文章目录
数据聚合
聚合分类
自动补全
DSL实现Bucket聚合
DSL实现Metrics聚合
RestAPI实现聚合
测试类
java
@Test
void testAggregation() throws IOException {
//1.准备Request
SearchRequest request = new SearchRequest("hotel");
//2.准备DSL
//2.1 设置size
request.source().size(0);
//2.2 聚合
request.source().aggregation(AggregationBuilders
.terms("brandAgg")
.field("brand")
.size(20));
//3.发出请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
//4.解析结果
System.out.println(response);
}
java
@Test
void testAggregation() throws IOException {
//1.准备Request
SearchRequest request = new SearchRequest("hotel");
//2.准备DSL
//2.1 设置size
request.source().size(0);
//2.2 聚合
request.source().aggregation(AggregationBuilders
.terms("brandAgg")
.field("brand")
.size(20));
//3.发出请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
//4.解析结果
Aggregations aggregations = response.getAggregations();
//4.1 根据聚合名称获取聚合结果
Terms brandTerms = aggregations.get("brandAgg");
//4.2 获取buckets
List<? extends Terms.Bucket> buckets = brandTerms.getBuckets();
//4.3 遍历
for (Terms.Bucket bucket : buckets) {
//4.4获取key
String key = bucket.getKeyAsString();
System.out.println(key);
}
}多条件聚合
Service实现类中
java
@Override
public Map<String, List<String>> filters() {
//1.准备Request
SearchRequest request = new SearchRequest("hotel");
//2.准备DSL
//2.1 设置size
request.source().size(0);
//2.2 聚合
buildAggregation(request);
//3.发出请求
SearchResponse response = null;
try {
response = client.search(request, RequestOptions.DEFAULT);
} catch (IOException e) {
throw new RuntimeException(e);
}
//4.解析结果
Map<String, List<String>> result = new HashMap<>();
Aggregations aggregations = response.getAggregations();
//4.1 根据名称获取品牌结果 并放入map
List<String> brandList = getAggByName(aggregations,"brandAgg");
result.put("品牌", brandList);
List<String> cityList = getAggByName(aggregations,"cityAgg");
result.put("城市", cityList);
List<String> starList = getAggByName(aggregations,"starAgg");
result.put("星级", starList);
return result;
}
private List<String> getAggByName(Aggregations aggregations,String aggName) {
//4.1 根据聚合名称获取聚合结果
Terms brandTerms = aggregations.get(aggName);
//4.2 获取buckets
List<? extends Terms.Bucket> buckets = brandTerms.getBuckets();
//4.3 遍历
List<String> brandList = new ArrayList<>();
for (Terms.Bucket bucket : buckets) {
//4.4获取key
String key = bucket.getKeyAsString();
brandList.add(key);
}
return brandList;
}
private void buildAggregation(SearchRequest request) {
request.source().aggregation(AggregationBuilders
.terms("brandAgg")
.field("brand")
.size(100));
request.source().aggregation(AggregationBuilders
.terms("cityAgg")
.field("city")
.size(100));
request.source().aggregation(AggregationBuilders
.terms("starAgg")
.field("starName")
.size(100));
}对接前端接口
拼音分词器
自定义分词器
自动补全查询
实现酒店搜索框自动补全
DSK代码
js
DELETE /hotel
# 酒店数据索引库
PUT /hotel
{
"settings": {
"analysis": {
"analyzer": {
"text_anlyzer": {
"tokenizer": "ik_max_word",
"filter": "py"
},
"completion_analyzer": {
"tokenizer": "keyword",
"filter": "py"
}
},
"filter": {
"py": {
"type": "pinyin",
"keep_full_pinyin": false,
"keep_joined_full_pinyin": true,
"keep_original": true,
"limit_first_letter_length": 16,
"remove_duplicated_term": true,
"none_chinese_pinyin_tokenize": false
}
}
}
},
"mappings": {
"properties": {
"id":{
"type": "keyword"
},
"name":{
