全文检索 — ElasticSearch_06（查询所有、分页查询、TermQuery、MatchQuery、MultuQuery、BoolQuery、Filter过滤器、sort排序、高亮）

Author： ruki_in_HDU
发布时间：February 22, 2020
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Categories： Tech 学成在线开发日志

1 查询所有文档

1.1 http请求

1.1.1 查询所有索引库的文档url

post http://localhost:9200/_search

1.1.2 查询指定索引库指定类型下的文档url

post http://localhost:9200/xc_course/doc/_search

1.1.3 请求体json

{
    "query": {
        "match_all": {}
    },
    "_source" : ["name","studymodel"]
}

1.1.4 结果说明

took：本次操作花费的时间，单位为毫秒。
timed_out：请求是否超时
_shards：说明本次操作共搜索了哪些分片
hits：搜索命中的记录
hits.total ：符合条件的文档总数

hits.hits ：匹配度较高的前N个文档
hits.max_score：文档匹配得分，这里为最高分
_score：每个文档都有一个匹配度得分，按照降序排列。
_source：显示了文档的原始内容。

1.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;

    //搜索全部记录
    @Test
    public void testSearchAll() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //搜索方式——搜索全部
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

2 分页查询

2.1 http请求

2.1.1 url

post http://localhost:9200/xc_course/doc/_search

2.1.2 请求体json

{
    "from" : 0, "size" : 1,
    "query": {
        "match_all": {}
    },
    "_source" : ["name","studymodel"]
}

from：表示起始文档的下标，从0开始。
size：查询的文档数量。

2.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;
    
    //搜索分页查询
    @Test
    public void testSearchPage() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //搜索方式——搜索全部
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});
        int page = 1;
        int size = 1;
        //计算记录起始下标
        int from = (page - 1) * size;
        searchSourceBuilder.from(from);
        searchSourceBuilder.size(size);

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档 不是总记录数
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

3 TermQuery(不分词)

精确查询，在搜索时会整体匹配关键字，不再将关键字分词。

3.1 http请求

3.1.1 url

post http://localhost:9200/xc_course/doc/_search

3.1.2 请求体json

{
    "query": {
        "term" : {
            "name": "spring"
        }
    },
    "_source" : ["name","studymodel"]
}

上边的搜索会查询name包括“spring”这个词的文档

3.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;
    
    //精确查询 不分词
    @Test
    public void testTermQuery() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //搜索方式——搜索全部
        searchSourceBuilder.query(QueryBuilders.termQuery("name", "spring"));
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});
        int page = 1;
        int size = 1;
        //计算记录起始下标
        int from = (page - 1) * size;
        searchSourceBuilder.from(from);
        searchSourceBuilder.size(size);

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档 不是总记录数
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

4 根据id精确匹配

4.1 http请求

4.1.1 url

post： http://127.0.0.1:9200/xc_course/doc/_search

4.1.2 请求体json

{
    "query": {
        "ids" : {
            "type" : "doc",
            "values" : ["3", "4", "100"]
        }
    }
}

4.2 javaAPI

String[] split = new String[]{"1","2"};
List<String> idList = Arrays.asList(split);
searchSourceBuilder.query(QueryBuilders.termsQuery("_id", idList));

//或如下
String[] ids = new String[]{"1", "2"};
searchSourceBuilder.query(QueryBuilders.termsQuery("_id", ids));

5 matchQuery(分词)

match Query即全文检索，它的搜索方式是先将搜索字符串分词，再使用各各词条从索引中搜索。
match query与Term query区别是match query在搜索前先将搜索关键字分词，再拿各各词语去索引中搜索。

