首页 \ 问答 \ 思考狮身人面像的结果基于模型偏好(Thinking sphinx results based on model preference)

思考狮身人面像的结果基于模型偏好(Thinking sphinx results based on model preference)

我有两个模型:'A'和'B',并且想要使用Thinking sphinx搜索两个模型中的对象,但我想要所有模型'A'的结果然后'B'。 我怎样才能做到这一点? 我将以下选项传递给sphinx查询

{:match_mode=>:extended, :sort_mode=>:extended, :star=>true, :order=>"@relevance DESC", :ignore_errors=>true, :populate=>true, :per_page=>10, :retry_stale=>true, :classes => [A,B]}

然后使用以下方法获取搜索结果

ThinkingSphinx.search "*xy*", options

但它给出了混合排序的结果,而我首先需要所有'A'对象。 我怎样才能做到这一点?


I have two models: 'A' and 'B', and want to search objects from both of them using Thinking sphinx, but I want all results of model 'A' first and then 'B'. How can I do that? I pass the following options to sphinx query

{:match_mode=>:extended, :sort_mode=>:extended, :star=>true, :order=>"@relevance DESC", :ignore_errors=>true, :populate=>true, :per_page=>10, :retry_stale=>true, :classes => [A,B]}

And then get search results using:

ThinkingSphinx.search "*xy*", options

But it gives results in mixed ordering, whereas I need all 'A' objects first. How can I do that?


原文:
更新时间:2022-03-29 09:03

最满意答案

更新

根据DiskLruCache的要求,我们可以更好地整理输入字符串:

  • 最大长度:64个字符
  • 字符类允许: [a-z0-9_-]

所以假设输入字符串input不为空,下面的代码就可以做到这一点:

final String MAX_LENGTH = 64;
//First check is used to avoid exception
(input.length() > MAX_LENGTH ? input.substring(0,MAX_LENGTH) : input)
 .toLowerCase()                 // All alphabetic ascii to lowercase
 .replaceAll("[^a-z0-9_-]","_") // Replace not permitted char with "_"

UPDATE:

We can do better shaping the input string according to the requests of DiskLruCache:

  • Max length: 64 chars
  • Character class allowed: [a-z0-9_-]

So assuming the input string input is not null the code below do the trick:

final String MAX_LENGTH = 64;
//First check is used to avoid exception
(input.length() > MAX_LENGTH ? input.substring(0,MAX_LENGTH) : input)
 .toLowerCase()                 // All alphabetic ascii to lowercase
 .replaceAll("[^a-z0-9_-]","_") // Replace not permitted char with "_"

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