Microsoft's Extended RUM Index in DocumentDB for PostgreSQL Improves ESR Query Performance
By
Franck Pachot
Summary
Microsoft has fixed a limitation in the DocumentDB extension for PostgreSQL by introducing an Extended RUM index that preserves key ordering, enabling ordered scans instead of bitmap scans for efficient ESR (Equality, Sort, Range) queries. The article revisits pagination queries to demonstrate the performance improvements of this new indexing approach compared to the previous RUM index implementation.
Source
bskyMicrosoft's Extended RUM Index in DocumentDB for PostgreSQL Improves ESR Query Performancedev.toKey quotes
· 3 pulledLast year, I examined RUM indexes within this series on multi-key indexing, demonstrating that they cannot substitute MongoDB's compound indexes for sorted queries.
A year later, Microsoft has fixed this in the DocumentDB extension for PostgreSQL with an Extended RUM index that preserves the ordering of the keys, allowing an ordered scan rather than a bitmap scan.
Let's revisit our pagination query to see how it performs now.
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