ElasticSearch parent-child query results are not as expected
I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.
How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?
PUT merit_parent/merit_mapping/1
{
"name": "test1",
"sex": "female",
"age": 18
}
PUT merit_parent/merit_mapping/2
{
"name": "test2",
"sex": "male",
"age": 20
}
PUT merit_parent/child_mapping/1?parent=1
{
"str_id": "1",
"str_pid": "1",
"double_date": 20180101,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/2?parent=1
{
"str_id": "2",
"str_pid": "1",
"double_date": 20180102,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/3?parent=2
{
"str_id": "3",
"str_pid": "2",
"double_date": 20180101,
"double_loginNum": 10
}
My query
{
"query": {
"bool": {
"must": [
{
"term": {
"sex": "male"
}
},
{
"has_child": {
"type": "child_mapping",
"query": {
"bool": {
"must": [
{
"range": {
"double_date": {
"gte": "20180101",
"lte": "20180110"
}
}
}
]
}
}
}
}
]
}
},
"aggs": {
"child": {
"children": {
"type": "child_mapping"
},
"aggs": {
"ipo_year": {
"terms": {
"field": "str_pid",
"size": 0
},
"aggs": {
"login_num": {
"sum": {
"field": "double_loginNum"
}
},
"having": {
"bucket_selector": {
"buckets_path": {
"count": "login_num"
},
"script": {
"lang": "expression",
"inline": "count>10"
}
}
}
}
}
}
}
}
}
elasticsearch
add a comment |
I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.
How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?
PUT merit_parent/merit_mapping/1
{
"name": "test1",
"sex": "female",
"age": 18
}
PUT merit_parent/merit_mapping/2
{
"name": "test2",
"sex": "male",
"age": 20
}
PUT merit_parent/child_mapping/1?parent=1
{
"str_id": "1",
"str_pid": "1",
"double_date": 20180101,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/2?parent=1
{
"str_id": "2",
"str_pid": "1",
"double_date": 20180102,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/3?parent=2
{
"str_id": "3",
"str_pid": "2",
"double_date": 20180101,
"double_loginNum": 10
}
My query
{
"query": {
"bool": {
"must": [
{
"term": {
"sex": "male"
}
},
{
"has_child": {
"type": "child_mapping",
"query": {
"bool": {
"must": [
{
"range": {
"double_date": {
"gte": "20180101",
"lte": "20180110"
}
}
}
]
}
}
}
}
]
}
},
"aggs": {
"child": {
"children": {
"type": "child_mapping"
},
"aggs": {
"ipo_year": {
"terms": {
"field": "str_pid",
"size": 0
},
"aggs": {
"login_num": {
"sum": {
"field": "double_loginNum"
}
},
"having": {
"bucket_selector": {
"buckets_path": {
"count": "login_num"
},
"script": {
"lang": "expression",
"inline": "count>10"
}
}
}
}
}
}
}
}
}
elasticsearch
add a comment |
I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.
How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?
PUT merit_parent/merit_mapping/1
{
"name": "test1",
"sex": "female",
"age": 18
}
PUT merit_parent/merit_mapping/2
{
"name": "test2",
"sex": "male",
"age": 20
}
PUT merit_parent/child_mapping/1?parent=1
{
"str_id": "1",
"str_pid": "1",
"double_date": 20180101,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/2?parent=1
{
"str_id": "2",
"str_pid": "1",
"double_date": 20180102,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/3?parent=2
{
"str_id": "3",
"str_pid": "2",
"double_date": 20180101,
"double_loginNum": 10
}
My query
{
"query": {
"bool": {
"must": [
{
"term": {
"sex": "male"
}
},
{
"has_child": {
"type": "child_mapping",
"query": {
"bool": {
"must": [
{
"range": {
"double_date": {
"gte": "20180101",
"lte": "20180110"
}
}
}
]
}
}
}
}
]
}
},
"aggs": {
"child": {
"children": {
"type": "child_mapping"
},
"aggs": {
"ipo_year": {
"terms": {
"field": "str_pid",
"size": 0
},
"aggs": {
"login_num": {
"sum": {
"field": "double_loginNum"
}
},
"having": {
"bucket_selector": {
"buckets_path": {
"count": "login_num"
},
"script": {
"lang": "expression",
"inline": "count>10"
}
}
}
}
}
}
}
}
}
elasticsearch
I create Indexing Parents and Children, the parent document stores user basic information, and the child document stores login information.
How do I query user information that is older than 18 years old and has logged in more than 5 times during the time period from 2018-01-01 to 2018-01-10?
PUT merit_parent/merit_mapping/1
{
"name": "test1",
"sex": "female",
"age": 18
}
PUT merit_parent/merit_mapping/2
{
"name": "test2",
"sex": "male",
"age": 20
}
PUT merit_parent/child_mapping/1?parent=1
{
"str_id": "1",
"str_pid": "1",
"double_date": 20180101,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/2?parent=1
{
"str_id": "2",
"str_pid": "1",
"double_date": 20180102,
"double_loginNum": 2
}
PUT merit_parent/child_mapping/3?parent=2
{
"str_id": "3",
"str_pid": "2",
"double_date": 20180101,
"double_loginNum": 10
}
My query
{
"query": {
"bool": {
"must": [
{
"term": {
"sex": "male"
}
},
{
"has_child": {
"type": "child_mapping",
"query": {
"bool": {
"must": [
{
"range": {
"double_date": {
"gte": "20180101",
"lte": "20180110"
}
}
}
]
}
}
}
}
]
}
},
"aggs": {
"child": {
"children": {
"type": "child_mapping"
},
"aggs": {
"ipo_year": {
"terms": {
"field": "str_pid",
"size": 0
},
"aggs": {
"login_num": {
"sum": {
"field": "double_loginNum"
}
},
"having": {
"bucket_selector": {
"buckets_path": {
"count": "login_num"
},
"script": {
"lang": "expression",
"inline": "count>10"
}
}
}
}
}
}
}
}
}
elasticsearch
elasticsearch
edited Nov 16 '18 at 20:27
halfer
14.7k759116
14.7k759116
asked Nov 16 '18 at 11:27
KidKid
13
13
add a comment |
add a comment |
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