一、简介
1.先看ES的架构图
二、ES支持的客户端连接方式
1.REST API
http请求，例如，浏览器请求get方法；利用Postman等工具发起REST请求；java 发起httpClient请求等。
2.Transport 连接
socket连接，用官方提供的TransPort客户端，底层是netty。
注意：ES的发展规划中在7.0版本开始将废弃 TransportClient，8.0版本中将完全移除 TransportClient，取而代之的是High Level REST Client。
3. ES提供了多种编程语言客户端
官网可以了解详情：
https://www.elastic.co/guide/en/elasticsearch/client/index.html
三、Java REST Client介绍
1. ES提供了两个JAVA REST client 版本
Java Low Level REST Client: 低级别的REST客户端，通过http与集群交互，用户需自己编组请求JSON串，及解析响应JSON串。兼容所有ES版本。
Java High Level REST Client: 高级别的REST客户端，基于低级别的REST客户端，增加了编组请求JSON串、解析响应JSON串等相关api。使用的版本需要保持和ES服务端的版本一致，否则会有版本问题。
官方推荐使用高级版，低级版需要自己准确记住api。
2. Java Low Level REST Client 说明
特点，maven 引入、使用介绍： https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-low.html
API doc ：https://artifacts.elastic.co/javadoc/org/elasticsearch/client/elasticsearch-rest-client/6.2.4/index.html.
3. Java High Level REST Client 说明
从6.0.0开始加入的，目的是以java面向对象的方式来进行请求、响应处理。
每个API 支持 同步/异步 两种方式，同步方法直接返回一个结果对象。异步的方法以async为后缀，通过listener参数来通知结果。
高级java REST 客户端依赖Elasticsearch core project
兼容性说明：
依赖 java1.8 和 Elasticsearch core project
请使用与服务端ES版本一致的客户端版本
4. Java High Level REST Client maven 集成
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>6.2.4</version>
</dependency>
5.将log4j2.xml编译到classes路径下
<?xml version="1.0" encoding="UTF-8"?>
<configuration status="OFF">
<appenders>
<Console name="Console" target="SYSTEM_OUT">
<PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n"/>
</Console>
</appenders>
<loggers>
<root level="info">
<appender-ref ref="Console"/>
</root>
</loggers>
</configuration>
6. Java High Level REST Client 初始化
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("localhost", 9200, "http"),
new HttpHost("localhost", 9201, "http")));
给定集群的多个节点地址，将客户端负载均衡地向这个节点地址集发请求
Client 不再使用了，记得关闭它：
client.close();
API及用法示例，请参考：
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/6.3/java-rest-high-create-index.html
四、Java High Level REST Client 使用示例
准备（需要配置log4j2的maven配置和log的配置文件，否则运行demo控制台会报错）：
编写示例之前首先在maven工程里面引入和ES服务端版本一样的Java客户端
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>6.3.1</version>
</dependency>
<!--日志-->
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api</artifactId>
<version>2.11.1</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.11.1</version>
</dependency>
给定集群的多个节点地址，将客户端负载均衡地向这个节点地址集发请求：
package com.es.demo; import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient; public class InitClient { public static RestHighLevelClient getClient(){
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("localhost", , "http")));
return client;
} }
1.创建索引
package com.es.demo; import org.elasticsearch.action.ActionListener;
import org.elasticsearch.action.admin.indices.alias.Alias;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentType; public class CreateIndexDemo { public static void main(String ags[]){
try(RestHighLevelClient client = InitClient.getClient()){ // 1.创建索引名
CreateIndexRequest request = new CreateIndexRequest("book8"); // 2.索引setting配置
request.settings(Settings.builder().put("index.number_of_shards",)
.put("index.number_of_replicas", ) // 副本数
.put("analysis.analyzer.default.tokenizer","standard")
); // 3.设置索引的mapping
request.mapping("_doc",
" {\n" +
" \"_doc\": {\n" +
" \"properties\": {\n" +
" \"message\": {\n" +
" \"type\": \"text\"\n" +
" }\n" +
" }\n" +
" }\n" +
" }",
XContentType.JSON); // 设置索引别名
request.alias(new Alias("lab1")); // 5.发送请求
// 5.1同步方式
CreateIndexResponse response = client.indices().create(request); // 处理响应
boolean acknowledged = response.isAcknowledged();
boolean shardsAcknowledged = response.isShardsAcknowledged(); System.out.println("请求结果---------------");
System.out.println("acknowledged:"+acknowledged);
System.out.println("shardsAcknowledged:"+shardsAcknowledged); // 5.2 异步方式发送请求
/* ActionListener<CreateIndexResponse> listener = new ActionListener<CreateIndexResponse>() { @Override
public void onResponse(CreateIndexResponse createIndexResponse) {
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse.isShardsAcknowledged();
System.out.println("请求结果---------------");
System.out.println("acknowledged:"+acknowledged);
System.out.println("shardsAcknowledged:"+shardsAcknowledged);
} @Override
public void onFailure(Exception e) {
e.printStackTrace();
}
}; client.indices().createAsync(request, listener);*/ }catch (Exception e){
e.printStackTrace();
}
}
}
结果：
请求结果---------------
acknowledged:true
shardsAcknowledged:true
构建json官方一共给出四中方式：
package com.es.demo; import org.elasticsearch.action.ActionListener;
import org.elasticsearch.action.admin.indices.alias.Alias;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.common.xcontent.XContentType; import java.util.HashMap;
import java.util.Map; public class CreateIndexDemo { public static void main(String ags[]){
try(RestHighLevelClient client = InitClient.getClient()){ // 1.创建索引名
CreateIndexRequest request = new CreateIndexRequest("book13"); // 2.索引setting配置
/*request.settings(Settings.builder().put("index.number_of_shards",5)
.put("index.number_of_replicas", 2) // 副本数
.put("analysis.analyzer.default.tokenizer","standard")
);*/ // 3.设置索引的mapping
// 3.1方式一、直接给出json串
/* request.mapping("_doc",
" {\n" +
" \"_doc\": {\n" +
