nerodiscounts.blogg.se - Cloudant index leverages apache lucene libraries

#CLOUDANT INDEX LEVERAGES APACHE LUCENE LIBRARIES SOFTWARE#
#CLOUDANT INDEX LEVERAGES APACHE LUCENE LIBRARIES CODE#

Pre-processing your raw data, by calling the Watson API for each document and storing a list of entities/concepts/categories in your Cloudant document, provides automatic meta data about your free-text information and can provide an easier means to search and navigate your app.The Cloudant database has four supported client libraries: Node.js, Java, Goand Python. / travel / tourist destinations / france.The Watson Natural Language and Understanding API can be fed raw text and will return entities it knows about (you can provide your own enitity model for your domain-specific application):Īs well as entities, the API can also place the article in a hierarchy of categories. Les Bleus - a nickname of the French national football teamĮntity extraction is the process of locating known entities (given a database of such entities) and storing the entities in the search engine instead of or as well as the source text.Defeat for the European champions finished Cristiano Ronaldo’s hopes of success in Russia just hours after Lionel Messi and Argentina were knocked out, beaten 4-3 by Les Bleus.”įrom this snippet, I would manually extract the following “entities”: “Edinson Cavani scored two superb goals as Uruguay beat Portugal to set up a World Cup quarter-final meeting with France. Throwing lots of unstructured data at an indexing engine gets you only so far if you can add further structure to unstructured data, then the search experience will benefit as fewer “false positives” will be returned. Providing a good search experience depends on the alignment of your users’ search needs with structure in the data. only store the fields you need retrieving at query-time. Cloudant uses a system very similar to the incremental MapReduce engine to index your data in real time and provide a simple, scalable, and fast search engine that can process arbitrarily large volumes of data or concurrent queries without requiring the user to worry about scaling concerns.only index the fields that are to be searchable.This can be slower to execute and add a further burden to a Cloudant cluster. The latter option keeps the index small but adds extra query-time work for Cloudant as it has to fetch document bodies after the search result set is calculated. The former option means having a larger index but is the fastest way of retrieving data. Using Cloudant Search 2.0, developers can. or, pass ?include_docs=true at query-time to indicate to Cloudant that you want the entire bodies of each matching document to be returned. Cloudant today announced that its cloud database service has been enhanced with integrated, full-text indexing and search powered by Apache Lucene.you may want to “store” a telephone number, even if your search algorithm doesn’t allow search by phone number. A field can be “stored” even if it isn’t used for indexing itself e.g. option to indicate that that the field you dealing with needs to be stored inside the index. I live at 21a Front Street, Durham, UK - my email is analyzer 🔗 To look at each anaylzer in turn, I’m going to pass the same string to each analyzer to measure the effect: There is a Cloudant Search API call that will apply one of the built-in Lucene analyzers to a supplied string to allow you to see the effect of each analyzer.

#CLOUDANT INDEX LEVERAGES APACHE LUCENE LIBRARIES CODE#

At query-time the search terms are processed using the same analyzer code before interrogating the index.

remove stop words - ignoring words like a, is if can make the index smaller and more efficient.Īt indexing-time source data is processed using the analyzer logic prior to sorting and storage in the index.

stem the words - removing language-specific word endings e.g.

tokenise the string - breaking a sentence into individual words.

lowercase the string - making the search case-insensitive.

Apache Lucene sets the standard for search and indexing performance. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.

#CLOUDANT INDEX LEVERAGES APACHE LUCENE LIBRARIES SOFTWARE#

One aspect of the indexing process is the choice of analyzer. Apache Lucene is an open source high-performance, full-featured information retrieval software library written entirely in Java. When creating a Cloudant Search index, thought must be given as to which fields from your documents need to indexed and how they are to be indexed. Which type of Cloudant index leverages Apache Lucene libraries Geospatial Index Secondary Index with Map Reduce Search Index Primary Index.

counting facets, that is counts of repeating values within the result set.

state:florida AND (status:provisional OR status:published).

constructing fielded queries in Lucene’s query language e.g.

finding documents that best match a supplied string.

Cloudant Search is the free-text search technology built in to the Cloudant database that is powered by Apache Lucene.