SearchRequest searchRequest = new SearchRequest("demo_index").source(searchSourceBuilder); SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT); SearchHit[] hits = searchResponse.getHits().getHits(); if (hits.length > 0) { return Arrays.asList(hits); ...
private SearchHits getSearchHits(BoolQueryBuilder queryParam, int from, int size, String orderField) { SearchRequestBuilder searchRequestBuilder = this.prepareSearch(); searchRequestBuilder.setQuery(queryParam).setFrom(from).setSize(size).setExplain(false); if (StringUtils.isNotBlank(orderField)) ...
searchRequest.source(searchSourceBuilder); // 执行查询请求 SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT); // 处理查询结果 SearchHit[] searchHits = searchResponse.getHits().getHits(); BufferedWriter writer = new BufferedWriter(new FileWriter("index1_search.log"));...
SearchRequest searchRequest = new SearchRequest();//indices 无需指定索引名 searchRequest.source(searchSourceBuilder); //4. 获取结果 SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT); Object[] arrays = new Object[1]; System.out.println(search.getHits().getHits...
接着,使用 SearchRequest 和 SearchSourceBuilder 构建了查询请求,并执行了查询请求。最后,将查询结果导出到文件 index1_search.log 中,并关闭了 RestHighLevelClient 对象。 然后我发现数据量太大了,怎么办呢?可以分页解决,就跟谷歌浏览器的搜索分页一样,但是不会写,怎么办?继续扔问题给 GPT。
searchRequest.source(builder);longtotal = 0; SearchResponse searchResponse=restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);if(searchResponse.status().equals(RestStatus.OK)){longtotalHits =searchResponse.getHits().getTotalHits().value;if(totalHits >= 10000){//去es 查询记录总数Count...
if (searchSourceBuilder == null) { return null; } // 创建请求对象 SearchRequest searchRequest = new SearchRequest(indices).source(searchSourceBuilder); Map<String, Object> result = new HashMap<>(); List<Map<String, Object>> data = null; ...
在Java中,使用Elasticsearch(ES)进行分页查询并获取所有数据的常见方式是使用SearchSourceBuilder和SearchRequest来构建查询请求,并通过PageRequest或直接在查询中设置from和size参数来控制分页。由于Elasticsearch原生并不直接支持类似SQL中的LIMIT和OFFSET的PageRequest,我们通常使用from(偏移量)和size(每页大小)参数来实现分页。
def search(request):ifrequest.method =='GET': flag= request.GET.get("flag","aaa")ifflag =="aaa": # 正面请求 obj= models.Article.objects.filter(pk__lte=10)returnrender(request,"index.html", {"all_obj": obj})else: search_msg= request.GET.get("search_msg") ...
在Java中,可以使用Elasticsearch的Java客户端库来实现ES分页查询。下面是一个简单的示例代码: import org.elasticsearch.action.search.SearchRequest; import org.elasticsearch.action.search.SearchResponse; import org.elasticsearch.client.RequestOptions; import org.elasticsearch.client.RestClient; import org....