5.1 http请求

5.1.1 url

post http://localhost:9200/xc_course/doc/_search

5.1.2 请求体json

{
    "query": {
        "match" : {
            "description" : {
                "query" : "spring开发",
                "operator" : "or"
            }
        }
    }
}

query：搜索的关键字，对于英文关键字如果有多个单词则中间要用半角逗号分隔，而对于中文关键字中间可以用逗号分隔也可以不用。
operator：
- or 表示只要有一个词在文档中出现则就符合条件，
- and表示每个词都在文档中出现则才符合条件。
上边的搜索的执行过程是：
- 将“spring开发”分词，分为spring、开发两个词
- 再使用spring和开发两个词去匹配索引中搜索。
- 由于设置了operator为or，只要有一个词匹配成功则就返回该文档。

{
    "query": {
        "match" : {
            "description" : {
                "query" : "spring开发框架",
                "minimum_should_match": "80%"
            }
        }
    }
}

“spring开发框架”会被分为三个词：spring、开发、框架
设置"minimum_should_match": "80%"表示，三个词在文档的匹配占比为80%，即3*0.8=2.4，向上取整得2，表示至少有两个词在文档中要匹配成功。

5.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;

    //分词 MatchQuery
    @Test
    public void testMatchQuery() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        //搜索方式
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        //搜索方式——matchQuery
        searchSourceBuilder.query(QueryBuilders.matchQuery("description", "spring开发框架").operator(Operator.OR).minimumShouldMatch("70%"));//设置匹配占比
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});
//        int page = 1;
//        int size = 1;
//        //计算记录起始下标
//        int from = (page - 1) * size;
//        searchSourceBuilder.from(from);
//        searchSourceBuilder.size(size);

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档 不是总记录数
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

6 multiQuery

上边学习的termQuery和matchQuery一次只能匹配一个Field，multiQuery一次可以匹配多个字段。
单项匹配是在一个field中去匹配，多项匹配是拿关键字去多个Field中匹配。

6.1 http请求

6.1.1 url

post http://localhost:9200/xc_course/doc/_search

6.1.2 请求体json

{
    "query": {
        "multi_match" : {
            "query" : "spring css",
            "minimum_should_match": "50%",
            "fields": [ "name", "description" ]
        }
    }
}

"fields": [ "name", "description" ]表示分词的关键字要再name和description中进行匹配

{
    "query": {
        "multi_match" : {
            "query" : "spring框架",
            "minimum_should_match": "50%",
            "fields": [ "name^10", "description" ]
        }
    }
}

"name^10"：表示权重boost提升10倍，执行上边的查询，发现name中包括spring关键字的文档排在前边。通常关键字匹配上name的权重要比匹配上description的权重高，这里可以对name的权重提升

6.2 javaAPI

//搜索方式——matchQuery
searchSourceBuilder.query(QueryBuilders.multiMatchQuery("spring css", "name", "description")
      .minimumShouldMatch("50%")
      .field("name", 10));//提高10倍权重

7 boolQuery 布尔查询

布尔查询对应于Lucene的BooleanQuery查询，实现将多个查询组合起来。三个参数：
- must：文档必须匹配must所包括的查询条件，相当于 “AND”
- should：文档应该匹配should所包括的查询条件其中的一个或多个，相当于 "OR"
- must_not：文档不能匹配must_not所包括的该查询条件，相当于“NOT”

7.1 http请求

7.1.1 url

POST http://localhost:9200/xc_course/doc/_search

7.1.2 请求体json

{
    "_source": ["name", "studymodel", "description"],
    "from": 0,
    "size": 1,
    "query": {
        "bool": {
            "must": [{
                    "multi_match": {
                        "query": "spring框架",
                        "minimum_should_match": "50%",
                        "fields": ["name^10", "description"]
                    }
                },
                {
                    "term": {
                        "studymodel": "201001"
                    }
                }
            ]
        }
    }
}

must：表示必须，多个查询条件必须都满足。（通常使用must）
should：表示或者，多个查询条件只要有一个满足即可。
must_not：表示非。

7.2 javaAPI

//布尔查询 boolMatchQuery
@Test
public void testBoolQuery() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery

