Tag

push-mode

0 views collected around this technical thread.

Go Programming World
Go Programming World
Mar 17, 2025 · Fundamentals

Exploring Go's //go:linkname Directive and Its Pull, Push, and Handshake Modes

This article explains the Go //go:linkname compiler directive, showing how it can link exported and unexported symbols across packages using Pull, Push, and Handshake modes, provides code examples, discusses safety considerations, and offers guidance for using the directive in Go 1.23 and later.

GoLinknameUnsafe
0 likes · 13 min read
Exploring Go's //go:linkname Directive and Its Pull, Push, and Handshake Modes
DataFunTalk
DataFunTalk
Dec 11, 2023 · Databases

Interview with Wu Li on Columnar Storage, JIT Compilation, and Push Mode in Modern Database Systems

The interview with Wu Li, a research engineer at Shanghai Yanhuang Data, explores how columnar storage, JIT compilation, and push-mode processing are reshaping modern database performance, highlighting hardware constraints, software optimizations, and product‑centric goals in the era of big data analytics.

JIT compilationOLAPcolumnar storage
0 likes · 11 min read
Interview with Wu Li on Columnar Storage, JIT Compilation, and Push Mode in Modern Database Systems
DataFunSummit
DataFunSummit
Dec 10, 2023 · Databases

Interview with Wu Li on Database Evolution: Columnar Storage, JIT Compilation, and Push Mode

In this technical interview, Wu Li, a research engineer at Shanghai Yanhuang Data, explains how hardware constraints drive database evolution, why columnar storage and SIMD acceleration are crucial for OLAP, and how JIT compilation and push‑mode processing improve query performance and product experience.

Data EngineeringJIT compilationOLAP
0 likes · 10 min read
Interview with Wu Li on Database Evolution: Columnar Storage, JIT Compilation, and Push Mode
DataFunTalk
DataFunTalk
Dec 8, 2023 · Databases

Interview with Wu Li on Database Evolution: Columnar Storage, JIT Compilation, and Push Mode

The article presents an interview with Wu Li, a research engineer at Shanghai Yanhuang Data, discussing how hardware limits have driven database evolution toward columnar storage, the adoption of Apache Arrow and Gandiva for SIMD‑enabled JIT compilation, and the shift from pull to push processing modes to improve OLAP performance.

Apache ArrowDatabase OptimizationGandiva
0 likes · 10 min read
Interview with Wu Li on Database Evolution: Columnar Storage, JIT Compilation, and Push Mode