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Java Elasticsearch排除包含特定术语的文档

Java Elasticsearch排除包含特定术语的文档,java,python,elasticsearch,lucene,Java,Python,elasticsearch,Lucene,我在elasticsearch中索引了像bellow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" } 有像衣服(m),衣服(f)等类别。

我在
elasticsearch
中索引了像bellow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"
}
有像
衣服(m)
衣服(f)
等类别。如果搜索的是女性物品,我试图排除
凝结(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
}

但这并不像预期的那样有效。对于
服装(m)
文档和其他文档,结果总是很少。如何排除具有特定类别的文档?

要排除特定的
术语(精确匹配),您必须使用
关键字
数据类型

关键字数据类型通常用于过滤(查找状态已发布的所有博客文章)、排序和聚合。关键字字段只能通过其精确值进行搜索

您当前的查询在结果中捕获了衣服(m),因为当您为文档编制索引时,使用elasticsearch
标准
分析器对其进行分析,该分析器将衣服(m)分析为衣服(m)

在查询中,您搜索了
类别
作为
文本
数据类型

对文本数据类型字段进行分析,也就是说,在索引之前,这些字段通过分析器将字符串转换为单个术语的列表

运行以下命令:

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
    }
  ]
}
让我们发布一些文档:

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如下所示:

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
}
结果是:

{
  "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"
        }
      }
    ]
  }
}
未使用
关键字的结果

{
  "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"
        }
      }
    ]
  }
}
正如您从上一次的结果中所看到的,我们还得到了衣服(m)。 顺便说一句,对于
文本
数据类型,不要使用
术语
。使用
匹配

{    
    "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"
}

希望这能有所帮助。

不要在所有情况下都排除这些术语。你是什么意思?没有得到预期的结果你想举一个“没有得到预期结果”的例子吗?因为我的例子是有效的。是的,它对我也有效了一段时间。但是我得到了我排除的关键字的数据。因此,这肯定不是解决办法。