    //multiQuery
    MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
        .minimumShouldMatch("50%")
        .field("name", 10);
    //termQuery
    TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("studymodel", "201001");

    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    boolQueryBuilder.must(multiMatchQueryBuilder).must(termQueryBuilder);

    searchSourceBuilder.query(boolQueryBuilder);
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});


    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
    SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
    for (SearchHit hit : searchHits) {
        //文档主键
        String id = hit.getId();
        //原文档内同
        Map<String, Object> sourceAsMap = hit.getSourceAsMap();
        String name = (String) sourceAsMap.get("name");
        //由于前边设置了源文档的过滤，这时description是取不到的
        String description = (String) sourceAsMap.get("description");
        //学习模式
        String studymodel = (String) sourceAsMap.get("studymodel");
        //价格
        Double price = (Double) sourceAsMap.get("price");
        //时间
        Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
    }
}

8 Filter 过滤器

过虑是针对搜索的结果进行过虑，过虑器主要判断的是文档是否匹配，不去计算和判断文档的匹配度得分，所以过虑器性能比查询要高，且方便缓存，推荐尽量使用过虑器去实现查询或者过虑器和查询共同使用。
过虑器在布尔查询中使用，在搜索结果的基础上进行过滤

8.1 http请求

8.1.1 url

POST http://localhost:9200/xc_course/doc/_search

8.1.2 请求体json

{
    "_source": ["name", "studymodel", "description", "price"],
    "query": {
        "bool": {
            "must": [{
                "multi_match": {
                    "query": "spring框架",
                    "minimum_should_match": "50%",
                    "fields": ["name^10", "description"]
                }
            }],
            "filter": [{
                    "term": {
                        "studymodel": "201001"
                    }
                },
                {
                    "range": {
                        "price": {
                            "gte": 60,
                            "lte": 100
                        }
                    }
                }
            ]
        }
    }
}

range：范围过滤，保留大于等于60 并且小于等于100的记录。
term：项匹配过滤，保留studymodel等于"201001"的记录。
注意：range和term一次只能对一个Field设置范围过滤。

8.2 javaAPI

//过滤器 Filter
@Test
public void testFilter() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery

    //multiQuery
    MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
        .minimumShouldMatch("50%")
        .field("name", 10);

    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    boolQueryBuilder.must(multiMatchQueryBuilder);

    //定义过滤器
    boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel", "201001"));
    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(90).lte(100));

    searchSourceBuilder.query(boolQueryBuilder);
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});


    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
}

9 sort 排序

可以在字段上添加一个或多个排序，支持在keyword、date、float等类型上添加，text类型的字段上不允许添加排序。

9.1 http请求

9.1.1 url

POST http://localhost:9200/xc_course/doc/_search

9.1.2 请求体json

{
    "_source": ["name", "studymodel", "description", "price"],
    "query": {
        "bool": {
            "filter": [{
                "range": {
                    "price": {
                        "gte": 0,
                        "lte": 100
                    }
                }
            }]
        }
    },
    "sort": [{
            "studymodel": "desc"
        },
        {
            "price": "asc"
        }
    ]
}

9.2 javaAPI

//排序 sort
@Test
public void testSort() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery
    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    //定义过滤器
    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));
    //装载boolQuery
    searchSourceBuilder.query(boolQueryBuilder);
    
    //添加排序
    searchSourceBuilder.sort("studymodel", SortOrder.DESC);
    searchSourceBuilder.sort("price", SortOrder.ASC);
    
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});

