Citus For Scalable Postgresql Systems
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Citus for Scalable PostgreSQL Systems
"Citus for Scalable PostgreSQL Systems" "Citus for Scalable PostgreSQL Systems" is a comprehensive guide designed for engineers, architects, and database administrators seeking to master the art of scaling PostgreSQL beyond single-node limitations. This book opens with a meticulous exploration of PostgreSQL’s foundational architecture, highlighting inherent challenges in scaling traditional relational databases, and then sets the stage by introducing the principles and evolution of Citus as a distributed extension. Readers will gain clarity on distributed data models, the shared-nothing approach, and strategic considerations for when— and when not—to leverage Citus in modern deployments. Delving deep into Citus internals, the book unpacks essential architectural elements such as coordinator and worker nodes, sharding mechanisms, and efficient data distribution strategies. It offers actionable guidance on end-to-end deployment: from on-premise to cloud-native and managed cluster setups, complete with best practices for security, networking, provisioning, and advanced container orchestration. For practitioners tackling demanding workloads, detailed chapters on schema design, distributed query execution, real-time data ingestion, and analytical processing illuminate the nuances of high-performance, large-scale PostgreSQL systems powered by Citus. Further, the narrative extends to address the operational lifecycle: high availability, fault tolerance, and day-two operations, including shard rebalancing, maintenance, and cost optimization. Security and compliance are covered exhaustively, with recommendations for access controls, auditing, and tenant isolation. Shaped by real-world case studies and emerging trends, "Citus for Scalable PostgreSQL Systems" is both a technical playbook and an industry roadmap, empowering data professionals to build resilient, elastic, and future-proof PostgreSQL clusters.
Distributed Applications and Interoperable Systems
This book constitutes the refereed proceedings of the 21st IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems, DAIS 2021, held in Valletta, Malta, in June 2021, as part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021. The 7 regular papers and 3 short papers presented in this book were carefully reviewed and selected from 15 submissions. DAIS addresses all practical and conceptual aspects of distributed applications, including their design, modeling, implementation and operation, the supporting middleware, appropriate software engineering methodologies and tools, as well as experimental studies and applications.
Learning PostgreSQL 11
Author: Salahaldin Juba
language: en
Publisher: Packt Publishing Ltd
Release Date: 2019-01-31
Leverage the power of PostgreSQL 11 to build powerful database and data warehousing applications Key FeaturesMonitor, secure, and fine-tune your PostgreSQL 11 databaseLearn client-side and server-side programming using SQL and PL/pgSQLDiscover tips on implementing efficient database solutionsBook Description PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions. What you will learnUnderstand the basics of relational databases, relational algebra, and data modelingInstall a PostgreSQL server, create a database, and implement your data modelCreate tables and views, define indexes and stored procedures, and implement triggersMake use of advanced data types such as Arrays, hstore, and JSONBConnect your Python applications to PostgreSQL and work with data efficientlyIdentify bottlenecks to enhance reliability and performance of database applicationsWho this book is for This book is for you if you're interested in learning about PostgreSQL from scratch. Those looking to build solid database or data warehousing applications or wanting to get up to speed with the latest features of PostgreSQL 11 will also find this book useful. No prior knowledge of database programming or administration is required to get started.