Migrate full-text search from SQL Server to Amazon Aurora PostgreSQL-compatible edition or Amazon RDS for PostgreSQL
Database Blog
This article discusses how to migrate full-text search capabilities from SQL Server to Amazon Aurora PostgreSQL or Amazon RDS for PostgreSQL. Key highlights include:
- PostgreSQL offers multiple full-text search options using built-in functions like tsvector and tsquery
- Migration requires manual rewriting of queries due to different implementation approaches
- Performance can be improved using:
- GIN indexes
- Stored generated columns
- pg_trgm extension for trigram-based searching
- pg_bigm extension for bigram-based searching
- Demonstrates converting SQL Server full-text search queries like CONTAINS, FREETEXT, and FREETEXTTABLE to equivalent PostgreSQL syntax
- Provides examples of ranking and searching text using different PostgreSQL text search configurations
The article serves as a comprehensive guide for database administrators and developers migrating full-text search functionality from SQL Server to PostgreSQL-based AWS database services.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Apr 6
2026
2026
Optimize full-text search in Amazon RDS for MySQL and Amazon Aurora MySQL
Aug 20
2026
2026
Migrate multilingual full-text search from SQL Server to PostgreSQL
Oct 28
2025
2025
Migrate Oracle reference partitioned tables to Amazon RDS or Aurora PostgreSQL with AWS DMS
Jan 5
2024
2024
Migrate SQL Server indexed views to materialized views in Amazon Aurora PostgreSQL or Amazon RDS for PostgreSQL
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.