Optimize a SQL Query

I need help optimizing a SQL query that's currently experiencing performance issues. Please analyze the query and provide recommendations for improvement. ORIGINAL QUERY: ```sql [INSERT QUERY HERE] ``` CONTEXT: - Database system: [SPECIFY DATABASE SYSTEM] - Table information: * [TABLE_NAME_1]: ~[ROW_COUNT_1] rows, [KEY_COLUMNS_1] * [TABLE_NAME_2]: ~[ROW_COUNT_2] rows, [KEY_COLUMNS_2] * [Additional tables as needed] - Current indexes: * [LIST EXISTING INDEXES] - Performance issues: * Current execution time: [CURRENT_TIME] * Resource usage: [RESOURCE_USAGE] * Problem areas: [KNOWN_ISSUES] Please provide: 1. QUERY ANALYSIS - Identify performance bottlenecks - Highlight inefficient patterns - Explain query execution concerns 2. OPTIMIZATION RECOMMENDATIONS - Structure improvements (joins, subqueries, etc.) - Filter and predicate optimizations - Projection optimizations - Aggregation improvements 3. INDEXING SUGGESTIONS - New indexes with rationale - Modifications to existing indexes - Covering index opportunities 4. OPTIMIZED QUERY - Provide refactored SQL code - Include comments explaining key changes 5. EXPECTED BENEFITS - Anticipated performance improvements - Execution plan changes - Resource utilization impact 6. TRADE-OFF CONSIDERATIONS - Potential drawbacks - Maintenance implications - Alternative approaches Please ensure the optimized query follows best practices for the specified database system and clearly explain your reasoning for each recommendation.