    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
}

10 highlight 高亮显示

高亮显示可以将搜索结果一个或多个字突出显示，以便向用户展示匹配关键字的位置。

10.1 http请求

10.1.1 url

Post： http://127.0.0.1:9200/xc_course/doc/_search

10.1.2 请求体json

{
    "_source": ["name", "studymodel", "description", "price"],
    "query": {
        "bool": {
            "must": [{
                "multi_match": {
                    "query": "开发框架",
                    "minimum_should_match": "50%",
                    "fields": ["name^10", "description"],
                    "type": "best_fields"
                }
            }],
            "filter": [{
                "range": {
                    "price": {
                        "gte": 0,
                        "lte": 100
                    }
                }
            }]
        }
    },
    "sort": [{
        "price": "asc"
    }],
    "highlight": {
        "pre_tags": ["<tag1>"],
        "post_tags": ["</tag2>"],
        "fields": {
            "name": {},
            "description": {}
        }
    }
}

10.2 javaAPI

//高亮 highlight
@Test
public void testHighlight() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery
    //multiQuery
    MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("开发框架", "name", "description")
        .minimumShouldMatch("50%")
        .field("name", 10);
    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    boolQueryBuilder.must(multiMatchQueryBuilder);
    //定义过滤器
    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));

    //定义高亮
    HighlightBuilder highlightBuilder = new HighlightBuilder();
    highlightBuilder.preTags("<tag>");
    highlightBuilder.postTags("</tag>");
    highlightBuilder.fields().add(new HighlightBuilder.Field("name"));
    //        highlightBuilder.fields().add(new HighlightBuilder.Field("description"));
    searchSourceBuilder.highlighter(highlightBuilder);

    //向搜索请求对象中设置搜索源
    searchSourceBuilder.query(boolQueryBuilder);
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});

    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
    SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
    for (SearchHit hit : searchHits) {
        //文档主键
        String id = hit.getId();
        //原文档内同
        Map<String, Object> sourceAsMap = hit.getSourceAsMap();
        //源文档的name字段内容
        String name = (String) sourceAsMap.get("name");
        
        //高亮后的name字段内容
        Map<String, HighlightField> highlightFields = hit.getHighlightFields();
        if (highlightFields != null) {
            //取出name高亮字段
            HighlightField nameHighlight = highlightFields.get("name");
            if (nameHighlight != null) {
                Text[] fragments = nameHighlight.getFragments();
                StringBuffer sb = new StringBuffer();
                for (Text text : fragments) {
                    sb.append(text);
                }
                name = sb.toString();
            }
        }
        System.out.println(name);
        
        //由于前边设置了源文档的过滤，这时description是取不到的
        String description = (String) sourceAsMap.get("description");
        //学习模式
        String studymodel = (String) sourceAsMap.get("studymodel");
        //价格
        Double price = (Double) sourceAsMap.get("price");
        //时间
        Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
    }
}

Last modification：February 22nd, 2020 at 07:05 pm

全文检索 — ElasticSearch_06（查询所有、分页查询、TermQuery、MatchQuery、MultuQuery、BoolQuery、Filter过滤器、sort排序、高亮）

ruki_in_HDU • 2020 年 02 月 22 日

1 查询所有文档

1.1 http请求

1.1.1 查询所有索引库的文档url

post http://localhost:9200/_search

1.1.2 查询指定索引库指定类型下的文档url

post http://localhost:9200/xc_course/doc/_search

1.1.3 请求体json

{
    "query": {
        "match_all": {}
    },
    "_source" : ["name","studymodel"]
}

1.1.4 结果说明

1.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;

    //搜索全部记录
    @Test
    public void testSearchAll() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //搜索方式——搜索全部
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

2 分页查询

2.1 http请求

2.1.1 url

post http://localhost:9200/xc_course/doc/_search

2.1.2 请求体json

{
    "from" : 0, "size" : 1,
    "query": {
        "match_all": {}
    },
    "_source" : ["name","studymodel"]
}

from：表示起始文档的下标，从0开始。
size：查询的文档数量。

2.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;
    
    //搜索分页查询
    @Test
    public void testSearchPage() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //搜索方式——搜索全部
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});
        int page = 1;
        int size = 1;
        //计算记录起始下标
        int from = (page - 1) * size;
        searchSourceBuilder.from(from);
        searchSourceBuilder.size(size);

