ElasticSearch之JavaAPI查询索引（9种）

目录

 

查询索引

1、初始化一批数据到索引库中准备查询

2、通过数据id使用prepareGet来查询索引

3、查询索引库当中的所有数据

4、RangeQuery范围值查询

5、termQuery词条查询

6、fuzzyQuery模糊查询

7、wildCardQuery通配符查询

8、boolQuery 多条件组合查询

9、分页查询

10、高亮查询

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查询索引

1、初始化一批数据到索引库中准备查询

（建里索引、添加数据等略）

2、通过数据id使用prepareGet来查询索引

@Test
public void query1() {

//查询索引名称为indexsearch、索引类型是mysearch，id为11的索引
    GetResponse documentFields = client.prepareGet("indexsearch", "mysearch", "11").get();
    String index = documentFields.getIndex();//获取索引名称
    String type = documentFields.getType();//获取索引类型
    String id = documentFields.getId();//获取索引id
    System.out.println(index);
    System.out.println(type);
    System.out.println(id);
    Map source = documentFields.getSource();//获取数据源
    for (String s : source.keySet()) {
        System.out.println(source.get(s));
    }
}

3、查询索引库当中的所有数据

@Test
public void queryAll() {
    SearchResponse searchResponse = client
            .prepareSearch("indexsearch")
            .setTypes("mysearch")
            .setQuery(new MatchAllQueryBuilder())  //设置查询方式
            .get();
    SearchHits searchHits = searchResponse.getHits();
    SearchHit[] hits = searchHits.getHits();
    for (SearchHit hit : hits) {
        String sourceAsString = hit.getSourceAsString();
        System.out.println(sourceAsString);
    }
    client.close();
}

4、RangeQuery范围值查询

/**
 * 查找年龄18到28的人,包含18和28
 */
@Test
public void  rangeQuery(){
    SearchResponse searchResponse = client.prepareSearch("indexsearch")
            .setTypes("mysearch")
            .setQuery(new RangeQueryBuilder("age").gt(17).lt(29))  //按年龄查询，大于17小于29
            .get();
    SearchHits hits = searchResponse.getHits();
    SearchHit[] hits1 = hits.getHits();
    for (SearchHit documentFields : hits1) {
        System.out.println(documentFields.getSourceAsString());
    }
    client.close();
}

5、termQuery词条查询

@Test
public  void termQuery(){
    SearchResponse searchResponse = client.prepareSearch("indexsearch").setTypes("mysearch")
            .setQuery(new TermQueryBuilder("say", "熟悉"))   //按词条查询
            .get();
    SearchHits hits = searchResponse.getHits();
    SearchHit[] hits1 = hits.getHits();
    for (SearchHit documentFields : hits1) {
        System.out.println(documentFields.getSourceAsString());
    }
}

6、fuzzyQuery模糊查询

模糊查询可以自动帮我们纠正写错误的英文单词，最大纠正次数两次。

@Test
public void fuzzyQuery(){
    SearchResponse searchResponse = client.prepareSearch("indexsearch").setTypes("mysearch")
            .setQuery(QueryBuilders.fuzzyQuery("say", "helOL").fuzziness(Fuzziness.TWO))  
            .get();

//QueryBuilders类里包含了各种查询的方法，上面几种查询也可以通过它来实现
    SearchHits hits = searchResponse.getHits();
    SearchHit[] hits1 = hits.getHits();
    for (SearchHit documentFields : hits1) {
        System.out.println(documentFields.getSourceAsString());
    }
    client.close();
}

7、wildCardQuery通配符查询

模糊匹配查询有两种匹配符，分别是" * " 以及 " ? "；

用" * "来匹配任何多个字符，包括空字符串；

用" ? "来匹配任意的单个字符。

@Test
public void wildCardQueryTest(){
    SearchResponse searchResponse = client.prepareSearch("indexsearch").setTypes("mysearch")
            .setQuery(QueryBuilders.wildcardQuery("say", "hel*"))
            .get();
    SearchHits hits = searchResponse.getHits();
    SearchHit[] hits1 = hits.getHits();
    for (SearchHit documentFields : hits1) {
        System.out.println(documentFields.getSourceAsString());
    }
    client.close();
}

8、boolQuery 多条件组合查询

/**
 * 多条件组合查询 boolQuery
 * 查询年龄是18到28范围内且性别是男性的，或者id范围在10到13范围内的
 */
@Test
public void boolQueryTest(){
    RangeQueryBuilder age = QueryBuilders.rangeQuery("age").gt(17).lt(29);
    TermQueryBuilder sex = QueryBuilders.termQuery("sex", "1");
    RangeQueryBuilder id = QueryBuilders.rangeQuery("id").gt("9").lt("15");

    SearchResponse searchResponse = client.prepareSearch("indexsearch").setTypes("mysearch")
            .setQuery(
                    QueryBuilders.boolQuery().should(id)    //should相当于or
                                                               .should(QueryBuilders.boolQuery().must(sex).must(age)))    //must是必须查询
            .get();
    SearchHits hits = searchResponse.getHits();
    SearchHit[] hits1 = hits.getHits();
    for (SearchHit documentFields : hits1) {
        System.out.println(documentFields.getSourceAsString());
    }
    client.close();
}

9、分页查询

@Test
public void getPageIndex(){
    int  pageSize = 5;//页面大小
    int pageNum = 2;//页数
    int startNum = (pageNum-1)*5; //起始页面
    SearchResponse searchResponse = client.prepareSearch("indexsearch")
            .setTypes("mysearch")
            .setQuery(QueryBuilders.matchAllQuery())
            .addSort("id",SortOrder.ASC)   //按id升序查询
            .setFrom(startNum)  //设置起始页码
            .setSize(pageSize) //页码大小
            .get();
    SearchHits hits = searchResponse.getHits();
    SearchHit[] hits1 = hits.getHits();
    for (SearchHit documentFields : hits1) {
        System.out.println(documentFields.getSourceAsString());   //返回json字符串
    }
    client.close();
}

10、高亮查询

在进行关键字搜索时，搜索出的内容中的关键字会显示不同的颜色，称之为高亮查询。

@Test
public  void  highLight(){
    //设置查询高亮字段
    SearchRequestBuilder searchRequestBuilder = client.prepareSearch("indexsearch")
            .setTypes("mysearch")
            .setQuery(QueryBuilders.termQuery("say", "hello"));

    //设置我们字段高亮的前缀与后缀
    HighlightBuilder highlightBuilder = new HighlightBuilder(); //高亮对象（数组）
    highlightBuilder.field("say").preTags("").postTags("");

    //通过高亮来进行我们的数据查询
    SearchResponse searchResponse = searchRequestBuilder.highlighter(highlightBuilder).get();
    SearchHits hits = searchResponse.getHits();
    System.out.println("查询出来一共"+ hits.totalHits+"条数据");
    for (SearchHit hit : hits) {
        //打印没有高亮显示的数据
        System.out.println(hit.getSourceAsString());
        System.out.println("=========================");
        //打印我们经过高亮显示之后的数据
       Text[] says = hit.getHighlightFields().get("say").getFragments();
        for (Text say : says) {
            System.out.println(say);
        }

    }
    client.close();
}