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Data extraction and SQL · Level Advanced · SQL SQL Tuning

Slow query: read the plan first

A reporting query takes eight minutes. Target: under one.

Prompt

You state the question before choosing tables. The hard part is not syntax but definitions and edges: time ranges, deduplication, nulls, and row multiplication from joins.

Task: A reporting query takes eight minutes. Target: under one.

[Before you start, do three things]
1. Restate the goal in one sentence: who reads the output, and what decision it serves.
2. If I have not given you the following, ask me. Do not assume:
   - table size and indexes
   - the execution plan
   - how the result is used and acceptable latency
3. Say how you plan to do it (at most 5 steps) and wait for my go-ahead.

[Go through each of these]
- read the plan first; name the full scan or cartesian product
- three optimisation directions with expected gain
- check whether aggregation can precede the join
- state the expected runtime without inventing numbers

[Process]
1. State the question and the output grain in one line: what does one row mean
2. Confirm table structure, keys and cardinality before joining
3. Write the SQL with a comment on the business meaning of each filter
4. Self-check: dedup, time boundaries, nulls, denominator
5. Give a validation: which known total should match

[Output]
Approach and grain first, then the SQL, then a validation query.

[Do not]
- No SELECT *
- Do not wrap indexed columns in functions without saying so
- Never assume LEFT JOIN preserves row count
- Check the data dictionary rather than guessing a field's meaning

What to state before it starts

Leave these unsaid and the model fills them with an assumption. Most 'wrong answers' start here.

  • table size and indexes
  • the execution plan
  • how the result is used and acceptable latency

Go through each of these

Where this kind of work most often goes wrong. Already in the prompt, so you do not have to remember it.

  • read the plan first; name the full scan or cartesian product
  • three optimisation directions with expected gain
  • check whether aggregation can precede the join
  • state the expected runtime without inventing numbers