The concepts in Elasticsearch are analogous to traditional databases:
Columns, Tables, Databases, relational DBElasticsearch, Indices, Types,
Import Data API:
Curl-xpost ' http://localhost:9200/prd/xjb3/_bulk--data-binary@Last.json
The data format in the Last.json file is shaped like the:
{"Index": {"_id": "1"}}{"Account_number": 1, "balance": 39225, "FirstName": "Amber", "L
I. Updating DocumentsThis example shows how to update we previous document (ID of 1) by changing the name field to "Jane Doe":Curl-xpost ' 192.168.56.101:9200/customer/external/1/_update?pretty '-d '{"Doc": {"name": "Jane Doe"}}‘This example shows how to update we previous document (ID of 1) by changing the Name field to ' Jane Doe ' and at the same Time add an age field to it:Curl-xpost ' 192.168.56.101:9200/customer/external/1/_update?pretty '-d '{"
/who_jdbc_river/_meta '-d ' {"type": "JDBC","jdbc": {" Driver": "Com.mysql.jdbc.Driver"," url": "Jdbc:mysql://localhost:3306/profile","user": "Root","password": "Root","SQL": "SELECT ID as _id,name,login_name from user","index": "Profile","type": "User","Bulk_size":"max_bulk_requests":" bulk_timeout": "10s"," flush_interval": "5s"," Schedule": "0 0-59 0-23?" * *" }} '* Incremental update indexincremental update, the table requires a maintenance timestamp, and the column that discovers the times
ElasticSearch, referred to as ES, is a lucene-based distributed full-text Search server, and SQL Server full-text index (fulltext index) a bit similar, are based on word segmentation and segmentation of the full-text search engine, with participle, synonym, stem query function , but ES inherently has distributed and real-time properties.One, install the Java SE EnvironmentInstall the Java JDK and configure the Java_home environment variables:1, downlo
Elasticsearch is a distributed, restful search and Analysis server, like Apache SOLR, which is a lucence-based index server, but I think the advantage of Elasticsearch versus SOLR is:
Lightweight: Easy to install, download the file after a command can be started;
Schema Free: You can submit JSON objects of any structure to the server, using Schema.xml to specify the index structure in SOLR;
Mul
Elasticsearch + Logstash + Kibana install X-Pack in the software package,Elasticsearch + Logstash + Kibana install X-Pack
X-Pack is an extension of an Elastic Stack that includes security, alarms, monitoring, reporting, graphics, and machine learning functions in an easy-to-install software package.1. install X-Pack in elasticsearch
Follow these steps to install
ElasticSearch 2 (9)-a summary of the story under ElasticSearch (a plot search)First top-down, after the bottom-up introduction of the elasticsearch of the bottom of the working principle, to try to answer the following questions:
Why doesn't my search *foo-bar* match foo-bar ?
Why do you add more files to compress indexes (index)?
Why does
Before you introduce the usage of Elasticsearch, let's talk about why you should use it. First of all to learn the search engine, certainly inevitably have heard LUCENE,SOLR and Elasticsearch are based on it. Spinx many articles, but the database is too intrusive (plug-in mode). Elasticsearch is one of the most popular distributed search engines of the moment. SO
First, IntroductionElasticsearch 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.Lucene is just a framework to take advantage of its functionality, to use Java, and to integrate Lucene into the program. To make things worse, Lucene is very complex and requires a lot of learning to understand how it works.Elasticsearch u
Elasticsearch Java API (ii): index create delete cluster managementElastic official website has the authoritative Java API English needs to be patient to see here to tidy up the basic operationCreate a MAVEN project to add dependencies First, customize a client to connect ES/*** Created by Forgeeks at 2017-03-22 18:27*/ Public classmyclient {PrivateSettings Settings; Privatetransportclient Client; Privateindexresponse response; Publicindexresp
command
Curl-xput http://localhost:9201/_cluster/settings-d '
{
"persistent": {
"Discovery.zen.minimum_master _nodes ": 2
}
}"This is a permanent configuration, priority is higher than the configuration in the configuration file, you should modify the configuration, whether you are adding a node or deleting a node.
To view the current minimum_master_nodes value of a configuration cluster
Curl
separate document. However, if the previous query is executed, no documents will be returned. This is because, for nested files, you need to use a specialized query. Therefore, the query is as follows (of course, we have created the index and the type again): Curl-xget ' localhost:9200/shop/cloth/_search?pretty=true '-d ' {"Query": {"nested": {" Path ":" Variation "," query ": {" bool ": {" must ": [{" term ": {" variation.size ":" XXL "}},{" term ":
When Size-from is greater than 10000 when using Elasticsearch for deep paging queries, an error ""The official recommendation is that the scroll query returns results that are unordered and do not meet the business requirements, so we can achieve our goal by setting the maximum number of returned results.Then we can set it up in the following ways:First type: Curl-xput http://127.0.0.1:9200/_settings-d ' {"
This article is at that time QQ group members discussed how disk space optimization, I searched a similar article, combined with official documents to do some summary
Reference article 1
Reference Article 2
If you have questions, you can contact me to participate in the discussion, or go to the original view.
Note: disk space Savings is a matter of gain and loss. To save disk space, certain features will be affected, and if the affected features you don't need, you can adopt the corresponding di
Elasticsearch service.Index on the Elasticsearch server, the first step is to create a connection to the server.Client client = TransportClient.builder().build() .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("127.0.0.1"), 9300));
2. Create a querybuilder.QueryBuilder you can set a query for a single field, or you can set up multiple fields.e.g.1: Query hibernate The
Elasticsearch IntroductionElasticsearch (ES), an open source search engine based on Apache Lucene (TM), can be considered as the most advanced, best-performing and most functional search engine library in the world, whether in open source or proprietary domain.However, Lucene is just a library. To play a powerful role, you need to integrate it into your app using C #. Lucene is very complex, and you need to understand the search knowledge to understan
I. Environmental preparedness
Role
SERVER IP
Logstash Agent
10.1.11.31
Logstash Agent
10.1.11.35
Logstash Agent
10.1.11.36
Logstash Central
10.1.11.13
Elasticsearch
10.1.11.13
Redis
10.1.11.13
Kibana
10.1.11.13
The architecture diagram is as follows:650) this.width=650; "src=" Http:
Due to project requirements, a set of ES services is required on the Linux platform. In the construction process, encountered a variety of problems. And then they all worked out. Now it is time to document the process, and the problems encountered, and how to resolve them.First, the Environment configuration
Operating system: Cent OS 7
Elasticsearch version: 1.4.1
JDK Version: 1.7
SSH Secure Shell version: 3.2.9
Original address: http://www.cnblogs.com/tianjixiaoying/p/4316011.htmlDue to project requirements, a set of ES services is required on the Linux platform. In the construction process, encountered a variety of problems. And then they all worked out. Now it is time to document the process, and the problems encountered, and how to resolve them.First, the Environment configuration
Operating system: Cent OS 7
Elasticsearch version: 1.4.1
J
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