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All categories/Data and analysis

Data extraction and SQL · Level Advanced · SQL SQL Debug

SQL debugging: right syntax, wrong result

The query runs but returns nothing, or too little.

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: The query runs but returns nothing, or too little.

[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:
   - the full query
   - expected result and a known reference
   - actual row counts per table
3. Say how you plan to do it (at most 5 steps) and wait for my go-ahead.

[Go through each of these]
- narrow layer by layer: single table, then filters, then joins
- check implicit casts and trailing spaces
- check time boundaries and time zone
- check whether a WHERE clause is filtering out rows after a LEFT JOIN

[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.

  • the full query
  • expected result and a known reference
  • actual row counts per table

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.

  • narrow layer by layer: single table, then filters, then joins
  • check implicit casts and trailing spaces
  • check time boundaries and time zone
  • check whether a WHERE clause is filtering out rows after a LEFT JOIN