1. Identify Parallel-Ready Queries

• We examine your most demanding Odoo queries to find candidates for parallel execution—typically involving large tables, joins, and aggregations.
• Common use cases include:
  

  1. Sales and inventory reports

  2. Multi-dimensional financial summaries

  3. Batch operations on large datasets

2. Tune PostgreSQL for Parallelism

• Adjust critical system parameters to unlock PostgreSQL’s parallel processing power:
  

  1. max_worker_processes

  2. max_parallel_workers_per_gather

  3. parallel_setup_cost and parallel_tuple_cost

• Tailor these settings to your hardware resources and Odoo workload patterns to ensure optimal performance without overloading the system.

3. Restructure Queries for Better Distribution

• Modify and refactor queries to better utilize PostgreSQL’s parallel query planner.
• Introduce materialized views, partitioned tables, and parallel-safe functions where necessary.