elasticsearch query all

(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 ())//

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

Elasticsearch's Javaapi query dsl-filtersand theLike the REST query DSL, Elasticsearch provides a complete Java query DSL. The Factory filter Builder isFilterBuildersOnce you have your query ready, you can use the query API.How do

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

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

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

Fields-centric queries (Field-centricQueries) All of the above three problems come from the fact that most_fields is Field-centric rather than Term-centric): It will query the most matched fields (Mostmatchingfields), and we are really interested in the most matched entry (Mostmatchingterm Fields-centric Queries (Field-centric Queries) All of the above three prob

Rich query Statements: #match查询 This will separate the two characters of the reptile from the case of Word get lagou/_search { "query": {" match": {" title": "Reptile" } } } #term查询 Reptilian Word does not handle unresolved fields get lagou/_search { "query": {" term": {" title": "Crawler" } } } #terms查询 as long as a field in the list and retu