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oceanbase-sql-optimization

Provides SQL optimization for OceanBase databases including tuning, indexing, execution analysis, and slow-query mitigation across MySQL and Oracle modes.

9|1|Updated Jan 16, 2026
Search Tags:#performance#optimization#sql#execution plan#partition pruning#index design#oceanbase
One-click install
npx skills add https://github.com/amber-moe/oceanbase-doc-skills --skill oceanbase-sql-optimization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oceanbase-sql-optimization
Source: https://github.com/amber-moe/oceanbase-doc-skills/tree/main/skills/oceanbase-sql-optimization
Command: npx skills add https://github.com/amber-moe/oceanbase-doc-skills --skill oceanbase-sql-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides actionable guidance to optimize OceanBase SQL queries, helping DBAs and developers reduce latency and resource consumption.

Core Features & Use Cases

  • Execution plan analysis: Interpret EXPLAIN outputs to identify bottlenecks, partition pruning, and index utilization.
  • Index & partition design: Recommend indexing strategies and partitioning schemes tailored to OceanBase MySQL and Oracle modes.
  • Query rewriting & best practices: Suggest rewriting queries to leverage indexes, minimize full scans, and avoid expensive operations.
  • Use Case: For a heavy SELECT workload on a large orders table, apply the skill to improve plan quality and reduce execution time.

Quick Start

Use the oceanbase-sql-optimization skill to review a sample query with EXPLAIN, then apply recommended changes (indexes, partitioning, and rewritten predicates) and re-run EXPLAIN to confirm improvements.

Frequently Asked Questions about oceanbase-sql-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze an OceanBase execution plan to fix slow SQL queries?▼

Analyze OceanBase execution plans by interpreting EXPLAIN outputs to identify bottlenecks, verify partition pruning, and confirm index utilization to mitigate slow SQL queries. This pinpoints exact performance bottlenecks for targeted optimization.

What is the best way to design indexes and partitions for OceanBase MySQL and Oracle modes?▼

The best way to design indexes and partitions for OceanBase MySQL and Oracle modes is applying tailored indexing strategies and partitioning schemes. This accommodates mode-specific syntax differences to optimize heavy SELECT workloads on large tables.

How do I rewrite SQL queries to avoid full table scans in OceanBase?▼

Rewrite SQL queries to avoid full table scans in OceanBase by adjusting predicates to leverage existing indexes and minimize expensive operations. This query rewriting strategy directly reduces latency and resource consumption.

Does this SQL optimization approach work for both OceanBase MySQL and Oracle modes?▼

Yes, this SQL optimization approach works for both OceanBase MySQL and Oracle modes. It explicitly addresses mode-specific syntax differences, ensuring query tuning, index design, and join strategies apply across both environments.

Why does partition pruning fail to improve my OceanBase query performance?▼

Partition pruning fails to improve OceanBase query performance when predicates do not align with the partitioning scheme. Analyze the execution plan to verify pruning effectiveness and rewrite predicates to ensure the optimizer skips irrelevant partitions.

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