For each object, an index document is created. Second step is to create index document from the data.Source of data can be webpages on remote webserver, database, simple text file, word, PDF. Lucene doesn’t care about the source of the data, its format, or even its language as long as you can convert it to text. The first step is to gather data from different sources. Lucene can index and make searchable any data that can be converted to a textual format.Search engine uses IR Library to index and search data like the Apache Nutch uses Apache Lucene. Make no mistake, ‘IR Library’ and ‘Search Engine’ are two different things. There are many more applications which use Lucene and your application may be the next on this list. There are some big names like Eclipse IDE, New Scientist magazine, Liferay, FedEx, the Mayo Clinic, Hewlett-Packard use Lucene for searching. It lets you add indexing and searching capabilities to your application. How Lucene helps then? Lucene is a high performance, scalable Information Retrieval (IR) library. As shown in image, it is on page numbers 22 and 37. You want to find page number where the term “call log” is located. Indexes provide a way to quickly find documents by heading and reduces the search time. The process to create index is known as indexing.īut, why do we need indexes? When we have a huge number of documents, it’s a nightmare to find a document by heading/term as we have to go through each document and in document each page. Here, keys(headings) are the collection of terms user may want to find in general whereas values(locators) are the page numbers which contain information related to the term. This index contains data in pair of key and value. Now, to understand it better, let’s elaborate each term in detail.Īs per Wikipedia “An index is a list of words or phrases (‘headings’) and associated pointers (‘locators’) to where useful material relating to that heading can be found in a document or collection of documents.” It is quite identical to the index at the end of the book.
Here, fast and accurate information retrieval refers to searching. Search engine indexing collects, parses, and stores data to facilitate fast and accurate information retrieval. However, several frameworks extend Lucene’s capability like Apache Nutch, Apache Solr, Elasticsearch and more. Lucene itself is just an indexing and search library. It is renowned for its powerful, accurate and efficient search algorithms.
Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. By default, Liferay 7 Portal uses Elasticsearch, a search engine backed by the popular Lucene search library, to implement its search and indexing functionality.
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