spring data elasticsearch

River can be synchronized with a variety of data sources, Wikipedia, MongoDB, CouchDB, RABBITMQ, RSS, Sofa, JDBC, Filesystem,dropbox, etc., and the company's business is to use MongoDB, Today, the test environment virtual machine configured Elasticsearch and MongoDB synchronization, make a general process record, mainly using Richardwilly98/elasticsearch-river-mo

Elasticsearch is a distributed, restful search and Analysis server, like Apache SOLR, which is a lucence-based index server, but I think the advantage of Elasticsearch versus SOLR is: Lightweight: Easy to install, download the file after a command can be started; Schema Free: You can submit JSON objects of any structure to the server, using Schema.xml to specify the index structure in SOLR; Mul

Importing data using REIVER-JDBC in Elasticsearch2014-05-13 15:10 This site (3384) Elasticsearch use REIVER-JDBC to import data, the need for friends can refer to the next.The river module is provided in Elastisearch to fetch data from other data sources, which exists as a

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

Original link: http://lxw1234.com/archives/2015/12/585.htm Keywords: hive, elasticsearch, integration, consolidation Elasticsearch can already be used with big data technology frameworks like yarn, Hadoop, Hive, Pig, Spark, Flume, and more, especially when adding data, using distributed tasks to add index

ObjectiveJMeter is an open source tool for performance testing, stress testing, and is being tested by a large number of testers to test product performance, load, and more. JMeter In addition to the powerful presets of various plugins, various visual charting tools, there are some inherent flaws, such as: We often can only analyze the performance of the same deployment in the report, it is inconvenient to make a vertical comparison, for example, each build will run a one-time test, but

Recently need to deal with hundreds of millions of data, the author in the recommendation of friends to learn elasticsearch, read many blogs on the internet also encountered a lot of problems,so I record the study and usethe process of elasticsearch. Elasticsearch Concept Online A lot, the author is not more verbose, d

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 mo

* /Void Close ();}Elasticsearch-hbase-riverThere are two related items on GitHub:Https://github.com/mallocator/Elasticsearch-HBase-RiverThis project is actually very easy, in the river with a timer to start a hbase scanner, to scan the data. and insert the data into ES. And you manually write code to scan almos

( Inetaddress.getbyname ("192.168.190.129"), 9300); Set the configuration information for the ES node Settings Settings = Settings.builder (). Put ("Cluster.name", "es"). Bui LD (); The client that instantiates ESLike transportclient client = new prebuilttransportclient (settings); Client.addtransportaddress (node); return client; }} Query interface DevelopmentI now have a structured index as follows:There are some document dat