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es-object vs nested vs has_ child and has_ parent
2022-06-22 01:57:00 【Tong Xiaolv】
1.object type
increase object Index of type
PUT /joining_query_object_test/_doc/1
{
"obj1": {
"name": "blue",
"count": 5
},
"tags": [
" billboard ",
" The golden bull Award "
],
"comments": [
{
"name": " Sima yi ",
"comment": " Wisdom is actually , Fools contend for fame ",
"age": 28,
"stars": 4,
"date": "2022-05-01"
},
{
"name": " Liu Bowen ",
"comment": " Peace is followed by purity , Qing Dynasty and then Ming Dynasty ",
"age": 31,
"stars": 5,
"date": "2022-05-11"
}
],
"group" : "fans",
"user" : [
{
"first" : "John",
"last" : "Smith"
},
{
"first" : "Alice",
"last" : "White"
}
]
}
PUT /joining_query_object_test/_doc/2
{
"obj1": {
"name": "red",
"count": 3
},
"tags": [
"1h Hot stock ",
"24h Hot stock "
],
"comments": [
{
"name": " Liu Ji ",
"comment": " Have wine and enjoy it , Listen to my Xielu song ",
"age": 42,
"stars": 3,
"date": "2022-05-02"
},
{
"name": " Yuan Tiangang ",
"comment": " Xingyiluoshui , Shuai also Luoshui ",
"age": 32,
"stars": 4,
"date": "2022-05-12"
}
],
"group" : "fans",
"user" : [
{
"first" : "xiaoping",
"last" : "liu"
},
{
"first" : "tianji",
"last" : "li"
}
]
}
see mapping
GET /joining_query_object_test/_mapping/
## The age of inquiry is 32 Liu Ji, aged, commented
## In theory, it should hit 1, result hit 2
## Liu Jishi 42 year ,32 Yuantiangang, aged , Not the same comment at all
## reason ：object Type the underlying data structure , It will json Data in array , Flattening
GET /joining_query_object_test/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"comments.name": " Liu Ji "
}
},
{
"match": {
"comments.age": 32
}
}
]
}
}
}
## verification ：
##+(+(comments.name: Liu comments.name: The base ) +comments.age:[32 TO 32]) #MatchNoDocsQuery("")
GET /joining_query_object_test/_mapping/_validate/query?explain
{
"query": {
"bool": {
"must": [
{
"match": {
"comments.name": " Liu Ji "
}
},
{
"match": {
"comments.age": 32
}
}
]
}
}
}
## Inquire about first=Alice and last=Smith There is a problem of inaccurate data
GET joining_query_object_test/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"user.first": "Alice" }},
{
"match": {
"user.last": "Smith" }}
]
}
}
}
2.nested query
- doc Must be nested type .
- nested Type is to solve object The problem of types losing associativity on an array of objects
（1）nested query
## Set up mapping
DELETE joining_query_nested_test
PUT /joining_query_nested_test
{
"mappings": {
"properties": {
"obj1": {
"type": "nested"
},
"comments": {
"type": "nested",
"properties": {
"name": {
"type": "text" },
"comment": {
"type": "text" },
"age": {
"type": "short" },
"stars": {
"type": "short" },
"date": {
"type": "date" }
}
},
"user": {
"type": "nested"
}
}
}
}
## increase doc
PUT /joining_query_nested_test/_doc/1
{
"obj1": {
"name": "blue",
"count": 5
},
"tags": [
" billboard ",
" The golden bull Award "
],
"comments": [
{
"name": " Sima yi ",
"comment": " Wisdom is actually , Fools contend for fame ",
"age": 28,
"stars": 4,
"date": "2022-05-01"
},
{
"name": " Liu Bowen ",
"comment": " Peace is followed by purity , Qing Dynasty and then Ming Dynasty ",
"age": 31,
"stars": 5,
"date": "2022-05-11"
}
],
"group" : "fans",
"user" : [
{
"first" : "John",
"last" : "Smith"
},
{
"first" : "Alice",
"last" : "White"
}
]
}
PUT /joining_query_nested_test/_doc/2
{
"obj1": {
"name": "red",
"count": 3
},
"tags": [
"1h Hot stock ",
"24h Hot stock "
],
"comments": [
{
"name": " Liu Ji ",
"comment": " Have wine and enjoy it , Listen to my Xielu song ",
"age": 42,
"stars": 3,
"date": "2022-05-02"
},
{