" \"properties\": {\n" +
" \"message\": {\n" +
" \"type\": \"text\"\n" +
" }\n" +
" }\n" +
" }\n" +
" }",
XContentType.JSON);*/ // 3.2方式二、给出封装成Map /* Map<String, Object> jsonMap = new HashMap<>();
Map<String, Object> message = new HashMap<>();
message.put("type", "text");
Map<String, Object> properties = new HashMap<>();
properties.put("message", message);
Map<String, Object> _doc = new HashMap<>();
_doc.put("properties", properties);
jsonMap.put("_doc", _doc);
request.mapping("_doc", jsonMap);*/ // 3.3方式三、使用XContentBuilder
/* XContentBuilder builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.startObject("_doc");
{
builder.startObject("properties");
{
builder.startObject("message");
{
builder.field("type", "text");
}
builder.endObject();
builder.startObject("message1");
{
builder.field("type", "text");
}
builder.endObject();
}
builder.endObject();
}
builder.endObject();
}
builder.endObject();
request.mapping("_doc", builder);*/ // 3.4方式四、使用XContentBuilder
request.source("{\n" +
" \"settings\" : {\n" +
" \"number_of_shards\" : 1,\n" +
" \"number_of_replicas\" : 0\n" +
" },\n" +
" \"mappings\" : {\n" +
" \"_doc\" : {\n" +
" \"properties\" : {\n" +
" \"message\" : { \"type\" : \"text\" },\n" +
" \"message1\" : { \"type\" : \"text\" }\n" +
" }\n" +
" }\n" +
" },\n" +
" \"aliases\" : {\n" +
" \"lab2\" : {}\n" +
" }\n" +
"}", XContentType.JSON); // 设置索引别名
//request.alias(new Alias("lab1")); // 5.发送请求
// 5.1同步方式
CreateIndexResponse response = client.indices().create(request); // 处理响应
boolean acknowledged = response.isAcknowledged();
boolean shardsAcknowledged = response.isShardsAcknowledged(); System.out.println("请求结果---------------");
System.out.println("acknowledged:"+acknowledged);
System.out.println("shardsAcknowledged:"+shardsAcknowledged); // 5.2 异步方式发送请求
/* ActionListener<CreateIndexResponse> listener = new ActionListener<CreateIndexResponse>() { @Override
public void onResponse(CreateIndexResponse createIndexResponse) {
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse.isShardsAcknowledged();
System.out.println("请求结果---------------");
System.out.println("acknowledged:"+acknowledged);
System.out.println("shardsAcknowledged:"+shardsAcknowledged);
} @Override
public void onFailure(Exception e) {
e.printStackTrace();
}
}; client.indices().createAsync(request, listener);*/ }catch (Exception e){
e.printStackTrace();
}
}
}
更多用法参考官方：java索引API
2. index document
索引文档，即往索引里面放入文档数据.类似于数据库里面向表里面插入一行数据，一行数据就是一个文档
package com.es.demo; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.support.replication.ReplicationResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.rest.RestStatus; public class IndexDocumentDemo {
private static Logger logger = LogManager.getRootLogger(); public static void main(String args[]){
try(RestHighLevelClient client = InitClient.getClient()){
// 1、创建索引请求
IndexRequest request = new IndexRequest(
"mess", //索引
"_doc", // mapping type
""); //文档id // 2、准备文档数据
// 方式一：直接给JSON串
String jsonString = "{" +
"\"user\":\"kimchy\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"trying out Elasticsearch\"" +
"}";
request.source(jsonString, XContentType.JSON); // 方式二：以map对象来表示文档
/*
Map<String, Object> jsonMap = new HashMap<>();
jsonMap.put("user", "kimchy");
jsonMap.put("postDate", new Date());
jsonMap.put("message", "trying out Elasticsearch");
request.source(jsonMap);
*/ // 方式三：用XContentBuilder来构建文档
/*
XContentBuilder builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.field("user", "kimchy");
builder.field("postDate", new Date());
builder.field("message", "trying out Elasticsearch");
}
builder.endObject();
request.source(builder);
*/ // 方式四：直接用key-value对给出
/*
request.source("user", "kimchy",
"postDate", new Date(),
"message", "trying out Elasticsearch");
*/ //3、其他的一些可选设置
/*
request.routing("routing"); //设置routing值
request.timeout(TimeValue.timeValueSeconds(1)); //设置主分片等待时长
request.setRefreshPolicy("wait_for"); //设置重刷新策略
request.version(2); //设置版本号
request.opType(DocWriteRequest.OpType.CREATE); //操作类别
*/ //4、发送请求
IndexResponse indexResponse = null;
try {
// 同步方式
indexResponse = client.index(request);
} catch(ElasticsearchException e) {
// 捕获，并处理异常
//判断是否版本冲突、create但文档已存在冲突
if (e.status() == RestStatus.CONFLICT) {
logger.error("冲突了，请在此写冲突处理逻辑！\n" + e.getDetailedMessage());
} logger.error("索引异常", e);
} //5、处理响应
if(indexResponse != null) {
String index = indexResponse.getIndex();
String type = indexResponse.getType();
String id = indexResponse.getId();
long version = indexResponse.getVersion();
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
System.out.println("新增文档成功!");
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
System.out.println("修改文档成功!");
}
// 分片处理信息
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) { }
// 如果有分片副本失败，可以获得失败原因信息
if (shardInfo.getFailed() > ) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();
System.out.println("副本失败原因：" + reason);
}
}
} //异步方式发送索引请求
/*ActionListener<IndexResponse> listener = new ActionListener<IndexResponse>() {
@Override
public void onResponse(IndexResponse indexResponse) { } @Override
public void onFailure(Exception e) { }
};
client.indexAsync(request, listener);
*/ }catch (Exception e){
e.printStackTrace();
}
} }
结果：
新增文档成功!
