Chapter 3. Key Solr concepts

This chapter covers

  • What differentiates Solr from traditional database technologies
  • The basic structure of Solr’s internal index
  • How Solr performs complex queries using terms, phrases, and fuzzy matching
  • How Solr calculates scores for matching queries to the most relevant documents
  • How to balance returning relevant results versus returning all possible results
  • How to model your content into denormalized documents
  • How Solr scales across servers to handle billions of documents and queries

Now that we have Solr up and running, it’s important to gain a basic understanding of how a search engine operates and why you’d choose to use Solr to store and retrieve your content. Our main goal for this chapter is to ...

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