elasticsearch delete

Elasticsearch is a distributed RESTful style search and data analysis engine. The biggest difference between the elasticsearch of personal understanding and the traditional relational database is that it can be structured search, full-text retrieval and data analysis. This article briefly describes how to complete the Elasticsearch RESTful API functionality with

following information:Java code 650) this.width=650; "class=" star "src=" Http://qindongliang.iteye.com/images/icon_star.png "alt=" Favorites Code "style= "border:0px;"/> { "Status" : "Name" : "Skin", " cluster_name" : "Elasticsearch", "Version" : { "Number " : "1.4.1", " Build_hash" : "89d3241d670db65f994242c8e8383b169779e2d4", " build_timestamp" : "2014-11-26t15:49:29z", "Build_snapshot" : false, " lucene_version" : "4.10.2 "

First, Introduction1. CompositionElk consists of three parts: Elasticsearch, Logstash and Kibana.Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interface, multi-data source, automatic search load, etc.Logstash is a fully open source tool that collects, analyzes, and stores your logs for later useKibana is an open source and

Installation, running, and basic configuration of Elasticsearch Elasticsearch is a superb real-time distributed search and analysis engine. It can help you process large-scale data at an unprecedented speed. It can be used for full-text search, structured search, and analysis. More importantly, it is easy to get started and the api is clear. According to the official introduction, currently Wikipedia, Githu

Using the LaravelSearch extension package based on Elasticsearch, Algolia, and ZendSearch, the Laravel Search extension package provides unified APIs for different full-text Search services, currently, ElasticSearch, Algolia, and ZendSearch are supported. 1. Installation We use Composer to install this dependency package: composer require mmanos/laravel-search dev-master After the installation is compl

004 Premise With the rapid development of artificial intelligence and big data, fast retrieval of terabytes and even petabytes of big data has become a requirement, and large enterprises have already drowned in the vast stream of data generated by the system. Big Data technologies are already focused on how to store and process these massive amounts of data. Elasticsearch as a rising star in the field of open source, from 2010 to date has been a leap-

By adding search data through the rest API, reading the official documentation reveals that Elasticsearch supports dynamic mapping, but there are a lot of questions and listen slowly. This article mainly tells about three points content: 1 Elasticsearch Common REST API 2 Elasticsearch When adding an index, the dynamic mapping error: mapperparsingexcep

, is assigned to a random person at startup. If you do not want the default name, you can customize the name. This name is useful for cluster management, especially if you want to confirm which server corresponds to which node.A node can configure the specified cluster name to join the cluster. By default, each node is joined by a cluster named "Elasticsearch".A cluster can contain any number of node. Also, if no other node is running, launching a nod

uniquely identify a document in Elasticsearch. If you want to get to know Spark, Hadoop or hbase related articles in time, please pay attention to micro-credit public account: Iteblog_hadoopDocument source Meta data (Doc source meta-fields) There are two main document source meta data: 1, _source: This field identifies the subject information of the document, which is the data we write in the Elasticsearch