官方文档：API
3. get document
package com.es.demo; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.Strings;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.fetch.subphase.FetchSourceContext; import java.io.IOException;
import java.util.Map; public class GetDocumentDemo {
private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (RestHighLevelClient client = InitClient.getClient();) {
// 1、创建获取文档请求
GetRequest request = new GetRequest(
"book13", //索引
"_doc", // mapping type
""); //文档id // 2、可选的设置
//request.routing("routing");
//request.version(2); //request.fetchSourceContext(new FetchSourceContext(false)); //是否获取_source字段
//选择返回的字段
String[] includes = new String[]{"message", "*Date","user"};
String[] excludes = Strings.EMPTY_ARRAY;
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext); // 取stored字段
/*request.storedFields("message");
GetResponse getResponse = client.get(request);
String message = getResponse.getField("message").getValue();*/ //3、发送请求
GetResponse getResponse = null;
try {
// 同步请求
getResponse = client.get(request);
} catch (ElasticsearchException e) {
if (e.status() == RestStatus.NOT_FOUND) {
logger.error("没有找到该id的文档" );
}
if (e.status() == RestStatus.CONFLICT) {
logger.error("获取时版本冲突了，请在此写冲突处理逻辑！" );
}
logger.error("获取文档异常", e);
} //4、处理响应
if(getResponse != null) {
String index = getResponse.getIndex();
String type = getResponse.getType();
String id = getResponse.getId();
if (getResponse.isExists()) { // 文档存在
long version = getResponse.getVersion();
String sourceAsString = getResponse.getSourceAsString(); //结果取成 String
Map<String, Object> sourceAsMap = getResponse.getSourceAsMap(); // 结果取成Map
byte[] sourceAsBytes = getResponse.getSourceAsBytes(); //结果取成字节数组 logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString); } else {
logger.error("没有找到该id的文档" );
}
} //异步方式发送获取文档请求
/*
ActionListener<GetResponse> listener = new ActionListener<GetResponse>() {
@Override
public void onResponse(GetResponse getResponse) { } @Override
public void onFailure(Exception e) { }
};
client.getAsync(request, listener);
*/ } catch (IOException e) {
e.printStackTrace();
}
} }
结果：
::40.943 [main] INFO - index:book13 type:_doc id:
::40.943 [main] INFO - {"postDate":"2013-01-30","message":"trying out Elasticsearch","user":"kimchy"}
4. Bulk
批量索引文档，即批量往索引里面放入文档数据.类似于数据库里面批量向表里面插入多行数据，一行数据就是一个文档
BulkDemo.java
package com.es.demo; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.DocWriteRequest;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.bulk.BulkItemResponse;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType; import java.io.IOException;
import java.util.Date; public class BulkDemo {
private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建批量操作请求参数
BulkRequest request = new BulkRequest();
request.add(new IndexRequest("book13", "_doc", "")
.source(XContentType.JSON,"postDate", new Date()));
request.add(new IndexRequest("book13", "_doc", "")
.source(XContentType.JSON,"user", "liming"));
request.add(new IndexRequest("book13", "_doc", "")
.source(XContentType.JSON,"message", "add a doc")); /*
request.add(new DeleteRequest("mess", "_doc", "3"));
request.add(new UpdateRequest("mess", "_doc", "2")
.doc(XContentType.JSON,"other", "test"));
request.add(new IndexRequest("mess", "_doc", "4")
.source(XContentType.JSON,"field", "baz"));
*/ // 2、可选的设置
/*
request.timeout("2m");
request.setRefreshPolicy("wait_for");
request.waitForActiveShards(2);
*/ //3、发送请求 // 同步请求
BulkResponse bulkResponse = client.bulk(request); //4、处理响应
if(bulkResponse != null) {
for (BulkItemResponse bulkItemResponse : bulkResponse) {
DocWriteResponse itemResponse = bulkItemResponse.getResponse(); if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX
|| bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) {
IndexResponse indexResponse = (IndexResponse) itemResponse;
//TODO 新增成功的处理
logger.info("新增成功"); } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) {
UpdateResponse updateResponse = (UpdateResponse) itemResponse;
//TODO 修改成功的处理
logger.info("修改成功"); } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) {
DeleteResponse deleteResponse = (DeleteResponse) itemResponse;
//TODO 删除成功的处理
logger.info("删除成功");
}
}
} //异步方式发送批量操作请求
/*
ActionListener<BulkResponse> listener = new ActionListener<BulkResponse>() {
@Override
public void onResponse(BulkResponse bulkResponse) { } @Override
public void onFailure(Exception e) { }
};
client.bulkAsync(request, listener);
*/ } catch (IOException e) {
e.printStackTrace();
}
} }
结果：
::41.726 [main] INFO - 新增成功
::41.730 [main] INFO - 新增成功
::41.730 [main] INFO - 新增成功
重复运行多次，并没有返回修改成功，也是新增成功，这可能是个bug，实际上第一次以后运行都是修改操作了。
package com.es.demo; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.DocWriteRequest;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.bulk.BulkItemResponse;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType; import java.io.IOException;
import java.util.Date; public class BulkDemo {
private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建批量操作请求参数
BulkRequest request = new BulkRequest();
request.add(new IndexRequest("book13", "_doc", "")
.source(XContentType.JSON,"postDate", new Date()));
request.add(new IndexRequest("book13", "_doc", "")
.source(XContentType.JSON,"user", "liming"));
request.add(new IndexRequest("book13", "_doc", "")
.source(XContentType.JSON,"message", "add a doc")); /*
request.add(new DeleteRequest("mess", "_doc", "3"));
request.add(new UpdateRequest("mess", "_doc", "2")
.doc(XContentType.JSON,"other", "test"));
request.add(new IndexRequest("mess", "_doc", "4")
.source(XContentType.JSON,"field", "baz"));
*/ // 2、可选的设置
/*
request.timeout("2m");
request.setRefreshPolicy("wait_for");
request.waitForActiveShards(2);
*/ //3、发送请求 // 同步请求
BulkResponse bulkResponse = client.bulk(request); //4、处理响应
if(bulkResponse != null) {
for (BulkItemResponse bulkItemResponse : bulkResponse) {
DocWriteResponse itemResponse = bulkItemResponse.getResponse(); if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX
|| bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) {
IndexResponse indexResponse = (IndexResponse) itemResponse;
//TODO 新增成功的处理
logger.info("新增成功,{}",indexResponse.toString()); } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) {
UpdateResponse updateResponse = (UpdateResponse) itemResponse;
//TODO 修改成功的处理
logger.info("修改成功,{}",updateResponse.toString()); } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) {
DeleteResponse deleteResponse = (DeleteResponse) itemResponse;
//TODO 删除成功的处理
logger.info("删除成功,{}",deleteResponse.toString());
}
}
} //异步方式发送批量操作请求
/*
ActionListener<BulkResponse> listener = new ActionListener<BulkResponse>() {
@Override
public void onResponse(BulkResponse bulkResponse) { } @Override
public void onFailure(Exception e) { }
};
client.bulkAsync(request, listener);
*/ } catch (IOException e) {
e.printStackTrace();
}
} }
结果：
::44.095 [main] INFO - 新增成功,IndexResponse[index=book13,type=_doc,id=,version=,result=updated,seqNo=,primaryTerm=,shards={"total":,"successful":,"failed":}]
::44.099 [main] INFO - 新增成功,IndexResponse[index=book13,type=_doc,id=,version=,result=updated,seqNo=,primaryTerm=,shards={"total":,"successful":,"failed":}]
::44.099 [main] INFO - 新增成功,IndexResponse[index=book13,type=_doc,id=,version=,result=updated,seqNo=,primaryTerm=,shards={"total":,"successful":,"failed":}]
postMan对比查看结果：
{
"took": ,
"timed_out": false,
"_shards": {
"total": ,
"successful": ,
"skipped": ,
"failed":
},
"hits": {
"total": ,
"max_score": ,
"hits": [
{
"_index": "book13",
"_type": "_doc",
"_id": "",
"_score": ,
"_source": {
"postDate": "2018-09-09T12:25:41.302Z"
}
},
{
"_index": "book13",
"_type": "_doc",
"_id": "",
"_score": ,
"_source": {
"user": "liming"
}
},
{
"_index": "book13",
"_type": "_doc",
"_id": "",
"_score": ,
"_source": {
"message": "add a doc"
}
}
]
}
}
5. search
搜索数据
SearchDemo.java
package com.es.demo; import java.io.IOException;
import java.util.Map;
import java.util.concurrent.TimeUnit; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.ShardSearchFailure;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder; /**
