SharePoint Search之(七)Search result- 结果源

本文介绍了在SharePoint 2013中如何使用和配置Search Result Source以限定搜索范围。Search Result Source允许管理员按级别设定,如在Search Service Application、Site Collection或Site级别,以提供更精确的搜索结果。通过举例说明,展示了如何创建一个只包含特定Library文档的Result Source,涉及步骤包括添加Result Source、选择Protocol和Type、构建Query Transform等。在配置过程中可能会遇到的错误及解决方法也进行了简要说明。

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在使用搜索引擎的时候,很多情况下,用户希望限定一下搜索范围,以便更加容易找到想要的结果。


在SharePoint 2013的search里,也支持类似的功能,SharePoint 默认提供了几种范围:

在SharePoint,这个叫Search Navigation, SharePoint提供了灵活的接口,可以让管理员添加自定义的类别。每一个类别后面,对应一个Result Source,因此先了解一下Result Source。

 

根据用户的权限级别,Result source 可以在Search Service Application,Site Collection,Site级别被设定。不同级别设定的ResultSource 作用域也不同。在Search Service Application级别设定的Result Source,可以在所有关联这个SearchService Application的Web Application里面使用,而Si

### Search Server Technology Information Search servers play a critical role in modern applications by providing powerful search capabilities over large datasets. In the context of web development frameworks like Django, integrating Elasticsearch can significantly enhance an application's ability to handle complex queries efficiently[^1]. Elasticsearch is not only about searching text but also supports advanced features such as full-text search, structured search, analytics, and more. This makes it suitable for various scenarios where fast data retrieval and analysis are required. For organizations looking to improve their internal communication and knowledge management systems, technologies similar to SharePoint Server offer robust solutions. These platforms provide comprehensive tools for managing documents, automating workflows, and delivering personalized experiences based on user behavior and preferences[^3]. In terms of architecture, a typical search server setup involves several key components: - **Indexing Engine**: Responsible for parsing input data into searchable formats. - **Query Processor**: Handles incoming requests from clients or other services. - **Storage Layer**: Stores indexed data along with metadata needed for efficient querying. - **API Gateway**: Provides interfaces for external access while abstracting underlying complexities. To implement these functionalities effectively within enterprise environments, considerations around scalability, performance optimization, security measures must be addressed appropriately. ```python from elasticsearch import Elasticsearch es = Elasticsearch() def create_index(index_name): es.indices.create(index=index_name) def add_document(index_name, doc_type, document_id, body): res = es.index(index=index_name, id=document_id, body=body) print(res['result']) create_index('test-index') add_document('test-index', '_doc', 1, {'title': 'Test Document'}) ```
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