推荐|【ES常用查询】基于ElasticsearchRestTemplate及NativeSearchQuery的查询

包含当前es所有的查询，

需要什么代码直接照搬，改个参数就行！

用的好请务必给我点赞！！！感谢爱你们！！！

（周末更筒）

为啥写这篇文章呢：

大概是因为目前公司用的api跟以前的不太一样，

以前我们是基于高标准客户端直接做的，

但是目前这边同事是基于ElasticsearchRestTemplate跟NativeSearchQuery做的。


 
import lombok.extern.slf4j.Slf4j;
import org.elasticsearch.common.lucene.search.function.CombineFunction;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.MatchAllQueryBuilder;
import org.elasticsearch.index.query.MatchQueryBuilder;
import org.elasticsearch.index.query.MultiMatchQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.elasticsearch.index.query.WildcardQueryBuilder;
import org.elasticsearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.elasticsearch.index.query.functionscore.ScoreFunctionBuilder;
import org.elasticsearch.index.query.functionscore.ScoreFunctionBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.sort.SortBuilder;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.domain.Sort;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.mapping.IndexCoordinates;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
 
import java.util.List;
import java.util.Map;
 
@Slf4j
@RestController
@RequestMapping("/v/k/t/query")
public class EsTestController {
    /**
     * 测试es各种查询方法*
     */
    @Autowired
    ElasticsearchRestTemplate elasticsearchRestTemplate;
 
    //通配符查询
    @PostMapping("/es/wildcard")
    public void wildcard() {
        //*：匹配任意数量的字符（包括零个字符）。 *x*: 对x做前后N位做模糊查询,前后有多少值都可以查到(也可以左模糊或者右模糊)
        //?:用于匹配单个字符.    user?a: user?a   匹配user1a,但不匹配user123a
        //^:必须以某个字符开头，如^user*：必须以user开头
        //$:必须以某个字符结尾，如user$：必须以user结尾
 
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
 
        //wildcardQuery：通配符查询
        WildcardQueryBuilder bsVersion = QueryBuilders.wildcardQuery("bsVersion", "*1*");
        WildcardQueryBuilder bsVersion2 = QueryBuilders.wildcardQuery("type", "*j*");
        boolQueryBuilder.must(bsVersion).should(bsVersion2);
 
        NativeSearchQuery dsl = new NativeSearchQueryBuilder()
    }
 
    //高亮
    //默认情况下：只能对查询字段高亮！！！
    //加了.requireFieldMatch(false) 可以对非查询字段高亮，具体看下文
    @PostMapping("/es/highlight")
    public void highlight() {
 
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
 
        //wildcardQuery：通配符查询
        WildcardQueryBuilder bsVersion = QueryBuilders.wildcardQuery("bsVersion", "*1*");
        WildcardQueryBuilder bsVersion2 = QueryBuilders.wildcardQuery("type", "*j*");
        boolQueryBuilder.must(bsVersion).should(bsVersion2);
 
        NativeSearchQuery dsl = new NativeSearchQueryBuilder()
                .withQuery(boolQueryBuilder)
                .withHighlightFields(
                        //.requireFieldMatch(false) : 加了可以对非查询字段高亮
                        new HighlightBuilder.Field("bsVersion").preTags("").postTags("").requireFieldMatch(false),
                        new HighlightBuilder.Field("provinceNameCn").preTags("").postTags("").requireFieldMatch(false),
                        new HighlightBuilder.Field("isp").preTags("").postTags("").requireFieldMatch(false),
                        new HighlightBuilder.Field("type").preTags("").postTags("").requireFieldMatch(false),
                        new HighlightBuilder.Field("agentId").preTags("").postTags("").requireFieldMatch(false)
                )
                .build();
 
