sql-query-optimizer

# SQL Query Optimizer Analyzes and optimizes SQL queries across different data warehouse platforms with platform-specific recommendations. ## Overview This skill examines SQL queries to identify performance bottlenecks, suggest optimizations, and provide platform-specific recommendations for Snowflake, BigQuery, Redshift, and Databricks. It analyzes query execution plans, recommends indexes/clustering keys, and identifies anti-patterns. ## Capabilities - **Query execution plan analysis** - Parse and analyze EXPLAIN outputs - **Index recommendations** - Suggest clustering keys, sort keys, partition keys - **Join optimization** - Identify inefficient join patterns and suggest improvements - **Subquery elimination** - Convert correlated subqueries to CTEs or joins - **CTE optimization** - Materialize vs reference optimization - **Window function optimization** - Frame and partition optimization - **Predicate pushdown validation** - Verify filter pushdown effectiveness - **Clustering key recommendations** - Platform-specific clustering strategies - **Materialized view suggestions** - Identify candidates for materialized views - **Platform-specific optimizations** - Snowflake, BigQuery, Redshift, Databricks ## Input Schema ```json { "query": { "type": "string", "description": "The SQL query to analyze", "required": true }, "platform": { "type": "string", "enum": ["snowflake", "bigquery", "redshift", "databricks", "postgres"], "required": true, ...