尽管文档存在，但 ElasticSearch 术语查询返回 0 个命中

Question

我有一个 ES 域，当我使用文档的 emailId 字段查询时，我没有得到任何点击。但是，此字段和值存在于文档中。对于同一文档，通过employeeId 查询有效。 下面是我的索引映射的样子。

{
  "properties": {
    "employeeId": {
      "type": "text",
      "fields": {
        "keyword": {
          "ignore_above": 256,
          "type": "keyword"
        }
      }
    },
    "emailId": {
      "type": "text",
      "fields": {
        "keyword": {
          "ignore_above": 256,
          "type": "keyword"
        }
      }
    }
  }
}

以下是我运行搜索的方式。

public SearchResponse searchForExactDocument(final String indexName, final Map<String, Object> queryMap)
            throws IOException {
        BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
        queryMap.forEach((name, value) -> {
            queryBuilder.must(QueryBuilders.termQuery(name, value));
        });
        return this.executeSearch(indexName, queryBuilder);
    }

private SearchResponse executeSearch(final String indexName, final QueryBuilder queryBuilder) throws IOException {
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        searchSourceBuilder.query(queryBuilder);
        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices(indexName);
        searchRequest.source(searchSourceBuilder);
        return restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
    }

我运行了 SearcRequest.source().toString()，下面是我得到的搜索的源字符串。

{
  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "emailId": {
              "value": "21june6lambdatest7@gmail.com",
              "boost": 1.0
            }
          }
        }
      ],
      "adjust_pure_negative": true,
      "boost": 1.0
    }
  }
}

下面是应该返回但没有得到任何点击的文档。

index{
  [
    person
  ][
    _doc
  ][
    null
  ],
  source[
    {
      "firstName": "MyEmployee",
      "lastName": "June6Test7",
      "emailId": "21june6lambdatest7@gmail.com",
      "employeeId": "13908528"
    }
  ]
}

我发现使用employeeId 的查询可以正常工作但emailId 无法正常工作，这很奇怪。任何帮助将不胜感激。

更新： 以下是我的索引创建方法。

public CreateIndexResponse createIndex(final CreateIndexInput createIndexInput) throws IOException {
        CreateIndexRequest createIndexRequest = new CreateIndexRequest(createIndexInput.indexName());
        Settings.Builder settingsBuilder = Settings.builder();
        settingsBuilder.put(NUMBER_OF_SHARDS_KEY, createIndexInput.numOfShards());
        settingsBuilder.put(NUMBER_OF_REPLICAS, createIndexInput.numOfReplicas());
        settingsBuilder.put("analysis.analyzer.custom_uax_url_email.tokenizer", "uax_url_email");
        createIndexInput.mapping().ifPresent(mapping ->
                createIndexRequest.mapping(mapping, XContentType.JSON));
        createIndexRequest.settings(settingsBuilder.build());
        return restHighLevelClient.indices().create(createIndexRequest, RequestOptions.DEFAULT);
    }

Answer 1

术语查询返回在提供的字段中包含确切术语的文档。您需要将 .keyword 添加到 emailId 字段。这使用关键字分析器而不是标准分析器（注意 emailId 字段后面的“.keyword”）。

如果没有指定分析器，默认情况下text 类型字段使用standard analyzer。这会将“21june6lambdatest7@gmail.com”分解为以下标记

{
  "tokens": [
    {
      "token": "21june6lambdatest7",
      "start_offset": 0,
      "end_offset": 18,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "gmail.com",
      "start_offset": 19,
      "end_offset": 28,
      "type": "<ALPHANUM>",
      "position": 1
    }
  ]
}

您需要将查询修改为

{
  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "emailId.keyword": {                // note this
              "value": "21june6lambdatest7@gmail.com",
              "boost": 1.0
            }
          }
        }
      ],
      "adjust_pure_negative": true,
      "boost": 1.0
    }
  }
}

更新 1： 根据下面的 cmets，将您的索引映射和设置修改为

{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "uax_url_email"
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "emailId": {
        "type": "text",
        "analyzer":"my_analyzer"
      }
    }
  }
}

搜索查询：

{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "emailId": "21june6lambdatest7@gmail.com"
          }
        }
      ],
      "adjust_pure_negative": true,
      "boost": 1.0
    }
  }
}

搜索结果：

 "hits": [
      {
        "_index": "67823510",
        "_type": "_doc",
        "_id": "1",
        "_score": 0.6931471,
        "_source": {
          "emailId": "21june6lambdatest7@gmail.com"
        }
      }
    ]