- 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 products
POST /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 testscore
PUT 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":"you"
"content": "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 testscore
POST tmdb/_search
{
"_source": ["title","overview"],
"query": {
"more_like_this": {
"fields": [
"title^10","overview"
],
"like": [{"_id":"14191"}],
"min_term_freq": 1,
"max_query_terms": 12
}
}
}