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Course Outline

1. Introduction to Distributed PostgreSQL

  • Scaling challenges associated with single-node PostgreSQL installations
  • Overview of the Citus extension: purpose, architecture, and key components
  • Core concepts: coordinator nodes, worker nodes, metadata, and distribution keys

2. Cluster Architecture and Setup

  • Node types: distinguishing between coordinators and workers
  • Table types: distributed, replicated, and local tables
  • Installing and configuring Citus within existing PostgreSQL environments
  • Cluster discovery and node management techniques

3. Data Distribution and Sharding Strategies

  • Sharding methods: hash-based versus append-based approaches
  • Selecting a distribution column to ensure optimal performance
  • Managing distributed and replicated tables
  • Re-balancing shards and scaling out the cluster

4. Distributed Query Execution and Optimisation

  • Mechanisms by which Citus routes and parallelises queries
  • Understanding distributed query plans
  • Query pushdown and execution optimisation techniques

5. Consistency, Transactions and Fault Tolerance

  • Two-Phase Commit (2PC) and atomic operations
  • Handling failures within distributed transactions

6. Operational Management and Use Cases

  • Monitoring tools and views specific to Citus
  • Maintenance procedures and upgrades in distributed environments

Requirements

  • Completion of the Advanced Administration (High Availability & Replication) course or equivalent practical experience
  • Robust knowledge of PostgreSQL configuration and performance tuning
  • Familiarity with Linux operating systems and fundamental network concepts

Audience

This course is designed for experienced Database Administrators, DevOps Engineers, and System Architects who currently manage production PostgreSQL environments and require methods to scale them horizontally.

 7 Hours

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