A script for monitoring the Elasticsearch index was found in the Nagios community, and then modified to use the listening IP that is normally used for incoming elasticsearch for using a script that monitors the Elasticsearch health state in Nagios#!/bin/bash#check_elasticsearch_health.sh#memofornagiosoutputsstate_ok=0s
Elasticsearch is a distributed, extensible, real-time search and data analysis engine
Elasticsearch not only full-text search, but also supports structured search, data analysis, complex language processing, geographic location, and inter-object correlation. At the same time, Elasticsearch has super-strong horizontal scalability, which can distribute load pressu
Bigdesk is a cluster monitoring tool of Elasticsearch, which can be used to view the various states of ES cluster, such as CPU, memory usage, index data, search condition, HTTP connection number, etc.Project git address: Https://github.com/lukas-vlcek/bigdesk. Like head, it is also a standalone web program, using the same way as head.Plug-in Installation run:1, Bin/plugin-install Lukas-vlcek/bigdesk2. Run E
your elasticsearch cluster is up and running properly.Installing KIABNAKibana is a WEB interface that provides data analysis for ElasticSearch. It can be used to efficiently search, visualize and analyze logs.First download the latest version of the KIABNA compression package to the official website.You can use the following command to fill in the latest available download links:https://artifacts.elastic.c
by the data graph 4) pull a few charts to generate a report. Kibana is very powerful, and based on these basic functions, we are already free to customize and complete a variety of complex requirements. Kibana can also add a variety of plug-ins, the most commonly used is Marvel (performance, status monitoring) and Logstash (data collection), very useful.
Sphinx Tools, also stay in the performance monitoring
Elasticsearch is an open source, distributed, restful search engine built on Lucene. Designed for cloud computing, to achieve real-time search, stable, reliable, fast, easy to install and use. Supports the use of JSON for data indexing over HTTP.
stand-alone Environment
Stand-alone version of the Elasticsearch operation is very simple, Linux directly under the Bin/elas
another active part. In other words, if you are using Hadoop,hbase,spark,kafka or some other newer distributed software, you may already be running zookeeper somewhere in your organization.
Although Elasticsearch has built-in zookeeper-like components Xen, zookeeper can better prevent the dreaded split-brain problems that sometimes occur in elasticsearch clusters. To be fair,
Before we talked about the Elasticsearch (search engine) operation, such as: Add, delete, change, check and other operations are used Elasticsearch language commands, like SQL command, of course Elasticsearch Official also provides a python operation Elasticsearch (search engine) interface package, just like the SQLAlc
First, window installation Elasticsearch installationThe client version of Elasticsearch must be consistent with the main version of the server version.1, Java Installation "slightly" 2, Elasticsearch downloadAddress: https://www.elastic.co/downloads/past-releasesSelect the appropriate version, use elasticsearch5.4.3 download zip here3, decompression
video tutorials personal feeling is good, read these several series estimated that the entry must be no problem. For copyright reasons, no download links are available.
In addition, "Elasticsearch authoritative guide" translated version, translation has not all, can go to see, speak very detailed, there should not be any book on the market has so clear, if the English good can directly chew English bar.
There is the official website of the document,
@ localhost logs] # lsElasticsearch-cluster-centos_index_indexing_slowlog.log elasticsearch-cluster-centos.log elasticsearch-cluster-centos_index_search_slowlog.log
7. Now our simple cluster configuration is complete. view the ClusterBecause we have installed the head plug-in, you can use this plug-in to check that the virtual machine ip address is 192.168.1.108.
Http: // 192.168.1.108: 9200/_ plugin/head/
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
Elasticsearch October 2014 briefing, elasticsearch1. Elasticsearch Updates
1.1 released Kibana 4 Beta 1 and Beta 1.1
Kibana 4 is different from Kibana in layout, configuration, and bottom-layer Chart Drawing. After learning the functional requirements of many communities based on Kibana 3, Kibana's self-Kibana 2 major change resulted in the second major change made by Kibana 3. Kibana has always been commit
In order to make it easier for you to find the part that you need to reference more quickly, the part that has been translated is done according to the catalogue of the authoritative guide, and I hope to be helpful. Start (Getting Started) 1. You know, to search
English original link: you Know, for Search 2. Life in the cluster
Translation Links:How the [Elasticsearch] cluster works-part I.How the [Elasticsearch
, sorting and statistics and the large number of machines still use such a method is a little too hard.
Open source real-time log analysis Elk platform can perfectly solve our problems above, elk by Elasticsearch, Logstash and Kiabana three open source tools. Official website: https://www.elastic.co/products
Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration
Elasticsearch-sql Plug-in
Image2017-10-27_11-10-53.png (1067x738)
Elastic sql_ Baidu Search
Parsing process for Druid SQL parser-Beanlam-segmentfault
Elasticsearch SQL | Elastic
Elasticsearch-sql SQL query Elasticsearch-heart of Old ir
version of Elasticsearch
Configure Elasticsearch.urlEdit Kibana directory/conf/kibana.yml file has a elasticsearch.url is commented out, open the Elasticsearch.url annotation can
Start KibanaSwitch to the Kibana directory and start
cd/usr/local/kibana-6.1.1
./bin/kibana
Visit: http://localhost:5601/ four: Install X-pack
Note: Installation of X-pack needs to be installed first Kibana
X-pack Installation: Speaking more detailed, here recommend http://
This is the first article in the Elasticsearch 2.4 release series:
Elasticsearch First article: Installing Elasticsearch under Windows
Elasticsearch Introduction Second article: Cluster configuration
Elasticsearch Introduction Third: Index
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