[英]Elasticsearch exclude documents containing specific terms
我已经在elasticsearch
索引了像波纹管这样的文档。
{
"category": "clothing (f)",
"description": "Women's Unstoppable Graphic T-Shirt - Women’s Short Sleeve Shirt",
"name": "Women's Unstoppable Graphic T-Shirt",
"price": "$34.99"
}
有clothing (m)
、 clothing (f)
等类别。如果搜索的是女性物品,我试图排除cloting (m)
类别物品。 我正在尝试的查询是:
{
"query": {
"bool": {
"must": [
{
"match": {
"description": "women's black shirt"
}
}
],
"must_not": [
{
"term": {
"category": "clothing (m)"
}
}
]
}
},
"from": 0,
"size": 50
}
但这并没有按预期工作。 clothing (m)
文件与其他文件的结果总是很少。 如何排除具有特定类别的文档?
为了排除特定term
(完全匹配),您必须使用keyword
数据类型。
关键字数据类型通常用于过滤(查找已发布状态的所有博客文章)、排序和聚合。 关键字字段只能按其确切值进行搜索。
您当前的查询在结果中捕获了服装 (m) ,因为当您为文档编制索引时,它们会使用 elasticsearch standard
分析器进行分析,该分析器将服装 (m)分析为服装和(m) 。
在您的查询中,您将category
搜索为text
数据类型。
文本数据类型字段被分析,也就是说,它们在被索引之前通过分析器将字符串转换为单个术语的列表。
运行此命令:
POST my_index/_analyze
{
"text": ["clothing (m)"]
}
结果:
{
"tokens" : [
{
"token" : "clothing",
"start_offset" : 0,
"end_offset" : 8,
"type" : "<ALPHANUM>",
"position" : 0
},
{
"token" : "m",
"start_offset" : 10,
"end_offset" : 11,
"type" : "<ALPHANUM>",
"position" : 1
}
]
}
一个工作示例:
假设您的映射如下所示:
{
"my_index" : {
"mappings" : {
"properties" : {
"category" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"description" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"name" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"price" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
}
}
}
让我们发布一些文件:
POST my_index/_doc/1
{
"category": "clothing (m)",
"description": "Women's Unstoppable Graphic T-Shirt - Women’s Short Sleeve Shirt",
"name": "Women's Unstoppable Graphic T-Shirt",
"price": "$34.99"
}
POST my_index/_doc/2
{
"category": "clothing (f)",
"description": "Women's Unstoppable Graphic T-Shirt - Women’s Short Sleeve Shirt",
"name": "Women's Unstoppable Graphic T-Shirt",
"price": "$34.99"
}
现在我们的查询应该是这样的:
GET my_index/_search
{
"query": {
"bool": {
"must": {
"match": {
"description": "women's black shirt"
}
},
"filter": {
"bool": {
"must_not": {
"term": {
"category.keyword": "clothing (m)"
}
}
}
}
}
},
"from": 0,
"size": 50
}
结果:
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 0.43301374,
"hits" : [
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "1",
"_score" : 0.43301374,
"_source" : {
"category" : "clothing (f)",
"description" : "Women's Unstoppable Graphic T-Shirt - Women’s Short Sleeve Shirt",
"name" : "Women's Unstoppable Graphic T-Shirt",
"price" : "$34.99"
}
}
]
}
}
不使用keyword
结果
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 0.43301374,
"hits" : [
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "1",
"_score" : 0.43301374,
"_source" : {
"category" : "clothing (f)",
"description" : "Women's Unstoppable Graphic T-Shirt - Women’s Short Sleeve Shirt",
"name" : "Women's Unstoppable Graphic T-Shirt",
"price" : "$34.99"
}
},
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "2",
"_score" : 0.43301374,
"_source" : {
"category" : "clothing (m)",
"description" : "Women's Unstoppable Graphic T-Shirt - Women’s Short Sleeve Shirt",
"name" : "Women's Unstoppable Graphic T-Shirt",
"price" : "$34.99"
}
}
]
}
}
正如您从上次结果中看到的,我们还得到了服装 (m) 。 顺便说一句,不要对text
数据类型使用term
。 使用match
。
希望这可以帮助。
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