elasticsearch bulk api

This blog describes an easy way to index multiple documents Elasticsearch. The support of the Bulk API enables you to perform batch additions, deletions, updates, and so on at one time. The bulk operation uses the UDP protocol, and UDP cannot ensure that data is not lost when communicating with the

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

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.prepareinde

Elasticsearch-->java REST Client API Overview: Elasticsearch provides the rest web API, so developers can call Elasticsearch in their own restful web For a detailed description of the Java Rest client API, see the off

Chapter ContentConnect to a local or remote Elasticsearch cluster using the client object.Index documents individually or in batches.Updates the contents of the document.Use a variety of Elasticsearch supported query methods.Handles the error message returned by the Elasticsearch.Collect cluster state information or perform administrative tasks by sending various management directives. 8.3 Connect to c

RIVER-JDBC Installation./bin/plugin --install jdbc --url http://xbib.org/repository/org/xbib/elasticsearch/plugin/elasticsearch-river-jdbc/1.4.0.8/elasticsearch-river-jdbc-1.4.0.8-plugin.zipDocument two ways: River or feederThe plug-in can execute the river in "Pull mode" and execute feeder in "push mode". In feeder mode, the plug-in runs in a different JVM and c

": "Jobbole", "_type": "Job", "_id": "6"}}{"title": "Development", "Salary_min": "City": "Beijing", " Company ": {" name ":" Baidu "," company_addr ":" Beijing Software Park "}," Publish_date ":" 2017-4-16 "," Comments ": 15}Bulk Bulk Operations Bulk Delete dataPOST _bulk{"Delete": {"_index": "Jobbole", "_type": "Job", "_id": "5"}}{"delete": {"_index": "Jobbole",

-list . Add (" Index-other "," News "," 1 "," 3 "). get ();//Specify a different index/type for (multigetitemresponse Item:multigetresponse) { GetResponse response = Item.getresponse (); System.out.println (Response.getsourceasstring ()); }Bulk API Bulk Increase: //2.bulk

= Client.preparedelete ("Twitter", "tweet", "1") . setoperationthreaded (False) . Execute () . Actionget (); The bulk of the javaapi of Elasticsearch The Bulk API can be used to retrieve and delete multiple data in a single request, and here is an example: Import Static org .

processing index. If you need to put a string as a whole to be indexed, this field needs to be set: Field ("Index", "not_analyzed").Index data /** * Bulk Index */@Test public void Indexdata () {Bulkrequestbuilder Requestbuilder = Client.preparebu LK (); for (person person:personlist) {String obj = getindexdatafromhotspotdata (person); if (obj! = null) {Requestbuilder.add (Client.prepareindex ("Test_index", "Test", String.valueof

By adding search data through the rest API, reading the official documentation reveals that Elasticsearch supports dynamic mapping, but there are a lot of questions and listen slowly. This article mainly tells about three points content: 1 Elasticsearch Common REST API 2

bulk submits a lot of commands at a time, it will send the data to a node, and then the node will parse the metadata (index, type, or ID ), distribute the parts to other nodes for operations. Since many commands return results in a uniform manner after execution, the data volume may be large. In this case, if Chunk encoding is used for multipart transmission, it may cause a certain delay. Therefore, the condition is buffered on the client. Although

We have started elasticsearch in the previous article, and then we can communicate with elasticsearch, such as inserting data, retrieving data, deleting data, and so on. Elasticsearch provides two ways to communicate with Java APIs and restful APIs. Java API If you are using the Java,

Elasticsearch provides developers with a set of restful interfaces based on the HTTP protocol, and only needs to construct a rest request and parse the JSON returned by the request for access to the Elasticsearch server. Elasticsearch API interface is rich in functionality, including clustering, monitoring, deployment

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

Java API implementationsJar Package Import Please refer to the previous blog Elasticsearch 5.X under the Java API Usage guideWrite a test class:Package Esjavapia5;Import Java. NET. InetAddress;Import Java. NET. Unknownhostexception;import org. Elasticsearch. Action. Search. SearchResponse;import org.

": {}}}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

Write the following data to requests{"Create": {"_index": "Index1", "_type": "Resource", "_id": 1}} {"title": "Stephen Chow Chi latest movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 2}} {"title": "Stephen Chow's best-looking new movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 3 } {"title": "Stephen Chow the latest movie, Best, new movie"} {"create": {"_index": "Index1", "_type": "Resource", "_id": 4}} {"title": "The most Best new new new New Movie "} {"

= Querybuilders. Multimatchquery("Git","title","Content");SearchResponse response = Client. Preparesearch("Blog"). Settypes("article"). Setquery(QB2). Execute(). Actionget();Searchhits hits = response. Gethits();if (hits. Totalhits() >0) {for (Searchhit hit:hits) {System. out. println("Score:"+hit. Getscore()+": \ T"+hit. GetSource());//. Get ("title")}} else {System. out. println([0 results found ]);}} catch (Unknownhostexception e) {E. Printstacktrace();} }}Query Result:Log4j:warn No append