SpringBoot_持久化方案_Elasticsearch
方式一:TransportClient
ES提供的传统客户端,官方计划8.0版本删除此客户端
引入依赖
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<version>6.2.3</version>
</dependency>
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>6.2.3</version>
</dependency>
ES配置
@Getter
@Setter
@Configuration
@ConfigurationProperties(prefix = "elasticsearch")
public class ElasticSearchConfig {
private String clusterName;
private String clusterNodes;
/**
* 使用elasticsearch实现类时才触发
*
* @return
*/
@Bean
@ConditionalOnBean(value = EsServiceImpl.class)
public TransportClient getESClient() {
// 设置集群名字
Settings settings = Settings.builder().put("cluster.name", this.clusterName).build();
TransportClient client = new PreBuiltTransportClient(settings);
try {
// 读取的ip列表是以逗号分隔的
for (String clusterNode : this.clusterNodes.split(",")) {
String ip = clusterNode.split(":")[0];
String port = clusterNode.split(":")[1];
((TransportClient) client)
.addTransportAddress(new TransportAddress(InetAddress.getByName(ip), Integer.parseInt(port)));
}
} catch (UnknownHostException e) {
e.printStackTrace();
}
return client;
}
}
配置文件
elasticsearch:
clusterName: elasticsearch
clusterNodes: 127.0.0.1:9300
初始化索引
private static final String INDEX = "index_logs"; //日志
private static final String TYPE = "type_logs";
@Autowired
private TransportClient client;
/**
* 初始化日志es索引
*/
@PostConstruct
public void initIndex() {
LogService logService = applicationContext.getBean(LogService.class);//获取spring容器对象
// 日志实现是否采用elasticsearch
boolean flag = (logService instanceof EsLogServiceImpl);
if (!flag) {
return;
}
try {
// 判断索引是否存在
IndicesExistsResponse indicesExistsResponse = client.admin().indices()
.exists(new IndicesExistsRequest(INDEX)).get();
if (indicesExistsResponse.isExists()) {
return;
}
} catch (InterruptedException e) {
e.printStackTrace();
} catch (ExecutionException e) {
e.printStackTrace();
}
CreateIndexRequestBuilder requestBuilder = client.admin().indices().prepareCreate(INDEX);
CreateIndexResponse createIndexResponse = requestBuilder.execute().actionGet();
if (createIndexResponse.isAcknowledged()) {
logger.info("索引:{},创建成功", INDEX);
} else {
logger.error("索引:{},创建失败", INDEX);
}
}
相关操作
保存
private static final String INDEX = "index_logs"; //日志
private static final String TYPE = "type_logs";
@Autowired
private TransportClient client;
// ========代码示例========
String string = JSONObject.toJSONString(log);
IndexRequestBuilder builder = client.prepareIndex(INDEX, TYPE).setSource(string, XContentType.JSON);
builder.execute();
查询
private static final String INDEX = "index_logs"; //日志
private static final String TYPE = "type_logs";
@Autowired
private TransportClient client;
// ========代码示例========
SearchRequestBuilder builder = client.prepareSearch().setIndices(INDEX).setTypes(TYPE);
BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
//查询条件拼装
queryBuilder.must(QueryBuilders.wildcardQuery("username", "*" + username + "*"));//模糊查询
queryBuilder.must(QueryBuilders.matchQuery("flag", bool));//精确查询
queryBuilder.must(QueryBuilders.rangeQuery("createTime").from(toTimestamp(2019-02-19T00:00:00)));//查询创建时间大于2019-02-19 00:00:00
queryBuilder.must(QueryBuilders.rangeQuery("createTime").to(toTimestamp(2019-02-20T23:59:59)));//并且创建时间小于2019-02-20 23:59:59
//封装请求对象
builder.setPostFilter(queryBuilder);
//排序和分页
builder.addSort("createTime", SortOrder.DESC);//根据createTime字段值降序查询列表
builder.setFrom(start);//分页查询 第一页为0
builder.setSize(length);//查询记录数据
//高亮查询---选用
HighlightBuilder highlightBuilder=new HighlightBuilder();
highlightBuilder.preTags("<span style=\"color:red\">");
highlightBuilder.postTags("</span>");
highlightBuilder.field("title");//设置查询字段
builder.highlighter(highlightBuilder);
//获取响应数据
SearchResponse searchResponse = builder.get();
