Author: Cary Huang

Enterprise PostgreSQL Solutions

Cary Huang

Cary is a Senior Software Developer in HighGo Software Canada with 8 years of industrial experience developing innovative software solutions in C/C++ in the field of smart grid & metering prior to joining HighGo. He holds a bachelor degree in Electrical Engineering from University of British Columnbia (UBC) in Vancouver in 2012 and has extensive hands-on experience in technologies such as: Advanced Networking, Network & Data security, Smart Metering Innovations, deployment management with Docker, Software Engineering Lifecycle, scalability, authentication, cryptography, PostgreSQL & non-relational database, web services, firewalls, embedded systems, RTOS, ARM, PKI, Cisco equipment, functional and Architecture Design.

1. Introduction Recently, I have had an opportunity to perform some in-depth feasibility study in-memory table using PostgreSQL’s pluggable storage API. The pluggable storage API was introduced Since PostgreSQL v12 and it allowed custom table storage Access Methods (AM for

1. Introduction PostgreSQL backend is a collection of processes forked from the main process called Postmaster. Each forked process has different roles and responsibilities in the backend. This article describes the responsibility of core backend processes that power the PostgreSQL

1. Overview Postgres is a huge database system consisting of a wide range of built-in data types, functions, features and operators that can be utilized to solve many common to complex problems. However, in the world full of complex problems,

1. Overview Table partitioning is introduced after Postgres version 9.4 that provides several performance improvement under extreme loads. Partitioning refers to splitting one logically large table into smaller pieces, which in turn distribute heavy loads across smaller pieces (also known

Introduction On November 17-20, 2020, PostgresConf.CN & PGconf.Asia2020 (referred to as 2020 PG Asia Conference) was held online for the very first time! This conference was jointly organized by the PG China Open Source Software Promotion Alliance, PostgresConf International Conference