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档 不是总记录数
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

3 TermQuery(不分词)

精确查询，在搜索时会整体匹配关键字，不再将关键字分词。

3.1 http请求

3.1.1 url

post http://localhost:9200/xc_course/doc/_search

3.1.2 请求体json

{
    "query": {
        "term" : {
            "name": "spring"
        }
    },
    "_source" : ["name","studymodel"]
}

上边的搜索会查询name包括“spring”这个词的文档

3.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;
    
    //精确查询 不分词
    @Test
    public void testTermQuery() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //搜索方式——搜索全部
        searchSourceBuilder.query(QueryBuilders.termQuery("name", "spring"));
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});
        int page = 1;
        int size = 1;
        //计算记录起始下标
        int from = (page - 1) * size;
        searchSourceBuilder.from(from);
        searchSourceBuilder.size(size);

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档 不是总记录数
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

4 根据id精确匹配

4.1 http请求

4.1.1 url

post： http://127.0.0.1:9200/xc_course/doc/_search

4.1.2 请求体json

{
    "query": {
        "ids" : {
            "type" : "doc",
            "values" : ["3", "4", "100"]
        }
    }
}

4.2 javaAPI

String[] split = new String[]{"1","2"};
List<String> idList = Arrays.asList(split);
searchSourceBuilder.query(QueryBuilders.termsQuery("_id", idList));

//或如下
String[] ids = new String[]{"1", "2"};
searchSourceBuilder.query(QueryBuilders.termsQuery("_id", ids));

5 matchQuery(分词)

match Query即全文检索，它的搜索方式是先将搜索字符串分词，再使用各各词条从索引中搜索。
match query与Term query区别是match query在搜索前先将搜索关键字分词，再拿各各词语去索引中搜索。

5.1 http请求

5.1.1 url

post http://localhost:9200/xc_course/doc/_search

5.1.2 请求体json

{
    "query": {
        "match" : {
            "description" : {
                "query" : "spring开发",
                "operator" : "or"
            }
        }
    }
}

query：搜索的关键字，对于英文关键字如果有多个单词则中间要用半角逗号分隔，而对于中文关键字中间可以用逗号分隔也可以不用。
operator：
- or 表示只要有一个词在文档中出现则就符合条件，
- and表示每个词都在文档中出现则才符合条件。
上边的搜索的执行过程是：
- 将“spring开发”分词，分为spring、开发两个词
- 再使用spring和开发两个词去匹配索引中搜索。
- 由于设置了operator为or，只要有一个词匹配成功则就返回该文档。

{
    "query": {
        "match" : {
            "description" : {
                "query" : "spring开发框架",
                "minimum_should_match": "80%"
            }
        }
    }
}

“spring开发框架”会被分为三个词：spring、开发、框架
设置"minimum_should_match": "80%"表示，三个词在文档的匹配占比为80%，即3*0.8=2.4，向上取整得2，表示至少有两个词在文档中要匹配成功。

5.2 javaAPI

@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private RestClient restClient;

    //分词 MatchQuery
    @Test
    public void testMatchQuery() throws IOException, ParseException {
        //搜索请求对象
        SearchRequest searchRequest = new SearchRequest("xc_course");
        //设置类型
        searchRequest.types("doc");
        //搜索源构建对象
        //搜索方式
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        //搜索方式——matchQuery
        searchSourceBuilder.query(QueryBuilders.matchQuery("description", "spring开发框架").operator(Operator.OR).minimumShouldMatch("70%"));//设置匹配占比
        //source源字段过滤
        searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});
//        int page = 1;
//        int size = 1;
//        //计算记录起始下标
//        int from = (page - 1) * size;
//        searchSourceBuilder.from(from);
//        searchSourceBuilder.size(size);