*
* @Description: 搜索数据
* @author lgs
* @date 2018年6月23日
*
*/
public class SearchDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("book13");
searchRequest.types("_doc"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构造QueryBuilder
/*QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("user", "kimchy")
.fuzziness(Fuzziness.AUTO)
.prefixLength(3)
.maxExpansions(10);
sourceBuilder.query(matchQueryBuilder);*/ sourceBuilder.query(QueryBuilders.termQuery("user", "liming"));
sourceBuilder.from();
sourceBuilder.size();
sourceBuilder.timeout(new TimeValue(, TimeUnit.SECONDS)); //是否返回_source字段
//sourceBuilder.fetchSource(false); //设置返回哪些字段
/*String[] includeFields = new String[] {"title", "user", "innerObject.*"};
String[] excludeFields = new String[] {"_type"};
sourceBuilder.fetchSource(includeFields, excludeFields);*/ //指定排序
//sourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC));
//sourceBuilder.sort(new FieldSortBuilder("_uid").order(SortOrder.ASC)); // 设置返回 profile
//sourceBuilder.profile(true); //将请求体加入到请求中
searchRequest.source(sourceBuilder); // 可选的设置
//searchRequest.routing("routing"); // 高亮设置
/*
HighlightBuilder highlightBuilder = new HighlightBuilder();
HighlightBuilder.Field highlightTitle =
new HighlightBuilder.Field("title");
highlightTitle.highlighterType("unified");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightUser = new HighlightBuilder.Field("user");
highlightBuilder.field(highlightUser);
sourceBuilder.highlighter(highlightBuilder);*/ //加入聚合
/*TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_company")
.field("company.keyword");
aggregation.subAggregation(AggregationBuilders.avg("average_age")
.field("age"));
sourceBuilder.aggregation(aggregation);*/ //做查询建议
/*SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);*/ //3、发送请求
SearchResponse searchResponse = client.search(searchRequest); //4、处理响应
//搜索结果状态信息
RestStatus status = searchResponse.status();
TimeValue took = searchResponse.getTook();
Boolean terminatedEarly = searchResponse.isTerminatedEarly();
boolean timedOut = searchResponse.isTimedOut(); //分片搜索情况
int totalShards = searchResponse.getTotalShards();
int successfulShards = searchResponse.getSuccessfulShards();
int failedShards = searchResponse.getFailedShards();
for (ShardSearchFailure failure : searchResponse.getShardFailures()) {
// failures should be handled here
} //处理搜索命中文档结果
SearchHits hits = searchResponse.getHits(); long totalHits = hits.getTotalHits();
float maxScore = hits.getMaxScore(); SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
// do something with the SearchHit String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore(); //取_source字段值
String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*
String documentTitle = (String) sourceAsMap.get("title");
List<Object> users = (List<Object>) sourceAsMap.get("user");
Map<String, Object> innerObject = (Map<String, Object>) sourceAsMap.get("innerObject");
*/
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString); //取高亮结果
/*Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
Text[] fragments = highlight.fragments();
String fragmentString = fragments[0].string();*/
} // 获取聚合结果
/*
Aggregations aggregations = searchResponse.getAggregations();
Terms byCompanyAggregation = aggregations.get("by_company");
Bucket elasticBucket = byCompanyAggregation.getBucketByKey("Elastic");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();
*/ // 获取建议结果
/*Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
}
}
*/ //异步方式发送获查询请求
/*
ActionListener<SearchResponse> listener = new ActionListener<SearchResponse>() {
@Override
public void onResponse(SearchResponse getResponse) {
//结果获取
} @Override
public void onFailure(Exception e) {
//失败处理
}
};
client.searchAsync(searchRequest, listener);
*/ } catch (IOException e) {
logger.error(e);
}
}
}
结果：
::50.762 [main] INFO - index:book13 type:_doc id:
::50.766 [main] INFO - {"user":"liming"}
6. highlight 高亮
HighlightDemo.java
package com.es.demo; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField; import java.io.IOException;
import java.util.Map; public class HighlightDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建search请求
SearchRequest searchRequest = new SearchRequest("book1"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构造QueryBuilder
QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("name", "test");
sourceBuilder.query(matchQueryBuilder); //分页设置
/*sourceBuilder.from(0);
sourceBuilder.size(5); ;*/ // 高亮设置
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.requireFieldMatch(false).field("name").field("age")
.preTags("<strong>").postTags("</strong>");
//不同字段可有不同设置，如不同标签
/*HighlightBuilder.Field highlightTitle = new HighlightBuilder.Field("title");
highlightTitle.preTags("<strong>").postTags("</strong>");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightContent = new HighlightBuilder.Field("content");
highlightContent.preTags("<b>").postTags("</b>");
highlightBuilder.field(highlightContent).requireFieldMatch(false);*/ sourceBuilder.highlighter(highlightBuilder); searchRequest.source(sourceBuilder); //3、发送请求
SearchResponse searchResponse = client.search(searchRequest); //4、处理响应
if (RestStatus.OK.equals(searchResponse.status())) {
//处理搜索命中文档结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits(); SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore(); //取_source字段值
//String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*String title = (String) sourceAsMap.get("title");
String content = (String) sourceAsMap.get("content"); */
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info("sourceMap : " + sourceAsMap);
//取高亮结果
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("name");
if (highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if (fragments != null) {
String fragmentString = fragments[].string();
logger.info("title highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("title", fragmentString);
}
} highlight = highlightFields.get("age");
if (highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if (fragments != null) {
String fragmentString = fragments[].string();
logger.info("content highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("content", fragmentString);
}
}
}
} } catch (IOException e) {
logger.error(e);
}
}
}
结果：
::29.702 [main] INFO - index:book1 type:english id:5oVDQ2UBRzBxBrDgtIl0
::29.706 [main] INFO - sourceMap : {name=test goog my money, addr=中国, class=dsfdsf, age=}
::29.706 [main] INFO - title highlight : <strong>test</strong> goog my money
::29.706 [main] INFO - index:book1 type:english id:6IUkUmUBRzBxBrDgFok2
::29.710 [main] INFO - sourceMap : {name=test goog my money, addr=中国, class=dsfdsf, age=[, , , ]}
::29.710 [main] INFO - title highlight : <strong>test</strong> goog my money
::29.710 [main] INFO - index:book1 type:english id:
::29.710 [main] INFO - sourceMap : {name=test, age=}
::29.710 [main] INFO - title highlight : <strong>test</strong>
::29.710 [main] INFO - index:book1 type:english id:
::29.710 [main] INFO - sourceMap : {name=test, age=}
::29.710 [main] INFO - title highlight : <strong>test</strong>
::29.710 [main] INFO - index:book1 type:english id:54UiUmUBRzBxBrDgfIl9
::29.710 [main] INFO - sourceMap : {name=test goog my money, addr=中国, class=dsfdsf, age=[, , ]}
::29.710 [main] INFO - title highlight : <strong>test</strong> goog my money
7. suggest 查询建议
SuggestDemo.java（本demo只有单词纠错和前缀自动补全）
package com.es.demo;
import java.io.IOException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.search.suggest.SuggestBuilder;
import org.elasticsearch.search.suggest.SuggestBuilders;
import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.completion.CompletionSuggestion;
import org.elasticsearch.search.suggest.term.TermSuggestion; /**
*
* @Description: 查询建议
* @author lgs
* @date 2018年6月23日
*
*/
public class SuggestDemo { private static Logger logger = LogManager.getRootLogger(); //词项建议拼写检查，检查用户的拼写是否错误，如果有错给用户推荐正确的词，appel->apple
