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Design for High-Transactional Data Flow
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Design for High-Transactional Data Flow

MediumSQL · PostgreSQL

Problem

What is your experience with high-transactional data flow in databases?

Using the provided transaction and event data, write a PostgreSQL query that summarizes transaction flow by hour and excludes hours with fewer than two transactions.

Output

  1. Return one row per included hour with flow_hour, total_transactions, successful_transactions, success_rate_pct, avg_latency_ms, and max_latency_ms.
  2. Sort by transaction count descending, then hour ascending.

Schema

transactions
ColumnTypeDescription
transaction_idPKINTUnique transaction identifier
occurred_atTIMESTAMPTimestamp when the transaction entered the flow
transaction_typeVARCHAR(30)Transaction classification
source_systemVARCHAR(40)System that originated the transaction
amountNUMERIC(12,2)Transaction amount
transaction_events
ColumnTypeDescription
event_idPKINTUnique event identifier
transaction_idINTReferenced transaction identifier
statusVARCHAR(20)Processing outcome
latency_msINTProcessing latency in milliseconds
Tablestransactionstransaction_events
Interviewer

Your question is Design for High-Transactional Data Flow. Start with the requirements and the two tables in the Question tab.

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