elasticsearch bulk example

This blog provides an easy way for Elasticsearch to index multiple documents. The support of Bulk API can implement batch add, delete, update and so on once request. The bulk operation uses the UDP protocol, and UDP cannot ensure that data is not lost when communicating with the Elasticsearch server.First,

This blog describes an easy way to index multiple documents Elasticsearch. The support of the Bulk API enables you to perform batch additions, deletions, updates, and so on at one time. The bulk operation uses the UDP protocol, and UDP cannot ensure that data is not lost when communicating with the Elasticsearch server

ElasticSearch configuration example and elasticsearch example ##################### ElasticSearch configuration example ################ ##### # This file contains an overview of various configuration settings,# Targeted at operat

": "Jobbole", "_type": "Job", "_id": "6"}}{"title": "Development", "Salary_min": "City": "Beijing", " Company ": {" name ":" Baidu "," company_addr ":" Beijing Software Park "}," Publish_date ":" 2017-4-16 "," Comments ": 15}Bulk Bulk Operations Bulk Delete dataPOST _bulk{"Delete": {"_index": "Jobbole", "_type": "Job", "_id": "5"}}{"delete": {"_index": "Jobbole",

Bulk batch Import Batch import can merge multiple operations, such as index, delete, update, and create. It can also help to import data from one index to another. The syntax is roughly as follows; action_and_meta_data\noptional_source\naction_and_meta_data\noptional_source\n....action_and_meta_data\noptional_source\n Note that each piece of data is composed of two rows (except delete). Other commands, such as index and create, are composed of metadat

= Client.preparedelete ("Twitter", "tweet", "1") . setoperationthreaded (False) . Execute () . Actionget (); The bulk of the javaapi of Elasticsearch The Bulk API can be used to retrieve and delete multiple data in a single request, and here is an example: Import Static org .

The bulk processing functionality provided by Elasticsearch is implemented by using the _bulk API. This feature is important because it provides a very efficient mechanism to complete multiple operations as quickly as possible, while using as few network round trips as possible.1, batch index, that is, batch add documentsTwo documents (ID 1-john doe and ID 2-jane Doe) were indexed in a

Bulk APIThe bulk API allows developers to index and delete multiple documents in a single request. Here is the usage instance.ImportStatic org.elasticsearch.common.xcontent.xcontentfactory.*; Bulkrequestbuilder bulkrequest = Client.preparebulk ();Either use Client#prepare, or use requests# to directly build Index/delete Requestsbulkrequest.add (client.prepareindex ("Twitter","Tweet","1"). SetSource (Jsonbui

Write the following data to requests{"Create": {"_index": "Index1", "_type": "Resource", "_id": 1}} {"title": "Stephen Chow Chi latest movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 2}} {"title": "Stephen Chow's best-looking new movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 3 } {"title": "Stephen Chow the latest movie, Best, new movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 4}} {"title": "The most Best new new new New Movie "} {"

-cluster/elasticsearch-node2/logs[[email protected] logs]# lselasticsearch-cluster-centos_index_indexing_slowlog.log elasticsearch-cluster- Centos.log elasticsearch-cluster-centos_index_search_slowlog.log7. Our simple cluster configuration is complete. View the clusterBecause we have the head plugin installed, we can see through the plugin that the virtual ma

put something in the customer index. The first thing to know is that in order to index a document, we have to tell Elasticsearch which type (type) The document will go to. Let's index a simple customer document to the customer index, the "external" type, and the ID of this document is 1, as follows:Curl-xput ' Localhost:9200/customer/external/1?pretty '-d '{"Name": "John Doe"}' The response is as follows:Curl-xput ' Localhost:9200/customer/external

PHP Bulk Delete Database under the specified prefix table with Prefix_ as an example, bulk delete prefix How to use PHP to bulk delete all tables prefixed with prefix_ in the database. example, uniformly remove the table prefixed with "prefix_". "; } } } ? > Operation

Install Nodejs:Yum Install NodejsRun the node command to see if the installation was successful:You can see the successful entry to the command line and the installation is successful.The node command is preceded by a dot, using. Help to see which commands are available:Use. Exit to exit.Installing the NODEJS Package management tool NPM:Yum Install NPMTo install a package in Nodejs using NPM:When installing the package with the NPM command, you encounter an issue with HTTPS authentication, turn

(Newinetsockettransportaddress (Inetaddress.getbyname (testes.host), testes.port)); Indexresponse Response=client.prepareindex ("Twitter", "tweet", "1"). SetSource (Xcontentfactory.jsonbuilder (). StartObject () . Field ("User", "Kimchy"). Field ("Postdate",NewDate ()). Field ("Message", "trying out Elasticsearch"). EndObject ()). get (); System.out.println ("Index Name:" +Response.getindex ()); System.out.println ("Type:" +Response.gettype ()); Syst

Reprint: Http://m.blog.csdn.net/u012546526/article/details/74184769Elasticsearch Java API Common query Methods QueryBuilder Construction Example Environment Elasticsearch version5.1.1PomDependency> groupId>Org.elasticsearchgroupId> Artifactid>ElasticsearchArtifactid> version>5.1.1version>Dependency>Elasticsearch Index Mode number{ "type": "Long"}Strin

ES (Elasticsearch) suggester A total of four categories (term suggester, phrase suggester, completion suggester, context Suggester), Among them, completion suggester as the auto-completion function in the search box, especially used.This article will implement a simple example in the Java language to describe how to use completion suggester.The main function of the exam