山东信达建设有限公司网站,快速搭建房屋,seo需要掌握哪些技术,宿州品牌网站建设公司term 查询执行精确值匹配#xff0c;要求文档中的字段值与指定的词项完全相等。对于日期字段等精确值字段#xff0c;通常使用 term 查询可以快速有效地匹配文档。match 查询执行全文搜索#xff0c;会对输入的文本进行分析#xff0c;生成查询词项#xff0c;并试图找到与…term 查询执行精确值匹配要求文档中的字段值与指定的词项完全相等。对于日期字段等精确值字段通常使用 term 查询可以快速有效地匹配文档。match 查询执行全文搜索会对输入的文本进行分析生成查询词项并试图找到与这些词项匹配的文档constant_score查询是一种特殊的查询它会为每个匹配的文档分配一个固定的分数默认为 1.0 DELETE productsPOST /products/_bulk
{ index: { _id: 1 }}
{ price : 10,avaliable:true,date:2023-01-01, productID : XHDK-A-1293-#fJ3 }
{ index: { _id: 2 }}
{ price : 20,avaliable:true,date:2023-01-01, productID : KDKE-B-9947-#kL5 }
{ index: { _id: 3 }}
{ price : 30,avaliable:true, productID : JODL-X-1937-#pV7 }
{ index: { _id: 4 }}
{ price : 30,avaliable:false, productID : QQPX-R-3956-#aD8 }GET products/_mapping# 对布尔值 match 查询有算分
POST products/_search
{profile: true,explain: true,query: {term: {avaliable: true}}
}# 对布尔值通过constant score 转成 filtering没有算分
POST products/_search
{profile: true,explain: true,query: {constant_score: {filter: {term: {avaliable: true}}}}
}# 数字类型 Term
POST products/_search
{profile: true,explain: true,query: {term: {price: 30}}
}# 数字类型 terms
POST products/_search
{query: {constant_score: {filter: {terms: {price: [20,30]}}}}
}# 数字 Range 查询
GET products/_search
{query : {constant_score : {filter : {range : {price : {gte : 20,lte : 30}}}}}
}# 日期 range
POST products/_search
{query : {constant_score : {filter : {range : {date : {gte : now-1y}}}}}
}# exists查询
POST products/_search
{query: {constant_score: {filter: {exists: {field: date}}}}
}# 处理多值字段
POST /movies/_bulk
{ index: { _id: 1 }}
{ title : Father of the Bridge Part II,year:1995, genre:Comedy}
{ index: { _id: 2 }}
{ title : Dave,year:1993,genre:[Comedy,Romance] }# 处理多值字段term 查询是包含而不是等于
POST movies/_search
{query: {constant_score: {filter: {term: {genre.keyword: Comedy}}}}
}# 字符类型 terms
POST products/_search
{query: {constant_score: {filter: {terms: {productID.keyword: [QQPX-R-3956-#aD8,JODL-X-1937-#pV7]}}}}
}POST products/_search
{profile: true,explain: true,query: {match: {price: 30}}
}POST products/_search
{profile: true,explain: true,query: {term: {date: 2019-01-01}}
}POST products/_search
{profile: true,explain: true,query: {match: {date: 2019-01-01}}
}POST products/_search
{profile: true,explain: true,query: {constant_score: {filter: {term: {productID.keyword: XHDK-A-1293-#fJ3}}}}
}POST products/_search
{profile: true,explain: true,query: {term: {productID.keyword: XHDK-A-1293-#fJ3}}
}# 对布尔数值
POST products/_search
{query: {constant_score: {filter: {term: {avaliable: false}}}}
}POST products/_search
{query: {term: {avaliable: {value: false}}}
}POST products/_search
{profile: true,explain: true,query: {term: {price: {value: 20}}}
}POST products/_search
{profile: true,explain: true,query: {match: {price: 20}}
}POST products/_search
{query: {constant_score: {filter: {bool: {must_not: {exists: {field: date}}}}}}
}DELETE products# boosting 查询包含以下关键元素
# positive: 正面条件定义了一个条件这里是 content: elasticsearch 当文档匹配这个条件时会增加文档的相关性得分。
# negative: 负面条件定义了另一个条件这里是 content: like 当文档匹配这个条件时会减少文档的相关性得分。
# negative_boost: 这个参数指定了负面条件对得分的影响程度。在这个示例中 DELETE testscorePUT testscore
{settings: {number_of_shards: 1},mappings: {properties: {content: {type: text}}}
}PUT testscore/_bulk
{ index: { _id: 1 }}
{ content:we use Elasticsearch to power the search }
{ index: { _id: 2 }}
{ content:we like elasticsearch }
{ index: { _id: 3 }}
{ content:The scoring of documents is caculated by the scoring formula }
{ index: { _id: 4 }}
{ content:you know, for search }# the elasticsearch会查出123条数据
# the会查出13数据
POST /testscore/_search
{//explain: true,query: {match: {//content:youcontent: elasticsearch//content:the//content: the elasticsearch}}
}# boosting 查询包含以下关键元素
# positive: 正面条件定义了一个条件这里是 content: elasticsearch
# 当文档匹配这个条件时会增加文档的相关性得分。
# negative: 负面条件定义了另一个条件这里是 content: like
# 当文档匹配这个条件时会减少文档的相关性得分。
# negative_boost: 这个参数指定了负面条件对得分的影响程度。在这个示例中
# 设置为 0.2表示负面条件的匹配与正面条件相比对相关性得分的影响降低了 80%。
POST testscore/_search
{query: {boosting : {positive : {term : {content : elasticsearch}},negative : {term : {content : like}},negative_boost : 0.2}}
}DELETE testscorePOST tmdb/_search
{_source: [title,overview],query: {more_like_this: {fields: [title^10,overview],like: [{_id:14191}],min_term_freq: 1,max_query_terms: 12}}
}
