Trino Query Optimizer

Analyze and optimize Trino queries. Reads EXPLAIN plans, predicts CPU, memory, and scan cost before running, rewrites expensive federated queries, and surfaces partition-pruning and join-order fixes for faster, cheaper distributed SQL.

This skill optimizes Trino (formerly PrestoSQL) queries: reading and interpreting EXPLAIN and EXPLAIN ANALYZE plans, predicting CPU, memory, and bytes-scanned cost before execution, rewriting expensive federated queries across connectors, and recommending partition pruning, join reordering, and dynamic filtering to make distributed SQL faster and cheaper.

When to use

Use when a Trino query is slow or expensive, when reading a Trino query plan, estimating query cost before running, or optimizing federated queries across connectors.

Examples

Explain the cost

Why is it expensive

Explain why this Trino query is so expensive from its EXPLAIN ANALYZE plan and estimate its CPU and scan cost

Optimize a slow join

Rewrite for speed

Rewrite this Trino query with better join order and partition pruning so it scans less data and finishes faster

Predict before running

Cost estimate

Estimate the cost of this Trino query against a large partitioned table before I run it, and flag if it needs a date filter