Chapter 3. Indexing Data
In the previous chapter, we saw the various analyzers, tokenizers, and filters provided by Solr that help us select the most important data from a given document. In this chapter, we'll see how Solr provides us a way to index this data so that we can run queries on top of it. We'll cover the following topics in this chapter:
- Defining field types in Solr
- Creating a custom
musicCatalogue
example - Facet searching
The Solr indexing process can mainly be broken down into two major parts:
- Converting the document from its native format to XML or JSON, both of which are supported by Solr
- Adding documents into Solr datastore using API or HTTP POST
To better understand the preceding two parts, we'll create an example of a music catalogue ...
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