SearchHits searchHits = searchResponse.getHits();
Long total = searchHits.getTotalHits();//查询到的记录数
int size = searchHits.getHits().length;
List<Log> list = new ArrayList<Log>(size);//查询的list数据
if (size > 0) {
//封装数据
searchHits.forEach(hit -> {
String val = hit.getSourceAsString();//获取查询原数据
//高亮查询---选用
Map<String, HighlightField> highlightFields = hit.getHighlightFields();//获取高亮数据
HighlightField highlightField = highlightFields.get("title");
Text[] texts = highlightField.getFragments();
String title = "";
for (Text text : texts) {
title += text;
}
Log parseObject = JSONObject.parseObject(val, Log.class);
//高亮查询---选用
parseObject .setTitle(title);
list.add(parseObject );
});
}
//格式yyyy-MM-ddT00:00:00 yyyy-MM-ddT23:59:59
private Long toTimestamp(String str) {
LocalDateTime localDateTime = LocalDateTime.parse(str);
Date date = Date.from(localDateTime.atZone(ZoneId.systemDefault()).toInstant());
return date.getTime();
}
方式二:RestClient
RestClient是官方推荐使用的,它包括两种:Java Low Level REST Client和 Java High Level REST Client。
ES在6.0之后提供 Java High Level REST Client, 两种客户端官方更推荐使用 Java High Level REST Client,不过当前它还处于完善中,有些功能还没有。
引入依赖
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch‐rest‐high‐level‐client</artifactId>
<version>6.2.1</version>
</dependency>
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<version>6.2.1</version>
</dependency>
配置文件application.yml
plxc:
elasticsearch:
hostlist: ${eshostlist:127.0.0.1:9200} #多个结点中间用逗号分隔
course:
index: xc_course
type: doc
source_field: id,name,grade,mt,st,charge,valid,pic,qq,price,price_old,status,studymodel,teachmode,expires,pub_time,start_time,end_time
media:
index: xc_course_media
type: doc
source_field: courseid,media_id,media_url,teachplan_id,media_fileoriginalname
配置源码
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class ElasticsearchConfig {
@Value("${xuecheng.elasticsearch.hostlist}")
private String hostlist;
@Bean
public RestHighLevelClient restHighLevelClient(){
//解析hostlist配置信息
String[] split = hostlist.split(",");
//创建HttpHost数组,其中存放es主机和端口的配置信息
HttpHost[] httpHostArray = new HttpHost[split.length];
for(int i=0;i<split.length;i++){
String item = split[i];
httpHostArray[i] = new HttpHost(item.split(":")[0], Integer.parseInt(item.split(":")[1]), "http");
}
//创建RestHighLevelClient客户端
return new RestHighLevelClient(RestClient.builder(httpHostArray));
}
//项目主要使用RestHighLevelClient,对于低级的客户端暂时不用
@Bean
public RestClient restClient(){
//解析hostlist配置信息
String[] split = hostlist.split(",");
//创建HttpHost数组,其中存放es主机和端口的配置信息
HttpHost[] httpHostArray = new HttpHost[split.length];
for(int i=0;i<split.length;i++){
String item = split[i];
httpHostArray[i] = new HttpHost(item.split(":")[0], Integer.parseInt(item.split(":")[1]), "http");
}
return RestClient.builder(httpHostArray).build();
}
}
创建索引
@SpringBootTest
@RunWith(SpringRunner.class)
public class TestIndex {
@Autowired
RestHighLevelClient client;
@Autowired
RestClient restClient;
//创建索引库
@Test
public void testCreateIndex() throws IOException {
//创建索引对象
CreateIndexRequest createIndexRequest = new CreateIndexRequest("xc_course");
//设置参数
createIndexRequest.settings(Settings.builder().put("number_of_shards","1").put("number_of_replicas","0"));
//指定映射
createIndexRequest.mapping("doc"," {\n" +
" \t\"properties\": {\n" +
" \"studymodel\":{\n" +
" \"type\":\"keyword\"\n" +
" },\n" +
" \"name\":{\n" +
" \"type\":\"keyword\"\n" +
" },\n" +
" \"description\": {\n" +
" \"type\": \"text\",\n" +
" \"analyzer\":\"ik_max_word\",\n" +
" \"search_analyzer\":\"ik_smart\"\n" +
" },\n" +
" \"pic\":{\n" +
" \"type\":\"text\",\n" +
" \"index\":false\n" +
" }\n" +
" \t}\n" +
"}", XContentType.JSON);
//操作索引的客户端
IndicesClient indices = client.indices();
//执行创建索引库