        //设置搜索源 装载搜索条件
        searchRequest.source(searchSourceBuilder);
        //执行搜索
        SearchResponse searchResponse = client.search(searchRequest);
        //搜索匹配结果
        SearchHits hits = searchResponse.getHits();
        //搜索总记录数
        long totalHits = hits.totalHits;
        //匹配度较高的前N个文档 不是总记录数
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {
            //文档主键
            String id = hit.getId();
            //原文档内同
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            //由于前边设置了源文档的过滤，这时description是取不到的
            String description = (String) sourceAsMap.get("description");
            //学习模式
            String studymodel = (String) sourceAsMap.get("studymodel");
            //价格
            Double price = (Double) sourceAsMap.get("price");
            //时间
            Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
        }
    }
}

6 multiQuery

上边学习的termQuery和matchQuery一次只能匹配一个Field，multiQuery一次可以匹配多个字段。
单项匹配是在一个field中去匹配，多项匹配是拿关键字去多个Field中匹配。

6.1 http请求

6.1.1 url

post http://localhost:9200/xc_course/doc/_search

6.1.2 请求体json

{
    "query": {
        "multi_match" : {
            "query" : "spring css",
            "minimum_should_match": "50%",
            "fields": [ "name", "description" ]
        }
    }
}

"fields": [ "name", "description" ]表示分词的关键字要再name和description中进行匹配

{
    "query": {
        "multi_match" : {
            "query" : "spring框架",
            "minimum_should_match": "50%",
            "fields": [ "name^10", "description" ]
        }
    }
}

"name^10"：表示权重boost提升10倍，执行上边的查询，发现name中包括spring关键字的文档排在前边。通常关键字匹配上name的权重要比匹配上description的权重高，这里可以对name的权重提升

6.2 javaAPI

//搜索方式——matchQuery
searchSourceBuilder.query(QueryBuilders.multiMatchQuery("spring css", "name", "description")
      .minimumShouldMatch("50%")
      .field("name", 10));//提高10倍权重

7 boolQuery 布尔查询

布尔查询对应于Lucene的BooleanQuery查询，实现将多个查询组合起来。三个参数：
- must：文档必须匹配must所包括的查询条件，相当于 “AND”
- should：文档应该匹配should所包括的查询条件其中的一个或多个，相当于 "OR"
- must_not：文档不能匹配must_not所包括的该查询条件，相当于“NOT”

7.1 http请求

7.1.1 url

POST http://localhost:9200/xc_course/doc/_search

7.1.2 请求体json

{
    "_source": ["name", "studymodel", "description"],
    "from": 0,
    "size": 1,
    "query": {
        "bool": {
            "must": [{
                    "multi_match": {
                        "query": "spring框架",
                        "minimum_should_match": "50%",
                        "fields": ["name^10", "description"]
                    }
                },
                {
                    "term": {
                        "studymodel": "201001"
                    }
                }
            ]
        }
    }
}

must：表示必须，多个查询条件必须都满足。（通常使用must）
should：表示或者，多个查询条件只要有一个满足即可。
must_not：表示非。

7.2 javaAPI

//布尔查询 boolMatchQuery
@Test
public void testBoolQuery() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery

    //multiQuery
    MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
        .minimumShouldMatch("50%")
        .field("name", 10);
    //termQuery
    TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("studymodel", "201001");

    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    boolQueryBuilder.must(multiMatchQueryBuilder).must(termQueryBuilder);

    searchSourceBuilder.query(boolQueryBuilder);
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});


    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
    SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
    for (SearchHit hit : searchHits) {
        //文档主键
        String id = hit.getId();
        //原文档内同
        Map<String, Object> sourceAsMap = hit.getSourceAsMap();
        String name = (String) sourceAsMap.get("name");
        //由于前边设置了源文档的过滤，这时description是取不到的
        String description = (String) sourceAsMap.get("description");
        //学习模式
        String studymodel = (String) sourceAsMap.get("studymodel");
        //价格
        Double price = (Double) sourceAsMap.get("price");
        //时间
        Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
    }
}