public static void termSuggest() {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("book1"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.size(); //做查询建议
//词项建议
SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("name").text("text");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder); searchRequest.source(sourceBuilder); //3、发送请求
SearchResponse searchResponse = client.search(searchRequest); //4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
}
/*
"suggest": {
"my-suggestion": [
{
"text": "tring",
"offset": 0,
"length": 5,
"options": [
{
"text": "trying",
"score": 0.8,
"freq": 1
}
]
},
{
"text": "out",
"offset": 6,
"length": 3,
"options": []
},
{
"text": "elasticsearch",
"offset": 10,
"length": 13,
"options": []
}
]
}*/ } catch (IOException e) {
logger.error(e);
}
} //自动补全，根据用户的输入联想到可能的词或者短语
public static void completionSuggester() {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("book5"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.size(); //做查询建议
//自动补全
/*POST music/_search?pretty
{
"suggest": {
"song-suggest" : {
"prefix" : "lucene s",
"completion" : {
"field" : "suggest" ,
"skip_duplicates": true
}
}
}
}*/ SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.completionSuggestion("suggest").prefix("tes")
.skipDuplicates(true);
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("song-suggest", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder); searchRequest.source(sourceBuilder); //3、发送请求
SearchResponse searchResponse = client.search(searchRequest); //4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
CompletionSuggestion termSuggestion = suggest.getSuggestion("song-suggest");
for (CompletionSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (CompletionSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
} } catch (IOException e) {
logger.error(e);
}
} public static void main(String[] args) {
termSuggest(); logger.info("--------------------------------------"); completionSuggester();
}
}
结果：
21:24:40.416 [main] INFO - text: text
21:24:40.420 [main] INFO - suggest option : test
21:24:40.420 [main] INFO - suggest option : term
21:24:40.420 [main] INFO - --------------------------------------
21:24:40.624 [main] INFO - text: tes
21:24:40.624 [main] INFO - suggest option : test english
21:24:40.624 [main] INFO - suggest option : test my book1
8. aggregation 聚合分析
AggregationDemo.java
package com.es.demo; import java.io.IOException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.BucketOrder;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.avg.Avg;
import org.elasticsearch.search.builder.SearchSourceBuilder; public class AggregationDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (RestHighLevelClient client = InitClient.getClient();) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("book1"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.size(); //加入聚合
//字段值项分组聚合
TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_age")
.field("age").order(BucketOrder.aggregation("average_balance", true));
//计算每组的平均balance指标
aggregation.subAggregation(AggregationBuilders.avg("average_balance")
.field("age"));
sourceBuilder.aggregation(aggregation); searchRequest.source(sourceBuilder); //3、发送请求
SearchResponse searchResponse = client.search(searchRequest); //4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取聚合结果
Aggregations aggregations = searchResponse.getAggregations();
Terms byAgeAggregation = aggregations.get("by_age");
logger.info("aggregation by_age 结果");
logger.info("docCountError: " + byAgeAggregation.getDocCountError());
logger.info("sumOfOtherDocCounts: " + byAgeAggregation.getSumOfOtherDocCounts());
logger.info("------------------------------------");
for(Bucket buck : byAgeAggregation.getBuckets()) {
logger.info("key: " + buck.getKeyAsNumber());
logger.info("docCount: " + buck.getDocCount());
logger.info("docCountError: " + buck.getDocCountError());
//取子聚合
Avg averageBalance = buck.getAggregations().get("average_balance"); logger.info("average_balance: " + averageBalance.getValue());
logger.info("------------------------------------");
}
//直接用key 来去分组
/*Bucket elasticBucket = byCompanyAggregation.getBucketByKey("24");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();*/ } } catch (IOException e) {
logger.error(e);
}
}
}
结果：
::24.681 [main] INFO - aggregation by_age 结果
::24.685 [main] INFO - docCountError:
::24.685 [main] INFO - sumOfOtherDocCounts:
::24.685 [main] INFO - ------------------------------------
::24.685 [main] INFO - key:
::24.685 [main] INFO - docCount:
::24.685 [main] INFO - docCountError:
::24.685 [main] INFO - average_balance: 1.0
::24.685 [main] INFO - ------------------------------------
::24.685 [main] INFO - key:
::24.685 [main] INFO - docCount:
::24.685 [main] INFO - docCountError:
::24.685 [main] INFO - average_balance: 12.0
::24.685 [main] INFO - ------------------------------------
::24.685 [main] INFO - key:
::24.685 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 12.666666666666666
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 12.75
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 16.0
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 21.0
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 26.428571428571427
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 33.0
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 36.75
::24.689 [main] INFO - ------------------------------------
::24.689 [main] INFO - key:
::24.689 [main] INFO - docCount:
::24.689 [main] INFO - docCountError:
::24.689 [main] INFO - average_balance: 36.75
::24.689 [main] INFO - ------------------------------------
9. 官网资料
各种查询对应的QueryBuilder：
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-query-builders.html
各种聚合对应的AggregationBuilder：
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-aggregation-builders.html
10.源码
https://github.com/Star-Lordxing/ES-java-client-api
五、Java Client
1. Java Client 说明
java client 使用 TransportClient，各种操作本质上都是异步的(可以用 listener，或返回 Future ）。
注意：ES的发展规划中在7.0版本开始将废弃 TransportClient，8.0版本中将完全移除 TransportClient，取而代之的是High Level REST Client。
High Level REST Client 中的操作API和java client 大多是一样的，除了连接方式InitClient代码不一样。
2. 官方学习链接
https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/index.html
3. 兼容性说明
请使用与服务端ES版本一致的客户端版本
4. Java Client maven 集成
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>6.3.</version>
</dependency>
<!--日志-->
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api</artifactId>
<version>2.11.</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.11.</version>
</dependency>
5.将log4j2.xml编译到classes路径下
<?xml version="1.0" encoding="UTF-8"?>
<configuration status="OFF">
<appenders>
<Console name="Console" target="SYSTEM_OUT">
<PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n"/>
</Console>
</appenders>
<loggers>
<root level="info">
<appender-ref ref="Console"/>
</root>
</loggers>
</configuration>
六.Transport API使用示例
1.创建连接InitClient.java
package com.es.demo; import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.transport.client.PreBuiltTransportClient; import java.net.InetAddress;
import java.net.UnknownHostException; public class InitClient { private static TransportClient client; public static TransportClient getClient() throws UnknownHostException { if(client == null) {
//client = new PreBuiltTransportClient(Settings.EMPTY) // 连接集群的设置
Settings settings = Settings.builder()
.put("cluster.name", "my-application") //如果集群的名字不是默认的elasticsearch，需指定
.put("client.transport.sniff", false) //自动嗅探
.build();
client = new PreBuiltTransportClient(settings)
//.addTransportAddress(new TransportAddress(InetAddress.getByName("localhost"), 9300));
.addTransportAddress(new TransportAddress(InetAddress.getByName("start.com"), )); //可用连接设置参数说明
/*
cluster.name
指定集群的名字，如果集群的名字不是默认的elasticsearch，需指定。
client.transport.sniff
设置为true,将自动嗅探整个集群，自动加入集群的节点到连接列表中。
client.transport.ignore_cluster_name
Set to true to ignore cluster name validation of connected nodes. (since 0.19.4)
client.transport.ping_timeout
The time to wait for a ping response from a node. Defaults to 5s.
