ObjectiveIn this section we will delve into the main optimization methods in visual slam-graph optimization (graph-based optimization). In the next section, we describe a very popular graph optimization library: G2O.As for G2O, I wrote a document in 13, but as I deepened my understanding, I felt more dissatisfied. In the spirit of more responsible for the reader,
1. Download the zip package of the elasticsearch-1.2.1, decompress it, and double-clickElasticsearch. bat(For Windows) Start the server (Listening to port 9200 by default)
Access http: // localhost: 9200. If the following JSON data is displayed, the startup is successful.
2. Sample Code for client connection:
Package COM. jiaoyiping. othersimple;/*** created with intellij idea. * User: Jiao Yiping * Date: 14-7-8 * Time: * to change this template us
Original link: http://jingyan.baidu.com/article/48206aead42b53216bd6b372.htmlElasticsearch is a Lucene-based search server. It provides a distributed multi-user-capable full-text search engine, based on a restful web interface.Recently work needed, and then studied the next es. By the way, the process of learning is recorded, it is also convenient for a long time to review again, or other environment to configure the reference.Tools/Materials
JDK, ES installation package
Installing
Because of the limited machine, this article only makes the cluster test of 3 nodes in a single machine.1. Cluster test informationElasticsearch version: elasticsearch-2.4.1Windowns version: Win102, decompression elasticsearch-2.4.1.zip to any directory, install Elasticsearch-head plug-in.Execute command in ${eshome}\bin directory: Plugin install Mobz/
Tags: elasticsearch search management plug-in Cluster 1. Install elasticsearch Elasticsearch is easy to install and can be decompressed immediately (you must install the Java environment in advance ). Download the latest version of elasticsearch running package from the http://www.elasticsearch.org; Three packages ar
Note: Elasticsearch version: 1.4.2First, installation and configuration1. Download Elasticsearch-analysis-ik-master.zip from Https://github.com/medcl/elasticsearch-analysis-ik2. Unzip the Elasticsearch-analysis-ik-master.zipUnzip Elasticsearch-analysis-ik-master.zip3. enter
Excerpt from: http://www.mayou18.com/detail/nTxPQSyu.html "ElasticSearch Foundation" elasticsearch+spring Integrated maven dependenciesMaven DependencySpring-data-elasticsearch and Elasticsearch version correspondence table
Spring Data Elasticsearch
Introduced
Elasticsearch is an efficient, scalable, Full-text search engine basic Concept Near Realtime (NRT): ES is a near real-time query platform, meaning from storing a piece of data to being able to index to data jet lag is very small, usually within 1s cluster:es is a distributed , extensible platform for one or more servers to build the same cluster Node through the defined cluster.name (default Elasticsear
Recently, there is a business need, that is, full-text search keyword query list, and thus to Es learning, also learned half a month, to do a note, summed up their own learning process.
Learning a new technology alone, always inevitably take a lot of detours, in this recommendation Es Basic tutorial, right, learn the official website tutorial can be.
1) Elasticsearch: Authoritative guide
Https://www.elastic.co/guide/cn/
Tags: technology sharing inf latest allow head blank Fix set imgLinux installation Elasticsearch, Elasticsearch can not be started with the root user, the root user will be error refer to the log in the error details, how to solve this situation? The following small series for everyone to bring Linux installation Elasticsearch start error resolution, go and see i
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
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
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