With Lucene you can index and search any type of document, for example, web pages on a remote web server or a document stored in local file system, among many others. Lucene does not care about the source of the data – its format and language – as long as you can convert it to text. This allows users to search collected data and present the report to a user. It collects data, indexing it using Lucene, and storing indexes. This figure demonstrates a typical application integrated with Lucene library, showing an application that gets data from various sources (like file system, DB, web). Lucene can index and make searchable any data that can be converted to text format. Lucene allows you to add indexing and searching capabilities to your application. This picture captures a high-level view of Lucene working. At the heart of all search engine is concept of indexing – indexing means processing the original data into a highly efficient cross-reference to facilitate the search. Indexing can be compared to the “index” at the end of a book, from which a reader can quickly look for a topic of interest. Here, indexing can help.Īn efficient solution to this problem is to create index and search inside those indexes. This will work, but is an inefficient method, especially if you must search numerous documents. One approach would be to go through each file sequentially and look for text. Suppose you want to search for certain words in large number of files. To understand the fundamentals of Lucene, we need to understand indexing first. Currently 7.2 is latest version available, with many searchable libraries available now. You can seek the complete source and distribute with your application. Lucene is a mature, open source project implemented in Java. To address this need of efficient information retrieval in sea of data, information retrieval software came into existence. These queries should run beyond the category boundaries and find exactly what we’re looking for while requiring the least effort possible. One of the other important requirement of modern time is - we need to be able to make flexible, freeform, ad-hoc queries. RDBMS is not efficient way to manage unstructured, messy and unpredictable data that grows exponentially. A second method, is to use structure database RDBMS. But it is not an efficient method for finding information. For storing and retrieving data there were 2 classical ways – one is to classify the data into categories and subcategories, and then search through hundreds of these categories and subcategories of data. With time, the amount of data available has become so vast that we need more dynamic ways of finding information. Now these challenges are faced by almost every organization each organization now deals with huge data every day. As time passed, the explosion of data was not limited to cutting-edge technology companies. Google was the first to publicize MapReduce-a system used to scale their data processing needs. So most of them created proprietary products. These companies felt the existing tools, were becoming inadequate to process large data sets. At that time, they had to go through terabytes and petabytes of data to identify which websites were popular, what books were in demand, and what kinds of ads appealed to people. Some 10 years back this growing data presented challenges to cutting-edge businesses such as Google, Yahoo, Amazon, and Microsoft. These all things lead to the exponential growth of data. Machines, too, are generating and keeping more and more data. Each of these operations results in bulk of data. We upload documents, send text messages, update social channels, send emails, publish blogs and so forth. We use computers, internet, intranet, and mobile phones extensively. Why Lucene: understanding the need of Lucene This VOX DC post is based on my years of experience of using Lucene library, and should provide a quick and pointed guide to using Lucene. It is supported by the Apache Software Foundation, and is released under the Apache Software License. And developers want documentation we can trust.Īpache Lucene is a free and open-source information retrieval (IR) software library, originally written completely in Java by Doug Cutting. There is lot of material on Lucene freely available on the internet already, though most of the material is either formal (lengthy, too detailed, and dull) or informal (mostly incomplete, and often scattered).
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