XC-11es-创新互联

文章目录

• 搜索管理
• • 准备环境
  • • 创建映射
    • 插入原始数据
    • 简单搜索
  • DSL搜索
  • • 查询所有文档
    • • 在java中使用
    • 分页查询
    • • postman分页
      • java分页
    • Term Query
    • 根据id精确匹配
    • match Query
    • multi Query
    • 布尔查询
    • 过滤器
    • 排序
    • 高亮显示
    • • postman:
• 集群管理
• • 集群结构
  • 搭建集群
  • • 集群的健康
    • • green 所有主分片和副分片都正常运行.
      • yellow:所有的主分片正常运行,但是有些副分片不正常
      • red:存在主分片不正常运行

创新互联公司专注于企业营销型网站、网站重做改版、忻城网站定制设计、自适应品牌网站建设、H5高端网站建设、成都做商城网站、集团公司官网建设、外贸网站制作、高端网站制作、响应式网页设计等建站业务，价格优惠性价比高，为忻城等各大城市提供网站开发制作服务。搜索管理 准备环境 创建映射

插入原始数据

插入三条原始数据



具体数据:

创建映射：
post：http://localhost:9200/xc_course/doc/_mapping
{"properties": {"description": {"type": "text",
                        "analyzer": "ik_max_word",
                        "search_analyzer": "ik_smart"
                    },
                    "name": {"type": "text",
                        "analyzer": "ik_max_word",
                        "search_analyzer": "ik_smart"
                    },
					"pic":{"type":"text",
						"index":false
					},
                    "price": {"type": "float"
                    },
                    "studymodel": {"type": "keyword"
                    },
                    "timestamp": {"type": "date",
                        "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
                    }
                }
            }


初始化文档：

http://localhost:9200/xc_course/doc/1
{"name": "Bootstrap开发",
"description": "Bootstrap是由Twitter推出的一个前台页面开发框架，是一个非常流行的开发框架，此框架集成了多种页面效果。此开发框架包含了大量的CSS、JS程序代码，可以帮助开发者（尤其是不擅长页面开发的程序人员）轻松的实现一个不受浏览器限制的精美界面效果。",
"studymodel": "201002",
"price":38.6,
"timestamp":"2018-04-25 19:11:35",
"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"
}
http://localhost:9200/xc_course/doc/2
{"name": "java编程基础",
"description": "java语言是世界第一编程语言，在软件开发领域使用人数最多。",
"studymodel": "201001",
"price":68.6,
"timestamp":"2018-03-25 19:11:35",
"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"
}
http://localhost:9200/xc_course/doc/3
{"name": "spring开发基础",
"description": "spring 在java领域非常流行，java程序员都在用。",
"studymodel": "201001",
"price":88.6,
"timestamp":"2018-02-24 19:11:35",
"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"
}

简单搜索

DSL搜索

DSL(Domain Specific Language)是es提出的专门面向JSon数据的搜索方式,在搜索时通过json格式完成索引.
DSL比Url搜索方式功能强大,在项目中建议使用DSL方式完成搜索.

查询所有文档

postman:

{"query":{"match_all":{}//搜索方法
    },
        "_source":["name","studymodel"]//内容定向
    }

搜索结果:

{"took": 46,
    "timed_out": false,
    "_shards": {"total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {"total": 3,
        "max_score": 1.0,
        "hits": [
            {"_index": "xc_andrew",
                "_type": "doc",
                "_id": "1",
                "_score": 1.0,
                "_source": {"studymodel": "201002",
                    "name": "Bootstrap开发"
                }
            },
            {"_index": "xc_andrew",
                "_type": "doc",
                "_id": "2",
                "_score": 1.0,
                "_source": {"studymodel": "201001",
                    "name": "java编程基础"
                }
            },
            {"_index": "xc_andrew",
                "_type": "doc",
                "_id": "3",
                "_score": 1.0,
                "_source": {"studymodel": "201001",
                    "name": "spring开发基础"
                }
            }
        ]
    }
}
}

结果说明
took:本次操作花费的时间,单位毫秒.
timed_out:请求是否超时
_shards:说明本次操作共搜索了那些内容
	total:集群部署中的分片数量
	
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n个文档
hits.max_score:文档匹配得分,这里为最高分
_score:分割文档都有一个匹配得分,这里按照从高到低
_source:显示文档内容

在java中使用

@Test
    public void testSearch() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
           // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
           // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }

