要创建一个基于PostgreSQL中N-join表中的数据构建的GUI表的任务。
该GUI表意味着具有全文搜索功能的排序和过滤。
我想为此目的使用松紧带。准备了用于Elasticsearch的此数据结构:
{
did_user_read: true,
view_info: {
total: 1,
users: [
{ name: 'John Smith', read_at: '2020-02-04 11:00:01', is_current_user: false },
{ name: 'Samuel Jackson', read_at: '2020-02-04 11:00:01', is_current_user: true },
],
},
is_favorite: true,
has_attachments: true,
from: {
short_name: 'You',
full_name: 'Chuck Norris',
email: 'ch.norris@example.com',
is_current_user: true
},
subject: 'The secret of the appearance of navel lints',
received_at: '2020-02-04 11:00:01'
}
请告知如何正确索引此结构，以便可以按嵌套对象和嵌套对象数组进行过滤和搜索？
例如，我想要获得所有符合以下条件的记录:
is_favorite IS false
AND
FULL_TEXT_SEARCH("sam jackson")
BY FIELDS
users.name, -- inside of array(!)
from.full_name,
from.short_name
AND
users.is_current_user IS NOT false
AND
ORDER BY received_at DESC
最佳答案
对于上述数据结构，您的elasticsearch索引映射应为:
制图
{
"mappings": {
"properties": {
"did_user_read": {
"type": "boolean"
},
"view_info": {
"properties": {
"total": {
"type": "integer"
},
"users": {
"properties": {
"name": {
"type": "text"
},
"read_at": {
"type": "date",
"format": "date_hour_minute_second"
},
"is_current_user": {
"type": "boolean"
}
}
}
}
},
"is_favorite": {
"type": "boolean"
},
"has_attachments": {
"type": "boolean"
},
"from": {
"properties": {
"short_name": {
"type": "text"
},
"full_name": {
"type": "text"
},
"email": {
"type": "keyword"
},
"is_current_user": {
"type": "boolean"
}
}
},
"subject": {
"type": "text"
},
"received_at": {
"type": "date",
"format": "date_hour_minute_second"
}
}
}
}
现在，我已经以您在示例中给出的相同格式对少数文档建立了索引。
根据要求的条件进行的搜索查询应为:
搜索查询:
{
"query": {
"bool": {
"filter": [
{
"term": {
"is_favorite": false
}
},
{
"term": {
"view_info.users.is_current_user": true
}
}
],
"must": {
"multi_match": {
"query": "sam jackson",
"fields": [
"view_info.users.name",
"from.full_name",
"from.short_name"
]
}
}
}
},
"sort": [
{
"received_at": {
"order": "desc"
}
}
]
}
输出量
"hits": [
{
"_index": "topics",
"_type": "_doc",
"_id": "3",
"_score": null,
"_source": {
"did_user_read": true,
"view_info": {
"total": 1,
"users": [
{
"name": "John Smith",
"read_at": "2020-02-04T11:00:01",
"is_current_user": false
},
{
"name": "Samuel Jackson",
"read_at": "2020-02-04T11:00:01",
"is_current_user": true
}
]
},
"is_favorite": false,
"has_attachments": true,
"from": {
"short_name": "You",
"full_name": "Chuck Norris",
"email": "ch.norris@example.com",
"is_current_user": true
},
"subject": "The secret of the appearance of navel lints",
"received_at": "2020-02-04T11:00:03"
},
"sort": [
1580814003000
]
},
{
"_index": "topics",
"_type": "_doc",
"_id": "2",
"_score": null,
"_source": {
"did_user_read": true,
"view_info": {
"total": 1,
"users": [
{
"name": "John Smith",
"read_at": "2020-02-04T11:00:01",
"is_current_user": false
},
{
"name": "Samuel Jackson",
"read_at": "2020-02-04T11:00:01",
"is_current_user": true
}
]
},
"is_favorite": false,
"has_attachments": true,
"from": {
"short_name": "You",
"full_name": "Chuck Norris",
"email": "ch.norris@example.com",
"is_current_user": true
},
"subject": "The secret of the appearance of navel lints",
"received_at": "2020-02-04T11:00:01"
},
"sort": [
1580814001000
]
}
]
说明:
根据您的查询，这就是构造搜索查询的方式:
is_favorite IS false and users.is_current_user IS NOT false这是通过
filter query来完成的。当我们希望我们的文档满足某些条件但对计算搜索文档的分数没有帮助时，将使用过滤器。现在，由于两个查询字段均为 bool(boolean) 值，因为答案为是或否，所以它们将不会有助于计算得分。 FULL_TEXT_SEARCH("sam jackson")
BY FIELDS
users.name, -- inside of array(!)
from.full_name,
from.short_name在这里我们要搜索
sam jackson，它们应该在所有3个字段中，因此使用
match_phrase。 这三个条件保留在
bool过滤器中，因为存在将它们连接在一起的AND条件ORDER BY received_at DESC对于此
sort查询，使用注意:您必须更改存在日期时间的数据，例如read_at，received_at。目前，您采用的格式为2020-02-04 11:00:01。您只需稍作更改，以使它在Elasticsearch中索引文档时采用格式2020-02-04T11:00:01(而不是空间使用T)，因为elasticsearch仅接受日期时间格式集。您可以在此处引用日期时间接受的格式https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-date-format.html
关于elasticsearch - Elasticsearch:全文搜索和按对象嵌套数组过滤，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/61142483/