ElasticSearch - python中完成建议器的批量索引(ElasticSearch - bulk indexing for a completion suggester in python)

 我试图添加一个完成提示器来为我的Django应用中的搜索字段（使用Elastic Search 5.2.x和elasticseach-dsl）启用搜索类型。 在尝试了解很长一段时间后，我无法确定如何对建议者进行批量索引。 这是我的代码： 
 
class SchoolIndex(DocType):
    name = Text()
    school_type = Keyword()
    name_suggest = Completion()
 
 大宗索引如下： 
 
def bulk_indexing():
    SchoolIndex.init(index="school_index")
    es = Elasticsearch()
    bulk(client=es, actions=(a.indexing() for a in models.School.objects.all().iterator()))
 
 并且在models.py中定义了一个索引方法： 
 
def indexing(self):
       obj = SchoolIndex(
          meta = {'id': self.pk},
          name = self.name,
          school_type = self.school_type,
          name_suggest = {'input': self.name } <--- # what goes in here?
       )
       obj.save(index="school_index")
       return obj.to_dict(include_meta=True)
 
 根据ES 文档 ，建议像任何其他字段一样编入索引。 所以我可以在我的代码中的上面的name_suggest =语句中添加几个术语，这些术语在搜索时将匹配相应的字段。 但我的问题是如何做到这一点与大量的记录？ 我猜测ES会自动提出一些可以用作建议的术语。 例如：将短语中的每个单词用作术语。 我可以自己想出类似的东西（通过将每个短语分解成单词），但似乎并不直观，我自己可以这样做，因为我猜测已经有一种默认方式，用户可以根据需要进一步调整。 但在搜索相当长的一段时间后，在SO / blog / ES文档/ elasticsearch-dsl文档中找不到类似的内容。 （亚当·瓦蒂斯的这篇文章对我的入门非常有帮助）。 将欣赏任何指针。 

I am trying to add a completion suggester to enable search-as-you-type for a search field in my Django app (using Elastic Search 5.2.x and elasticseach-dsl). After trying to figure this out for a long time, I am not able to figure yet how to bulk index the suggester. Here's my code:
 
class SchoolIndex(DocType):
    name = Text()
    school_type = Keyword()
    name_suggest = Completion()
 
Bulk indexing as follows:
 
def bulk_indexing():
    SchoolIndex.init(index="school_index")
    es = Elasticsearch()
    bulk(client=es, actions=(a.indexing() for a in models.School.objects.all().iterator()))
 
And have defined an indexing method in models.py:
 
def indexing(self):
       obj = SchoolIndex(
          meta = {'id': self.pk},
          name = self.name,
          school_type = self.school_type,
          name_suggest = {'input': self.name } <--- # what goes in here?
       )
       obj.save(index="school_index")
       return obj.to_dict(include_meta=True)
 
As per the ES docs, suggestions are indexed like any other field. So I could just put a few terms in the name_suggest = statement above in my code which will match the corresponding field, when searched. But my question is how to do that with a ton of records? I was guessing there would be a standard way for ES to automatically come up with a few terms that could be used as suggestions. For example: using each word in the phrase as a term. I could come up something like that on my own (by breaking each phrase into words) but it seems counter-intuitive to do that on my own since I'd guess there would already be a default way that the user could further tweak if needed. But couldn't find anything like that on SO/blogs/ES docs/elasticsearch-dsl docs after searching for quite sometime. (This post by Adam Wattis was very helpful in getting me started though). Will appreciate any pointers.

原文：https://stackoverflow.com/questions/43861059