分页查询 postman分页

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

java分页

//分页测试
    @Test
    public void testSearchByPage() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        int page = 1;
        int size = 1;
        int from = (page - 1) * size;
     
        searchSourceBuilder.from(from);
        searchSourceBuilder.size(size);
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }

Term Query

根据任一项查询
postman

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

java

//termQuery
    @Test
    public void testTermQuery() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



        searchSourceBuilder.query(QueryBuilders.termQuery("name","spring"));
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }

根据id精确匹配

postman:

{ 
    "query":{"ids":{  "type":"doc",
      "values":["1","2"]
  }}}
       
   

这里的values注意后面还有一个s
java:

@Test
    public void testQueryById() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

String[] ids = new String[]{"1","2"};

        searchSourceBuilder.query(QueryBuilders.termsQuery("_id",ids));
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }

注意这里的QueryBuilder.termsQuery的方法,而不是termQuery,和根据任意项选择有区别

match Query

搜索的时候分词
postman

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

这里的operator表示or的时候是有一个词就可以搜出
表示and的时候表示只都在的时候才可以搜出

java

//MatchQuery
    @Test
    public void testQueryMatch() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



        searchSourceBuilder.query(QueryBuilders.matchQuery("description","spring开发").operator(Operator.OR));
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }

postman:

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

这里的变量minimum是搜索重复率如果达到总占比的80%,就搜出

multi Query

可以在多个属性中查找,避免如termQuery只能在一个属性中查找的缺点
postman

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

        }
    }
}
   

java:

//Multi_Match
    @Test
    public void testMultiMatch() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



        searchSourceBuilder.query(QueryBuilders.multiMatchQuery("spring css","name","description")
                                                .minimumShouldMatch("50%")
                                                .field("name",10));
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }

postman里的^10代表比重提高10倍,因为标题中的比重大于文章中的比重
而在java中使用field.(name,boot)中的boost表示比重.

布尔查询

布尔查询对应Lucene的BooleanQuery查询,实现将多个查询结合起来

如果要包含以上的多个条件一起查询,应该怎么操作?
就要使用boolean查询了
这样子比较复杂,不过有前面的基础,可以很快掌握,理解
postman:

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

    }
}

java:

//BoolerMatch
    @Test
    public void testBoolerMatch() throws IOException, ParseException {SearchRequest searchRequest  = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("spring css", "name", "description")
                .minimumShouldMatch("50%")
                .field("name", 10);
        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("studymodel", "201001");
BoolQueryBuilder builder = new BoolQueryBuilder();
builder.must(multiMatchQueryBuilder);
builder.must(termQueryBuilder);
        searchSourceBuilder.query(builder);
        searchSourceBuilder.fetchSource(new String[]{"name","studymodel","price","timestamp"},
                new String[]{} );
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");
            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);
        }
    }
}

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。

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，下边是在搜索结果的基础上进行过虑：
postman:

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



    }
   
}

注意,filter和must同级,在must[],后面加filter

Java:

//FilterMatch
    @Test
    public void testFilterMatch() throws IOException, ParseException {SearchRequest searchRequest = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

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

        BoolQueryBuilder builder = new BoolQueryBuilder();
        builder.must(multiMatchQueryBuilder);
        builder.filter(QueryBuilders.termQuery("studymodel", "201001"));
        builder.filter(QueryBuilders.rangeQuery("price").gte(90).lte(100)   );

        searchSourceBuilder.query(builder);
        searchSourceBuilder.fetchSource(new String[]{"name", "studymodel", "price", "timestamp"},
                new String[]{});
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");

            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(price);
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);

        }
    }

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。
发送POSThttp://localhost:9200/xc_course/doc/_search
过虑0–10元价格范围的文档，并且对结果进行排序，先按studymodel降序，再按价格升序

postman:

{"query":{"bool":{ 
             "filter":[

     {"range":{"price":{"gte":0,"lte":100}}}
     
 ]
        }



    },
    "sort":[
        {"studymodel":"DESC",
            "price":"ASC"
        }
    ]

java:

//OrderMatch
    @Test
    public void testOrderMatch() throws IOException, ParseException {SearchRequest searchRequest = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();



        BoolQueryBuilder builder = new BoolQueryBuilder();
        builder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100)   );
        searchSourceBuilder.sort(new FieldSortBuilder("studymodel").order(SortOrder.DESC));
        searchSourceBuilder.sort(new FieldSortBuilder("price").order(SortOrder.ASC));

        searchSourceBuilder.query(builder);
        searchSourceBuilder.fetchSource(new String[]{"name", "studymodel", "price", "timestamp"},
                new String[]{});
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();
            String name = (String) sourceAsMap.get("name");
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");

