我正在尝试使用设置ElasticSearch elasticsearch_dsl python库。我已经能够设置索引,并且能够使用 .filter() 方法,但我无法获取 .suggest 工作方法。

我正在尝试使用 completion 映射类型,以及 suggest 查询方法,因为它将用于自动完成字段(在弹性体的文档中推荐)。

我对弹性很陌生,所以我想我错过了一些东西。 任何指导都将不胜感激!

我到目前为止所做的

我没有找到一个完全符合我要求的教程,但是我在elasticsearch.com上阅读了文档,并且 elasticsearch_dsl 并看了一些例子 here 和 here

我在Heroku上使用搜索框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
          }
        }
      }
    }
  }
}

正在尝试搜索

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-工作:

>>> 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

我一个也拿不到 .suggest() 工作方法。 注: *我跟着那个官员 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,但是结果是相似的。(注 .filter()。 我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

根据Honza的建议,我更新了 title_suggest 映射只完成,没有自定义分析器。我还删除了索引,重新编制了索引。

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

不幸的是,问题仍然存在。这里还有一些测试:

核实 标题\建议 正在正确索引

>>> 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'

尝试再次搜索:

>>> 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"
          }
        }
      }
    }
  }
}