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應用說明見代碼注解。

1.簡單搜索實例展示：

public void search() throws IOException {// 自定義集群結點名稱String clusterName = "elasticsearch_pudongping";// 獲取客戶端Client client = ESClient.initClient(clusterName);// 創建查詢索引,參數productindex表示要查詢的索引庫為productindexSearchRequestBuilder searchRequestBuilder = client.prepareSearch("productindex");// 設置查詢索引類型,setTypes("productType1", "productType2","productType3");// 用來設定在多個類型中搜索searchRequestBuilder.setTypes("productIndex");// 設置查詢類型 1.SearchType.DFS_QUERY_THEN_FETCH = 精確查詢 2.SearchType.SCAN =// 掃描查詢,無序searchRequestBuilder.setSearchType(SearchType.DFS_QUERY_THEN_FETCH);// 設置查詢關鍵詞searchRequestBuilder.setQuery(QueryBuilders.fieldQuery("title", "Acer"));// 查詢過濾器過濾價格在4000-5000內 這里范圍為[4000,5000]區間閉包含,搜索結果包含價格為4000和價格為5000的數據searchRequestBuilder.setFilter(FilterBuilders.rangeFilter("price").from(4000).to(5000));// 分頁應用searchRequestBuilder.setFrom(0).setSize(60);// 設置是否按查詢匹配度排序searchRequestBuilder.setExplain(true);// 執行搜索,返回搜索響應信息SearchResponse response = searchRequestBuilder.execute().actionGet();SearchHits searchHits = response.getHits();SearchHit[] hits = searchHits.getHits();for (int i = 0; i < hits.length; i++) {SearchHit hit = hits[i];Map<String, Object> result = hit.getSource();// 打印map集合:{id=26, onSale=true, title=宏基Acer樂3, price=4009.0,// description=null, createDate=1380530123140, type=2}System.out.println(result);}System.out.println("search success ..");}

說明:

client.prepareSearch用來創建一個SearchRequestBuilder，搜索即由SearchRequestBuilder執行。

client.prepareSearch方法有參數為一個或多個index，表現在數據庫中，即零個或多個數據庫名，你既可以使用(下面兩個都可以表示在多個索引庫中查找)：

client.prepareSearch().setIndices("index1","index2","index3","index4");

或者:

client.prepareSearch("index1","index2","index3","index4");

SearchRequestBuilder常用方法說明:

(1) setIndices(String... indices)：上文中描述過，參數可為一個或多個字符串，表示要進行檢索的index；(2) setTypes(String... types)：參數可為一個或多個字符串，表示要進行檢索的type，當參數為0個或者不調用此方法時，表示查詢所有的type；setSearchType(SearchType searchType)：執行檢索的類別，值為org.elasticsearch.action.search.SearchType的元素，SearchType是一個枚舉類型的類，其值如下所示：QUERY_THEN_FETCH:查詢是針對所有的塊執行的，但返回的是足夠的信息，而不是文檔內容（Document）。結果會被排序和分級，基于此，只有相關的塊的文檔對象會被返回。由于被取到的僅僅是這些，故而返回的hit的大小正好等于指定的size。這對于有許多塊的index來說是很便利的（返回結果不會有重復的，因為塊被分組了）QUERY_AND_FETCH:最原始（也可能是最快的）實現就是簡單的在所有相關的shard上執行檢索并返回結果。每個shard返回一定尺寸的結果。由于每個shard已經返回了一定尺寸的hit，這種類型實際上是返回多個shard的一定尺寸的結果給調用者。DFS_QUERY_THEN_FETCH：與QUERY_THEN_FETCH相同，預期一個初始的散射相伴用來為更準確的score計算分配了的term頻率。DFS_QUERY_AND_FETCH:與QUERY_AND_FETCH相同，預期一個初始的散射相伴用來為更準確的score計算分配了的term頻率。SCAN：在執行了沒有進行任何排序的檢索時執行瀏覽。此時將會自動的開始滾動結果集。COUNT：只計算結果的數量，也會執行facet。(4) setSearchType(String searchType)，與setSearchType(SearchType searchType)類似，區別在于其值為字符串型的SearchType，值可為dfs_query_then_fetch、dfsQueryThenFetch、dfs_query_and_fetch、dfsQueryAndFetch、query_then_fetch、queryThenFetch、query_and_fetch或queryAndFetch；(5) setScroll(Scroll scroll)、setScroll(TimeValue keepAlive)和setScroll(String keepAlive)，設置滾動，參數為Scroll時，直接用new Scroll(TimeValue)構造一個Scroll，為TimeValue或String時需要將TimeValue和String轉化為Scroll；(6) setTimeout(TimeValue timeout)和setTimeout(String timeout)，設置搜索的超時時間；(7) setQuery，設置查詢使用的Query；(8) setFilter，設置過濾器；(9) setMinScore，設置Score的最小數量；(10) setFrom，從哪一個Score開始查；(11) setSize，需要查詢出多少條結果；