            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(price);
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);

        }
    }

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。在搜索语句中添加highlight即可实现，如下：
Post：http://127.0.0.1:9200/xc_course/doc/_search

postman:

{"query":{"bool":{ "must":[
                {"multi_match":{"query":"spring 开发",
                        "minimum_should_match":"50%",
                        "fields":["name","description"]
                    }},
                   {"term":{"studymodel":"201001"
                        }
                    }
                
            ],
         
             "filter":[

     {"range":{"price":{"gte":0,"lte":100}}}
     
 ]
        }



    }, 
    "sort":[
        {"studymodel":"DESC",
            "price":"ASC"
        }
    ],
    "highlight":
        {"pre_tags":[""],
            "post_tags":[""],
            "fields":{"name":{},
            "description":{}

            }
        
    
    }
}

java:

//HighLight
    @Test
    public void testHighLight() throws IOException, ParseException {SearchRequest searchRequest = new SearchRequest("xc_andrew");
        searchRequest.types("doc");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();


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

        BoolQueryBuilder builder = new BoolQueryBuilder();
        builder.must(multiMatchQueryBuilder );
        builder.filter(QueryBuilders.rangeQuery("price").gte(0).lte(100)   );

        searchSourceBuilder.query(builder);
        searchSourceBuilder.fetchSource(new String[]{"name", "studymodel", "price", "timestamp"},
                new String[]{});
        HighlightBuilder highlightBuilder = new HighlightBuilder();
        highlightBuilder.preTags("");
        highlightBuilder.postTags("");
        highlightBuilder.fields().add(new HighlightBuilder.Field("name"));

        searchSourceBuilder.highlighter(highlightBuilder);
        searchRequest.source(searchSourceBuilder);
        SearchResponse search = restHighLevelClient.search(searchRequest);
        SearchHits hits = search.getHits();
        long totalHits = hits.totalHits;
        SearchHit[] searchHits = hits.getHits();
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
        for (SearchHit hit : searchHits) {String id = hit.getId();
            MapsourceAsMap = hit.getSourceAsMap();

            String name = (String) sourceAsMap.get("name");
            MaphighlightFields = hit.getHighlightFields();
            if (highlightFields!=null){HighlightField nameField = highlightFields.get("name");
                if (nameField!=null){StringBuffer sb = new StringBuffer();
                    Text[] fragments = nameField.getFragments();
                    for (Text fragment : fragments) {sb.append(fragment.string());
                    }
                    name = sb.toString();
                }
            }
            String description = (String) sourceAsMap.get("description");
            // String studymodel = (String) sourceAsMap.get("studymodel");

            Double price = (Double) sourceAsMap.get("price");

            Date timestamp = simpleDateFormat.parse((String) sourceAsMap.get("timestamp"));
            System.out.println(price);
            System.out.println(name);
            // System.out.println(studymodel);
            System.out.println(timestamp);
            System.out.println(description);

        }
    }

这个高亮设置,一定是要有检索内容才可以添加的,应为高亮添加的就是你的检索内容的词汇

集群管理 集群结构

es通常以集群的方式部署,工作,这样不仅可以提高处理PB及数据的能力,还可以很好的增加系统的容错性和可用性.
ES集群结构图:

每一个es服务器可以看作是一个节点,
而节点有主节点和副节点直接点负责集群管理,
索引可以分布在不同的片上,片也分主片和副片,当主片失效时,可以由副片分担,这样实现了高可用性,和高容错性,使得ES可以成为PB级数据的处理器,一个搜索请求过来时,就会分片取查询,最后将结果返回非用户.
一个及集群中会有多个主节点,主节点管理集群,比如增加节点,移除节点,主节点挂掉之后,ES会重新选择一个节点.
节点转发,每个节点都知道其他节点的信息,我们可以对任意节点发起请求,接受请求的节点会转发给其他节点查询数据.

搭建集群

复制之前的集群节点,然后进入config中修改elasticsearch.yml
将其中的name修改,本身的端口加一,
然后点击bin中的elasticsearch.bat,即可.

我这里部署了三个,分成两篇,由于不同节点之间可以转发,所以在任何一个节点上,都可以看到全部的内容.

集群的健康

通过访问Get /_cluster/health来查看Elasticsearch的集群健康情况
用三种颜色表示健康的状态:green,yellow,red

green 所有主分片和副分片都正常运行.

yellow:所有的主分片正常运行,但是有些副分片不正常

这里是我关掉node_3后的情况.

red:存在主分片不正常运行

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