全量查询

• key: sourceBuilder.query(QueryBuilders.matchAllQuery());

// 创建搜索请求对象
SearchRequest request = new SearchRequest();
request.indices("user");
// 构建查询的请求体
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
// 查询所有数据
sourceBuilder.query(QueryBuilders.matchAllQuery());
request.source(sourceBuilder);
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
// 查询匹配
SearchHits hits = response.getHits();
System.out.println("took:" + response.getTook());
System.out.println("timeout:" + response.isTimedOut());
System.out.println("total:" + hits.getTotalHits());
System.out.println("MaxScore:" + hits.getMaxScore());
System.out.println("hits========>>");
for (SearchHit hit : hits) {
//输出每条查询的结果信息
System.out.println(hit.getSourceAsString());
}
System.out.println("<<========");

条件查询

其他同上
sourceBuilder.query(QueryBuilders.termQuery("age", "30"));

分页查询

// 构建查询的请求体
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.query(QueryBuilders.matchAllQuery());
// 分页查询
// 当前页其实索引(第一条数据的顺序号)， from
sourceBuilder.from(0);
// 每页显示多少条 size
sourceBuilder.size(2);
request.source(sourceBuilder);

查询排序

sourceBuilder.sort("age", SortOrder.ASC);

过滤字段

String[] excludes = {"age"};
String[] includes ={};
builder.fetchSource(includes,excludes);

组合条件查询

SearchRequest request = new SearchRequest();
request.indices("user");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
// 必须包含
boolQueryBuilder.must(QueryBuilders.matchQuery("age", "30"));
// 一定不含
boolQueryBuilder.mustNot(QueryBuilders.matchQuery("name", "zhangsan"));
// 可能包含
boolQueryBuilder.should(QueryBuilders.matchQuery("sex", "男"));
boolQueryBuilder.should(QueryBuilders.matchQuery("sex", "女"));
sourceBuilder.query(boolQueryBuilder);
request.source(sourceBuilder);

范围查询

SearchRequest request = new SearchRequest();
request.indices("user");
// 构建查询的请求体
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("age");
// 大于等于
//rangeQuery.gte("30");
// 小于等于
rangeQuery.lte("40");
sourceBuilder.query(rangeQuery);
request.source(sourceBuilder);

模糊查询

SearchRequest request = new SearchRequest();
request.indices("user");
// 构建查询的请求体
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.query(QueryBuilders.fuzzyQuery("name","wangwu").fuzziness(Fuzziness.ONE)); //允许相差不大于1个字符
request.source(sourceBuilder);

高亮查询

 SearchRequest request = new SearchRequest().indices("user");
//2.创建查询请求体构建器
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//构建查询方式：高亮查询
TermsQueryBuilder termsQueryBuilder =
QueryBuilders.termsQuery("name","zhangsan");
//设置查询方式
sourceBuilder.query(termsQueryBuilder);
//构建高亮字段
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.preTags("<font color='red'>");//设置标签前缀
highlightBuilder.postTags("</font>");//设置标签后缀
highlightBuilder.field("name");//设置高亮字段
//设置高亮构建对象
sourceBuilder.highlighter(highlightBuilder);
//设置请求体
request.source(sourceBuilder);

查询结果

hits::::>>
{"name":"zhangsan","age":"10","sex":"女"}
{name=[name], fragments[[<font color='red'>zhangsan</font>]]}
<<::::

聚合查询

SearchRequest request = new SearchRequest().indices("user");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.aggregation(AggregationBuilders.max("maxAge").field("age"));
//设置请求体
request.source(sourceBuilder);

分组查询

SearchRequest request = new SearchRequest().indices("user");
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.aggregation(AggregationBuilders.terms("age_groupby").field("age"));
//设置请求体
request.source(sourceBuilder);

最后

以上就是朴素小霸王为你收集整理的elasticsearch教程3之高级查询全量查询条件查询分页查询查询排序过滤字段组合条件查询范围查询模糊查询高亮查询聚合查询分组查询的全部内容，希望文章能够帮你解决elasticsearch教程3之高级查询全量查询条件查询分页查询查询排序过滤字段组合条件查询范围查询模糊查询高亮查询聚合查询分组查询所遇到的程序开发问题。

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