This guide explains the end‑to‑end workflow for constructing a distributed scalar index in Lance by orchestrating validation, fragment sharding, worker‑level indexing via Ray, and final metadata merging, complete with code snippets and detailed step‑by‑step instructions.
The September 2022 China Database Industry Analysis report highlights a wave of hardware‑driven innovations—including multi‑core CPUs, heterogeneous GPUs/TPUs/DPU, programmable FPGAs, CXL‑DDR5, persistent memory, NVMe‑oF, and RDMA‑based storage—that enable massive data storage and high‑concurrency real‑time computing across a range of novel database architectures and products.
The article describes the design, architecture, and key components of a vector search platform built on Faiss that supports full‑index construction, incremental and distributed indexing, online retrieval, city‑level search, and vector update/delete operations to meet large‑scale AI application needs.
The article explains how traditional centralized backup indexes become performance bottlenecks as data grows, and details Simpana's two‑level distributed indexing architecture—primary and secondary indexes—showing how it enhances backup speed, reduces network load, and simplifies recovery across multi‑site environments.
