一、query DSL
叶子查询
于特定字段查询特定值。如 match, term 或 range 查询
复合查询
包装其它叶子查询或复合查询。如使用 bool or dis_max 混合多个查询
match_all
GET /_search
{
"query": {
"match_all": {}
}
}
match
POST movies/_search
{
"query": {
"match": {
"title": "last christmas"
}
}
}
POST movies/_search
{
"query": {
"match": {
"title": {
"query": "last christmas",
"operator": "and"
}
}
}
}
match_phrase
POST movies/_search
{
"query": {
"match_phrase": {
"title":{
"query": "one love"
}
}
}
}
POST movies/_search
{
"query": {
"match_phrase": {
"title":{
"query": "one love",
"slop": 1
}
}
}
}
布尔查询
POST _search
{
"query": {
"bool" : {
"must" : {
"term" : { "user" : "kimchy" }
},
"filter": {
"term" : { "tag" : "tech" }
},
"must_not" : {
"range" : {
"age" : { "gte" : 10, "lte" : 20 }
}
},
"should" : [
{ "term" : { "tag" : "wow" } },
{ "term" : { "tag" : "elasticsearch" } }
],
"minimum_should_match" : 1,
"boost" : 1.0
}
}
}
常量查询，等价于只有一个 filter 子句的 bool 查询，所有匹配的得分都为 1.0
GET _search
{
"query": {
"constant_score": {
"filter": {
"term": {
"status": "active"
}
}
}
}
}
命名子句，用于确定哪个子句命中匹配条件
GET /_search
{
"query": {
"bool" : {
"should" : [
{"match" : { "name.first" : {"query" : "shay", "_name" : "first"} }},
{"match" : { "name.last" : {"query" : "banon", "_name" : "last"} }}
],
"filter" : {
"terms" : {
"name.last" : ["banon", "kimchy"],
"_name" : "test"
}
}
}
}
}
最佳字段查询
分离最大化查询（Disjunction Max Query）指的是： 将任何与任一查询匹配的文档作为结果返回，但只将最佳匹配的评分作为查询的评分结果返回，而不是将所有匹配结果的得分相加。
示例：
{
"query": {
"dis_max": {
"queries": [
{ "match": { "title": "Brown fox" }},
{ "match": { "body": "Brown fox" }}
]
}
}
}
返回
{
"hits": [
{
"_id": "2",
"_score": 0.21509302,
"_source": {
"title": "Keeping pets healthy",
"body": "My quick brown fox eats rabbits on a regular basis."
}
},
{
"_id": "1",
"_score": 0.12713557,
"_source": {
"title": "Quick brown rabbits",
"body": "Brown rabbits are commonly seen."
}
}
]
}
二、其它
分页、排序、source 过滤
#分页
POST /kibana_sample_data_ecommerce/_search
{
"from":10,
"size":20,
"query":{
"match_all": {}
}
}
#对日期排序
POST kibana_sample_data_ecommerce/_search
{
"sort":[{"order_date":"desc"}],
"query":{
"match_all": {}
}
}
#source filtering
POST kibana_sample_data_ecommerce/_search
{
"_source":["order_date"],
"query":{
"match_all": {}
}
}
脚本
GET kibana_sample_data_ecommerce/_search
{
"script_fields": {
"new_field": {
"script": {
"lang": "painless",
"source": "doc[‘order_date‘].value+‘hello‘"
}
}
},
"query": {
"match_all": {}
}
}
参考文档
https://www.elastic.co/guide/cn/elasticsearch/guide/current/_best_fields.html
https://www.elastic.co/guide/cn/elasticsearch/guide/current/_tuning_best_fields_queries.html
https://www.elastic.co/guide/en/elasticsearch/reference/7.6/query-dsl-bool-query.html
https://www.elastic.co/guide/en/elasticsearch/reference/7.6/query-dsl-match-query.html
es 基础概念总结 —— Request Body Search
原文：https://www.cnblogs.com/lemos/p/12536480.html