1. Advanced Table Partitioning

We specialize in implementing PostgreSQL native partitioning, customized to fit Odoo’s data models and access patterns:

• Range Partitioning based on dates (e.g., monthly or yearly partitions for sales or accounting records)
• List Partitioning to segregate data by company, region, or business unit
• Hash Partitioning for distributing data evenly across partitions in write-heavy scenarios

This approach reduces the size of individual tables, allowing faster scans, quicker index lookups, and improved maintenance.

2. Efficient Archival and Data Lifecycle Management

We design automated archival solutions that:

• Seamlessly move historical or inactive data out of the primary tables to archive partitions or external databases
• Allow easy restoration and querying of archived data without affecting day-to-day operations
• Maintain a lean, high-performance active dataset, resulting in faster Odoo workflows and reduced system load

3. Query and Index Optimization for Partitioned Tables

We analyze your slow-running queries and optimize them by:

• Creating partition-aware indexes that improve query planner efficiency
• Adjusting PostgreSQL planner settings to leverage partition pruning and constraint exclusion
• Rewriting ORM queries with custom SQL or materialized views for complex reporting needs

4. Seamless Odoo ORM Integration

We address the challenges of integrating PostgreSQL partitioning with Odoo’s ORM by:

• Extending Odoo models to transparently read from and write to partitioned tables
• Ensuring compatibility with Odoo’s search, filter, and computed field mechanisms
• Preventing full-table scans by modifying ORM-generated queries to take advantage of partition pruning