8 Filter 过滤器

过虑是针对搜索的结果进行过虑，过虑器主要判断的是文档是否匹配，不去计算和判断文档的匹配度得分，所以过虑器性能比查询要高，且方便缓存，推荐尽量使用过虑器去实现查询或者过虑器和查询共同使用。
过虑器在布尔查询中使用，在搜索结果的基础上进行过滤

8.1 http请求

8.1.1 url

POST http://localhost:9200/xc_course/doc/_search

8.1.2 请求体json

{
    "_source": ["name", "studymodel", "description", "price"],
    "query": {
        "bool": {
            "must": [{
                "multi_match": {
                    "query": "spring框架",
                    "minimum_should_match": "50%",
                    "fields": ["name^10", "description"]
                }
            }],
            "filter": [{
                    "term": {
                        "studymodel": "201001"
                    }
                },
                {
                    "range": {
                        "price": {
                            "gte": 60,
                            "lte": 100
                        }
                    }
                }
            ]
        }
    }
}

range：范围过滤，保留大于等于60 并且小于等于100的记录。
term：项匹配过滤，保留studymodel等于"201001"的记录。
注意：range和term一次只能对一个Field设置范围过滤。

8.2 javaAPI

//过滤器 Filter
@Test
public void testFilter() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery

    //multiQuery
    MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
        .minimumShouldMatch("50%")
        .field("name", 10);

    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    boolQueryBuilder.must(multiMatchQueryBuilder);

    //定义过滤器
    boolQueryBuilder.filter(QueryBuilders.termQuery("studymodel", "201001"));
    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(90).lte(100));

    searchSourceBuilder.query(boolQueryBuilder);
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});


    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
}

9 sort 排序

可以在字段上添加一个或多个排序，支持在keyword、date、float等类型上添加，text类型的字段上不允许添加排序。

9.1 http请求

9.1.1 url

POST http://localhost:9200/xc_course/doc/_search

9.1.2 请求体json

{
    "_source": ["name", "studymodel", "description", "price"],
    "query": {
        "bool": {
            "filter": [{
                "range": {
                    "price": {
                        "gte": 0,
                        "lte": 100
                    }
                }
            }]
        }
    },
    "sort": [{
            "studymodel": "desc"
        },
        {
            "price": "asc"
        }
    ]
}

9.2 javaAPI

//排序 sort
@Test
public void testSort() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery
    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    //定义过滤器
    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));
    //装载boolQuery
    searchSourceBuilder.query(boolQueryBuilder);
    
    //添加排序
    searchSourceBuilder.sort("studymodel", SortOrder.DESC);
    searchSourceBuilder.sort("price", SortOrder.ASC);
    
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});

    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
}

10 highlight 高亮显示

高亮显示可以将搜索结果一个或多个字突出显示，以便向用户展示匹配关键字的位置。

10.1 http请求

10.1.1 url

Post： http://127.0.0.1:9200/xc_course/doc/_search

10.1.2 请求体json

{
    "_source": ["name", "studymodel", "description", "price"],
    "query": {
        "bool": {
            "must": [{
                "multi_match": {
                    "query": "开发框架",
                    "minimum_should_match": "50%",
                    "fields": ["name^10", "description"],
                    "type": "best_fields"
                }
            }],
            "filter": [{
                "range": {
                    "price": {
                        "gte": 0,
                        "lte": 100
                    }
                }
            }]
        }
    },
    "sort": [{
        "price": "asc"
    }],
    "highlight": {
        "pre_tags": ["<tag1>"],
        "post_tags": ["</tag2>"],
        "fields": {
            "name": {},
            "description": {}
        }
    }
}

10.2 javaAPI

//高亮 highlight
@Test
public void testHighlight() throws IOException, ParseException {
    //搜索请求对象
    SearchRequest searchRequest = new SearchRequest("xc_course");
    //设置类型
    searchRequest.types("doc");
    //搜索源构建对象
    //搜索方式
    SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

