elasticsearch search performance

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 f

, write the logical processing functionImplementing search data in logical processing functions(1) Get the user's search terms(2) using the native Elasticsearch (search engine) interface, to achieve the search, annotated:ELASTICSEARCH-DSL is on the original

No. 371, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) with Django implementation of my search and popularThe simple implementation principle of my search elementsWe can use JS to achieve, first use JS to get the input of the

No. 371, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) with Django implementation of my search and popularThe simple implementation principle of my search elementsWe can use JS to achieve, first use JS to get the input of the

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# Creat

blocking, poor query performance, and Elasticsearch has obvious advantages.As the amount of data increases, SOLR's search efficiency becomes lower, and Elasticsearch does not change significantly.In summary, SOLR's architecture is not suitable for real-time search applicati

Distributed search ElasticSearch cluster creation and simple search instance applications ElasticSearch is not introduced. Distributed ElasticSearch cluster construction method. 1. Create an embedded elasticsearch Node in the prog

, developed rapidly, based on Lucene, RESTful, distributed, cloud-oriented design, real-time search, full-text search, stability, high reliability, extensible, installation + easy to use, introduction are said to be very pleasant, Good to take out for a walk. Did a simple test, in two identical virtual machines, 20 million or so data, Elasticsearch inserted data

to multiple types of applications without the need for Java encoding. SOLR has a plug-in architecture to support more advanced customization.Since the 2010 Apache Lucene and Apache SOLR Project were merged, two projects were made by the same Apache Software Foundation development team. When referring to technology or products, LUCENE/SOLR or Solr/lucene are the same.Advantages and disadvantages of SOLR SOLR has a larger, more mature community of users, developers, and contributors.

Elasticsearch. 6. Shards (partition) and replicas (replication): Each index theoretically can contain a large amount of data, more than the storage limit of a single node, and a single node processing such large data, will significantly limit the storage and search performance, in order to solve this problem, ES will further subdivide the index physically into m

multiple types of applications without the need for Java encoding. SOLR has a plug-in architecture to support more advanced customization.Since the 2010 Apache Lucene and Apache SOLR Project were merged, two projects were made by the same Apache Software Foundation development team. When referring to technology or products, LUCENE/SOLR or Solr/lucene are the same.The pros and cons of SOLRAdvantages SOLR has a larger, more mature community of users, developers, and contributors. Sup

Originally from: Http://www.oschina.net/p/elasticsearchElastic Search is an open source, distributed, restful search engine built on Lucene. Designed for cloud computing, it can achieve real-time search, stable, reliable, fast, easy to install and use. Supports data indexing using JSON with HTTP.ElasticSearch provides client-side APIs in multiple languages:

1, Elasticsearch (search engine) queryElasticsearch is a very powerful search engine that uses it to quickly query to the required data.Enquiry Category:Basic query: Query with Elasticsearch built-in query criteriaCombine queries: Combine multiple query criteria together for compound queriesFiltering: Querying at the s

Imagine this situation, if the score in the search results in the same situation: because the search will be balanced between the copies of the polling request, the request may appear in different copies of the sequence returned, which affects the stability of the sorting results.The search interface has the preference parameter provided: Curl localhost:9200/_sea

Chinese word breaker for query, performance is not good. The query efficiency is 2-3 times the standard by setting the word breaker in IK to the default word breaker.This configuration is specific as follows: Index: Analysis : Analyzer: ik: alias: [News_analyzer_ik,ik_analyzer] type: Org.elasticsearch.index.analysis.IkAnalyzerProvider Index.analysis.analyzer.default