kimchy

. Originally, the workflow would has looked something like this:put twitter{"mappings": {"user": {"Properties": {"Name": {"type": "Text"}, "user_name": {"type": "Keyword"}, "email": {"type": "Keyword"} }}, "tweet": {"Properties": {"content": {"type": "Text"}, "user_name": {"type": "Keyword" }, "Tweeted_at": {"type": "Date"}}}}}put twitter/user/kimchy{"name": "Shay Banon", "user_name": " Kimchy "," em

ElasticSearch JAVA API Official document: Https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/java-docs-index.htmlFirst, generate JSONThe first step in creating an index is to convert the object to a JSON string. There are four ways to create JSON documents:1.1 Handwriting Style generationString json = "{" + "\"user\":\"kimchy\"," + "\"postDate\":\"2013-01-30\"," + "\"message\":\"trying out Elasticsearch\"" +

congratulations, now you can build es stand-alone and Es clusters, everything is so simple. Let's take a look at the ES of the HTTP API insert, DELETE, update, find, search function, (es installed in the Ubuntu Server 64-bit 12.04LTS). Insert Let's start with a simple official example, insert a parameter for-xput, and insert a record. $ Curl-xput ' HTTP://LOCALHOST:9200/TWITTER/TWEET/1 '-d ' { "user": "Kimchy", "post_date": "2009-11-15t14 : 1

Elasticsearch's Javaapi query dsl-queriesLike the rest query dsl ,elasticsearch provides a complete Java query DSL. The Query Builder (factory) is QueryBuilders . Once you have your query ready , You can use the query API.How to useQueryBuilders？仅仅就是加入下面的包：Import org . Elasticsearch . Index . Query . querybuilders .*;Note that you can easily print ( aka Debug ) The JSONgenerated by the query, using the toString() methodAny API that can be used to accept queries , such as Count and. QueryBuilde

String CreateJson1 () {String json = "{" +"\" User\ ": \" kimchy\ "," +"\" postdate\ ": \" 2013-01-30\ "," +"\" message\ ": \" trying out elasticsearch\ "" +"}";return JSON;}/*** Create JSON with map*/public static mapmapJson.put ("User", "kimchyy");Json.put ("Postdate", New Fieldstats.date ());Json.put ("message", "trying out elasticsearch update");return JSON;}Public Xcontentbuilder CreateJson4 () throws Exception {Create a JSON object, one of the

1, full-text query overview Https://www.elastic.co/guide/en/elasticsearch/client/java-api/6.1/java-full-text-queries.html The high-level full text queries are usually used to running full text queries on full text fields like the ' body of ' an EM Ail. They understand how the field being queried are analyzed and would apply each field ' analyzer (or Search_analyzer) to the Q Uery string before executing. 1.1 Match Query The standard query for performing full text queries, including fuzzy matchi

(). Addtransportaddress (NewInetsockettransportaddress (NewInetsocketaddress ("192.168.50.37", 9300))); //Default 5s//how long to open the connection, default 5sSYSTEM.OUT.PRINTLN ("Success Connect"); }2. Using QueryBuilder for queryingUsing QueryBuilder2.1 Termquery ("key", obj) exactly matches2.1 Termsquery ("Key", Obj1, obj2 ...) matches multiple values at once2.3 Matchquery ("key", OBJ) single match, field does not support wildcard characters, prefix with advanced features2.4 Multimatchquer

Index APIOriginal: http://www.elasticsearch.org/guide/en/elasticsearch/client/java-api/current/index_.htmlThe index API allows you to convert a JSON document to a specific index, making it easy to search for operations.To generate a JSON document:There are several different ways to generate a JSON document: Manual use byte[] orString Use a map to convert the equivalent to JSON use a third-party library to reload beans (such as Jackson) Using the built-in Xcontentfactory.js

("tag", "Sometagtag"));UseBoolFilterBuilder#cache(boolean)Method Cache ResultsEXISTS filterfilterbuilders.existsfilter ("user");Matchall FilterFilterbuilders.matchallfilter ();NotfilterFilterbuilders.notfilter (filterbuilders.rangefilter ("Price"). From ("1"). to ("2"));or filterFilterbuilders.orfilter (filterbuilders.termfilter ("Name.second", "Banon"),filterbuilders.termfilter ("Name.nick", "Kimchy") );用OrFilterBuilder#cache(boolean)Method Cache R

Elasticsearch REST APIElasticsearch supports HTTP request-response service, HTTP requests are broken by default with 9200, so the Curl command allows you to send an HTTP request and get the JSON return content. Common rest APIs include a few:Check ES cluster statuscurl http://localhost:9200/_cat/health?vCheck the status of the ES nodecurl http://localhost:9200/_cat/nodes?vQuerying all the Indexescurl http://localhost:9200/_cat/indices?vCreate an indexcurl -XPUT http://localhost:9200/myindex/myty

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 Elasticsearch","User", "message")

Elasticsearch supports batch addition or deletion of index documents. In Java APIs, bulkrequestbuilder is constructed, batch index/delete requests are added to bulkrequestbuilder, and bulkrequestbuilder is executed. The following is an example: Import static Org. elasticsearch. common. xcontent. xcontentfactory. *; bulkrequestbuilder bulkrequest = client. preparebulk (); bulkrequest. add (client. prepareindex ("Twitter", "tweet", "1 "). setsource (jsonbuilder (). startobject (). field ("user", "

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","Kimchy