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Features Map – Instantly Search Terabytes
| Search Site with dtSearch | ||
| Advanced Web Demo |
Faceted Search and Data Classification
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SQL, NoSQL, Disk Images, Data Streams and Other Non-File Data
- The dtSearch Engine DataSource API supports indexing of SQL-type databases, NoSQL-type databases, disk images, network data streams, etc.
- Developers, please start with the first article under Databases and Field Searching at Selected Articles by Subject.
- Please also review all of the other articles under the Databases and Field Searching section of Selected Articles by Subject.
- Topics include faceted search, advanced data classification and much more. [last two should link to items below on page]
- A “Getting Started” database indexing tutorial is also available among the I-Programmer articles.
I‑Programmer dtSearch and C# series:
• “Getting Started” • “Threading” • “Hit Highlighting” • “Database Indexing” • “Document Caching”
The dtSearch product line can index SharePoint data in three ways:
- First, using the dtSearch Spider (available as an"off the shelf" component in dtSearch Desktop/Network/Web).
- Second, through a .NET Spider API for dtSearch Engine developers. More information
- Third, also for developers, through the dtSearch Engine DataSource API.
CodeProject: dtSearch’s "DataSource API for indexing SharePoint Site Collections" - A new CodeProject article demonstrates DataSource API C# indexing using the SharePoint server API.
- Additional sample C# code demonstrating how to use the DataSource API to connect with the SharePoint client API. More information
- Faceted search is an option for classifying data at the user interface level. Using faceted search, the end-user can “drill down” through various topics to hone in on the correct topical subset prior to performing a search.
- The dtSearch Engine offers APIs to implement faceted search.
- CodeProject also has two articles on faceted search and the dtSearch Engine.
- An ASP.NET Core demo showing faceted search and multicolor hit-highlighting is available here. Please select SEC Filings to see the faceted search portion of the demo.
Additional API Options for Data Classification
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Crossing the Full-Text Search
/ Fielded Data Divide from a Development Perspective |
- While faceted search typically operates at the user interface level, the dtSearch Engine also offers additional options for data classification for filtering data prior to search results delivery.
- A wide range of API filters and objects can categorize documents and other data via full-text document contents, document metadata content, backend database content, or data attributes attached during document indexing.
- For example, search filter objects work in conjunction with end-user query dialects to allow multiple users with different security classifications to search the same document collection, without having to maintain separate indexes corresponding to each classification level.
- A single query can include an “exact phrase” full-text end-user search request; second-level Boolean search expressions (such as one or more field or metadata search criteria); and developer-added filtering expressions (such as a filtering expression to filter out documents that do not match a user’s security classification).
- For more information on database indexing, adding metadata "on the fly" while indexing, API-driven sorting and relevancy-ranking options, and displaying a synopsis or other metadata in search results, see the Databases and Field Searching topic and the Displaying Search Results topics in Selected Articles by Subject.