Ming Ying: Making COUNTs and the Rest of Search Really Fast (Part II)
How ctid-aware segment partitioning, an inverted DocId map, and bitmap postings accelerated ParadeDB's Wikipedia COUNT queries—then a look at the rest of search, where ParadeDB delivered 10–22x TIN's throughput on filtered and time-sorted Hacker News queries.
Executive Summary
How ctid-aware segment partitioning, an inverted DocId map, and bitmap postings accelerated ParadeDB's Wikipedia COUNT queries—then a look at the rest of search, where ParadeDB delivered 10–22x TIN's throughput on filtered and time-sorted Hacker News queries.
Database Engine & Storage Subsystem Architecture
From an OLTP/OLAP systems architecture, storage tiering, and data durability perspective: - **Zero-Vendor Lock-in Formats:** Leveraging open specifications (e.g. Parquet, Iceberg) ensures multi-engine interoperability without ingestion lock-in. - **Vector & In-Memory Throughput:** Modern memory layouts and SIMD-accelerated execution pipelines minimize latency in real-time retrieval. - **Distributed Resiliency:** Decoupled storage and compute layers enable elastic horizontal scaling with strict ACID guarantees.
Impact on the Open Ecosystem
Empowers data engineers with open, self-hosted alternatives to monopolistic cloud database providers.