elasticsearch query dsl

ObjectivePrior to the project to do Elasticsearch related development, although the use of third-party components plainelastic.net, but because of the unfamiliar usage at the time, and chose their own stitching query statements. For example:stringQuerygroup ="{\ "query\": {\ "match\": {\ "roomid\": \ "Friend_12686_10035\" }}}"; //keyword

shard.The default mode is SINGLE_THREAD .Elasticsearch's Javaapi Delete by queryThe Delete by Query API allows you to delete documents based on a query, from one or more based on index and one or more type. Here is an example:Import static Org.elasticsearch.index.query.filterbuilders.*;import static org.elasticsearch.index.query.querybuilders.*;D Eletebyqueryresponse response = client.preparedeletebyquery

}}:{{port}}/delete_demo/demo/awexgsdw00f4t28wapen Java Client public class Elkdaotest extends basetest{ @Autowired private resthighlevelclient rhlclient; Private String index; Private String type; Private String ID; @Before public Void Prepare () { index = "Delete_demo"; Type = "Demo"; id = "AWEXGSDW00F4T28WAPEO"; } @Test public Void Delete () { deleterequest deleterequest = new Deleterequest (index,type,id);

) {Integer ID= (Integer) hit.getsource (). Get ("id"); String name= (String) hit.getsource (). Get ("name"); String function= (String) hit.getsource (). Get ("Funciton"); List.add (NewEsbean (ID, name, function)); } } returnlist; }The third step is to write the entity class Esbean Public class esbean{private String reg_id; Private String organization; Omitting setter and getter methods; Public Esbean (String reg_id,string organization) {Super(); this. reg_id=reg_id; this. organiz

No. 365, Python distributed crawler build search engine Scrapy explaining-elasticsearch (search engine) queryElasticsearch (search engine) queryElasticsearch is a very powerful search engine that uses it to quickly query to the required data.Enquiry Category:　　Basic Query : Query with

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

This chapter is translated from the partial matching chapter of the official Elasticsearch guide.Instant Search during query (Query-time search-as-you-type)Now let's look at how prefix matching can help with full-text search. The user is accustomed to seeing the search results before completing the input-this is called an Instant Search (Instant search, or Search

Demoindex:Use head for the following query, the results found that the results are not available. Here I have checked "show query statement".Unable to find the answer had to resort to "Elasticsearch server development." After reviewing the nested types of nested queries need to use a dedicated search format. First post the original book Description:{"Cloth": {"P

result set in cases where queries are paged with page and slice. Note that if you use the sort parameter to sort the results of a query and add a limit to the size of the result set, you can easily get the largest k elements or the smallest k elements. 3. using scan and scroll to process large result sets The Elasticsearch can use scan and scroll when working with large result sets. In spring Data

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.Dele

[Elasticsearch] adjacent match (3)-performance, associated word query and ShinglesImprove Performance Phrase and closeness queries are more expensive than simple match queries. The match query only checks whether the entry exists in the Inverted Index, while the match_phrase Query Needs to calculate and compare Multipl

work exactly the same way as prefix queries. They also need to traverse the list of entries in the inverted index to find all the matching entries, and then collect the corresponding document IDs on a per-entry basis. The only difference between them and prefix queries is that they can support more complex schemas.This also means that there is the same risk of using them. It is very resource-intensive to run such queries on a field that contains many different entries. Avoid using a pattern tha

Getquerybuilder (RequestType request, Boolquerybuilder Bq) {Getorderquerybuilder (request, BQ);Addpurchaseorderquerybuilder (request, BQ);}/*** Query conditions** @param request* @param BQ*/private void Getorderquerybuilder (RequestType request, Boolquerybuilder Bq) {Termquery exact match, no participle equals =Type.childtype Multilayer type nesting, specific index structure, reference mappingGET yourindexname/_mappingMapping:{"Yourindexname": {"Mapp

First, a query, you need to establish a searchrequestbuilder, which will give a query for which index or type, and all the settings can be implemented here, such as fuzzy query, scope query, prefix query.Searchrequestbuilder Responsebuilder = Client.preparesearch ("case"). Settypes ("Case_info");Two. Total number of st

(Springjunit4classrunner.class) @ContextConfiguration (locations = "Classpath:applicationContext.xml") public class TestES {@Autowired @Qualifier ("esclient") Private CLient client; @Test public void Testsearch () {String index= "index_log_daily"; String type= "Uq_log"; String uquestion = "139"; String province = "Jiangsu"; SearchResponse SearchResponse = Client.preparesearch (index). Settypes (Type). Setquery (Quer Ybuilders.matchallquery ())//

Elasticsearch Neighbor Query Sample Java API mode:1 spannearquerybuilder span = querybuilders.spannearquery (); 2 span.clause (Querybuilders.spantermquery ("Text", "Learning")); 3 span.clause (querybuilders.spantermquery ("Text", "union")); 4 Span.inorder (true). Slop (1); 5 Searchrequestbuilder rs = client.preparesearch ("Weiboall")6 . Setquery (span). Setfrom (0). SetSize (+); 7 SearchResp

The and symbol determines that multiple columns exist: {"Filter": {"and": [{"Exists": {"Field": "Sid"}},{"Exists": {"Field": "Level"}}]}} BOOL Combination {"Filter": {"and": [{"or": [{"Match_phrase": {"DisplayName": "S"}},{"Match_phrase": {"DisplayName": "L"}}]},{"Match_phrase": {"DisplayName": "A"}},{' Not ': {"Match_phrase": {"displayname": "P"}}}]}} Note: Similar and symbols replaced with bool must actually result in the same;Elasticsearch determin

(600000)). Execute (). Actionget (); //break condition:no Hits is returned if (Scrollresp.gethits (). Gethits (). Length = = 0) { break; }}Threading OperationsThe search API allows you to set up threads to perform operations so that the actual ginger execution API executes on the same node (the API executes on a shard that is assigned on the same server).There are three kinds of threading modes, the NO_THREADS mode means that the query operati

Query type QueryType Description Background code Sample Matchallquery Full match QueryBuilder QB = Matchallquery (); Matchquery Single match QueryBuilder QB = Matchquery ("Name","Kimchy Elasticsearch"); Multimatchquery Multi-field Single value matching QueryBuilder QB = Multimatchquery ("Kimchy

I want to implement an effect similar to the following SQL statement:Select * from where inch ('7a482589-e52e-0887-4dd5-5821aab77eea',' C68ACE46-1C07-FCCF-1CB6-57D4E77E40A2','3c9263d2-c44b-a9fd-155e-57aaf783ed58 ','69b087df-eb62-3e70-2cc0-582ec84a561b')The corresponding ES query should be written as:$v is a collection of rw_id, GET/_search{ "query" : {"Filtered" : {"Filter