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            // 高亮字段是个大MAP  高亮字段集合 = {bsVersion=[<em>115</em>]}  //K=字段名 V=高亮了的数据集合
            Map<String, List<String>> highlightFields = searchHit.getHighlightFields();
            System.out.println("获取高亮字段集合：bsVersion =  " + highlightFields.get("bsVersion"));
            System.out.println("获取高亮字段集合：provinceNameCn =  " + highlightFields.get("provinceNameCn"));
            System.out.println("获取高亮字段集合：isp =  " + highlightFields.get("isp"));
            System.out.println("获取高亮字段集合：type =  " + highlightFields.get("type"));
            System.out.println("获取高亮字段集合：agentId =  " + highlightFields.get("agentId"));
            List<String> bsVersionResult = highlightFields.get("bsVersion");
            for (String s : bsVersionResult) {
                System.out.println("bsVersion集合每一个值为 = " + s);
            }
 
//            highlightFields.forEach((k, v) -> {
//                //获取高亮字段：k = bsVersion v = [<em>115</em>]
//                System.out.println("获取高亮字段：k = " + k + " v = " + v);
//            });
        }
        log.info("总条数：{}", search.getTotalHits());
        System.out.println("search.getSearchHits().size() = " + search.getSearchHits().size());
    }
 
    //排序
    @PostMapping("/es/sort")
    public void sort() {
        MatchAllQueryBuilder matchAllQuery = QueryBuilders.matchAllQuery();
 
        //备注：这里用的是NativeSearchQueryBuilder：xxxBuilder。最后一定要.build();，不然条件用不了
        NativeSearchQuery dsl = new NativeSearchQueryBuilder()
                .withQuery(matchAllQuery)
                //备注：应该是要keyword，paasword这一类才能排序。我用text类型排序报：非法字段异常
                .withSorts(SortBuilders.fieldSort("appId").order(SortOrder.ASC)) //排序：根据bsVersion升序排序
                .build();
 
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
 
    }
 
    //分页
    @PostMapping("/es/page")
    public void page() {
        Integer page = 1;
        Integer size = 10;
        MatchAllQueryBuilder matchAllQuery = QueryBuilders.matchAllQuery();
        NativeSearchQuery dsl = new NativeSearchQuery(matchAllQuery);
        //分页
        Pageable pageable = PageRequest.of((page - 1) * size, size);
        dsl.setPageable(pageable);
 
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
 
        // 获取当前页数
        log.info("当前页数：{}", page);
 
        // 获取当前页的条数
        int currentSize = search.getSearchHits().size();
        log.info("当前页条数：{}", currentSize);
 
        //数据列表：search.getSearchHits()  for出每一条，然后加到list中
 
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
 
    }
 
 
    //布尔查询
    @PostMapping("/es/boolQueryBuilder")
    public void boolQueryBuilder() {
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        //must 必须满足且参与算分
        boolQueryBuilder.must(QueryBuilders.matchQuery("bsVersion", "114"));
        //mustNot 必须不满足   appID 300-700之间不参与查询（就是直接筛掉了）
        boolQueryBuilder.mustNot(QueryBuilders.rangeQuery("appId").gte("300").lte("700"));
        //filter 必须满足，且不参与算分
//        boolQueryBuilder.filter(QueryBuilders.termQuery("agentId", "298_ead348abbaf30f48"));
        NativeSearchQuery dsl = new NativeSearchQuery(boolQueryBuilder);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
    }
 
 
    //算分函数查询
    @PostMapping("/es/FunctionScoreQueryBuilder")
    public void FunctionScoreQueryBuilder() {
        FunctionScoreQueryBuilder functionScoreQueryBuilder = QueryBuilders.functionScoreQuery(
                //原始查询
                QueryBuilders.matchAllQuery(),
                //算分数组
                new FunctionScoreQueryBuilder.FilterFunctionBuilder[]{
                        //第一个元素
                        new FunctionScoreQueryBuilder.FilterFunctionBuilder(
                                //过滤器
                                QueryBuilders.matchQuery("bsVersion", "114"),
                                //权重
                                ScoreFunctionBuilders.weightFactorFunction(10)
                        ),
                        //第二个元素
                        new FunctionScoreQueryBuilder.FilterFunctionBuilder(
                                //过滤器
                                QueryBuilders.matchQuery("bsVersion", "115"),
                                //权重
                                ScoreFunctionBuilders.weightFactorFunction(10)
                        )
                }).boostMode(CombineFunction.REPLACE);
 
        NativeSearchQuery dsl = new NativeSearchQuery(functionScoreQueryBuilder);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
    }
 
