Question

当我使用带有自定义分析器的字段时，logix_item_view_id：ebc1003mb不返回，仅当我仅使用logix_item_view_id搜索时，我才获得正确的结果。

我不明白，也不知道该怎么办？ logix_item_view_id_search应该基于ngran逻辑返回类似的代码，因此我的搜索在某些方面是正确的，但为什么不返回代码ebc1003mb？在上面是我的索引设置和映射属性

我在elasticksearch中创建了一个具有以下属性的索引：

{
  "items_production_20181008060000331": {
    "settings": {
      "index": {
        "max_ngram_diff": "49",
        "number_of_shards": "5",
        "provided_name": "items_production_20181008060000331",
        "max_shingle_diff": "4",
        "max_result_window": "3000000",
        "creation_date": "1538989200382",
        "analysis": {
          "filter": {
            "searchkick_velow_ngram": {
              "type": "edgeNGram",
              "min_gram": "3",
              "max_gram": "50"
            },
            "searchkick_edge_ngram": {
              "type": "edgeNGram",
              "min_gram": "1",
              "max_gram": "50"
            }
          },
          "analyzer": {
            "searchkick_word_start_index": {
              "filter": [
                "lowercase",
                "asciifolding",
                "searchkick_edge_ngram"
              ],
              "type": "custom",
              "tokenizer": "standard"
            },
            "velow_word_start_index": {
              "filter": [
                "lowercase",
                "asciifolding",
                "searchkick_velow_ngram"
              ],
              "type": "custom",
              "tokenizer": "standard"
            }
          },
          "char_filter": {
            "ampersand": {
              "type": "mapping",
              "mappings": [
                "&=> and "
              ]
            }
          }
        },
        "number_of_replicas": "1",
        "uuid": "Goj0nb3JQguuPjWoE69XTg",
        "version": {
          "created": "6020399"
        }
      }
    }
  },
  "readme": {
    "settings": {
      "index": {
        "creation_date": "1536920464303",
        "number_of_shards": "5",
        "number_of_replicas": "1",
        "uuid": "TfQpl9nDRHufZYT25N4n0Q",
        "version": {
          "created": "6040099"
        },
        "provided_name": "readme"
      }
    }
  }
}

使用此设置：

GET items_production/_search?explain
{
    "query": {
        "bool": {
            "must": {
              "multi_match" : {
                "query": "ebc1003mb", 
                "type":  "cross_fields",
                "fields": [
                  "logix_item_view_id^10",
                  "logix_item_view_id_search^9"
                ]
              }
            }
        }
    }
}

进行此搜索时，我没有得到应为第一项的任何结果：

GET items_production/_analyze
{
  "analyzer" : "velow_word_start_index",
  "text" : "ebc1003mb"
}

{
  "tokens": [
    {
      "token": "ebc",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "ebc1",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "ebc10",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "ebc100",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "ebc1003",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "ebc1003m",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    },
    {
      "token": "ebc1003mb",
      "start_offset": 0,
      "end_offset": 9,
      "type": "<ALPHANUM>",
      "position": 0
    }
  ]
}

这是我进行分析时得到的：

iconv

但不要误解我做错的事

Elasticsearch不返回结果；

0 个答案: