OceanBase
Official@oceanbase · Singapore
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads
Agent Skills by OceanBase
Showing 16 vetted skills indexed across 2 GitHub repositories.
backup-archive-restore-troubleshooting
Diagnose OceanBase backup, archive, and restore failures with structured phases.
obdiag-usage
Guide users through obdiag agent tools for configuration, data collection, analysis, and RCA.
oceanbase-source-analysis
Extract evidence from OceanBase community source code to validate error codes and runtime behavior.
obdiag-performance
Aggregates ASH, sysstat, disk IO and flame graphs to identify OceanDB bottlenecks.
obdiag-triage
Coordinate full-cluster triage workflows for unknown OceanBase issues.
observer-storage-space-troubleshooting
Diagnose storage-space issues in Observer log disks, data disks, and archive processes.
observer-sql-analysis
Analyze a single SQL's performance, plan, trace, and locks in OceanBase.
obdiag-check-rca
Map user-described symptoms to RCA scenes and orchestrate cluster health check workflows.
obdiag-rca
Automate OceanBase cluster root-cause analysis with a standard SOP.
oceanbase-knowledge
Retrieve OceanBase documentation, parameter meanings, and architecture concepts.
oms-kafka-performance
Diagnose and tune OceanBase OMS-to-Kafka replication latency and throughput bottlenecks.
obproxy-log-analysis
Gather, unpack, and analyze OBProxy diagnosis, error, and slow logs.
obdiag-multi-cluster
Discover obdiag cluster profiles and switch the active session via cluster_config_path.
obproxy-routing-troubleshooting
Diagnose OBProxy routing and connection configuration issues across deployments.
observer-log-analysis
Analyze OceanBase observer, election, and rootservice logs to determine root causes.
oceanbase-design-usage
Standardize OceanBase Design adoption with ConfigProvider, design tokens, and codemod migrations.
Frequently Asked Questions About OceanBase
FAQPage SchemaWhat specific database tasks can be performed using these diagnostic capabilities?▼
These capabilities enable deep-dive analysis of SQL execution plans, distributed transaction tracing, and storage-space health monitoring. Users can perform root-cause analysis on cluster-wide failures, tune replication latency between OMS and Kafka, and validate runtime behavior by correlating error codes directly against source code evidence.
Which technical personas are the primary users of these diagnostic skills?▼
Database administrators, site reliability engineers, and backend infrastructure engineers are the primary users. These professionals utilize the diagnostic suite to manage high-concurrency distributed environments, resolve complex routing issues within OBProxy, and maintain cluster stability through systematic log analysis and performance metric aggregation.
What are the prerequisites for executing cluster-wide diagnostic procedures?▼
Successful execution requires a configured cluster environment with active obdiag connectivity. Users must have access to the cluster configuration path, appropriate log directory permissions for observer and proxy nodes, and the ability to map reported symptoms to specific root-cause analysis scenes defined within the diagnostic framework.