"type": "text",
"analyzer": "text_anlyzer",
"search_analyzer": "ik_smart",
"copy_to": "all"
},
"address":{
"type": "keyword",
"index": false
},
"price":{
"type": "integer"
},
"score":{
"type": "integer"
},
"brand":{
"type": "keyword",
"copy_to": "all"
},
"city":{
"type": "keyword"
},
"starName":{
"type": "keyword"
},
"business":{
"type": "keyword",
"copy_to": "all"
},
"location":{
"type": "geo_point"
},
"pic":{
"type": "keyword",
"index": false
},
"all":{
"type": "text",
"analyzer": "text_anlyzer",
"search_analyzer": "ik_smart"
},
"suggestion":{
"type": "completion",
"analyzer": "completion_analyzer"
}
}
}
}
GET /hotel/_search
{
"query": {
"match_all": {}
}
}
GET /hotel/_search
{
"suggest": {
"suggestions": {
"text": "",
"completion": {
"field": "suggestion",
"skip_duplicates": true,
"size": 10
}
}
}
}修改实体类
java
@Data
@NoArgsConstructor
public class HotelDoc {
private Long id;
private String name;
private String address;
private Integer price;
private Integer score;
private String brand;
private String city;
private String starName;
private String business;
private String location;
private String pic;
private Object distance;
private Boolean isAD;
private List<String> suggestion;
public HotelDoc(Hotel hotel) {
this.id = hotel.getId();
this.name = hotel.getName();
this.address = hotel.getAddress();
this.price = hotel.getPrice();
this.score = hotel.getScore();
this.brand = hotel.getBrand();
this.city = hotel.getCity();
this.starName = hotel.getStarName();
this.business = hotel.getBusiness();
this.location = hotel.getLatitude() + ", " + hotel.getLongitude();
this.pic = hotel.getPic();
if (this.business.contains("/")){
//business有多个点，需要切割
String[] arr = this.business.split("/");
//添加元素
this.suggestion = new ArrayList<>();
this.suggestion.add(this.brand);
Collections.addAll(this.suggestion, arr);
}else {
this.suggestion = Arrays.asList(this.brand,this.business);
}
}
}
建立测试类
java
@Test
void testSuggest() throws IOException {
//1.准备Request
SearchRequest request = new SearchRequest("hotel");
//2.准备DSL
request.source().suggest(new SuggestBuilder().
addSuggestion("suggestions", SuggestBuilders
.completionSuggestion("suggestion")
.prefix("h")
.skipDuplicates(true)
.size(10)
));
//3.发起请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
///4.解析结果
System.out.println(response);
}
测试类
java
@Test
void testSuggest() throws IOException {
//1.准备Request
SearchRequest request = new SearchRequest("hotel");
//2.准备DSL
request.source().suggest(new SuggestBuilder().
addSuggestion("suggestions", SuggestBuilders
.completionSuggestion("suggestion")
.prefix("h")
.skipDuplicates(true)
.size(10)
));
//3.发起请求
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
///4.解析结果
Suggest suggest = response.getSuggest();
//4.1根据补全查询名称获取补全结果
CompletionSuggestion suggestions = suggest.getSuggestion("suggestions");
//4.2 获取options
List<CompletionSuggestion.Entry.Option> options = suggestions.getOptions();
//4.3 遍历
for (CompletionSuggestion.Entry.Option option : options) {
String text = option.getText().toString();
System.out.println(text);
}
}
java
@Override
public List<String> getSuggestions(String prefix) {
//1.准备Request
SearchRequest request = new SearchRequest("hotel");
//2.准备DSL
request.source().suggest(new SuggestBuilder().
