use cases for elasticsearch

) Subversion River Plugin (by Pascal Lombard) DynamoDB River Plugin (by Kevin Wang) It can be seen that most data sources have been covered, especially relational databases that provide unified jdbc-river for data operations. The source code of elasticsearch-river-jdbc is: github.com/jprante/elasticsearch-river-jdbc. this project provides detailed documents. The following uses SQL Server as an example to de

collection from becoming too frequent;2. Set the XMX to no more than 50% of the physical RAM to ensure that sufficient physical RAM is available for the kernel file system cache;3. Do not exceed 32GB, which is recommended for JVM optimization;settings for the Shard: suggested reading this article;read/write optimization: Write the optimization, this reference under elastic Stack-elasticsearch use Introduct

Want to use their own blog ElasticSearch search, with the yii2-elasticsearch extension Did not use for a long time, did not understand Elasticsearch is a thing, is to get Mysql data into ES? Do you have to go to the msql every time to find out the data, one by one assigned

0. OverviewThe Spring Data Elasticsearch project provides integration with the Elasticsearch search engine. The key functional area of Spring data Elasticsearch is a Pojo central model for interacting with elastichsearch documents and easily writing a repository-style data access layer.0.1. Main functionsThe 1.Spring configuration supports XML namespaces that

Using the LaravelSearch extension package based on Elasticsearch, Algolia, and ZendSearch, the Laravel Search extension package provides unified APIs for different full-text Search services, currently, ElasticSearch, Algolia, and ZendSearch are supported. 1. Installation We use Composer to install this dependency package: composer require mmanos/laravel-searc

Here is a very good article, very good, translation and collation of a bit, English is good, suggest directly read the original: http://euphonious-intuition.com/2013/05/all-about-elasticsearch-filter-bitsets/Elasticsearch There are bool filter, and, or, not filter, these look very similar, what is the difference? When do you use Boolfilter? When do I

First, preface Write a blog, but also strive to write blog! Ii. Introduction of mapping Mapping is similar to the definition of a table structure in a database: here we imagine that the table structure definition requires those: 1. Fields and field types, reflected in the elasticsearch is the structure of the index, the fields of the definition of the Index field name and field type, the previous article has a brief description of the fields have

": {}}}Es.search (index= "Test_index", doc_type= "Test_type", Body=body) Or Es.search (index= "Test_index", doc_type= "Test_type") Exactly match term: #搜索name字段为Nicole的数据BODY = {"Query": {"term": {"Name": "Nicole"}}}Es.search (index= "Test_index", doc_type= "Test_type", Body=body) Keyword matches match: #搜索name字段包含Nicole关键字的数据 Body = { "query": { "Match": { "name": "Nicole" } } Es.search (ind

ElasticSearch java API-use More like this to implement Content-based recommendation ElasticSearch java API-use More like this to implement Content-based recommendation Content-based recommendations generally give a document information, and then recommend the documents that meet the document. Lucene's api provides an i

Useful Links:Most useful: http://es.xiaoleilu.com/054_Query_DSL/70_Important_clauses.htmlGood blog: http://www.cnblogs.com/letong/p/4749234.htmlOther 1:http://www.jianshu.com/p/14aa8b09c789Other 2:http://xiaorui.cc/1. Querying all content in an index#Coding=utf8 fromElasticsearchImportelasticsearches= Elasticsearch ([{'Host':'x.x.x.x','Port': 9200}]) index="Test"Query= {"Query":{"Match_all": {}}}resp= Es.search (Index, body=query) Resp_docs= resp["hit

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 config/app.php: ' providers ' = = Array ( //..

Kibanacurl-u es_kibana-xpost ' Http://10.100.100.60:9200/_shield/user/es_kibana '-d ' {"Password": "123456", "Roles": [ "Kibana_redis"}} ' returned {"User": {"created": true}} successfully nbSp;8, login Kibana browser run http://10.100.100.60:5601/login Es_kibana 123456 For example, only click Logstash-redis-input-*, there will be data (Figure 8-1), the other (Figure 8-2) , the error figure 8-1 Figure 8-2 is attached to the official website explanation: with Shield installed, if you load a Kib

Tutorial: Use rsyslog to push logs to kafka, elasticsearch, and rsyslogkafka This article introduces a simple method for pushing logs to kafka and elasticsearch using rsyslog, installing and using the rsyslog omkafka plug-in, and installing and using the rsyslog omelasticsearch plug-in. Kafka is an open-source distributed message system. The project homepage