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Optimizing Slow SQL Queries
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Optimizing Slow SQL Queries

HardSQL · PostgreSQL

Problem

How do you optimize a SQL query that is performing poorly on a large dataset?

Using the provided PostgreSQL schema, rewrite the query so it returns the required results efficiently. Consider filtering, join behavior, aggregation, ranking, and the indexes or execution-plan evidence you would use to validate the improvement.

Output

  1. One row per qualifying merchant ranked within its category.
  2. Columns: category, category_rank, merchant_id, merchant_name, total_spend, transaction_count, latest_transaction_date.
  3. Include only active accounts, approved transactions from 2025-01-01 through 2025-06-30, non-null merchant categories, and merchants ranked 1 or 2 within their category.
  4. Order by category, category_rank, then merchant_id.

Schema

accounts
ColumnTypeDescription
account_idPKINTUnique account identifier
account_statusVARCHAR(20)Current account status
opened_dateDATEDate the account was opened
transactions
ColumnTypeDescription
transaction_idPKINTUnique transaction identifier
account_idINTAccount associated with the transaction
merchant_idINTMerchant associated with the transaction
transaction_dateDATEDate of the transaction
transaction_statusVARCHAR(20)Processing status of the transaction
amountNUMERIC(12,2)Transaction amount
merchants
ColumnTypeDescription
merchant_idPKINTUnique merchant identifier
merchant_nameVARCHAR(100)Merchant display name
categoryVARCHAR(50)Merchant spending category
Tablesaccountstransactionsmerchants
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