elasticsearch stats api

Elasticsearch provides a very comprehensive and powerful rest API that you can use to interact with your cluster. The few things you can do with the API are as follows: Check your cluster, node, and index health status and statistics Managing cluster, node, and index data and metadata Perform crud (Create, read, update, and delete) indexes and se

": {}}}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

(). Getsuggestion (Suggestzhname). GetEntries (); the for(SUGGEST.SUGGESTION.ENTRYextendsSuggest.suggestion.entry.option>OP:RESULT1) { thelistextendssuggest.suggestion.entry.option> options =op.getoptions (); the if(Suggestlist.size () Number ) { + for(Suggest.Suggestion.Entry.Option pp:options) { - if(Suggestlist.size () Suggestlist.contains (Pp.gettext (). toString ())) { the Suggestlist.add (Pp.gettext (). toString ());Bayi

(); LongThen, according to the primary key to update the ES information, which does not appear in the field to update, do not overwrite the original value.Updateresponse response = ElasticsearchConfig.client.prepareUpdate ("index", "type", "PRIMARY Key ID") . Setdoc ( Xcontentfactory.jsonbuilder (). startobject () field ("business Field 1", "2") . Field ("Busine

Elasticsearch is a Lucene-based search server. It provides a distributed multi-user-capable full-text search engine, based on a restful web interface. Elasticsearch is developed in Java, as the current popular enterprise-class search engine, used in cloud computing , can achieve real-time search, and has a stable, reliable, fast installation, ease of use and many other advantages, most enterprises are favor

The previous blog introduced the use of the simple query API in ES, and this article describes the use of the aggregation API provided by ES. The aggregation capabilities provided by ES can be used for simple data analysis. This article is still an example of the data provided above. The data are as follows: Studentno name male Age Birthday Classno Address Isleader

":" String "}," raw ": {" type ":" string "," index ":" Not_analyzed "}}}}The above file says that we define its mapping for Index_type, the index type. The point is to map the name field to two, one to name the index analysis, and the other to not analyze raw, which will not split the phrase New York. So when we do the search, we can do the term aggregation for the Name.raw field and get the number of occurrences in all cities. Term Aggregation's The rest method requests are written as follows

, "found": true, "_source": {"title": "My First blog entry", "Text": "Just trying th Is out ... "," date ":" 2014/01/01 "}}For each situation found:[Email protected] ~]# Curl 192.168.100.10:9200/website/blog/1235?pretty{"_index": "website", "_type": "blog", "_id" : "1235", "found": false}_source is the content of the document. You can specify a value to return the field specified by the document[Email protected] ~]# curl-i-xget "192.168.100.10:9200/logstash-2016.05.12/syslog/avsliby3bzztddjuagzh

-d ... function Map ($type, $data) { return $this->call ($type.'/_mapping ', Array (' method ' = ' PUT ', ' content ' = $data)); } //curl-x PUT Http://localhost:9200/{index}/{type}/{id}-D ... function Add ($type, $id, $data) { return $this->call ($type.'/'.$id, Array (' method ' = ' PUT ', ' content ' = $data)); } //curl-x GET http://localhost:9200/{index}/{type}/_search?q= ... function Query ($type, $q) { return $this->call ($type.'/_search '. Http_build_query

osjsondatetimedatetimedjango.httphttpresponsereelasticsearchelasticsearches= Elasticsearch ([]=) Res8=es.search (==={ :{ :{ :{ ::} } }}) statistic (): (): hitres8[][]:a= (%hit+%hit[]) a=re.split (a); a rowa: id=row[] =row[] id HttpResponse (a)Elasticsearch API Python Calls

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 operation at a r

).curl localhost:9200/_bulk?pretty --data-binary @data.jsonSimilarly, if you follow the above definition of _index but do not define _type, then the index is test123 and the type is the type specified in our Curl command.Execute the above command curl http://localhost:9200/test123/test123/_bulk?pretty --data-binary @data.jsonGet the following results{ "took" : 1233, "errors" : false, "items" : [ { "index" : { "_index" : "test123", "_type" : "test123", "_id" : "1", "_ver

example, you have the following fileconfig/scripts/template_gender.mustache{ "template" : { "query" : { "match" : { "gender" : "{{param_gender}}" } } }}This can be done in the following ways:SearchResponse sr = client.prepareSearch() .setTemplateName("template_gender") .setTemplateType(ScriptService.ScriptType.FILE) .setTemplateParams(template_params) .get();You can also store the template in a special index na

The official PHP API is written in the ribs, and the following class can be manipulated using the ES API. [PHP]View Plaincopyprint? Class ElasticSearch { public $index; function __construct ($server = ' http://localhost:9200 ') { $this->server = $server; } function Call ($path, $http = Array ()) { if (! $this->index) throw

In the 2.X version, this delete by query function was removed because the official thought it would cause some errors to install the plugin itself if needed.Bin/plugin Install Delete-by-queryWhen you need to useDELETE/Index name/type/_query{"query"needed to be emptied: {"match_all " : {}}}Then in the 5.x version of the API is again the official back to the self-feature. That's what the new feature says.Delete-by-query and update-by-query back to the c

Count APIThe Count API allows developers to simply execute a query that returns the total number of documents that match the query criteria. It can be executed across multiple indexes and across multiple types.import static org.elasticsearch.index.query.xcontent.FilterBuilders.*;import static org.elasticsearch.index.query.xcontent.QueryBuilders.*;CountResponse response = client.prepareCount("test") .setQuery(termQuery("_type", "type1")) .execute() .ac

PHP through the API to search ES after the discovery can only get 10 data, search statements as follows:{ "Query":{ "filtered":{ " Query ":{" Query_string ":{ "Query": "level:\" warning \ "andsource_name:\" asp.net\ "", "Analyze_wildcard":true }}, " Filter ":{" bool ":{ "must":[ { "Range": { "@timestamp": { "GTE": 1494309300, " LTE ":1494489299, "format": "Epoch_second" } }} ], "Must_ Not ":[]}} }}}Other ES if no size is specified, the default

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 (Jsonbuilder (). StartObject (). Field ("User","Kimch

Elasticsearch JAVA API is extremely extensive, it is obviously not realistic to introduce all the method meanings. From 1.x to 2.x, to 5.x, finally to 6.0, but also in just two or three years, I picked 5.4.0 version of the three parts of the usual use of sorting out, the meaning of the parameters of the method I do not introduce, Elasticsearch basic friends shoul

The main content of this article:1 common operations for ElasticSearch2 ElasticSearchBulk Command ES REST APIThe Elasticsearch supports a variety of communications, including the HTTP request response service, so you can send HTTP requests with the Curl command and get the JSON return content.Common REST requests are:Check cluster statusCurl Localhost:9200/_cat/health?vCheck node statusCurl Localhost:9200/_cat/nodes?vQuery all IndexesCurl Localh