    //搜索方式 boolQuery
    //multiQuery
    MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("开发框架", "name", "description")
        .minimumShouldMatch("50%")
        .field("name", 10);
    //boolQuery
    BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
    boolQueryBuilder.must(multiMatchQueryBuilder);
    //定义过滤器
    boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100));

    //定义高亮
    HighlightBuilder highlightBuilder = new HighlightBuilder();
    highlightBuilder.preTags("<tag>");
    highlightBuilder.postTags("</tag>");
    highlightBuilder.fields().add(new HighlightBuilder.Field("name"));
    //        highlightBuilder.fields().add(new HighlightBuilder.Field("description"));
    searchSourceBuilder.highlighter(highlightBuilder);

    //向搜索请求对象中设置搜索源
    searchSourceBuilder.query(boolQueryBuilder);
    //source源字段过滤
    searchSourceBuilder.fetchSource(new String[] {"name", "studymodel", "price", "timestamp"}, new String[]{});

    //设置搜索源 装载搜索条件
    searchRequest.source(searchSourceBuilder);
    //执行搜索
    SearchResponse searchResponse = client.search(searchRequest);
    //搜索匹配结果
    SearchHits hits = searchResponse.getHits();
    //搜索总记录数
    long totalHits = hits.totalHits;
    //匹配度较高的前N个文档 不是总记录数
    SearchHit[] searchHits = hits.getHits();
    SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
    for (SearchHit hit : searchHits) {
        //文档主键
        String id = hit.getId();
        //原文档内同
        Map<String, Object> sourceAsMap = hit.getSourceAsMap();
        //源文档的name字段内容
        String name = (String) sourceAsMap.get("name");
        
        //高亮后的name字段内容
        Map<String, HighlightField> highlightFields = hit.getHighlightFields();
        if (highlightFields != null) {
            //取出name高亮字段
            HighlightField nameHighlight = highlightFields.get("name");
            if (nameHighlight != null) {
                Text[] fragments = nameHighlight.getFragments();
                StringBuffer sb = new StringBuffer();
                for (Text text : fragments) {
                    sb.append(text);
                }
                name = sb.toString();
            }
        }
        System.out.println(name);
        
        //由于前边设置了源文档的过滤，这时description是取不到的
        String description = (String) sourceAsMap.get("description");
        //学习模式
        String studymodel = (String) sourceAsMap.get("studymodel");
        //价格
        Double price = (Double) sourceAsMap.get("price");
        //时间
        Date date = dateFormat.parse((String) sourceAsMap.get("timestamp"));
    }
}

1 查询所有文档

1.1 http请求

1.1.1 查询所有索引库的文档url

1.1.2 查询指定索引库指定类型下的文档url

1.1.3 请求体json

1.1.4 结果说明

1.2 javaAPI

2 分页查询

2.1 http请求

2.1.1 url

2.1.2 请求体json

2.2 javaAPI

3 TermQuery(不分词)

3.1 http请求

3.1.1 url

3.1.2 请求体json

3.2 javaAPI

4 根据id精确匹配

4.1 http请求

4.1.1 url

4.1.2 请求体json

4.2 javaAPI

5 matchQuery(分词)

5.1 http请求

5.1.1 url

5.1.2 请求体json

5.2 javaAPI

6 multiQuery

6.1 http请求

6.1.1 url

6.1.2 请求体json

6.2 javaAPI

7 boolQuery 布尔查询

7.1 http请求

7.1.1 url

7.1.2 请求体json

7.2 javaAPI

8 Filter 过滤器

8.1 http请求

8.1.1 url

8.1.2 请求体json

8.2 javaAPI

9 sort 排序

9.1 http请求

9.1.1 url

9.1.2 请求体json

9.2 javaAPI

10 highlight 高亮显示

10.1 http请求

10.1.1 url

10.1.2 请求体json

10.2 javaAPI