client.transport.nodes_sampler_interval
How often to sample / ping the nodes listed and connected. Defaults to 5s.
*/ }
return client;
} }
client.transport.sniff:false //自动嗅探 ，我本机单节点设置为true会报错。
1. Create index 创建索引
CreateIndexDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.concurrent.ExecutionException; import org.elasticsearch.action.admin.indices.alias.Alias;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentType; public class CreateIndexDemo { public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) { // 1、创建 创建索引request
CreateIndexRequest request = new CreateIndexRequest("mess"); // 2、设置索引的settings
request.settings(Settings.builder().put("index.number_of_shards", 3) // 分片数
.put("index.number_of_replicas", 2) // 副本数
.put("analysis.analyzer.default.tokenizer", "ik_smart") // 默认分词器
); // 3、设置索引的mappings
request.mapping("_doc",
" {\n" +
" \"_doc\": {\n" +
" \"properties\": {\n" +
" \"message\": {\n" +
" \"type\": \"text\"\n" +
" }\n" +
" }\n" +
" }\n" +
" }",
XContentType.JSON); // 4、 设置索引的别名
request.alias(new Alias("mmm")); // 5、 发送请求 这里和RESTful风格不同
CreateIndexResponse createIndexResponse = client.admin().indices()
.create(request).get(); // 6、处理响应
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse
.isShardsAcknowledged();
System.out.println("acknowledged = " + acknowledged);
System.out.println("shardsAcknowledged = " + shardsAcknowledged); // listener方式发送请求
/*ActionListener<CreateIndexResponse> listener = new ActionListener<CreateIndexResponse>() {
@Override
public void onResponse(
CreateIndexResponse createIndexResponse) {
// 6、处理响应
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse
.isShardsAcknowledged();
System.out.println("acknowledged = " + acknowledged);
System.out.println(
"shardsAcknowledged = " + shardsAcknowledged);
} @Override
public void onFailure(Exception e) {
System.out.println("创建索引异常：" + e.getMessage());
}
};
client.admin().indices().create(request, listener);
*/
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}
2. index document
索引文档，即往索引里面放入文档数据.类似于数据库里面向表里面插入一行数据，一行数据就是一个文档
IndexDocumentDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.concurrent.ExecutionException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.support.replication.ReplicationResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.rest.RestStatus; public class IndexDocumentDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) {
// 1、创建索引请求
IndexRequest request = new IndexRequest(
"mess", //索引
"_doc", // mapping type
"11"); //文档id // 2、准备文档数据
// 方式一：直接给JSON串
String jsonString = "{" +
"\"user\":\"kimchy\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"trying out Elasticsearch\"" +
"}";
request.source(jsonString, XContentType.JSON); // 方式二：以map对象来表示文档
/*
Map<String, Object> jsonMap = new HashMap<>();
jsonMap.put("user", "kimchy");
jsonMap.put("postDate", new Date());
jsonMap.put("message", "trying out Elasticsearch");
request.source(jsonMap);
*/ // 方式三：用XContentBuilder来构建文档
/*
XContentBuilder builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.field("user", "kimchy");
builder.field("postDate", new Date());
builder.field("message", "trying out Elasticsearch");
}
builder.endObject();
request.source(builder);
*/ // 方式四：直接用key-value对给出
/*
request.source("user", "kimchy",
"postDate", new Date(),
"message", "trying out Elasticsearch");
*/ //3、其他的一些可选设置
/*
request.routing("routing"); //设置routing值
request.timeout(TimeValue.timeValueSeconds(1)); //设置主分片等待时长
request.setRefreshPolicy("wait_for"); //设置重刷新策略
request.version(2); //设置版本号
request.opType(DocWriteRequest.OpType.CREATE); //操作类别
*/ //4、发送请求
IndexResponse indexResponse = null;
try {
//方式一： 用client.index 方法，返回是 ActionFuture<IndexResponse>，再调用get获取响应结果
indexResponse = client.index(request).get(); //方式二：client提供了一个 prepareIndex方法，内部为我们创建IndexRequest
/*IndexResponse indexResponse = client.prepareIndex("mess","_doc","11")
.setSource(jsonString, XContentType.JSON)
.get();*/ //方式三：request + listener
//client.index(request, listener); } catch(ElasticsearchException e) {
// 捕获，并处理异常
//判断是否版本冲突、create但文档已存在冲突
if (e.status() == RestStatus.CONFLICT) {
logger.error("冲突了，请在此写冲突处理逻辑！\n" + e.getDetailedMessage());
} logger.error("索引异常", e);
}catch (InterruptedException | ExecutionException e) {
logger.error("索引异常", e);
} //5、处理响应
if(indexResponse != null) {
String index = indexResponse.getIndex();
String type = indexResponse.getType();
String id = indexResponse.getId();
long version = indexResponse.getVersion();
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
System.out.println("新增文档成功，处理逻辑代码写到这里。");
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
System.out.println("修改文档成功，处理逻辑代码写到这里。");
}
// 分片处理信息
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) { }
// 如果有分片副本失败，可以获得失败原因信息
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();
System.out.println("副本失败原因：" + reason);
}
}
} //listener 方式
/*ActionListener<IndexResponse> listener = new ActionListener<IndexResponse>() {
@Override
public void onResponse(IndexResponse indexResponse) { } @Override
public void onFailure(Exception e) { }
};
client.index(request, listener);
*/ } catch (IOException e) {
e.printStackTrace();
}
}
}
3. get document
获取文档数据
GetDocumentDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.Map;
import java.util.concurrent.ExecutionException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.Strings;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.fetch.subphase.FetchSourceContext; public class GetDocumentDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) {
// 1、创建获取文档请求
GetRequest request = new GetRequest(
"mess", //索引
"_doc", // mapping type
"11"); //文档id // 2、可选的设置
//request.routing("routing");
//request.version(2); //request.fetchSourceContext(new FetchSourceContext(false)); //是否获取_source字段
//选择返回的字段
String[] includes = new String[]{"message", "*Date"};
String[] excludes = Strings.EMPTY_ARRAY;
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext); //也可写成这样
/*String[] includes = Strings.EMPTY_ARRAY;
String[] excludes = new String[]{"message"};
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext);*/ // 取stored字段
/*request.storedFields("message");
GetResponse getResponse = client.get(request);
String message = getResponse.getField("message").getValue();*/ //3、发送请求
GetResponse getResponse = null;
try {
getResponse = client.get(request).get();
} catch (ElasticsearchException e) {
if (e.status() == RestStatus.NOT_FOUND) {
logger.error("没有找到该id的文档" );
}
if (e.status() == RestStatus.CONFLICT) {
logger.error("获取时版本冲突了，请在此写冲突处理逻辑！" );
}
logger.error("获取文档异常", e);
}catch (InterruptedException | ExecutionException e) {
logger.error("索引异常", e);
} //4、处理响应
if(getResponse != null) {
String index = getResponse.getIndex();
String type = getResponse.getType();
String id = getResponse.getId();
if (getResponse.isExists()) { // 文档存在
long version = getResponse.getVersion();
String sourceAsString = getResponse.getSourceAsString(); //结果取成 String
Map<String, Object> sourceAsMap = getResponse.getSourceAsMap(); // 结果取成Map
byte[] sourceAsBytes = getResponse.getSourceAsBytes(); //结果取成字节数组 logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString); } else {