檢索出結果后，通過response.getHits()可以得到所有的SearchHit，得到Hit后，便可迭代Hit取到對應的Document，轉化成為需要的實體。

2.搜索高亮顯示

spring-boot-starter-data-elasticsearch高亮顯示場景的一個Demo

org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder
org.springframework.data.elasticsearch.core.SearchResultMapper
org.springframework.data.domain.PageImpl
org.elasticsearch.action.search.SearchResponse
org.elasticsearch.search.SearchHit
org.elasticsearch.search.highlight.HighlightField

String preTag = "<font color='#dd4b39'>";//google的色值String postTag = "</font>";SearchQuery searchQuery = new NativeSearchQueryBuilder().withQuery(queryBuilder).withFilter(QueryBuilders.termQuery("status", CommConstants.ItemStatus.Normal)).withSort(SortBuilders.fieldSort("modifiedTime").order(SortOrder.DESC)).withPageable(pageable).withHighlightFields(new HighlightBuilder.Field("name").preTags(preTag).postTags(postTag), new HighlightBuilder.Field("memo").preTags(preTag).postTags(postTag)).build();return elasticsearchTemplate.queryForPage(searchQuery, UserDocument.class, new SearchResultMapper() {@Overridepublic <T> Page<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable) {List<UserDocument> chunk = new ArrayList<>();for (SearchHit searchHit : response.getHits()) {if (response.getHits().getHits().length <= 0) {return null;}UserDocument user = new UserDocument();user.setId(Long.valueOf(searchHit.getId()));//name or memoeHighlightField name = searchHit.getHighlightFields().get("name");if (name != null) {user.setName(name.fragments()[0].toString());}HighlightField memo = searchHit.getHighlightFields().get("memo");if (memo != null) {user.setMemo(memo.fragments()[0].toString());}chunk.add(user);}if (chunk.size() > 0) {return new PageImpl<T>((List<T>) chunk);}return null;}});

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@Test public void shouldReturnHighlightedFieldsForGivenQueryAndFields() {//givenString documentId = randomNumeric(5);String actualMessage = "some test message";String highlightedMessage = "some <em>test</em> message";SampleEntity sampleEntity = SampleEntity.builder().id(documentId).message(actualMessage).version(System.currentTimeMillis()).build();IndexQuery indexQuery = getIndexQuery(sampleEntity);elasticsearchTemplate.index(indexQuery);elasticsearchTemplate.refresh(SampleEntity.class);SearchQuery searchQuery = new NativeSearchQueryBuilder().withQuery(termQuery("message", "test")).withHighlightFields(new HighlightBuilder.Field("message")).build();Page<SampleEntity> sampleEntities = elasticsearchTemplate.queryForPage(searchQuery, SampleEntity.class, new SearchResultMapper() {@Overridepublic <T> Page<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable) {List<SampleEntity> chunk = new ArrayList<SampleEntity>();for (SearchHit searchHit : response.getHits()) {if (response.getHits().getHits().length <= 0) {return null;}SampleEntity user = new SampleEntity();user.setId(searchHit.getId());user.setMessage((String) searchHit.getSource().get("message"));user.setHighlightedMessage(searchHit.getHighlightFields().get("message").fragments()[0].toString());chunk.add(user);}if (chunk.size() > 0) {return new PageImpl<T>((List<T>) chunk);}return null;}});assertThat(sampleEntities.getContent().get(0).getHighlightedMessage(), is(highlightedMessage)); }

http://stackoverflow.com/questions/37049764/how-to-provide-highlighting-with-spring-data-elasticsearch

