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Fix 'дорогой запрос snowflake bigquery сканирует всю таблицу' (Snowflake .sql / .csv / .json) — Instant Pre-Flight & Repair

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Failure Prevented: Cuts 60–90% of scanned terabytes by rewriting `DATE_TRUNC`/`YEAR()` predicates & stripping unused `SELECT *` columns.

1. Paste Expensive SQL or dbt Model: Grab your top credit-burning query from `QUERY_HISTORY` or `models/*.sql`.

2. Run AST Pruning Check: Spot non-sargable date functions, wide `SELECT *` CTEs, and idle warehouse timers.

3. Inspect Partition Chart: See before/after scanned partitions and monthly credit savings.

Drop QUERY_HISTORY Metadata + dbt SQL Models (.sql, .json, .csv)

Drop anywhere on screen or tap to choose file · Instant X-Ray in RAM (no registration)

Pre-Pay Deterministic X-Ray · 3 Structural Defects Caught SHA-256: — · Confidence: 99.4%

Verified Ready Package: Semantically-Equivalent Pruned dbt/SQL Git PR + Warehouse Sizing DDL (.zip)

Done! Where to upload / apply your fixed file (30s):

1. Commit Rewritten SQL: Drop the algebraically equivalent sargable query into your dbt repo / BI dashboard.

2. Set Warehouse `AUTO_SUSPEND = 60`: Apply the included warehouse DDL snippet.

3. Verify in Query Profile: Confirm micro-partition pruning jumps from full scan to targeted slices.

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