Elasticsearch使用Python进行多重查询/搜索

我是Python和Elasticsearch的新手，我在Elasticsearch中创建了一个包含一些数据的索引，我想使用Python根据从用户收到的一些过滤器（关键字、类别）对它们执行查询

问题是，这个程序只在2个字段已满时返回匹配的数据，但我希望它在1个类似字段的类别为空时也返回数据。当关键字为空时，它与“”类似，且不返回任何内容；当类别为空时，我收到此错误：

elasticsearch.exceptions.RequestError: RequestError(400, 'x_content_parse_exception', '[multi_match] unknown token [VALUE_NULL] after [query]')   

---

我做错了什么？如何修复我的搜索过滤器？

添加带有索引数据、搜索查询和搜索结果的工作示例

根据您的上述评论，如果

内容

字段不包含

关键字

，并且

类别

字段包含

类别

，则将对

类别

字段执行搜索查询。这可以通过使用

索引数据：

{
    "content": "keyword a",
    "title": "b",
    "lead": "c",
    "category": "d"
}
{
    "content": "a",
    "title": "b",
    "lead": "c",
    "category": "category"
}
{
    "content": "keyword a",
    "title": "b",
    "lead": "c",
    "category": "category"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "multi_match": {
            "query": "keyword",
            "fields": [
              "content",
              "title",
              "lead"
            ]
          }
        },
        {
          "multi_match": {
            "query": "category",
            "fields": [
              "category"
            ]
          }
        }
      ],
      "minimum_should_match":1
    }
  }
}

"hits": [
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "3",
        "_score": 0.9666445,
        "_source": {
          "content": "keyword a",
          "title": "b",
          "lead": "c",
          "category": "category"
        }
      },
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "2",
        "_score": 0.60996956,
        "_source": {
          "content": "keyword a",
          "title": "b",
          "lead": "c",
          "category": "d"
        }
      },
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "1",
        "_score": 0.35667494,
        "_source": {
          "content": "a",
          "title": "b",
          "lead": "c",
          "category": "category"
        }
      }
    ]

搜索查询：

{
    "content": "keyword a",
    "title": "b",
    "lead": "c",
    "category": "d"
}
{
    "content": "a",
    "title": "b",
    "lead": "c",
    "category": "category"
}
{
    "content": "keyword a",
    "title": "b",
    "lead": "c",
    "category": "category"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "multi_match": {
            "query": "keyword",
            "fields": [
              "content",
              "title",
              "lead"
            ]
          }
        },
        {
          "multi_match": {
            "query": "category",
            "fields": [
              "category"
            ]
          }
        }
      ],
      "minimum_should_match":1
    }
  }
}

"hits": [
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "3",
        "_score": 0.9666445,
        "_source": {
          "content": "keyword a",
          "title": "b",
          "lead": "c",
          "category": "category"
        }
      },
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "2",
        "_score": 0.60996956,
        "_source": {
          "content": "keyword a",
          "title": "b",
          "lead": "c",
          "category": "d"
        }
      },
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "1",
        "_score": 0.35667494,
        "_source": {
          "content": "a",
          "title": "b",
          "lead": "c",
          "category": "category"
        }
      }
    ]

搜索结果：

{
    "content": "keyword a",
    "title": "b",
    "lead": "c",
    "category": "d"
}
{
    "content": "a",
    "title": "b",
    "lead": "c",
    "category": "category"
}
{
    "content": "keyword a",
    "title": "b",
    "lead": "c",
    "category": "category"
}

{
  "query": {
    "bool": {
      "should": [
        {
          "multi_match": {
            "query": "keyword",
            "fields": [
              "content",
              "title",
              "lead"
            ]
          }
        },
        {
          "multi_match": {
            "query": "category",
            "fields": [
              "category"
            ]
          }
        }
      ],
      "minimum_should_match":1
    }
  }
}

"hits": [
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "3",
        "_score": 0.9666445,
        "_source": {
          "content": "keyword a",
          "title": "b",
          "lead": "c",
          "category": "category"
        }
      },
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "2",
        "_score": 0.60996956,
        "_source": {
          "content": "keyword a",
          "title": "b",
          "lead": "c",
          "category": "d"
        }
      },
      {
        "_index": "stof_64081587",
        "_type": "_doc",
        "_id": "1",
        "_score": 0.35667494,
        "_source": {
          "content": "a",
          "title": "b",
          "lead": "c",
          "category": "category"
        }
      }
    ]

---

如果像category这样的一个字段是空的，那么也返回数据，关于这一点，这是否意味着

category

字段包含像

'

这样的文档，并且您想查询该空字段值？您是否有机会查看我的答案，期待得到您的反馈：）@BhavyaGupta我的意思是，当类别字段为空时，我只想按关键字搜索。当关键字为空时，我只想按类别搜索，当两者都已满时，我想按类别搜索和筛选数据both@BhavyaGupta比如，有时候用户没有输入关键字，但是输入了一个类别，我只想用这个类别查询数据，请看一下我更新的答案，让我知道这是否是你的问题？现在当我把关键字放空：{'take'：0，'timed_out'：False，'u shards'：{'total'：1，'successful'：1，'skipped'：0，'failed'：0}，'hits'：{'total'：{'value'：0，'relation'：'eq'，'max_score'：无，'hits'：[]}当类别为空时：elasticsearch.exceptions.RequestError:RequestError（400，'x_content_parse_exception'，'[query]'后的[multi_match]未知标记[VALUE_NULL]）@bluxixixi

关键字

为空，这意味着？您是否在其中一个文档中没有使用

关键字

字段？