SearchRequestBuilder中的addHighlightedField()方法可以定制在哪個域值的檢索結果的關鍵字上增加高亮

public void search() throws IOException {// 自定義集群結點名稱String clusterName = "elasticsearch_pudongping";// 獲取客戶端Client client = ESClient.initClient(clusterName); // 創建查詢索引,參數productindex表示要查詢的索引庫為productindexSearchRequestBuilder searchRequestBuilder = client.prepareSearch("productindex");// 設置查詢索引類型,setTypes("productType1", "productType2","productType3");// 用來設定在多個類型中搜索searchRequestBuilder.setTypes("productIndex");// 設置查詢類型 1.SearchType.DFS_QUERY_THEN_FETCH = 精確查詢 2.SearchType.SCAN = 掃描查詢,無序searchRequestBuilder.setSearchType(SearchType.DFS_QUERY_THEN_FETCH);// 設置查詢關鍵詞searchRequestBuilder.setQuery(QueryBuilders.fieldQuery("title", "Acer"));// 查詢過濾器過濾價格在4000-5000內 這里范圍為[4000,5000]區間閉包含,搜索結果包含價格為4000和價格為5000的數據searchRequestBuilder.setFilter(FilterBuilders.rangeFilter("price").from(4000).to(5000));// 分頁應用searchRequestBuilder.setFrom(0).setSize(60);// 設置是否按查詢匹配度排序searchRequestBuilder.setExplain(true);//設置高亮顯示searchRequestBuilder.addHighlightedField("title");searchRequestBuilder.setHighlighterPreTags("<span style=\"color:red\">");searchRequestBuilder.setHighlighterPostTags("</span>");// 執行搜索,返回搜索響應信息SearchResponse response = searchRequestBuilder.execute().actionGet();//獲取搜索的文檔結果SearchHits searchHits = response.getHits();SearchHit[] hits = searchHits.getHits();ObjectMapper mapper = new ObjectMapper();for (int i = 0; i < hits.length; i++) {SearchHit hit = hits[i];//將文檔中的每一個對象轉換json串值String json = hit.getSourceAsString();//將json串值轉換成對應的實體對象Product product = mapper.readValue(json, Product.class); //獲取對應的高亮域Map<String, HighlightField> result = hit.highlightFields(); //從設定的高亮域中取得指定域HighlightField titleField = result.get("title"); //取得定義的高亮標簽Text[] titleTexts = titleField.fragments(); //為title串值增加自定義的高亮標簽String title = ""; for(Text text : titleTexts){ title += text; }//將追加了高亮標簽的串值重新填充到對應的對象product.setTitle(title);//打印高亮標簽追加完成后的實體對象System.out.println(product);}System.out.println("search success ..");}

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程序運行結果:

[id=8,title=宏基<span style="color:red">Acer</span>,description=宏基Acer蜂鳥系列,price=5000.0,onSale=true,type=1,createDate=Mon Sep 30 13:46:41 CST 2013] [id=21,title=宏基<span style="color:red">Acer</span>,description=宏基Acer蜂鳥系列,price=5000.0,onSale=true,type=1,createDate=Mon Sep 30 13:48:17 CST 2013] [id=7,title=宏基<span style="color:red">Acer</span>,description=宏基Acer蜂鳥系列,price=5000.0,onSale=true,type=1,createDate=Mon Sep 30 11:38:50 CST 2013] [id=5,title=宏基<span style="color:red">Acer</span>樂0,description=<null>,price=4000.0,onSale=true,type=1,createDate=Mon Sep 30 16:35:23 CST 2013] [id=12,title=宏基<span style="color:red">Acer</span>樂1,description=<null>,price=4003.0,onSale=false,type=2,createDate=Mon Sep 30 16:35:23 CST 2013] [id=19,title=宏基<span style="color:red">Acer</span>樂2,description=<null>,price=4006.0,onSale=false,type=1,createDate=Mon Sep 30 16:35:23 CST 2013] [id=26,title=宏基<span style="color:red">Acer</span>樂3,description=<null>,price=4009.0,onSale=true,type=2,createDate=Mon Sep 30 16:35:23 CST 2013] [id=33,title=宏基<span style="color:red">Acer</span>樂4,description=<null>,price=4012.0,onSale=false,type=1,createDate=Mon Sep 30 16:35:23 CST 2013]

從程序執行結果中我們可以看到,我們定義的高亮標簽已經追加到指定的域上了.

當搜索索引的時候,你搜索關鍵字包含了特殊字符,那么程序就會報錯

// fieldQuery 這個必須是你的索引字段哦,不然查不到數據,這里我只設置兩個字段 id ,title String title = "title+-&&||!(){}[]^\"~*?:\\"; title = QueryParser.escape(title);// 主要就是這一句把特殊字符都轉義,那么lucene就可以識別 searchRequestBuilder.setQuery(QueryBuilders.fieldQuery("title", title));

轉載請注明出處:[http://www.cnblogs.com/dennisit/p/3363851.html]

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轉載于:https://www.cnblogs.com/softidea/p/6119329.html

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