elasticsearch or mongodb

Spring Data Elasticsearch Elasticsearch 2.0.0.RELEASE 2.2.0 1.4.0.m1 1.7.3 1.3.0.RELEASE 1.5.2 1.2.0.RELEASE 1.4.4 1.1.0.RELEASE 1.3.2 1.0.0.RELEASE Https://github.com/helloworldtang/spring-data-elasticsearch1. None of the configured nodes is available orOrg.elasticsearc

RIVER-JDBC Installation./bin/plugin --install jdbc --url http://xbib.org/repository/org/xbib/elasticsearch/plugin/elasticsearch-river-jdbc/1.4.0.8/elasticsearch-river-jdbc-1.4.0.8-plugin.zipDocument two ways: River or feederThe plug-in can execute the river in "Pull mode" and execute feeder in "push mode". In feeder mode, the plug-in runs in a different JVM and c

Elasticsearch is an advanced, high-performance, extensible open-source search engine that provides both structured and unstructured data for full-text search and real-time analysis. It features a RESTful API that can be easily integrated into existing Web architectures using HTTP. Therefore, in the case of high concurrency, we can use Nginx reverse proxy load balancer to multiple Elasticsearch servers. Arch

Java API implementationsJar Package Import Please refer to the previous blog Elasticsearch 5.X under the Java API Usage guideWrite a test class:Package Esjavapia5;Import Java. NET. InetAddress;Import Java. NET. Unknownhostexception;import org. Elasticsearch. Action. Search. SearchResponse;import org. Elasticsearch. Client. Transport. Transportclient;import org.

Elasticsearch have a flaw in their default configuration which makes it possible for all webpage to execute arbitrary code on Visitors with Elasticsearch installed. If you ' re running Elasticsearch in development please read the instructions on how to secure your machine. Elasticsearch version 1.2 (which is unreleased

Elasticsearch is a distributed document storage engine. It can store and retrieve complex data structures in real-time-serialized JSON documents. In other terms, once the document is stored in Elasticsearch, it can be retrieved on any node of the cluster.Of course, we not only need to store data, but also to quickly bulk query. While there are already many NoSQL solutions that allow us to store objects as d

First, what is Elasticsearch?Elasticsearch is the first choice of open source full-text search engine, it can quickly store, search and analyze massive data. Stack Overflow,github, etc. are in use.Elasticsearch is written in Java and uses Lucene for indexing and searching internally, but it makes full-text retrieval simple, and instead provides a simple, consistent set of RESTful APIs by hiding the complexi

http://nkcoder.github.io/blog/20141106/elkr-log-platform-deploy-ha/ 1. Architecture for highly available scenarios In the previous article using Elasticsearch+logstash+kibana+redis to build a log management service describes the overall framework of log services and the deployment of various components, this article mainly discusses the Log service framework of high-availability scenarios, mainly from the following three aspects of consideration: As

Elasticsearch 2.2.0 Word Segmentation: Chinese Word Segmentation Elasticsearch has many built-in analyzers, but the default word divider does not support Chinese very well. Therefore, you need to install plug-ins separately. The common ones are the smartcn and IKAnanlyzer of ICTCLAS of the Chinese Emy of sciences. However, IKAnanlyzer does not support the latest Elasticsearch2.2.0 version, however, the smar

Elasticsearch-headElasticsearch-head is a web foreground that interacts with the elastic cluster (Cluster).The main role of Es-head It shows the topology of the ES cluster and can be used to index (index) and node-level operations It provides a set of query APIs for the cluster and returns the results in JSON and tabular form It provides a shortcut menu to show the various states of a cluster Installation Online installatio

1. Workflow of Log Platform650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M01/71/5F/wKioL1XNWHGwPB_ZAAErAE7qZjQ757.jpg "title=" 1.png " alt= "Wkiol1xnwhgwpb_zaaerae7qzjq757.jpg"/> shipper means log collection, using Logstash to collect log data from various sources, such as system logs, files, Redis, MQ, and so on; broker as a buffer between the remote agent and the central agent, using Redis implementation, one can improve the performance of the system, the secon

Today, we introduce an open source distributed search engine Elasticsearch.First, Elasticsearch is a Lucene-based search server. It provides a distributed multi-user-capable full-text search engine, based on a restful web interface. Elasticsearch is the second most popular enterprise search engine developed in Java and published as an open source under the Apache license terms. Designed for cloud computing,

Elasticsearch Learning Notes (iv) Mapping mapping Mapping Brief IntroductionElasticsearch is a schema-less system, but does not represent no shema, but rather guesses the type of field you want based on the underlying type of JSON source data. Mapping is similar to a data type in a static language in Elasticsearch, but the mapping has some other meaning than the data type of the language.

1. What is Elasticsearch? Elastic is an open source, extensible framework for full-text search and analysis built on Lucene. It allows us to quickly store, search, and analyze large volumes of data in real time. The search for GitHub seems to be done with Elasticsearch. Some basic concepts of 2.elasticsearch Cluster 1. Represents a cluster with mu

Tags: apt reg ppm bin Linux Get auto Start node nbspInstall Elasticsearch Kibaba on LinuxKibana is an open source for the Elasticsearch engine to provide data and data analysis1. Download and installSwitch to the root account and execute the following commands sequentiallyRPM Package Installation$ wget -c https://artifacts.elastic.co/downloads/kibana/kibana-5.5.3-x86_64.rpm$ sha1sum kibana-5.3.2-x86_64.rpm

ElasticSearch, referred to as ES, is a lucene-based distributed full-text Search server, and SQL Server full-text index (fulltext index) a bit similar, are based on word segmentation and segmentation of the full-text search engine, with participle, synonym, stem query function , but ES inherently has distributed and real-time properties.One, install the Java SE EnvironmentInstall the Java JDK and configure the Java_home environment variables:1, downlo

Elasticsearch + Logstash + Kibana install X-Pack in the software package,Elasticsearch + Logstash + Kibana install X-Pack X-Pack is an extension of an Elastic Stack that includes security, alarms, monitoring, reporting, graphics, and machine learning functions in an easy-to-install software package.1. install X-Pack in elasticsearch Follow these steps to install

ElasticSearch 2 (9)-a summary of the story under ElasticSearch (a plot search)First top-down, after the bottom-up introduction of the elasticsearch of the bottom of the working principle, to try to answer the following questions: Why doesn't my search *foo-bar* match foo-bar ? Why do you add more files to compress indexes (index)? Why does

Before you introduce the usage of Elasticsearch, let's talk about why you should use it. First of all to learn the search engine, certainly inevitably have heard LUCENE,SOLR and Elasticsearch are based on it. Spinx many articles, but the database is too intrusive (plug-in mode). Elasticsearch is one of the most popular distributed search engines of the moment. SO

First, IntroductionElasticsearch is an open source, distributed, restful search engine built on Lucene. Designed for cloud computing, it can achieve real-time search, stable, reliable, fast, easy to install and use. Supports data indexing using JSON with HTTP.Lucene is just a framework to take advantage of its functionality, to use Java, and to integrate Lucene into the program. To make things worse, Lucene is very complex and requires a lot of learning to understand how it works.Elasticsearch u