Bboss is a good elasticsearch Java rest client. It operates and accesses elasticsearch in a way similar to mybatis.
JDK requirement: JDK 1.7+
Elasticsearch version requirements: 2. X,5. X,6. X,+
Spring booter 1.x,2.x,+
First add the maven dependency of BBoss to your pom.xml:
<dependency>
<groupId>com.bbossgroups.plugins</groupId>
<artifactId>bboss-elasticsearch-rest-jdbc</artifactId>
<version>5.3.8</version>
</dependency>
If it's a spring boot project, you can replace the Maven coordinate above with the following Maven coordinate:
<dependency>
<groupId>com.bbossgroups.plugins</groupId>
<artifactId>bboss-elasticsearch-spring-boot-starter</artifactId>
<version>5.3.8</version>
</dependency>
Next, add the Elasticsearch addresses to the application.properties file under the project resource directory, and create a new one if the file does not exist:
elasticsearch.rest.hostNames=10.21.20.168:9200
#Cluster addresses are separated by commas
#elasticsearch.rest.hostNames=10.180.211.27:9200,10.180.211.28:9200,10.180.211.29:9200
And last create a jsp file named testElasticsearch.jsp :
<%@ page import="org.frameworkset.elasticsearch.ElasticSearchHelper" %>
<%@ page import="org.frameworkset.elasticsearch.client.ClientInterface" %>
<%@ page import="org.frameworkset.elasticsearch.entity.ESDatas" %>
<%@ page import="org.frameworkset.elasticsearch.scroll.ScrollHandler" %>
<%@ page import="java.util.List" %>
<%@ page import="java.util.Map" %>
<%@ page import="com.frameworkset.common.poolman.SQLExecutor" %>
<%@ page language="java" pageEncoding="UTF-8"%>
<%
ClientInterface clientUtil = ElasticSearchHelper.getRestClientUtil();
//get elasticsearch cluster state
String result = clientUtil.executeHttp("_cluster/state?pretty",ClientInterface.HTTP_GET);
//check indice twitter and index type tweet exist or not.
boolean exist1 = clientUtil.existIndiceType("twitter","tweet");
out.println("twitter tweet type exist:"+exist1);
//check indice twitter exist or not
exist1 = clientUtil.existIndice("twitter");
out.println("twitter exist:"+exist1);
//count documents in indice twitter
long count = clientUtil.countAll("twitter");
out.println(count);
//Get All documents of indice twitter,DEFAULT_FETCHSIZE is 5000
ESDatas<Map> esDatas = clientUtil.searchAll("twitter", Map.class);
//Get All documents of indice twitter,Set fetchsize to 10000, Using ScrollHandler to process each batch of datas.
clientUtil.searchAll("twitter",10000,new ScrollHandler<Map>() {
public void handle(ESDatas<Map> esDatas) throws Exception {
List<Map> dataList = esDatas.getDatas();
System.out.println("TotalSize:"+esDatas.getTotalSize());
if(dataList != null) {
System.out.println("dataList.size:" + dataList.size());
}
else
{
System.out.println("dataList.size:0");
}
//do something other such as do a db query.
//SQLExecutor.queryList(Map.class,"select * from td_sm_user");
}
},Map.class);
//Use slice parallel scoll query all documents of indice twitter by 2 thread tasks. DEFAULT_FETCHSIZE is 5000
//You can also use ScrollHandler to process each batch of datas on your own.
esDatas = clientUtil.searchAllParallel("twitter", Map.class,2);
out.println("searchAllParallel:ok");
%>
Put the file into the web project that has been connected to pinpoint, run the program, log on pinpoint to see the execution effect of bboss plugin.
The following Demo and related documentation is compatible with Elasticsearch 2. X,5. X,6. X,+ versions
https://github.com/bbossgroups/elasticsearch-example
https://github.com/bbossgroups/elasticsearch-springboot-example
Spring boot integration ElasticSearch case sharing
Quickly integrate Elasticsearch Restful API case sharing
High-performance elasticsearch ORM library bboss use introduction
The BBoss Framework is released under version 2.0 of the Apache License.