Visit Design Documents –> New View to get started: MapReduce indexes are, like Cloudant Search, created by supplying a JavaScript function - any call to an emit function adds a row to the index. Then query your index as normal using client.postFind, client.postSearch or client.postView. Create the indexes as normal but be sure to supply false as the partitioned flag, to indicate you need a global index. Cloudant’s MapReduce feature allows secondary indexes to be created that can be used for selection or aggregation. A partitioned database may still have global Cloudant Query, Cloudant Search and MapReduce indexes. you can’t ask “how many books were published in 1973?”. Neither Cloudant Query nor Cloudant Search can aggregate search results, i.e. Learn about Search Analyzers to ensure you get the results you expect. Which type of Cloudant index leverages Apache Lucene libraries Geospatial Index Secondary Index with Map Reduce Search Index Primary Index. Cloudant Search uses “analyzers” to pre-process text prior to indexing.You may then build complex queries involving one, some or all of the indexed fields combined with AND and OR operators.Ĭloudant Search is best if you have many search use-cases involving different combinations of fields. Cloudant is privately held and backed by top-tier investors including Avalon Ventures, In-Q-Tel, and Y Combinator. This capability accelerates time-to-market and time-to-innovation, because it frees developers from the mechanics of data management so they can focus exclusively on creating great applications. The Cloudant Data Layer is a managed service that helps developers to eliminate the delays, costs, and distractions inherent in working with databases and their administrators, while providing unmatched scalability, availability, and performance. Ĭloudant provides developers of large or fast-growing Web and mobile applications with the world's first globally distributed "data layer as a service" for loading, storing, analyzing, and distributing application data.
#CLOUDANT INDEX LEVERAGES APACHE LUCENE LIBRARIES UPDATE#
Ranked searching – Search results can be ordered by relevance or by custom sort fields.It allows developers to enhance applications with several features: This format also requires less storage space, therefore lowering overall storage costs. By drawing on the speed and simplicity of Lucene, we are able to provide developers with an easy, familiar way to do that for large amounts of application data that will perform at-scale for massive amounts of users."Ĭloudant Search 2.0 includes support for Lucene's on-disk index file format, which allows database indexes to be built, maintained and searched very fast for higher overall performance. "I can't think of any application out there that wouldn't benefit from better search.
"Search 2.0 enables the types of text analytics that just aren't possible with the limited in-database search capabilities of SQL or other search systems," said Mike Miller, co-founder and chief scientist at Cloudant. It also provides a simple, scalable and fast search engine that can process large volumes of data, including high-dimensional data, or concurrent queries. In addition, Cloudant's Search 2.0 uses a system based upon Cloudant's incremental indexing engine in order to index data in near real time. Unlike other cloud databases, text search is tightly coupled with the Cloudant database, providing unified API access, horizontal scaling, and a single REST endpoint for all application data, including text documents. It is ideal for developers of online education and research apps, sentiment analysis, or any application that needs to provide fast, cost-effective storage and analysis of large volumes of text data.Ĭloudant Search 2.0 provides developers with the familiarity of Lucene, the most popular open-source search library. Using Cloudant " Search 2.0," developers can quickly and easily enhance their mobile and Web apps with high-performance indexing and analysis of textual documents. 9, 2012 /PRNewswire/ - Cloudant today announced that its cloud database service has been enhanced with integrated, full-text indexing and search powered by Apache Lucene.
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