logger.error("没有找到该id的文档" );
}
} //异步方式发送获取文档请求
/*
ActionListener<GetResponse> listener = new ActionListener<GetResponse>() {
@Override
public void onResponse(GetResponse getResponse) { } @Override
public void onFailure(Exception e) { }
};
client.getAsync(request, listener);
*/ } catch (IOException e) {
e.printStackTrace();
}
}
}
4. Bulk
批量索引文档，即批量往索引里面放入文档数据.类似于数据库里面批量向表里面插入多行数据，一行数据就是一个文档
BulkDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.concurrent.ExecutionException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.DocWriteRequest;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.bulk.BulkItemResponse;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.xcontent.XContentType; public class BulkDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) { // 1、创建批量操作请求
BulkRequest request = new BulkRequest();
request.add(new IndexRequest("mess", "_doc", "1")
.source(XContentType.JSON,"field", "foo"));
request.add(new IndexRequest("mess", "_doc", "2")
.source(XContentType.JSON,"field", "bar"));
request.add(new IndexRequest("mess", "_doc", "3")
.source(XContentType.JSON,"field", "baz")); /*
request.add(new DeleteRequest("mess", "_doc", "3"));
request.add(new UpdateRequest("mess", "_doc", "2")
.doc(XContentType.JSON,"other", "test"));
request.add(new IndexRequest("mess", "_doc", "4")
.source(XContentType.JSON,"field", "baz"));
*/ // 2、可选的设置
/*
request.timeout("2m");
request.setRefreshPolicy("wait_for");
request.waitForActiveShards(2);
*/ //3、发送请求 // 同步请求
BulkResponse bulkResponse = client.bulk(request).get(); //4、处理响应
if(bulkResponse != null) {
for (BulkItemResponse bulkItemResponse : bulkResponse) {
DocWriteResponse itemResponse = bulkItemResponse.getResponse(); if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX
|| bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) {
IndexResponse indexResponse = (IndexResponse) itemResponse;
//TODO 新增成功的处理 } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) {
UpdateResponse updateResponse = (UpdateResponse) itemResponse;
//TODO 修改成功的处理 } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) {
DeleteResponse deleteResponse = (DeleteResponse) itemResponse;
//TODO 删除成功的处理
}
}
} //异步方式发送批量操作请求
/*
ActionListener<BulkResponse> listener = new ActionListener<BulkResponse>() {
@Override
public void onResponse(BulkResponse bulkResponse) { } @Override
public void onFailure(Exception e) { }
};
client.bulkAsync(request, listener);
*/ } catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}
5. search
搜索数据
SearchDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.Map;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.ShardSearchFailure;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder; public class SearchDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("bank");
searchRequest.types("_doc"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构造QueryBuilder
/*QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("user", "kimchy")
.fuzziness(Fuzziness.AUTO)
.prefixLength(3)
.maxExpansions(10);
sourceBuilder.query(matchQueryBuilder);*/ sourceBuilder.query(QueryBuilders.termQuery("age", 24));
sourceBuilder.from(0);
sourceBuilder.size(10);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS)); //是否返回_source字段
//sourceBuilder.fetchSource(false); //设置返回哪些字段
/*String[] includeFields = new String[] {"title", "user", "innerObject.*"};
String[] excludeFields = new String[] {"_type"};
sourceBuilder.fetchSource(includeFields, excludeFields);*/ //指定排序
//sourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC));
//sourceBuilder.sort(new FieldSortBuilder("_uid").order(SortOrder.ASC)); // 设置返回 profile
//sourceBuilder.profile(true); //将请求体加入到请求中
searchRequest.source(sourceBuilder); // 可选的设置
//searchRequest.routing("routing"); // 高亮设置
/*
HighlightBuilder highlightBuilder = new HighlightBuilder();
HighlightBuilder.Field highlightTitle =
new HighlightBuilder.Field("title");
highlightTitle.highlighterType("unified");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightUser = new HighlightBuilder.Field("user");
highlightBuilder.field(highlightUser);
sourceBuilder.highlighter(highlightBuilder);*/ //加入聚合
/*TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_company")
.field("company.keyword");
aggregation.subAggregation(AggregationBuilders.avg("average_age")
.field("age"));
sourceBuilder.aggregation(aggregation);*/ //做查询建议
/*SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);*/ //3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get(); //4、处理响应
//搜索结果状态信息
RestStatus status = searchResponse.status();
TimeValue took = searchResponse.getTook();
Boolean terminatedEarly = searchResponse.isTerminatedEarly();
boolean timedOut = searchResponse.isTimedOut(); //分片搜索情况
int totalShards = searchResponse.getTotalShards();
int successfulShards = searchResponse.getSuccessfulShards();
int failedShards = searchResponse.getFailedShards();
for (ShardSearchFailure failure : searchResponse.getShardFailures()) {
// failures should be handled here
} //处理搜索命中文档结果
SearchHits hits = searchResponse.getHits(); long totalHits = hits.getTotalHits();
float maxScore = hits.getMaxScore(); SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
// do something with the SearchHit String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore(); //取_source字段值
String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*
String documentTitle = (String) sourceAsMap.get("title");
List<Object> users = (List<Object>) sourceAsMap.get("user");
Map<String, Object> innerObject = (Map<String, Object>) sourceAsMap.get("innerObject");
*/
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString); //取高亮结果
/*Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
Text[] fragments = highlight.fragments();
String fragmentString = fragments[0].string();*/
} // 获取聚合结果
/*
Aggregations aggregations = searchResponse.getAggregations();
Terms byCompanyAggregation = aggregations.get("by_company");
Bucket elasticBucket = byCompanyAggregation.getBucketByKey("Elastic");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();
*/ // 获取建议结果
/*Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
}
}
*/ //异步方式发送获查询请求
/*
ActionListener<SearchResponse> listener = new ActionListener<SearchResponse>() {
@Override
public void onResponse(SearchResponse getResponse) {
//结果获取
} @Override
public void onFailure(Exception e) {
//失败处理
}
};
client.searchAsync(searchRequest, listener);
*/ } catch (IOException | InterruptedException | ExecutionException e) {
logger.error(e);
}
}
}
6. highlight 高亮
HighlightDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.Map;
import java.util.concurrent.ExecutionException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField; public class HighlightDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) { // 1、创建search请求
SearchRequest searchRequest = new SearchRequest("hl_test"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构造QueryBuilder
QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("title", "lucene solr");
sourceBuilder.query(matchQueryBuilder); //分页设置
/*sourceBuilder.from(0);
sourceBuilder.size(5); ;*/ // 高亮设置
