elasticsearch must not

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

Tags: SQL script file in nod slash open plugin col file languageGitHub Address: Https://github.com/NLPchina/elasticsearch-sqlThe Elasticsearch-sql plugin makes it easy for us to query the elasticsearch using the SQL language 1, enter the Elasticsearch installation directory, execute the following command (Windows and L

References from:http://blog.csdn.net/u012307002/article/details/52837756Https://github.com/NLPchina/elasticsearch-sql1.elasticsearch-sqlAlthough the query for ES is very powerful, the query Language (DSL) is cumbersome, whether it is encapsulating JSON or encapsulating it through the Python/java API. Elasticsearch-sql can query es with SQL, which is easier and mo

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

Elasticsearch official only provide SMARTCN this Chinese word-breaker, the effect is not very good, fortunately, there are MEDCL great God (one of the earliest research es in China) wrote two Chinese word-breaker, one is IK, one is mmseg, the following describes the use of the two, respectively, Actually all the same, first install the plugin, command line:To install the IK plug-in: Plugin-install medcl/elasticsea