
Apache Solr for Indexing Data
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To make us able to search effectively and efficiently, Solr splits text into tokens during indexing as well as during search (query time). Solr does all of this with the help of its three main components: analyzers, tokenizers, and filters. Analyzers are used during both indexing and searching. An analyzer examines the text of fields and the generated token stream with the help of tokenizers. Then, filters examine the stream of tokens and perform filtering jobs of any one of these: keeping them, discarding them, or creating new tokens. Tokenizers and filters might be combined in the form of pipelines or chains such that the output of one is the input of the other. Such a sequence of tokenizers and filters is called an analyzer, and the resulting output of the analyzer is used to match search queries or build indices. Let's see how we can use these components in Solr and implement them.
Analyzers are core components that preprocess input text at indexing and search...
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