elasticsearch api

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Elasticsearch Performance Optimization Scheme

Elasticsearch performance optimization is mainly divided into 4 aspects.First, Server Deployment1. Add 1-2 servers for load Balancing section Point There are 2 parameters in the Elasticsearch configuration file: Node.master and Node.data.When used together, these two parameters can help provide server performance. Node.master:falseNode.data:truethe node server serves only as a data node and is used to store

Pits Guide to Kubernetes fluentd+elasticsearch+kibana log setup

Kubernetes Release:stac Kdriver Logging for use with Google Cloud Platform, and Elasticsearch. You can find more information and instructions in the dedicated documents. Both use FLUENTD with custom configuration as a agent on the node.Okay, here's our pits guide.1. Preparatory work The Kubernetes code in GitHub is planted down to master local. git clone https://github.com/kubernetes/kubernetes Configure ServiceAccount, this is

Real-time synchronization of-hbase data to elasticsearch for high stability and high performance (one)

Recently has been focus in the construction of ETL data Center this piece, the need to put hbase several tables of data in real-time synchronization to Elasticsearch, research for a period of time, on the Internet can refer to just a few documents: 1. The HBase data is synchronized to the Elasticsearch scenario 2. Synchronize data to Elasticsearch 3 using the HBa

2, Elasticsearch installation and plug-in installation

1. Install Elasticsearch cluster1. Download elasticsearch-2.0.0.tar.gz, perform TAR-ZXVF elasticsearch-2.0.0.tar.gz decompression2. Modify CONFIG/ELASTICSEARCH.YML (be careful not to shelf the first letter with a space, followed by a space after the colon)If you want to configure the cluster to require two nodes on the Elasti

Open source Distributed search Platform Elk (elasticsearch+logstash+kibana) +redis+syslog-ng realize log real-time search

Turn from: http://blog.c1gstudio.com/archives/1765 Logstash + Elasticsearch + kibana+redis+syslog-ng 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. Logstash is a platform for application log, event transmission

Configure the elasticsearch and river-mongodb plug-ins on windows

Configure the elasticsearch and river-mongodb plug-ins on windowsInstall ElasticSearch 1. Download The elasticsearch installation package. 2. decompress the elasticsearch package to the installation directory. For example, D: \ Elasticsearch, and add D: \

Kibana+logstash+elasticsearch Log Query system

The purpose of building this platform is to facilitate the operation of the research and development of the log query. Kibana a free web shell; Logstash integrates various collection log plug-ins, or is a good regular cutting log tool; Elasticsearch an open-source search engine framework that supports the cluster architecture approach.1 Installation Requirements 1.1 theoretical topology1.2 Installation Environment 1.2.1 hardware environment192.168.50.

elasticsearch-php namespaces

Name spaceThe client has a lot of namespaces and can often burst out of the functionality he manages. namespaces correspond to the endpoints of various elasticsearch management. The following is a list of the completed namespaces: name Space function Indices () Index-centric statistics and information Nodes () Node-centric statistics and information Cluster () Clu

Configuring the Elasticsearch and River-mongodb plugins on Windows

Tags: elasticsearch river-mongodbInstalling Elasticsearch1. Download the Elasticsearch installation package. Https://www.elastic.co/downloads/elasticsearch2. Unpack the Elasticsearch package to the installation directory. such as D:\Elasticsearch, and add D:\Elasticsearch\bi

Elasticsearch _default_--Adding a default mapping for an index

As stated in the previous article, ES can automatically index documents. But here's the problem-- What if the index of the default setting isn't what we want? To know es this search engine is the actual partition with index, index contains different types, different types are logical partitions, each type may contain the same field, if the type of field is the same OK, if different .... That will cause a conflict in the field. This article describes how to set the default index using t

Elasticsearch Plug-in development

, Restchannel Channel, client client) throws Exception {Logger.debug ("helloworldaction.handlerequest called"); final String name = Request.hasparam ("name")? Request.param (" Name "):" World "; String content = "{\" success\ ": true, \" message\ ": \" Hello "+name+" \ "}"; Restresponse response = new Bytesrestresponse (Reststatus.ok, Bytesrestresponse.text_content_type, CONTENT); Channel.sendresponse (response);}}Finally, under the Classpath root, add a file named Es-plugin.properties that spec

Use the Laravel Search extension package for full-text search based on Elasticsearch, Algolia, and Zendsearch

The Laravel Search extension package provides a unified API for different full-text search services, and the currently supported search services include ElasticSearch, Algolia, and Zendsearch. 1. Installation We install this dependency package via composer: Composer require Mmanos/laravel-search Dev-master After the installation is complete, register the service provider to the providers array in confi

For monitoring Elasticsearch health status scripts in Nagios

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=0state_warning=1state _critical=2state_unknown=

Getting Started with Elasticsearch and Kibana

1. Elasticsearch Common terms Document documents DataThe index index (a concept that can be understood as a database in MySQL, where all document is stored in a specific index.) )Type of data in the index (can be easily understood as a table in MySQL)Field fields, document properties (such as user's document, age, name attribute)Query syntax for querying DSL 2. Elasticsearch CRUD Operations Create docume

Getting Started with elasticsearch clusters

First, download and install Elasticsearch relies on Java, the first to install ES before installing the Java, which is the default of our computer has been completed. Elasticsearch requires a minimum JDK version of 1.7.First download the installation package from Elasticsearch official website, we are Linux system, download the TAR package is more convenient. Th

Elasticsearch 2.2.0 Word Segmentation: Chinese Word Segmentation

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 plug-in installation head, Kopf and Bigdesk

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

CENTOS6.5 installation Log Analysis Elk Elasticsearch + logstash + Redis + Kibana

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

Elasticsearch Learning Notes (iv) Mapping mapping

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.

Installation Logstash,elasticsearch,kibana three-piece set

Original address: http://www.cnblogs.com/yjf512/p/4194012.htmlLogstash,elasticsearch,kibana three-piece setElk refers to the Logstash,elasticsearch,kibana three-piece set, which can form a log analysis and monitoring toolAttention:About the installation of the document, there are many on the network, can refer to, not all the letter, and three pieces of the respective version of a lot, the difference is not

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