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AWS Database Blog0 Hot0 comments12 min read
Migrate multilingual full-text search from SQL Server to PostgreSQL
Migrating full-text search from SQL Server to Aurora PostgreSQL or Amazon RDS for PostgreSQL can silently change search results because the two engines handle collation, tokenization, and accents differently. The guide compares SQL Server's collation, stoplists, and thesaurus XML approach with PostgreSQL's text search configurations, ICU collations, and the unaccent and pg_bigm extensions. It walks through language-specific tokenization for eight languages, accent-insensitive search setup, synonym expansion via custom functions, indexing and performance considerations (GIN vs GiST, autovacuum, partitioning), known limitations (no file-based dictionaries, compound-word handling, Arabic/Hebrew stemming gaps), and a migration checklist covering collation review, dictionary mapping, query rewriting, and validation.
Source: https://aws.amazon.com/blogs/database/migrate-multilingual-full-text-search-from-sql-server-to-postgresql. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