CreateIndexResponse createIndexResponse = indices.create(createIndexRequest);
//得到响应
boolean acknowledged = createIndexResponse.isAcknowledged();
System.out.println(acknowledged);
}
//删除索引库
@Test
public void testDeleteIndex() throws IOException {
//删除索引对象
DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest("xc_course");
//操作索引的客户端
IndicesClient indices = client.indices();
//执行删除索引
DeleteIndexResponse delete = indices.delete(deleteIndexRequest);
//得到响应
boolean acknowledged = delete.isAcknowledged();
System.out.println(acknowledged);
}
//添加文档
@Test
public void testAddDoc() throws IOException {
//文档内容
//准备json数据
Map<String, Object> jsonMap = new HashMap<>();
jsonMap.put("name", "spring cloud实战");
jsonMap.put("description", "本课程主要从四个章节进行讲解: 1.微服务架构入门 2.spring cloud 基础入门 3.实战Spring Boot 4.注册中心eureka。");
jsonMap.put("studymodel", "201001");
SimpleDateFormat dateFormat =new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
jsonMap.put("timestamp", dateFormat.format(new Date()));
jsonMap.put("price", 5.6f);
//创建索引创建对象
IndexRequest indexRequest = new IndexRequest("xc_course","doc");
//文档内容
indexRequest.source(jsonMap);
//通过client进行http的请求
IndexResponse indexResponse = client.index(indexRequest);
DocWriteResponse.Result result = indexResponse.getResult();
System.out.println(result);
}
//查询文档
@Test
public void testGetDoc() throws IOException {
//查询请求对象
GetRequest getRequest = new GetRequest("xc_course","doc","tzk2-mUBGsEnDOUe482B");
GetResponse getResponse = client.get(getRequest);
//得到文档的内容
Map<String, Object> sourceAsMap = getResponse.getSourceAsMap();
System.out.println(sourceAsMap);
}
}
查询
@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
@Autowired
RestHighLevelClient client;
@Autowired
RestClient restClient;
//搜索全部记录
@Test
public void testSearchAll() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式
//matchAllQuery搜索全部
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//分页查询
@Test
public void testSearchPage() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//设置分页参数
//页码
int page = 1;
//每页记录数
int size = 1;
//计算出记录起始下标
int from = (page-1)*size;
searchSourceBuilder.from(from);//起始记录下标,从0开始
searchSourceBuilder.size(size);//每页显示的记录数
//搜索方式
//matchAllQuery搜索全部
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//TermQuery
@Test
public void testTermQuery() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//设置分页参数
//页码
int page = 1;
//每页记录数
int size = 1;
//计算出记录起始下标
int from = (page-1)*size;
searchSourceBuilder.from(from);//起始记录下标,从0开始
searchSourceBuilder.size(size);//每页显示的记录数
//搜索方式
//termQuery
searchSourceBuilder.query(QueryBuilders.termQuery("name","spring"));
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//根据id查询
@Test
public void testTermQueryByIds() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式
//根据id查询
//定义id
String[] ids = new String[]{"1","2"};
searchSourceBuilder.query(QueryBuilders.termsQuery("_id",ids));
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//MatchQuery
@Test
public void testMatchQuery() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式
//MatchQuery
searchSourceBuilder.query(QueryBuilders.matchQuery("description","spring开发框架")
.minimumShouldMatch("80%"));
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//MultiMatchQuery
@Test
public void testMultiMatchQuery() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//搜索方式
//MultiMatchQuery
searchSourceBuilder.query(QueryBuilders.multiMatchQuery("spring css","name","description")
.minimumShouldMatch("50%")
.field("name",10));
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//BoolQuery
@Test
public void testBoolQuery() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式
//先定义一个MultiMatchQuery
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
