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Complex SQL Performance Walkthrough
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Complex SQL Performance Walkthrough

HardSQL · PostgreSQL

Problem

Can you walk through your experience writing and optimizing complex SQL queries, stored procedures, and cursors for performance?

For the practical portion, use the provided PostgreSQL tables to produce a merchant-level transaction summary for active cardholders during the first quarter of 2025. Include merchants without qualifying transactions so the result demonstrates both correctness and performance considerations.

Output

  1. One row per merchant with merchant_name, category, region, approved_txn_count, total_approved_amount, and average_approved_amount
  2. Include only approved, non-null, non-negative transactions from active cardholders between January 1 and April 1, 2025
  3. Include merchants with no qualifying transactions, using zero counts and totals and a null average
  4. Order by total amount descending, then merchant ID ascending for ties

Schema

merchants
ColumnTypeDescription
merchant_idPKINTUnique merchant identifier
merchant_nameVARCHAR(100)Merchant display name
categoryVARCHAR(50)Merchant business category
regionVARCHAR(30)Merchant operating region
cardholders
ColumnTypeDescription
cardholder_idPKINTUnique cardholder identifier
cardholder_nameVARCHAR(100)Cardholder name
account_statusVARCHAR(20)Current account status
transactions
ColumnTypeDescription
transaction_idPKINTUnique transaction identifier
merchant_idINTMerchant associated with the transaction
cardholder_idINTCardholder associated with the transaction
transaction_tsTIMESTAMPTransaction timestamp
statusVARCHAR(20)Transaction processing status
amountNUMERIC(12,2)Transaction amount
Tablesmerchantscardholderstransactions
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Your question is Complex SQL Performance Walkthrough. Start with the requirements and the three tables in the Question tab.

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