es （7.7.1）与springboot整合

使用es的原因

es 基于内存的倒排索引算法，能够快速进行数据的索引

使用场景

1、本人在测试中实现了（vue） 下拉框的高亮显示以及快速查询
2、文本数据的快速索引，主要是文档（诗词内容的查询）
3、诗词中高频字词的汇总查询

pom 文件的引入

    org.springframework.boot
    spring-boot-starter-data-elasticsearch

加粗显示，以及合并（and）查询

@Override
public LayuiResponse query(Integer page, Integer limit, String title, String author, String paragraphs) {

    HighlightBuilder highlightBuilder = new HighlightBuilder();
    highlightBuilder.postTags("");
    highlightBuilder.preTags("");
    highlightBuilder.field("author");
    BoolQueryBuilder query = QueryBuilders.boolQuery();
    PageRequest pageRequest = PageRequest.of(page - 1, limit);
    NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
    nativeSearchQueryBuilder.withPageable(pageRequest);

    if (!StringUtils.isEmpty(title)) {
        //query.must(matchQuery("title", title));
        query.must(termQuery("title", title.trim()));
        //  nativeSearchQueryBuilder.withQuery(matchQuery("title", title));
    }
    if (!StringUtils.isEmpty(author)) {
        query.must(matchQuery("author", author.trim()));
    }
    if (!StringUtils.isEmpty(paragraphs)) {
        query.must(matchQuery("paragraphs", paragraphs.trim()));
    }
    NativeSearchQuery build = nativeSearchQueryBuilder
            //查询中必须要有  nativeSearchQueryBuilder.withQuery(matchQuery("author", author)); 与之相对应才能高亮查询
            .withHighlightBuilder(highlightBuilder)
            .withQuery(query)
            .build();
    SearchHits search = elasticsearchTemplate.search(build, SongDoc.class);
    Stream> searchHitStream = search.get();
    List> collect = searchHitStream.collect(Collectors.toList());
    List list = new ArrayList<>();
    if (!CollectionUtils.isEmpty(collect)) {
        collect.forEach(songDocSearchHit -> {
            Map> highlightFields = songDocSearchHit.getHighlightFields();
            System.out.println("highlightFields:" + highlightFields.size());
            SongDoc content = songDocSearchHit.getContent();
            if (null != highlightFields.get("author")) {
                content.setAuthor(highlightFields.get("author").get(0).toString());
            }
            list.add(content);
        });
    }


    LayuiResponse layuiResponse = new LayuiResponse();
    layuiResponse.setStatus(Status.SUCCESS);
    layuiResponse.setCount((int) search.getTotalHits());
    layuiResponse.setData(list);
    return layuiResponse;
}

高频词查询

@Override
public LayuiResponse songhighfrequencylist(Integer count) {
    PageRequest of = PageRequest.of(1, 1);
    LayuiResponse layuiResponse = new LayuiResponse();
    // FilterAggregationBuilder.
    //Aggregations aggregations=new Aggregations();
    //ValueCountAggregationBuilder result = AggregationBuilders.count("key_word").field("author");
    TermsAggregationBuilder field = AggregationBuilders.terms("group_name_keyword")
            .field("paragraphs")
            // .executionHint("map")
            .size(count);
    //.includeExclude(IncludeExclude.parseInclude()))

    NativeSearchQuery build = new NativeSearchQueryBuilder()
            //.withQuery(matchQuery("author", "宋太宗"))
            .withPageable(of)
            .addAggregation(field).build();
    long beginTime = System.currentTimeMillis();
    //SearchHits search2 = elasticsearchTemplate.search(build, SongDoc.class);
    SearchHits search = elasticsearchTemplate.search(build, SongDoc.class);
    long endTime = System.currentTimeMillis();
    System.out.println("时间（s）" + (endTime - beginTime));
    List seriesDataList = new ArrayList<>();
    List xAxisDataList = new ArrayList<>();
    if (search.hasAggregations()) {
        Aggregations aggregations = search.getAggregations();
        ParsedStringTerms aggregation = (ParsedStringTerms) aggregations.asMap().get("group_name_keyword");
        List buckets = aggregation.getBuckets();
        buckets.forEach(bucket -> {
            seriesDataList.add((int) bucket.getDocCount());
            xAxisDataList.add(bucket.getKey().toString());
            System.out.println(bucket.getKey() + "\t" + bucket.getDocCount());
        });
        aggregation.getMetaData();
        // List buckets = group_name.getBuckets();
        // System.out.println(buckets.size());
        // Map metaData = group_name.getMetaData();
        // System.out.println(metaData);
    }
    EchartsDataVO echartsDataVO = new EchartsDataVO();
    echartsDataVO.setSeriesData(seriesDataList);
    echartsDataVO.setXAxisData(xAxisDataList);
    layuiResponse.setData(echartsDataVO);
    layuiResponse.setCode(20000);
    Stream> searchHitStream = search.get();
    List> collect = searchHitStream.collect(Collectors.toList());
    System.out.println(collect.size());
    return layuiResponse;
}

其它查询

@Override
public LayuiResponse queryByKeywords(String keywords) {
    HighlightBuilder highlightBuilder = new HighlightBuilder();
    highlightBuilder.postTags("");
    highlightBuilder.preTags("");
    highlightBuilder.field("name");
    // NativeSearchQuery query =new NativeSearchQueryBuilder().withQuery(QueryBuilders.termQuery("name", keywords)).withHighlightBuilder(highlightBuilder).build();
    //NativeSearchQuery query = new NativeSearchQueryBuilder().withQuery(QueryBuilders.matchQuery("name", keywords).operator(MatchQueryBuilder.o)).build();
    // NativeSearchQuery query =new NativeSearchQueryBuilder().withQuery(matchQuery("name", keywords)).build();
    NativeSearchQuery query = new NativeSearchQueryBuilder()
            //短语匹配：短语匹配意味着不仅仅是词要匹配，并且词的顺序也要一致
            //.withQuery(matchPhraseQuery("name", keywords))
            //可以指定词之间的逻辑关系 张三 李四 张三and 李四
            //.withQuery(matchQuery("name", keywords).operator(Operator.AND))
            //相关度查询
            // .withQuery(matchQuery("name", keywords).minimumShouldMatch("80%"))
            //设置权重查询
            // .withQuery(matchQuery("name", keywords).boost(10))
            .withQuery(matchQuery("name", keywords))
            .withHighlightBuilder(highlightBuilder).build();

    SearchHits searchResult = elasticsearchRestTemplate.search(query, AuthorSelectDoc.class);
    Stream> searchHitStream = searchResult.get();
    List> collect = searchHitStream.collect(Collectors.toList());
    LayuiResponse layuiResponse = new LayuiResponse();
    layuiResponse.setData(collect);
    return layuiResponse;
}