"name": " Yuan Tiangang ",
"comment": " Xingyiluoshui , Shuai also Luoshui ",
"age": 32,
"stars": 4,
"date": "2022-05-12"
}
],
"group" : "fans",
"user" : [
{
"first" : "xiaoping",
"last" : "liu"
},
{
"first" : "tianji",
"last" : "li"
}
]
}
## Inquire about mapping(object nested)
GET /joining_query_object_test/_mapping/
GET /joining_query_nested_test/_mapping/
## The age of inquiry is 32 Liu Ji, aged, commented
## solve object The flattening problem of , Liu Jishi 42 year ,32 Yuantiangang, aged , Not the same comment at all
## result :hit 0 In line with expectations
GET /joining_query_nested_test/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"comments.name": " Liu Ji "
}
},
{
"match": {
"comments.age": 32
}
}
]
}
}
}
##_validate Check it out
##+(+(comments.name: Liu comments.name: The base ) +comments.age:[32 TO 32]) #MatchNoDocsQuery("") #DocValuesFieldExistsQuery [field=_primary_term]
GET /joining_query_nested_test/_mapping/_validate/query?explain
{
"query": {
"bool": {
"must": [
{
"match": {
"comments.name": " Liu Ji "
}
},
{
"match": {
"comments.age": 32
}
}
]
}
}
}
## Inquire about first=Alice and last=Smith
##hit: 0 In line with expectations
GET joining_query_nested_test/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"user.first": "Alice" }},
{
"match": {
"user.last": "Smith" }}
]
}
}
}
## Inquire about name=blue,count>4 The record of
## hit:1
GET /joining_query_object_test/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"obj1.name": "blue" } },
{
"range": {
"obj1.count": {
"gt": 4 } } }
]
}
}
}
（2） Inquire about + polymerization
## Inquire about name=blue,count>4 The record of , And aggregate to find avg
## hit:1
GET /joining_query_nested_test/_search
{
"query": {
"nested": {
"path": "obj1",
"query": {
"bool": {
"must": [
{
"match": {
"obj1.name": "blue" } },
{
"range": {
"obj1.count": {
"gt": 4 } } }
]
}
},
"score_mode": "avg"
}
}
}
（3） Multi-level nested queries Multi level nested query
PUT /drivers
{
"mappings": {
"properties": {
"driver": {
"type": "nested",
"properties": {
"last_name": {
"type": "text"
},
"vehicle": {
"type": "nested",
"properties": {
"make": {
"type": "text"
},
"model": {
"type": "text"
}
}
}
}
}
}
}
}
PUT /drivers/_doc/1
{
"driver" : {
"last_name" : "McQueen",
"vehicle" : [
{
"make" : "Powell Motors",
"model" : "Canyonero"
},
{
"make" : "Miller-Meteor",
"model" : "Ecto-1"
}
]
}
}
PUT /drivers/_doc/2?refresh
{
"driver" : {
"last_name" : "Hudson",
"vehicle" : [
{
"make" : "Mifune",
"model" : "Mach Five"
},
{
"make" : "Miller-Meteor",
"model" : "Ecto-1"
}
]
}
}
## Use multi-level nested queries based on make and model Field matches document
GET /drivers/_search
{
"query": {
"nested": {
"path": "driver",
"query": {
"nested": {
"path": "driver.vehicle",
"query": {
"bool": {
"must": [
{
"match": {
"driver.vehicle.make": "Powell Motors" } },
{
"match": {
"driver.vehicle.model": "Canyonero" } }
]
}
}
}
}
}
}
}
3.has_child and has_parent
## There can be a connection field relationship between documents in a single index .
## Insert subdocument note ： The child document must be on the same slice as the parent document , Parent document , When a route exists , Inserting a child document must also fill in the same route as the parent document .
## When querying documents, pay attention to ：
##has_child The query returns the parent document whose child document matches the specified query ,
##has_parent The query returns the child document whose parent document matches the specified query .
Parent/child VS nested
Father - Child relationship document In essence, it is similar to nested model ： Allows you to associate one object entity with another .
