elasticsearch analyzer query

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

I was asked this question when I was reporting to my superiors today, and I didn't come back.English Original:Https://www.elastic.co/guide/en/elasticsearch/guide/current/_queries_and_filters.htmlThe first thing we talked about is structured query statements, in fact we can use two structured statements: Structured queries (query DSL) and structured filtering (fil

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

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

(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