    //范围查询
    @PostMapping("/es/rangeQuery")
    public void rangeQuery() {
        //范围查询 appId字段  >=0   <=200   的数据
        RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("appId").gte("0").lte("200");
        NativeSearchQuery dsl = new NativeSearchQuery(rangeQueryBuilder);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
    }
 
    //精确查询
    @PostMapping("/es/termQuery")
    public void termQuery() {
        //根据isp字段 精确查询 内网IP
        TermsQueryBuilder termsQueryBuilder = QueryBuilders.termsQuery("isp", " 内网IP ");
        NativeSearchQuery dsl = new NativeSearchQuery(termsQueryBuilder);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
    }
 
 
    //多字段查询
    @PostMapping("/es/multiMatchQuery")
    public void multiMatchQuery() {
        //备注：字段必须是text类型，可以分词类型！！！！
        //查找keyword、数值、日期、boolean等会报错！！！
        //如果放入精确类型的字段，会报错！！！！
        MultiMatchQueryBuilder multiMatchQuery = QueryBuilders.multiMatchQuery("114", "bsVersion", "type");//查询114根据"bsVersion","type"
        NativeSearchQuery dsl = new NativeSearchQuery(multiMatchQuery);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
    }
 
    //单字段查询
    @PostMapping("/es/matchQuery")
    public void matchQuery() {
        MatchQueryBuilder matchQuery = QueryBuilders.matchQuery("bsVersion", "114");
        NativeSearchQuery dsl = new NativeSearchQuery(matchQuery);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
            System.out.println("单条文档的id = " + searchHit.getId());
            System.out.println("单条文档的评分 = " + searchHit.getScore());
            System.out.println("单条文档索引名（表名） = " + searchHit.getIndex());//298_ops-web-js_1就是你输入的索引库名
        }
    }
 
    //查询所有
    @PostMapping("/es/matchAllQuery")
    public void matchAllQuery() {
        MatchAllQueryBuilder matchAllQuery = QueryBuilders.matchAllQuery();
        NativeSearchQuery dsl = new NativeSearchQuery(matchAllQuery);
        SearchHits<Map> search = elasticsearchRestTemplate.search(dsl, Map.class, IndexCoordinates.of("298_ops-web-js_1"));
        log.info("总条数：{}", search.getTotalHits());
        log.info("查询原始对象：{}", search.getSearchHits());
        log.info("分数值：{}", search.getMaxScore());
        log.info("有无聚合：{}", search.hasAggregations());
        log.info("返回搜索命中数量的关系，例如精确值、估计值：{}", search.getTotalHitsRelation());
        log.info("判断是否存在搜索命中结果：{}", search.hasSearchHits());
        //原始结果的每一条数据
        for (SearchHit<Map> searchHit : search.getSearchHits()) {
            System.out.println("单条文档 = " + searchHit);
            System.out.println("单条文档的原数据 = " + searchHit.getContent());
        }
    }
 
 
}

————————————————————————————————————

id="article_content" class="article_content clearfix"> id="content_views" class="htmledit_views">

一、TextInput/TextArea

TextInput和TextArea组件通常用于收集用户输入的文本数据。

TextInput组件通常用于单行文本的输入，它允许用户通过一个光标来输入文字，并支持多种样式和布局选项来提高用户体验。例如，在用户输入错误时可以显示错误消息或在用户输入时自动完成文本。

TextArea组件与TextInput类似，但允许用户输入多行文本，它通常具有更大的输入框和滚动条来浏览输入的文本。Textarea组件也支持多种样式和布局选项，例如自动调整输入区域的大小以适应输入的文本，以及支持大于输入区域的文本滚动。

无论是TextInput还是TextArea，它们都使用onChange事件来检测文本输入的变化，并将输入的文本作为属性传递到父组件或应用程序。这些组件也可以在需要时收集其他的表单数据，例如表单提交时需要发送的数据。

1.创建输入框

语法说明：

 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="1">

【ES常用查询】基于ElasticsearchRestTemplate及NativeSearchQuery的查询

一、TextInput/TextArea

1.创建输入框

2.设置输入框类型

3.自定义样式

4.添加事件

5.案例

🚀写在最后

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