（1）nested objects , All objects are in the same document , High read performance
（2）Parent/child, Both parent and child objects are completely independent documents , Parent child updates do not affect each other
- The scope of influence when modifying the index ( scene )
- （1）nested, When you update a parent-child document, you need to update the entire document
- （2）Parent/child, establish , When modifying or deleting subdocuments , Does not affect the parent document or other child documents , But in order to maintain join The relationship between , Need to occupy part of the memory , Poor read performance
## Set the parent-child structure mapping ,join + relations
PUT /joining_query_child_test
{
"mappings": {
"properties": {
"my-join-field": {
"type": "join",
"relations": {
"parent": "child"
}
},
"tag": {
"type": "keyword"
}
}
}
}
## Use has_child Inquire about
GET /joining_query_child_test/_search
{
"query": {
"has_child": {
"type": "child",
"query": {
"match_all": {
}
},
"max_children": 10,
"min_children": 2,
"score_mode": "min"
}
}
}
PUT /joining_query_father_test
{
"mappings": {
"father":{
"properties": {
"id":{
"type": "integer"
},
"name":{
"type": "keyword"
}
}
},
"childers":{
"_parent": {
"type": "father"
},
"properties": {
"age":{
"type": "integer"
},
"name":{
"type": "keyword"
}
}
}
}
}
PUT three_tree_index
{
"mappings": {
"properties": {
"name": {
"type": "text"
},
"age": {
"type": "keyword"
},
"my_join_field": {
"type": "join",
"relations": {
"user_base": "article",
"article": "vote"
}
},
"stars": {
"type": "short"
},
"article_desc": {
"type": "text"
}
}
}
}
# Insert 6 Data
PUT three_tree_index/_doc/1?routing=1&refresh
{
"name":"xiaoming",
"age":29,
"my_join_field":"user_base"
}
PUT three_tree_index/_doc/2?routing=2&refresh
{
"name":"xiaohong",
"age":32,
"my_join_field":"user_base"
}
PUT three_tree_index/_doc/3?routing=1&refresh
{
"article_desc":"xiaoming,article_desc_1",
"my_join_field":{
"name":"article",
"parent":"1"
}
}
PUT three_tree_index/_doc/4?routing=2&refresh
{
"article_desc":"xiaohong,article_desc_1",
"my_join_field":{
"name":"article",
"parent":"2"
}
}
PUT three_tree_index/_doc/5?routing=1&refresh
{
"stars":5,
"my_join_field":{
"name":"vote",
"parent":"3"
}
}
PUT three_tree_index/_doc/6?routing=2&refresh
{
"stars":3,
"my_join_field":{
"name":"vote",
"parent":"4"
}
}
## three_tree_index
## hits : 6
GET /three_tree_index/_search
## Query the content of the article “xiaoming” User information for
## By inquiring has_child Query to parent Information
GET three_tree_index/_search
{
"query": {
"has_child": {
"type": "article",
"query": {
"match": {
"article_desc": "xiaoming"
}
}
}
}
}
## You can do it by adding "inner_hits":{
}, Return both parent and child documents
##_source： Father
##inner_hits： Son
GET three_tree_index/_search
{
"query": {
"has_child": {
"type": "article",
"query": {
"match": {
"article_desc": "xiaoming"
}
},
"inner_hits": {
}
}
}
}
## Query the users corresponding to the articles with five-star reviews （ Nested two layers has_child Inquire about ）
GET three_tree_index/_search
{
"query": {
"bool": {
"must": [
{
"has_child": {
"type": "article",
"query": {
"has_child": {
"type": "vote",
"query": {
"bool": {
"should": [
{
"term": {
"stars": 5
}
}
]
}
}
}
}
}
}
]
}
}
}
##has_parent It's just the opposite , For example, I want to search for all that contain “xiaoming” The average star of the article
GET three_tree_index/_search
{
"query": {
"has_parent": {
"parent_type": "article",
"query": {
"bool": {
"should": [
{
"match": {
"article_desc": "xiaoming"
}
}
]
}
},
"inner_hits": {
}
}
},
"aggs": {
"avg_star": {
"avg": {
"field": "stars"
}
}
}
}
## Use has _ father Inquire about , The index must contain a join field mapping
DELETE joining_parent_test_02
PUT /joining_parent_test_02
{
"mappings": {
"properties": {
"my-join-field": {
"type": "join",
"relations": {
"parent": "child"
}
},
"tag": {
"type": "keyword"
}
}
}
}
GET /joining_parent_test_02/_search
{
"query": {
"has_parent": {
"parent_type": "parent",
"query": {
"term": {
"tag": {
"value": "Elasticsearch"
}
}
}
}
}
}
##Parent ID query Parental identity inquiry ===================================================================================
##1.Create an index with a join field mapping.join + relations
DELETE my-index-000001
PUT /my-index-000001
{
"mappings": {
"properties": {
"my-join-field": {
"type": "join",
"relations": {
"my-parent": "my-child"
}
}
}
}
}
##2. Parent document index
PUT /my-index-000001/_doc/1?refresh
{
"text": "This is a parent document.",
"my-join-field": "my-parent"
}
##3. Sub document index
PUT /my-index-000001/_doc/2?routing=1&refresh
{
"text": "This is a child document.",
"my-join-field": {
"name": "my-child",
"parent": "1"
}
}
##4. Search returns ID by 1 The child document of the parent document of .
## hit :1
GET /my-index-000001/_search
{
"query": {
"parent_id": {
"type": "my-child",
"id": "1"
}
}
}
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