JarCastingElasticsearch Bboss
Bboss is a good elasticsearch Java rest client. It operates and accesses elasticsearch in a way similar to mybatis.
https://esdoc.bbossgroups.com/#/README
Environmental requirements
JDK requirement: JDK 1.7+
Elasticsearch version requirements: 1.X,2.X,5.X,6.X,7.x,+
Spring booter 1.x,2.x,+
bboss兼容性
| bboss | Elasticsearch | spring boot |
|---|---|---|
| all | 1.x | 1.x,2.x |
| all | 2.x | 1.x,2.x |
| all | 3.x | 1.x,2.x |
| all | 5.x | 1.x,2.x |
| all | 6.x | 1.x,2.x |
| all | 7.x | 1.x,2.x |
快速开始bboss
https://esdoc.bbossgroups.com/#/quickstart
Build from source code
First Get source code from https://github.com/bbossgroups/bboss-elasticsearch
Then change to cmd window under directory bboss-elasticsearch and run gradle build command：
gradle publishToMavenLocal
Build from source code guide:
https://esdoc.bbossgroups.com/#/bboss-build
How to use Elasticsearch BBoss.
First add the maven dependency of BBoss to your pom.xml:
<dependency>
<groupId>com.bbossgroups.plugins</groupId>
<artifactId>bboss-elasticsearch-rest-jdbc</artifactId>
<version>6.2.9</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>6.2.9</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 write java code to test bboss api:
import org.frameworkset.elasticsearch.ElasticSearchHelper;
import org.frameworkset.elasticsearch.client.ClientInterface;
import org.frameworkset.elasticsearch.entity.ESDatas;
import org.frameworkset.elasticsearch.scroll.ScrollHandler;
import java.util.List;
import java.util.Map;
import com.frameworkset.common.poolman.SQLExecutor;
import org.frameworkset.elasticsearch.scroll.HandlerInfo;
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, HandlerInfo handlerInfo) 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);
Elasticsearch Java Demos
The following Demo and related documentation is compatible with Elasticsearch 1.x,2.X,5.X,6.X,+ versions
Elasticsearch demo for Java project:
https://github.com/bbossgroups/elasticsearch-example
Elasticsearch demo for spring booter 1.x,2.x
https://github.com/bbossgroups/es_bboss_web
https://github.com/bbossgroups/elasticsearch-springboot-example
Fast integration bboss documentation
Spring boot integration ElasticSearch case sharing
Quickly integrate Elasticsearch Restful API case sharing
Elasticsearch BBoss Developer Tutorial
High-performance elasticsearch ORM library bboss use introduction
Elasticsearch技术交流群:166471282
Elasticsearch微信公众号:bbossgroup
License
The BBoss Framework is released under version 2.0 of the Apache License.
