我正在尝试使用elasticsearch_dsl python库设置ElasticSearch。我已经能够设置索引,并且能够使用.filter()方法进行搜索,但是我无法使.suggest方法正常工作。

我正在尝试使用completion映射类型和suggest查询方法,因为这将用于自动完成字段(在Elastic的文档中推荐)。

我是新手,所以我想我缺少了一些东西。
任何指导将不胜感激!

到目前为止我做了什么

我没有找到完全符合我想要的教程,但是我通读了ElasticSearch.com和elasticsearch_dsl上的文档,并看了一些示例
herehere

PS:我在Heroku上使用Searchbox Elasticsearch

索引/映射设置:

# imports [...]

edge_ngram_analyzer = analyzer(
    'edge_ngram_analyzer',
    type='custom',
    tokenizer='standard',
    filter=[
        'lowercase',
        token_filter(
            'edge_ngram_filter', type='edgeNGram',
            min_gram=1, max_gram=20
        )
    ]
)

class DocumentIndex(ElasticDocument):
    title = Text()
    title_suggest = Completion(
        analyzer=edge_ngram_analyzer,
        )
    class Index:
        name = 'documents-index'

# [...] Initialize index
# [...] Upload Documents (5,000 documents)
# DocumentIndex.init()
# [DocumentIndex(**doc).save() for doc in mydocs]

映射输出:

这是Web控制台中显示的映射:
 {
  "documents-index": {
    "mappings": {
      "doc": {
        "properties": {
          "title": {
            "type": "text"
          },
          "title_suggest": {
            "type": "completion",
            "analyzer": "edge_ngram_analyzer",
            "search_analyzer": "standard",
            "preserve_separators": true,
            "preserve_position_increments": true,
            "max_input_length": 50
          }
        }
      }
    }
  }
}

尝试搜寻

验证索引是否存在:
>>> search = Search(index='documents-index')
>>> search.count()  # Returns correct amount of documents
5000
>>> [doc for doc in search.scan()][:3]
>>> [<Hit(documents-index/doc/1): ...} ...

测试搜索-作品:
>>> query = search.filter('match', title='class')
>>> query.execute()
>>> result.hits
<Response: [<Hit(documents-in [ ... ]
>>> len(result.hits)
10
>>> query.to_dict()  # see query payload
{
  "query":{
    "bool":{
      "filter":[
        {
          "fuzzy":{
            "title":"class"
          }
        }
      ]
    }
  }
}

失败的部分

我无法使用任何.suggest()方法。
注意:
*我正在关注官方library docs

测试建议:
>>> query = search.suggest(
        'title-suggestions',
        'class',
        completion={
        'field': 'title_suggest',
        'fuzzy': True
        })
>>> query.execute()
<Response: {}>
>>> query.to_dict() # see query payload
{
  "suggest": {
    "title-suggestions": {
      "text": "class",
      "completion": { "field": "title_suggest" }
    }
  }
}

我还尝试了下面的代码,显然还有许多不同类型的查询和值,但结果相似。 (注意.filter()总是得到预期的结果)。
>>> query = search.suggest(
        'title-suggestions',
        'class',
         term=dict(field='title'))
>>> query.to_dict() # see query payload
{
  "suggest": {
    "title-suggestions": {
        "text": "class",
        "term": {
            "field": "title"
        }
    }
  }
}
>>> query.execute()
<Response: {}>

更新资料

根据Honza的建议,我将title_suggest映射更新为仅Completion,没有自定义分析器。我还删除了索引并从头开始重新索引
class DocumentIndex(ElasticDocument):
    title = Text()
    title_suggest = Completion()
    class Index:
        name = 'documents-index'

不幸的是,问题仍然存在。这是更多测试:

验证title_suggest是否正确索引
>>> search = Search(index='documents-index)
>>> search.index('documents-index').count()
23369
>>> [d for d in search.scan()][0].title
'AnalyticalGrid Property'
>>> [d for d in search.scan()][0].title_suggest
'AnalyticalGrid Property'

再次尝试搜索:
>>> len(search.filter('term', title='class').execute().hits)
10
>>> search.filter('term', title_suggest='Class').execute().hits
[]
>>> search.suggest('suggestions', 'class', completion={'field':
'title_suggest'}).execute().hits
[]

验证映射:
>>> pprint(index.get_mapping())
{
  "documents-index": {
    "mappings": {
      "doc": {
        "properties": {
          "title": { "type": "text" },
          "title_suggest": {
            "analyzer": "simple",
            "max_input_length": 50,
            "preserve_position_increments": True,
            "preserve_separators": True,
            "type": "completion"
          }
        }
      }
    }
  }
}

最佳答案

对于完成字段,您不想使用ngram分析器。 completion字段将自动为所有前缀编制索引并针对前缀查询进行优化,因此您要进行两次工作并使系统混乱。从空的completion字段开始,然后从那里开始。

09-28 00:23