SummaryIntroducing the internal principles of Elasticsearch Shard from the bottom and answering why is it necessary to understand the internal workings of Lucene using Elasticsearch?
Understand the cost of the Elasticsearch API
Build a FAST Search application
Don't commit at any time.
W
-write log)Because of the development of relational databases, the concept of a pre-written log (WAL) or transaction log (Translog) has long been pervasive in the database domain. In the event of a failure, translog can ensure the integrity of the data. The basic principle of translog is that changes must be recorded and submitted before the actual changes to the data are committed to disk.When a new document is indexed or the old document is updated, the Lu
;Lucene_version represents the version of Lucene on which Elasticsearch is based;The tagline ——— contains the first tagline of Elasticsearch: "You are Know, for Search".
Ii. Rich-text versionBeginners can start with the rich-text version of Elastisearch. RTF is the abbreviation for ready to fly, which is an integrated basic plug-in (such as service encapsulation
Full-text Search is the most common demand, Open-source Elasticsearch is currently the first choice of Full-text search Engine.It's at the bottom of the open Source Library lucene, But we can't use Lucene directly. You must write the code yourself to invoke its interface.The Elasticsearch is a
Directory (?) [+]Open Source Search engine evaluation: Lucene Sphinx elasticsearch Open Source Search engine program has 3 major categories
Lucene System, Java development, including SOLR and Elasticsearch
Sphinx, C + + development, simple and high performance
Xapian, C + + development
Search Engi
[Elasticsearch] control relevance (2)-The PSF (Practical Scoring Function) in Lucene is upgraded during Query
Practical Scoring Function in Lucene
For Multiterm Queries, Lucene uses the Boolean Model, TF/IDF, and Vector Space Model to combine them, used to collect matching documents and calculate their scores.
Query
be assigned on the same node.
It allows you to extend the search volume/throughput because searches can be performed in parallel on all replicas.
In summary, each index can be divided into multiple shards. Each index can also be duplicated 0 times (meaning no replicas) or multiple times. Once replicated, each index will have a primary shard (the copied original shard) and a secondary shard (a copy of the primary shard). You can define the number of fragments and replicas based on the ind
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
I. Introduction of Lucene1. About LuceneThe most popular open source full-Text search engine Development toolkit for Java . Provides a complete query engine and indexing engine, partial text word breaker (English and German two Western languages). Lucene's goal is to provide software developers with an easy-to-use toolkit to facilitate full-text retrieval in the target system, or to build a complete full-text search engine on this basis. is Apache sub-project, URL: http://lucene.apache.org/2.
processing.
LUCENE,SOLR, ElasticSearch?Now the mainstream search engine is probably: Lucene,solr,elasticsearch.They are indexed based on an inverted index, what is an inverted index?
WikipediaInverted index (English: Inverted index), also often referred to as a reverse index, place file, or reverse file, is an indexed method that is used to store t
:[Elasticsearch] control correlation (i)-The theory behind the calculation of the correlation degree score[Elasticsearch] Control Correlation (ii)-PSF in Lucene (practical scoring Function) and elevation during query[Elasticsearch] Control Correlation (iii)-Adjustment of correlation by query structure and boosting quer
1.ElasticSearch Simple DescriptionA.elasticsearch is a Lucene-based search server with distributed multiuser capabilities, Elasticsearch is an open source project (Apache License terms) developed in Java, based on a restful web interface that enables real-time search, Stable, reliable, fast, high performance, easy to install and use, and its scale-out capability
Why do I need a search engineThe purpose of the search is to quickly look for what is needed without browsing the entire site. The results should be sequential, the higher the correlation, the better the result should be. Filter to optimize the overall relevance of the search results
The search cannot be too slow
Because the traditional relational database can't solve this kind of problem well, it needs to introduce a special search engine. The use of Elasti
Analysis Interface: Whatever the language, just implement your own text analyzer and you can use it. User-friendly extension of new languages. The default implementation of the query engine: Lucene default implementation of Boolean query, fuzzy Query, group query, etc., users can easily use the query function. related products of Lucene Compass
Campass is the enhancement of
Original Blog LinkIn this series of articles, we will use a new perspective to analyze Elasticsearch. Let's start with some bottom layer of abstraction and move up to the user's perspective. The data structures and behaviors within the Elasticsearch are learned during the period.
Describes inverted index and Word item creation index segment index segment Elasticsearch
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
full-text search. We'll introduce you to structured search, statistics, query filtering, geo-location, AutoComplete, and tips you're not looking for. We'll also explore how to model data to improve the performance of elasticsearch and how to configure and monitor your cluster in a production environment.Elasticsearch is an open source, distributed, restful search engine built on Lucene. Designed for cloud
module by yourself and use the Shortest Path splitting method, you can refer to the online materials and demo source code.The cpu usage is high when the index is added. When the access volume is large, the cpu idle is 0.The default scoring mechanism is not reasonable and needs to be customized according to your own business.
As a whole, lucene is difficult to use. It must be expanded in the above aspects to serve as a commercial search engine.
Search engine Selection Research Document ELASTICSEARCH Introduction *Elasticsearch is a real-time, distributed search and analysis engine. It can help you deal with large-scale data at an unprecedented rate.It can be used for full-text search, structured search and analysis, and of course you can combine the three.Elasticsearch is a search engine based on the full-text search engine Apache
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