elasticsearch scaling

ElasticSearch NEST notes, elasticsearchnest ElasticSearch NEST notes 1. What is ElasticSearch? ElasticSearch is a powerful open source search and analytics engine that makes data easy to learn E. It can be simply understood as a indexing and retrieval tool. Of course, it has more functions than this.ElasticSearch cons

Elasticsearch provides the default word divider, which separates each Chinese character, instead of the keyword. For example: Curl-xpost "http: // localhost: 9200/userinfo/_ analyze? Analyzer = Standard pretty = true text = I am Chinese"We will get the following result: {Tokens: [{token: textstart_offset: 2end_offset: 6 type: Under normal circumstances, this is not the result we want. For example, we prefer word segmentation like "Chinese", "China"

Download the latest Elasticsearch installation version first. I use the latest version of elasticsearch-1.7.1.Https://www.elastic.co/downloads/elasticsearch After the download is complete. Unzip the installation directory. on the cmd command line, go to the installation directory, then go to the Bin directory, run the Elasticsearch.bat command: after succe

Elasticsearch only provides the smartcn Chinese Word Segmentation plug-in. The effect is not very good. Fortunately, there are two Chinese Word Segmentation plug-ins written by medcl (one of the first persons studying es in China), one of which is Ik, one is mmseg. The following describes the usage of both of them. In fact, both are similar. First install the plug-in and run the command line:Install the IK Plugin: plugin -install medcl/

Elasticsearch 2.20 entry: Aggregate operations Aggregations provides the ability to group and collect documents. Aggregation is similar to the group by function in relational databases. In Elasticsearch, you can obtain the aggregate results in an aggregation query and then aggregate them again. This is a very useful function. You can get the results of multiple aggregation through one operation to avoid mul

Centos6.5 install ElasticSearchSelect ElasticSearch-RTF Previously, all of the downloaded versions were released on the official website, but he did not do a good job in Chinese word segmentation. You need to install the Chinese word divider. Even if you have installed the ik word divider, it cannot be well supported. You need to install some plug-ins and configure them. Fortunately, there is a lazy package of RTF on the Internet.What is

Elasticsearch Installation notesRecently, we are considering adding elasticsearch to the company's saas platform to enhance its search function.Download https://download.elastic.co/elasticsearch/elasticsearch/elasticsearch-1.5.0.zipUnzip-d.

Full-text Search is the most common demand, Open-source Elasticsearch is currently the first choice of Full-text search Engine.It's at the bottom of the open Source Library lucene, But we can't use Lucene directly. You must write the code yourself to invoke its interface.The Elasticsearch is a Lucene package that provides the operator interface for the REST API and is very handy.first, Install Java 8Elastic

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, directly into the actual combat.I. Environment

Objective process, NIGNX format log into JSON, Logstash directly to Elasticsearch, and then through the Kibana GUI interface display analysis Important NIGNX Log into JSON format, avoid nignx default log is a space, need a regular match, resulting in logstash too much CPUThe Elasticsearch machine configures the firewall, allowing only the specified Logstash machine accessKibana only listens for local 127.

Getting Started Elasticsearch is a real-time, distributed search and analysis engine. It can help you deal with large-scale data at an unprecedented rate.It can be used for full-text search, structured search and analysis, and of course you can combine the three. Wikipedia uses ElasticsearchFor full-text search and highlighting keywords, as well as providing search suggestions such as Search-as-you-type, Did-you-mean, and more. United Kingdom The Gua

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

Detailed description of the elasticsearch configuration file for distributed search, The config folder of elasticsearch contains two configuration files: elasticsearch. yml and logging. yml, the first is the basic configuration file of es, the second is the log configuration file, es also uses log4j to record logs, so logging. the settings in yml can be set in th

Recently in the log analysis of this piece, to use Logstash+elasticsearch+kibana to implement log import, filtering and visual management, official documentation is not detailed enough, the online articles are mostly either for the use of Linux systems, or the copying of other people's configuration is mostly impossible to run. It took a lot of effort to get rid of these three things, write a usage experience, nonsense not much to say, into the subjec

Prerequisite: Install Elasticsearch (host:192.168.1.10) on the server　　　　　　　　Http://192.168.1.10:9200?_search?pretty1: Install PHP elasticsearch extensions (using the composer method)1.1 Download Composer.phar Package (see composer installation software http://www.cnblogs.com/amuge/p/5998985.html)1.2 Composer.json{"require": {"elasticsearch/

DocumentIn the Elasticsearch world (or Lucene World), document is the main entity and the word has a special meaning. It refers to JSON that is serialized from the highest level or root object (Root objects) in Elasticsearch, which is stored under a unique ID. Elasticsearch's documents were eventually stored as Lucene documents.Document Meta DataA document contains more than just data. It also contains meta

PartyCase BackJingTypically, the logs are stored on different devices that are scattered. If you manage hundreds of dozens of of servers, you are also using the traditional method of logging in to each machine in turn. This is not feeling very cumbersome and inefficient. Open Source Real-time log analyticsELKthe platform can perfectly solve the problem of log collection and log retrieval and analysis,elk means Elasticsearch .,Logstashand theKiabanaThr

This article is a reference to the practice of logstash official documentation. The environment and required components are as follows: RedHat 5.7 64bit/centos 5.x JDK 1.6.0 _ 45 Logstash 1.3.2 (with kibana) Elasticsearch 0.90.10 Redis 2.8.4 The process of building a centralized log analysis platform is as follows: Elasticsearch 1. Download elasticsearch.

Scattered cents, in the previous article on the overall introduction of Elasticsearch, then this article we look at how to install, deploy ES, and how to install ES several more commonly used plug-ins.ES installation and deployment, is very simple and convenient, at least this point between ES and SOLR, can be clearly reflected, SOLR installation is to rely on the servlet container, such as jetty, or Tomcat, after downloading, You need to copy SOLR's

Logical processing functionsCalculate Search Time-consumingBefore starting the search: Start_time = DateTime.Now () Gets the current timeAt the end of the search: End_time = DateTime.Now () Gets the current timeLast_time = (end_time-start_time). Total_seconds () end time minus start time equals times, converted to secondsFrom django.shortcuts import render# Create your views here.from django.shortcuts import Render,httpresponsefrom django.v Iews.generic.base Import viewfrom app1.models import la