elasticsearch mongodb

Our products require full-text search functionality, and back-end data storage primarily uses MySQL + MongoDB, where the content that needs to be retrieved is in MongoDB.MongoDB itself is self-featured with text indexing, but it does not support Chinese. The technology industry has specialized, MongoDB is the data storage application, then the full text search uses the specialized full-text search engine ba

A tool for real-time data synchronization between mongodb and ElasticSearch Based on netcore (ipv2es ), Tools for real-time data synchronization between mongodb and ElasticSearch Based on netcore One-to-one, one-to-many, multiple-to-one, and many-to-many data transmission modes are supported. One-to-one-A

While Elasticsearch can support full-text retrieval in a variety of languages, we don't want to switch to Elasticsearch as the backend database for the time being.Of course, when you can store data in a Web application, write a copy of it to Elasticsearch, but it certainly pollutes the original business logic.In the IT industry, as long as there is demand, there

Label:Elasticsearch has a plug-in module called River that can import data from an external data source into a elasticsearch and index it. The river is a singleton pattern on the cluster, it is automatically assigned to a node, and when the node is hung, the river is automatically assigned to another node. Currently supported data sources include: Wikipedia, MongoDB, CouchDB, RabbitMQ, RSS, Sofa, JDBC, File

data from or to other type of data store. Reference link is:transporter. It's important to know this transporter synchronizing only once. When the job was done, the transporter comes to its end. 3. Plugin for ES There is a plugin to es named "Elasticsearch-river-mongodb", and was widely used in ES 1.x, but now River mechanism for E S 2.x is deprecated. Reference link is

Tags: Mon pos repos paging aging and ring serial SeaA: Spring-data the bottom of the interface subgrade: Spring-data:pagingandsortingrepository-> crudrepository-> Repository, it is Springdatajpa,solr,mongodb, The core foundation of Elasticsearch. There are three main interfaces: 1. Repository 2.crudrepository 3.pagingandsortingrepository Two: About SPRING-DATA-JPA SPRING-DATA-JPA: It has only one core inter

While Elasticsearch can support full-text retrieval in a variety of languages, we don't want to switch to Elasticsearch as the backend database for the time being. Of course, when you can store data in a Web application, write a copy of it to Elasticsearch, but it certainly pollutes the original business logic. In the IT industry, as long as there is demand, ther

http://www.linkedin.com/groups/Difference-between-elasticsearch-MongoDB-3393294.S.5887644059169730563But you need to Consider:elasticsearch are an index/search engine isn't a database, there is also no inbuild security (like password protection or access rights). We tried a while with the It "as database", but the problem arrives if you had to update many fields (there is s Ince a long time a request O supp

Why do I need a search engineThe purpose of the search is to quickly look for what is needed without browsing the entire site. The results should be sequential, the higher the correlation, the better the result should be. Filter to optimize the overall relevance of the search results The search cannot be too slow Because the traditional relational database can't solve this kind of problem well, it needs to introduce a special search engine. The use of Elasti