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SQL Then Python Parity
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SQL Then Python Parity

MediumSQL · PostgreSQL

Problem

Write SQL code to produce a desired output, then write programming to do the same thing (Python or pseudo code).

Use the provided users and messages tables. Return users with at least two Slack messages sent during January 2025, then reproduce the same result with Python using the function signature summarize_messages(users, messages).

Output

  1. One row per qualifying user with user_id, user_name, total_messages, and latest_message_at.
  2. Include only users with at least two messages in January 2025.
  3. Order by total_messages descending, latest_message_at descending, then user_id ascending.

Schema

users
ColumnTypeDescription
user_idPKINTUnique Slack user identifier
user_nameVARCHAR(100)Slack display name
emailVARCHAR(255)User email address
messages
ColumnTypeDescription
message_idPKINTUnique message identifier
user_idINTAuthoring user identifier
channel_nameVARCHAR(100)Slack channel containing the message
sent_atTIMESTAMPMessage creation timestamp
Tablesusersmessages
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Your question is SQL Then Python Parity. Start with the requirements and the two tables in the Question tab.

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