elasticsearch alternatives

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Use elasticsearch to store logs

Introduction If you use elasticsearch to store your logs, this article provides you with some practices and suggestions. If you want to collect logs from multiple hosts to elasticsearch, you have the following options: Graylog2 is installed on a central machine. Then it inserts logs into elasticsearch, and you can use its beautiful search interface ~ Logstash

Anatomy of the Elasticsearch Cluster Series II: Distributed three C, Translog, and Lucene segments

Reprint: http://www.infoq.com/cn/articles/anatomy-of-an-elasticsearch-cluster-part02Consensus-the importance of split-brain issues and legal votesConsensus is a fundamental challenge for distributed systems. It requires that all processes/nodes in the system must agree on the value/state of the given data. There are already many consensus algorithms such as raft, Paxos, and so on, mathematically proved to be OK. However,

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,kibana,logstash,nlog Implementing ASP. NET Core Distributed log System

Elasticsearch,kibana,logstash,nlog Implementing ASP. NET Core Distributed log SystemElasticsearch official websiteElasticsearch DocumentationNLog.Targets.ElasticSearch PackageElasticsearch-IntroductionElasticsearch, as a core part, is a document repository with powerful indexing capabilities and can be used to search for data through the REST API.It is written in Java, based on Apache Lucene, although these details are hidden in the API.By indexed fie

Elasticsearch What is a document? Index a document _elasticsearch

What is a document. Most entities or objects in a program can be serialized to a JSON object that contains a key-value pair, the key is the name of the field or property, and the value can be a string, a number, a Boolean type, another object, an array of values, or other special types. For example, a string representing a date or an object that represents a geographic location. 1 { "name": "John Smith", "age": " confirmed": true, "join_date": " 2014-06-01" , "

Spring Boot + Elasticsearch

Spring Data Elasticsearch Elasticsearch 2.0.0.RELEASE 2.2.0 1.4.0.m1 1.7.3 1.3.0.RELEASE 1.5.2 1.2.0.RELEASE 1.4.4 1.1.0.RELEASE 1.3.2 1.0.0.RELEASE Https://github.com/helloworldtang/spring-data-elasticsearch1. None of the configured nodes is available orOrg.elasticsearc

Elasticsearch Chinese API River

RIVER-JDBC Installation./bin/plugin --install jdbc --url http://xbib.org/repository/org/xbib/elasticsearch/plugin/elasticsearch-river-jdbc/1.4.0.8/elasticsearch-river-jdbc-1.4.0.8-plugin.zipDocument two ways: River or feederThe plug-in can execute the river in "Pull mode" and execute feeder in "push mode". In feeder mode, the plug-in runs in a different JVM and c

What benefits can Elasticsearch:nginx bring to the ElasticSearch cluster?

Elasticsearch is an advanced, high-performance, extensible open-source search engine that provides both structured and unstructured data for full-text search and real-time analysis. It features a RESTful API that can be easily integrated into existing Web architectures using HTTP. Therefore, in the case of high concurrency, we can use Nginx reverse proxy load balancer to multiple Elasticsearch servers. Arch

Elasticsearch 5.1.1 Search Highlighting and Java API implementations

Java API implementationsJar Package Import Please refer to the previous blog Elasticsearch 5.X under the Java API Usage guideWrite a test class:Package Esjavapia5;Import Java. NET. InetAddress;Import Java. NET. Unknownhostexception;import org. Elasticsearch. Action. Search. SearchResponse;import org. Elasticsearch. Client. Transport. Transportclient;import org.

Insecure default in Elasticsearch enables remote code execution

Elasticsearch have a flaw in their default configuration which makes it possible for all webpage to execute arbitrary code on Visitors with Elasticsearch installed. If you ' re running Elasticsearch in development please read the instructions on how to secure your machine. Elasticsearch version 1.2 (which is unreleased

Elasticsearch How to add, retrieve data

Elasticsearch is a distributed document storage engine. It can store and retrieve complex data structures in real-time-serialized JSON documents. In other terms, once the document is stored in Elasticsearch, it can be retrieved on any node of the cluster.Of course, we not only need to store data, but also to quickly bulk query. While there are already many NoSQL solutions that allow us to store objects as d

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

Ubuntu 14.04 Build Elk Log Analysis System (Elasticsearch+logstash+kibana)

The system transportation and the development personnel can through the log to understand the server hardware and software information, examines the configuration process the error and the error occurrence reason. Regular analysis of the log can understand the server load, performance security, so as to take timely measures to correct errors. The role of the log is self-evident, but for a large number of logs distributed across multiple machines, viewing is particularly troublesome. Therefore, t

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

An open source distributed search engine---Elasticsearch (not to be continued)

Today, we introduce an open source distributed search engine Elasticsearch.First, Elasticsearch is a Lucene-based search server. It provides a distributed multi-user-capable full-text search engine, based on a restful web interface. Elasticsearch is the second most popular enterprise search engine developed in Java and published as an open source under the Apache license terms. Designed for cloud computing,

tutorial on using Python to manipulate elasticsearch data indexes _python

Elasticsearch is a distributed, restful search and Analysis server, like Apache SOLR, which is also based on the Lucence Index Server, but I think the advantages of elasticsearch contrast SOLR are: Lightweight: Easy to install startup, download files after a command can be started; Schema Free: A JSON object of arbitrary structure can be submitted to the server, and the index structure is specifie

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