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.requireFieldMatch(false).field("title").field("content")
.preTags("<strong>").postTags("</strong>");
//不同字段可有不同设置，如不同标签
/*HighlightBuilder.Field highlightTitle = new HighlightBuilder.Field("title");
highlightTitle.preTags("<strong>").postTags("</strong>");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightContent = new HighlightBuilder.Field("content");
highlightContent.preTags("<b>").postTags("</b>");
highlightBuilder.field(highlightContent).requireFieldMatch(false);*/ sourceBuilder.highlighter(highlightBuilder); searchRequest.source(sourceBuilder); //3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get(); //4、处理响应
if(RestStatus.OK.equals(searchResponse.status())) {
//处理搜索命中文档结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits(); SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore(); //取_source字段值
//String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*String title = (String) sourceAsMap.get("title");
String content = (String) sourceAsMap.get("content"); */
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info("sourceMap : " + sourceAsMap);
//取高亮结果
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
if(highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if(fragments != null) {
String fragmentString = fragments[0].string();
logger.info("title highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("title", fragmentString);
}
} highlight = highlightFields.get("content");
if(highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if(fragments != null) {
String fragmentString = fragments[0].string();
logger.info("content highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("content", fragmentString);
}
}
}
} } catch (IOException | InterruptedException | ExecutionException e) {
logger.error(e);
}
}
}
7. suggest 查询建议
SuggestDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.concurrent.ExecutionException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.search.suggest.SuggestBuilder;
import org.elasticsearch.search.suggest.SuggestBuilders;
import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.completion.CompletionSuggestion;
import org.elasticsearch.search.suggest.term.TermSuggestion; public class SuggestDemo { private static Logger logger = LogManager.getRootLogger(); //拼写检查
public static void termSuggest(TransportClient client) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("mess"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.size(0); //做查询建议
//词项建议
SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder); searchRequest.source(sourceBuilder); try{
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get(); //4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
} } catch (InterruptedException | ExecutionException e) {
logger.error(e);
}
/*
"suggest": {
"my-suggestion": [
{
"text": "tring",
"offset": 0,
"length": 5,
"options": [
{
"text": "trying",
"score": 0.8,
"freq": 1
}
]
},
{
"text": "out",
"offset": 6,
"length": 3,
"options": []
},
{
"text": "elasticsearch",
"offset": 10,
"length": 13,
"options": []
}
]
}*/ }
//自动补全
public static void completionSuggester(TransportClient client) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("music"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.size(0); //做查询建议
//自动补全
/*POST music/_search?pretty
{
"suggest": {
"song-suggest" : {
"prefix" : "lucene s",
"completion" : {
"field" : "suggest" ,
"skip_duplicates": true
}
}
}
}*/ SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.completionSuggestion("suggest").prefix("lucene s")
.skipDuplicates(true);
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("song-suggest", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder); searchRequest.source(sourceBuilder); try {
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get(); //4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
CompletionSuggestion termSuggestion = suggest.getSuggestion("song-suggest");
for (CompletionSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (CompletionSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
} } catch (InterruptedException | ExecutionException e) {
logger.error(e);
}
} public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) {
termSuggest(client); logger.info("--------------------------------------"); completionSuggester(client);
} catch (IOException e) {
logger.error(e);
}
}
}
8. aggregation 聚合分析
AggregationDemo.java
package com.study.es_java_client; import java.io.IOException;
import java.util.concurrent.ExecutionException; import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.BucketOrder;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.avg.Avg;
import org.elasticsearch.search.builder.SearchSourceBuilder; public class AggregationDemo { private static Logger logger = LogManager.getRootLogger(); public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) { // 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("bank"); // 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.size(0); //加入聚合
//字段值项分组聚合
TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_age")
.field("age").order(BucketOrder.aggregation("average_balance", true));
//计算每组的平均balance指标
aggregation.subAggregation(AggregationBuilders.avg("average_balance")
.field("balance"));
sourceBuilder.aggregation(aggregation); searchRequest.source(sourceBuilder); //3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get(); //4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取聚合结果
Aggregations aggregations = searchResponse.getAggregations();
Terms byAgeAggregation = aggregations.get("by_age");
logger.info("aggregation by_age 结果");
logger.info("docCountError: " + byAgeAggregation.getDocCountError());
logger.info("sumOfOtherDocCounts: " + byAgeAggregation.getSumOfOtherDocCounts());
logger.info("------------------------------------");
for(Bucket buck : byAgeAggregation.getBuckets()) {
logger.info("key: " + buck.getKeyAsNumber());
logger.info("docCount: " + buck.getDocCount());
//logger.info("docCountError: " + buck.getDocCountError());
//取子聚合
Avg averageBalance = buck.getAggregations().get("average_balance"); logger.info("average_balance: " + averageBalance.getValue());
logger.info("------------------------------------");
}
//直接用key 来去分组
/*Bucket elasticBucket = byCompanyAggregation.getBucketByKey("24");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();*/ } } catch (IOException | InterruptedException | ExecutionException e) {
logger.error(e);
}
}
}
9. 官网文档
Document API 文档操作API：
https://www.elastic.co/guide/en/elasticsearch/client/java-api/6.2/java-docs.html
Search API：
https://www.elastic.co/guide/en/elasticsearch/client/java-api/6.2/java-search.html
10.源代码获取地址
https://github.com/Star-Lordxing/ES-java-client-api
七、集成Spring
1.集成spring参考官方文档
官网链接：
https://docs.spring.io/spring-data/elasticsearch/docs/current/reference/html/
代码库：
https://github.com/spring-projects/spring-data-elasticsearch
2.集成spring boot
参考博客：https://blog.csdn.net/yejingtao703/article/details/78414874
spring 最新集成包只有ES 5.5，推荐使用ES提供原生Client包
参考
https://www.cnblogs.com/leeSmall/p/9218779.html
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