Elastic search 2.0 类似查询的搜索 [英] Elastic search 2.0 search like query

问题描述

这是我的模型:

[ElasticsearchType(Name = "projectmodel")]
public class ProjectModel
{          
    public string name { get; set; }
    public string description { get; set; }
    [Nested]
    [JsonProperty("taskmodels")]
    public List<TaskModel> taskmodels { get; set; }
}

public class TaskModel
{       
    public string title { get; set; }
    public string description { get; set; }
}

我使用以下代码在主对象和嵌套对象中进行搜索.

I use the following code for search inside the main object and nested object.

        var searchResults = client.Search<ProjectModel>(
            body => body.Query(
                query => query.Bool(
                    bq => bq.Should(
                        q => q.Match(p => p.Field(f => f.name).Boost(6).Query(keyword)),                            
                        q => q.Match(p => p.Field(f => f.description).Boost(6).Query(keyword)),
                            sh => sh.Nested(n => n.Path(p => p.taskmodels).Query(nq => nq.Match(
                                m => m.Query(keyword).Field("taskmodels.description")

                                )
                            )
                            ),
                            sh => sh.Nested(n => n.Path(p => p.taskmodels).Query(nq => nq.Match(
                                m => m.Query(keyword).Field("taskmodels.title")

                                )
                            )
                            )
                        )

                    )
                ).Size(MAX_RESULT)
            );

这可以毫无问题地搜索对象.但我需要输入 searchText 的确切单词才能得到结果.

This searches the object without any issue. But I need to enter the exact word for searchText to get the result.

例如:名称-科学与技术"

As an example: name - "Science and technology"

如果我用技术搜索，它会返回记录.但是如果我用 techno 搜索，它没有返回记录.我该如何解决这个问题?

If I search with technology, It returns the record. But If I search with techno, It did not return the record. How can I fix this issue?

推荐答案

您可以添加 match_phrase_prefix 查询您的字段.

You can add match_phrase_prefix query on on your field.

Match_phrase_prefix 将获取搜索查询中的最后一个标记并对其进行短语前缀匹配.令牌的顺序很重要.如果要搜索文本中的任何位置，则需要创建 n-grams 和 edge_grams of tokens

Match_phrase_prefix will take last token in your searchquery and do a phrase prefix match on it. Order of tokens is important. If you want to search anywhere in the text, then you will need to create n-grams and edge_grams of tokens

var searchResults = _elasticClient.Search<ProjectModel>(
            body => body.Query(
                query => query.Bool(
                    bq => bq.Should(
                        q=> q.MatchPhrasePrefix(p=>p.Field(f=>f.name).Query(keyword)) --> note
                        q => q.Match(p => p.Field(f => f.name).Boost(6).Query(keyword)),
                        q => q.MatchPhrasePrefix(p => p.Field(f => f.description).Boost(6).Query(keyword)),
                            sh => sh.Nested(n => n.Path(p => p.taskmodels).Query(nq => nq.Match(
                                m => m.Query(keyword).Field("taskmodels.description")

                                )
                            )
                            ),
                            sh => sh.Nested(n => n.Path(p => p.taskmodels).Query(nq => nq.Match(
                                m => m.Query(keyword).Field("taskmodels.title")

                                )
                            )
                            )
                        )

                    )
                ).Size(MAX_RESULT)
            );

匹配、匹配短语和匹配短语前缀的区别

Different between match, matchphrase and matchphraseprefix

假设有一个字段为description"的文档:science and technology"这段文字被分成单独的标记 ["science" ,"and","technology"] 并在倒排索引中串起来.

Suppose there is a document with field "description" : "science and technology" This text is broken in separate tokens ["science" ,"and","technology"] and stred in inverted index.

如果要查找科技"，可以使用匹配查询.因为单词的匹配顺序无关紧要，所以当你搜索技术科学"时你也会得到文档.它只是匹配令牌.

If you want to look for "science technology" , you can use match query. For match order of words don't matter , so you will also get document when you search for "technology science". It just matches tokens.

如果订单对您很重要，则使用 match_phrase "science and technology" only 将返回文档.

If order matters for you then use match_phrase "science and technology" only will return the document.

如果您想搜索部分句子science and techno"，请使用 match_phrase_prefix .前缀匹配仅在最后一个标记上执行，因此您无法搜索scie and techno".为此，还有其他选项，如 edge-ngrams 和 ngrams

If you want to search for partial sentence "science and techno" then use match_phrase_prefix . Prefix match is only performed on last token so you cannot search for "scie and techno". For this there are other options like edge-ngrams and ngrams

这篇关于Elastic search 2.0 类似查询的搜索的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！