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Oracle to PostgreSQL SQL Conversion Guide: Real-World Examples for DBAs

Complete Syntax Mapping, Function Conversion, and PL/SQL to PL/pgSQL Migration

📅 February 06, 2026

👤 Chetan Yadav - Senior Oracle & PostgreSQL DBA

⏱️ 22-24 min read

⏱️ Estimated Reading Time: 22–24 minutes

🔄 Oracle → PostgreSQL - Real Production SQL Conversions with Before/After Examples

We had 847 stored procedures written in Oracle PL/SQL. The CTO announced we were moving to PostgreSQL to cut licensing costs by $200,000 annually. The migration deadline was three months away.

I spent the first week manually converting procedures. At that pace, I'd finish in 18 months. That's when I realized: most Oracle-to-PostgreSQL conversions follow predictable patterns. Once you know these patterns, conversion becomes systematic, not guesswork.

Oracle to PostgreSQL migration isn't about rewriting everything from scratch. 70-80% of SQL works with minor syntax adjustments. The remaining 20-30% requires understanding key differences in how each database handles data types, functions, and procedural logic.

This guide covers real production SQL conversions from Oracle to PostgreSQL. If you're an Oracle DBA planning a PostgreSQL migration, these are the patterns, gotchas, and solutions that actually work.

GCP AlloyDB Performance Tuning Guide: Oracle 19c Comparison for DBAs (2026)

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GCP AlloyDB Performance Tuning Guide: Oracle 19c DBAs' Complete Migration Handbook

What Works, What Doesn't, and What Performance Surprises to Expect

📅 February 03, 2026

👤 Chetan Yadav - Senior Oracle & Cloud DBA

⏱️ 18-20 min read

⏱️ Estimated Reading Time: 18–20 minutes

🚀 GCP AlloyDB vs Oracle 19c - Performance Tuning from a Veteran DBA's Perspective

Three months after our team moved a critical Oracle 19c OLTP system to GCP AlloyDB, the CFO asked in the quarterly review, "Are we seeing the 4x performance improvement Google promised?"

I had the AWR reports from Oracle and the performance metrics from AlloyDB. Same queries, same data volume, same transaction load. The answer was more nuanced than a simple yes or no.

Some queries ran 6x faster in AlloyDB. Others ran slower. The difference wasn't the database—it was understanding which PostgreSQL-based optimizations AlloyDB uses and how they compare to Oracle's approach.

This guide is what I learned comparing Oracle 19c performance tuning to GCP AlloyDB in production. If you're an Oracle DBA evaluating AlloyDB, this covers the performance differences that actually matter.

Patroni Failover Testing: The Part Everyone Skips (Until Production Breaks)

⏱️ Estimated Reading Time: 11-12 minutes

Patroni Failover Test Scripts (Part 2 of the Patroni Series)

Your Patroni cluster looks healthy. Primary is up, replicas are streaming, and applications are connected. But the real question is simple: have you ever tested failover?

In production, untested failover is worse than no failover. A broken promotion, stale replication slot, or delayed leader election can turn a simple node crash into minutes of complete outage.

This guide provides real Patroni failover test scripts used by production DBAs to validate leader election, replica promotion, and client recovery — before incidents happen.

⏱️ Estimated Reading Time: 11-12 minutes

Patroni Test Lab Setup Guide

At 1:20 AM, your primary PostgreSQL node goes down. Applications freeze, connection pools exhaust, and failover doesn’t happen. The problem is not PostgreSQL — it’s the lack of a tested HA setup.

In production, PostgreSQL without a proven failover mechanism becomes a single point of failure. Downtime leads to transaction loss, SLA breaches, and emergency firefighting during peak hours.

This guide walks you through building a Patroni-based PostgreSQL HA test lab that behaves like production — allowing you to test leader election, failover, and recovery safely before going live.