Every story tagged Data Querying, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
1 story · open in the command center
DuckDB's query optimization for paginating large Parquet files through APIs can be 2.5x faster by explicitly using file_row_number predicates instead of OFFSET, but the real benefit lies in avoiding catastrophic performance degradation on deep pagination—however, this optimization critically depends on how the Parquet file is structured (multiple row groups rather than one giant block). IT organizations should understand that DuckDB automatically applies these optimizations internally for OFFSET queries up to 1 million rows, but controlling row group size at data write time offers more value than query-level optimization, making data pipeline architecture decisions more important than query tuning.