elasticsearch - 当字段包含〜时过滤 Elasticsearch 数据

我有一堆文件如下。我想在projectkey以〜开头的地方过滤数据。
我确实读过一些文章，其中说〜是Elastic查询中的运算符，因此无法真正进行过滤。
有人可以帮助形成/ branch / _search API的搜索查询吗？

{
  "_index": "branch",
  "_type": "_doc",
  "_id": "GAz-inQBJWWbwa_v-l9e",
  "_version": 1,
  "_score": null,
  "_source": {
    "branchID": "refs/heads/feature/12345",
    "displayID": "feature/12345",
    "date": "2020-09-14T05:03:20.137Z",
    "projectKey": "~user",
    "repoKey": "deploy",
    "isDefaultBranch": false,
    "eventStatus": "CREATED",
    "user": "user"
  },
  "fields": {
    "date": [
      "2020-09-14T05:03:20.137Z"
    ]
  },
  "highlight": {
    "projectKey": [
      "~@kibana-highlighted-field@user@/kibana-highlighted-field@"
    ],
    "projectKey.keyword": [
      "@kibana-highlighted-field@~user@/kibana-highlighted-field@"
    ],
    "user": [
      "@kibana-highlighted-field@user@/kibana-highlighted-field@"
    ]
  },
  "sort": [
    1600059800137
  ]
}

更新 ***
我在下面使用prerana的答案在查询中使用-prefix
当我使用前缀和范围时，仍然有些问题-我得到以下错误-我缺少了什么？

GET /branch/_search
{
  "query": {
    "prefix": {
      "projectKey": "~"
    },
    "range": {
      "date": {
        "gte": "2020-09-14",
        "lte": "2020-09-14"
      }
    }
  }
}



    {
  "error": {
    "root_cause": [
      {
        "type": "parsing_exception",
        "reason": "[prefix] malformed query, expected [END_OBJECT] but found [FIELD_NAME]",
        "line": 6,
        "col": 5
      }
    ],
    "type": "parsing_exception",
    "reason": "[prefix] malformed query, expected [END_OBJECT] but found [FIELD_NAME]",
    "line": 6,
    "col": 5
  },
  "status": 400
}

最佳答案

如果我对您的问题很了解，建议您创建一个自定义分析器来搜索特殊字符~。
在将~替换为__SPECIAL__时，我在本地进行了如下测试:
我创建了一个带有自定义char_filter的索引，并在projectKey字段中添加了一个字段。新的multi_field的名称为special_characters。
这是映射:

PUT wildcard-index
{
"settings": {
    "analysis": {
    "char_filter": {
        "special-characters-replacement": {
        "type": "mapping",
        "mappings": [
            "~ => __SPECIAL__"
        ]
        }
    },
    "analyzer": {
        "special-characters-analyzer": {
        "tokenizer": "standard",
        "char_filter": [
            "special-characters-replacement"
        ]
        }
    }
    }
},
"mappings": {
    "properties": {
    "projectKey": {
        "type": "text",
        "fields": {
        "special_characters": {
            "type": "text",
            "analyzer": "special-characters-analyzer"
        }
        }
    }
    }
}
}

然后，我在索引中提取了以下内容:
“projectKey”:“content1〜”
“projectKey”:“这〜是一个内容”
“projectKey”:“〜路上的汽车”
“projectKey”:“o〜ngram”
然后，查询为:

GET wildcard-index/_search
{
"query": {
    "match": {
    "projectKey.special_characters": "~"
    }
}
}

响应是:

"hits" : [
  {
    "_index" : "wildcard-index",
    "_type" : "_doc",
    "_id" : "h1hKmHQBowpsxTkFD9IR",
    "_score" : 0.43250346,
    "_source" : {
      "projectKey" : "content1 ~"
    }
  },
  {
    "_index" : "wildcard-index",
    "_type" : "_doc",
    "_id" : "iFhKmHQBowpsxTkFFNL5",
    "_score" : 0.3034693,
    "_source" : {
      "projectKey" : "This ~ is a content"
    }
  },
  {
    "_index" : "wildcard-index",
    "_type" : "_doc",
    "_id" : "-lhKmHQBowpsxTkFG9Kg",
    "_score" : 0.3034693,
    "_source" : {
      "projectKey" : "~ cars on the road"
    }
  }
]

请让我知道如果您有任何问题，我们将很高兴为您提供帮助。
注意:如果~后面有空格，则此方法有效。从响应中您可以看到没有显示第四个数据。