addSuggestion("suggestions", SuggestBuilders
.completionSuggestion("suggestion")
.prefix(prefix)
.skipDuplicates(true)
.size(10)
));
//3.发起请求
SearchResponse response = null;
try {
response = client.search(request, RequestOptions.DEFAULT);
} catch (IOException e) {
throw new RuntimeException(e);
}
///4.解析结果
Suggest suggest = response.getSuggest();
//4.1根据补全查询名称获取补全结果
CompletionSuggestion suggestions = suggest.getSuggestion("suggestions");
//4.2 获取options
List<CompletionSuggestion.Entry.Option> options = suggestions.getOptions();
//4.3 遍历
List<String> list = new ArrayList<>(options.size());
for (CompletionSuggestion.Entry.Option option : options) {
String text = option.getText().toString();
list.add(text);
}
return list;
}数据同步
数据同步思路分析
利用mq实现mysql与elasticsearch数据同步
声明excahnge、queue、RoutingKey
java
public class MqConstants {
//交换机
public final static String HOTEL_EXCHANGE = "hotel.topic";
//新增修改的队列
public final static String HOTEL_INSERT_QUEUE = "hotel.insert.queue";
//删除队列
public final static String HOTEL_DELETE_QUEUE = "hotel.delete.queue";
//新增获修改RoutingKey
public final static String HOTEL_INSERT_KEY = "hotel.insert";
//删除的RoutingKey
public final static String HOTEL_DELETE_KEY = "hotel.delete";
}
java
@Configuration
public class MqConfig {
@Bean
public TopicExchange topicExchange(){
return new TopicExchange(MqConstants.HOTEL_EXCHANGE,true,false);
}
@Bean
public Queue insertQueue(){
return new Queue(MqConstants.HOTEL_INSERT_QUEUE,true);
}
@Bean
public Queue deleteQueue(){
return new Queue(MqConstants.HOTEL_DELETE_QUEUE,true);
}
@Bean
public Binding insertQueueBinding(){
return BindingBuilder.bind(insertQueue()).to(topicExchange()).with(MqConstants.HOTEL_INSERT_KEY);
}
@Bean
public Binding deleteQueueBinding(){
return BindingBuilder.bind(deleteQueue()).to(topicExchange()).with(MqConstants.HOTEL_DELETE_KEY);
}
}yaml配置
yml
rabbitmq:
host: xxx.xxx.x.xxx(主机地址)
port: 5672
username: itcast
password: 123321
virtual-host: /在hotel-admin中增、删、改业务中完成消息发送
mq组件
java
@Component
public class HotelListener {
@Autowired
private IHotelService hotelService;
/**
* 监听酒店新增或修改的业务
* @param id
*/
@RabbitListener(queues = MqConstants.HOTEL_INSERT_QUEUE)
public void listenHotelInsertOrUpdate(Long id){
hotelService.insertById(id);
}
/**
* 监听酒店删除的业务
* @param id
*/
@RabbitListener(queues = MqConstants.HOTEL_DELETE_QUEUE)
public void listenHotelDelete(Long id){
hotelService.deleteById(id);
}
}实现类
java
@Autowired
private RabbitTemplate rabbitTemplate;
@PostMapping
public void saveHotel(@RequestBody Hotel hotel){
hotelService.save(hotel);
rabbitTemplate.convertAndSend(MqConstants.HOTEL_EXCHANGE, MqConstants.HOTEL_INSERT_KEY, hotel.getId());
}
@PutMapping()
public void updateById(@RequestBody Hotel hotel){
if (hotel.getId() == null) {
throw new InvalidParameterException("id不能为空");
}
hotelService.updateById(hotel);
rabbitTemplate.convertAndSend(MqConstants.HOTEL_EXCHANGE, MqConstants.HOTEL_INSERT_KEY, hotel.getId());
}
@DeleteMapping("/{id}")
public void deleteById(@PathVariable("id") Long id) {
hotelService.removeById(id);
rabbitTemplate.convertAndSend(MqConstants.HOTEL_EXCHANGE, MqConstants.HOTEL_DELETE_KEY, id);
}在hotel-demo中完成消息监听，并更新elasticsearch中的数据
java
@Override
public void deleteById(Long id) {
//1.准备Request
DeleteRequest request = new DeleteRequest("hotel",id.toString());
//2.准备发送请求
try {
client.delete(request, RequestOptions.DEFAULT);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
@Override
public void insertById(Long id) {
//0.根据id查询酒店数据
Hotel hotel = getById(id);
//转换文档类型
HotelDoc hotelDoc = new HotelDoc(hotel);
//1.准备Request
IndexRequest request = new IndexRequest("hotel").id(hotel.getId().toString());
//2.准备JSON文档
request.source(JSON.toJSONString(hotelDoc), XContentType.JSON);
//3.准备发送请求
try {
client.index(request, RequestOptions.DEFAULT);
} catch (IOException e) {
throw new RuntimeException(e);
}
}集群
介绍
搭建ES集群
yml
version: '2.2'
services:
es01:
image: docker.elastic.co/elasticsearch/elasticsearch:7.12.1
container_name: es01
environment:
- node.name=es01
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es02,es03
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data01:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- elastic
es02:
image: docker.elastic.co/elasticsearch/elasticsearch:7.12.1
container_name: es02
environment:
- node.name=es02
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es01,es03
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data02:/usr/share/elasticsearch/data
networks:
- elastic
es03:
image: docker.elastic.co/elasticsearch/elasticsearch:7.12.1
container_name: es03
environment:
- node.name=es03
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es01,es02
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data03:/usr/share/elasticsearch/data
networks:
- elastic
volumes:
data01:
driver: local
data02:
driver: local
data03:
driver: local
networks:
elastic:
driver: bridge
