PostgreSQL for SQL Server DBAs – Distributed Availability Group in PostgreSQL

PostgreSQL for SQL Server DBAs - Can we implement a Distributed Availability Group in PostgreSQL Replication?

PostgreSQL does not have a native "Distributed Availability Group" feature like SQL Server. However, similar functionality can be implemented using logical replication, physical replication, or third-party tools for multi-cluster or distributed setups.

Below is a guide to implementing a distributed availability-like group in PostgreSQL, ensuring replication across clusters in different locations:

1. Define the Architecture

Distributed availability requires:

  • Primary Cluster: The main cluster that handles writes.
  • Replica Clusters: Secondary clusters in other locations (read-only or with logical replication for distributed writes).

2. Implementing the Distributed Availability Group

2.1 Logical Replication (Distributed Writes)

Logical replication allows row-level changes (inserts, updates, deletes) to replicate between clusters.

Steps:

  1. Enable Logical Replication:
    • Modify postgresql.conf on both primary and replica clusters:

    • Restart the PostgreSQL server:
  1. Create a Publication on the Primary Cluster:
    • On the primary cluster:

    • Alternatively, select specific tables:

  1. Create a Subscription on the Replica Cluster:
    • On the replica cluster:

  1. Verify Replication:
    • Check the subscription status:

2.2 Physical Replication (Read-Only Replicas)

Physical replication replicates entire database clusters at the block level.

Steps:

  1. Enable Physical Replication:
    • Configure the primary cluster in postgresql.conf:

    • Create a replication user on the primary cluster:

  1. Set Up a Standby Cluster:
    • On the replica server, initialize the data directory using pg_basebackup:

  1. Configure recovery.conf on the Replica:
    • Set up the replica cluster for streaming:

  1. Start the Replica Cluster:
    • Start PostgreSQL on the replica server:


3. Advanced Multi-Cluster Setup

3.1 Cross-Cluster Logical Replication

  • Set up logical replication between multiple clusters for specific tables or workloads.
  • Example: Cluster A replicates transactions to Cluster B, while Cluster B replicates analytics back to Cluster A.

3.2 Third-Party Tools for Distributed Availability Groups

  • Bucardo: Multi-master replication tool for PostgreSQL.
  • Citus: Distributes tables across nodes for high availability and distributed transactions.

3.3 Connection Pooling Across Clusters

  • Use a tool like pgpool-II or HAProxy to distribute connections and provide failover between primary and replica clusters.

4. Conflict Resolution in Distributed Writes

  • Logical Replication Conflict Resolution:
    • Implement triggers or custom logic to handle update conflicts between clusters.
  • Bi-Directional Replication (BDR):
    • Use PostgreSQL BDR for native conflict detection and resolution.
    • Guide: BDR Documentation

5. Monitoring and Failover

5.1 Monitoring:

  • Use pg_stat_replication to monitor physical replication:

  • Use pg_stat_subscription for logical replication:

5.2 Automated Failover:

  • Use tools like Patroni or pg_auto_failover to automate failover between clusters.

6. Example Use Case

  • Cluster A (Primary): Handles all write transactions.
  • Cluster B (Replica): Processes read-heavy workloads using physical replication.
  • Cluster C (Distributed Writes): Replicates specific tables back to Cluster A for analytics and reporting.

7. Summary

Feature Implementation
Logical Replication Native PostgreSQL
Physical Replication Streaming Replication
Multi-Master Replication Bucardo or BDR
Distributed Transactions Citus
Failover Automation Patroni or pg_auto_failover

This architecture provides a robust and distributed system similar to an availability group in PostgreSQL, ensuring high availability, scalability, and failover capabilities.


DISCLAIMER: The information provided in this article represents MinervaDB Inc.'s technical perspective based on our experience with PostgreSQL and SQL Server database technologies. While we strive to ensure accuracy, database architectures and implementations can vary significantly based on specific use cases and requirements. The comparisons and solutions discussed here may not be suitable for all environments. We recommend thorough testing and consultation with database experts before implementing architectural changes in your production environment. PostgreSQL and SQL Server are rapidly evolving technologies, and the features discussed may change with newer versions.


© 2024 Shiv Iyer and MinervaDB Inc. All rights reserved.

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About Shiv Iyer 496 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.