SCN Recovery & LogMiner Gap Diagnosis
Simulate Oracle log retention failures, diagnose SCN gaps, and follow recovery playbooks for Debezium on Kubernetes. Covers incremental snapshots, JDBC offset manipulation, and schema history reconstruction.
Oracle Database
Change Data Capture for Oracle Database - comparing LogMiner, XStream, GoldenGate, and trigger-based approaches for real-time data integration.
Oracle CDC is how you get a continuous stream of changes out of an Oracle database and into the rest of your stack. Every insert, update, and delete that gets committed is captured and delivered downstream in near real time - without polling, without triggers, and without touching your application. It's the foundation for real-time analytics feeds, data lake ingestion, microservice event sync, and zero-downtime database migrations.
Oracle gives you several ways to read change data, and they're quite different in cost, latency, and complexity. The right one depends on what license tier you're on, how much latency you can accept, and where the events need to land - a Kafka topic, an Iceberg table, or another database.
Log-based CDC reads Oracle's redo logs directly - the same journal Oracle uses for crash recovery. That means every committed change is captured in order, including hard deletes, with no table scans and no extra load on the primary database. Polling-based approaches miss deletes and put repeated query load on the source; log-based CDC avoids both.
| Method | License | Latency | Best for |
|---|---|---|---|
| LogMiner via Debezium |
Included | Seconds | Open-source CDC, Kafka & HTTP pipelines, cost-sensitive deployments |
| XStream via Debezium |
GoldenGate | Sub-second | Low-latency CDC where GoldenGate license already exists |
| Oracle GoldenGate | GoldenGate | Sub-second | Enterprise replication, zero-downtime migrations, heterogeneous targets |
| Triggers | Included | Synchronous | Simple auditing on low-volume tables; not recommended for high-throughput CDC |
Hands-on tools and research papers covering Oracle CDC in production.
Simulate Oracle log retention failures, diagnose SCN gaps, and follow recovery playbooks for Debezium on Kubernetes. Covers incremental snapshots, JDBC offset manipulation, and schema history reconstruction.
Generate optimised Debezium configurations for Oracle LogMiner. Compare throughput, latency, CPU, and memory profiles with an interactive radar chart and get a ready-to-use application.properties output.
Dashboard covering the full Oracle XStream pipeline: connection pooling lifecycle, JDBC offset and schema history storage, RegexRouter SMT simulation, CloudEvents format, and HTTP sink configuration.
Deep dive into running multiple Debezium Oracle connectors simultaneously. Compares XStream vs LogMiner constraints for same-schema and multi-schema deployments, with Kubernetes HA patterns.
Detailed technical comparison of LogMiner, XStream, GoldenGate, triggers, and Oracle Advanced Queuing as CDC mechanisms.
Handling DDL changes, EBR compatibility, and schema history management in long-running Debezium Oracle CDC deployments.