.minimumShouldMatch("50%")
.field("name", 10);
//再定义一个termQuery
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("studymodel", "201001");
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
boolQueryBuilder.must(termQueryBuilder);
searchSourceBuilder.query(boolQueryBuilder);
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//filter
@Test
public void testFilter() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式
//先定义一个MultiMatchQuery
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
.minimumShouldMatch("50%")
.field("name", 10);
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
//定义过虑器
boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel","201001"));
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(90).lte(100));
searchSourceBuilder.query(boolQueryBuilder);
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//Sort
@Test
public void testSort() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//定义过虑器
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));
searchSourceBuilder.query(boolQueryBuilder);
//添加排序
searchSourceBuilder.sort("studymodel", SortOrder.DESC);
searchSourceBuilder.sort("price", SortOrder.ASC);
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
//Highlight
@Test
public void testHighlight() throws IOException, ParseException {
//搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
//指定类型
searchRequest.types("doc");
//搜索源构建对象
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//boolQuery搜索方式
//先定义一个MultiMatchQuery
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("开发框架", "name", "description")
.minimumShouldMatch("50%")
.field("name", 10);
//定义一个boolQuery
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
//定义过虑器
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));
searchSourceBuilder.query(boolQueryBuilder);
//设置源字段过虑,第一个参数结果集包括哪些字段,第二个参数表示结果集不包括哪些字段
searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},new String[]{});
//设置高亮
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.preTags("<tag>");
highlightBuilder.postTags("</tag>");
highlightBuilder.fields().add(new HighlightBuilder.Field("name"));
// highlightBuilder.fields().add(new HighlightBuilder.Field("description"));
searchSourceBuilder.highlighter(highlightBuilder);
//向搜索请求对象中设置搜索源
searchRequest.source(searchSourceBuilder);
//执行搜索,向ES发起http请求
SearchResponse searchResponse = client.search(searchRequest);
//搜索结果
SearchHits hits = searchResponse.getHits();
//匹配到的总记录数
long totalHits = hits.getTotalHits();
//得到匹配度高的文档
SearchHit[] searchHits = hits.getHits();
//日期格式化对象
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
for(SearchHit hit:searchHits){
//文档的主键
String id = hit.getId();
//源文档内容
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
//源文档的name字段内容
String name = (String) sourceAsMap.get("name");
//取出高亮字段
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
if(highlightFields!=null){
//取出name高亮字段
HighlightField nameHighlightField = highlightFields.get("name");
if(nameHighlightField!=null){
Text[] fragments = nameHighlightField.getFragments();
StringBuffer stringBuffer = new StringBuffer();
for(Text text:fragments){
stringBuffer.append(text);
}
name = stringBuffer.toString();
}
}
//由于前边设置了源文档字段过虑,这时description是取不到的
String description = (String) sourceAsMap.get("description");
//学习模式
String studymodel = (String) sourceAsMap.get("studymodel");
//价格
Double price = (Double) sourceAsMap.get("price");
//日期
Date timestamp = dateFormat.parse((String) sourceAsMap.get("timestamp"));
System.out.println(name);
System.out.println(studymodel);
System.out.println(description);
}
}
}
本文介绍SpringBoot项目中集成Elasticsearch的方式,包括TransportClient和RestClient两种客户端的使用方法,涵盖依赖引入、配置、索引管理及文档的增删改查等核心操作。
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