controlling the number of visits to each node using the uniqueness property
- Improving graph query performance using bidirectional traversals
Writing efficient traversals is the key to successfully querying graph data. You learned the basic concepts of the Neo4j Traversal API in chapter 4. In this chapter we’re going to dig a little deeper into the inner workings of the Traversal API so you can learn how to solve the most complex graph problems in an efficient manner.
8.1. Traversal ordering
Every time a traverser visits a node, it needs to make a decision about which relationship to follow ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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