Trino SQL for Treasure Data

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Enhance your data analysis workflow with a specialized assistant for Trino SQL on Treasure Data. This skill helps users navigate complex query requirements, from implementing time-based partitioning and relative date filters to optimizing performance using approximation functions and strategic join patterns. Whether you are migrating from other SQL dialects, debugging memory limit errors, or building intricate user event funnels, this tool ensures your queries follow Treasure Data's best practices for maximum efficiency and execution speed.

Características Principales

• Performance optimization guidance using APPROX functions and right-side join strategies
• Best practice enforcement for Treasure Data table naming conventions and schema handling
• Advanced pattern support for sessionization, window functions, and conversion funnel analysis
• 2 GitHub stars
• Error handling and troubleshooting for common Trino execution and memory issues
• Implementation of TD-specific time functions like td_interval and td_time_range for efficient partition pruning

Casos de Uso

• Optimizing slow-running SQL queries to reduce data scan volume and memory consumption
• Generating relative time-range queries for automated reports using scheduled execution contexts
• Migrating and converting existing SQL logic from other dialects into optimized Trino patterns