Tablestore provides match query and match phrase query for full-text search. Queries match data based on tokens and can highlight matched keywords in results.
Background information
When you create a search index, you can specify a Tokenization method for Text fields. The default is single-word tokenization.
Data query
Full-text search supports the following query features.
|
Feature |
Description |
Scenario |
|
Searches for data containing a keyword based on approximate matches. Tablestore tokenizes Text field values and query keywords using the specified method, then matches based on tokens. |
Big data analytics, content search, knowledge management, social media analysis, log analysis, intelligent Q&A systems, and compliance review. |
|
|
Searches for data containing a keyword where tokens appear in a specific order based on approximate matches. A row matches only when its token order and positions match those in the tokenized keyword. |
Big data analytics, content search, and intelligent recommendation. |
Data processing
Full-text search supports the following data processing features.
|
Feature |
Description |
|
Highlights text that matches or relates to the query strings in search results, helping users quickly locate the query strings. |