{ "data": { "question": { "questionId": "3530", "questionFrontendId": "3220", "boundTopicId": null, "title": "Odd and Even Transactions", "titleSlug": "odd-and-even-transactions", "content": "

Table: transactions

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\n+------------------+------+\n| Column Name      | Type | \n+------------------+------+\n| transaction_id   | int  |\n| amount           | int  |\n| transaction_date | date |\n+------------------+------+\nThe transactions_id column uniquely identifies each row in this table.\nEach row of this table contains the transaction id, amount and transaction date.\n
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Write a solution to find the sum of amounts for odd and even transactions for each day. If there are no odd or even transactions for a specific date, display as 0.

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Return the result table ordered by transaction_date in ascending order.

\n\n

The result format is in the following example.

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Example:

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\n

Input:

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transactions table:

\n\n
\n+----------------+--------+------------------+\n| transaction_id | amount | transaction_date |\n+----------------+--------+------------------+\n| 1              | 150    | 2024-07-01       |\n| 2              | 200    | 2024-07-01       |\n| 3              | 75     | 2024-07-01       |\n| 4              | 300    | 2024-07-02       |\n| 5              | 50     | 2024-07-02       |\n| 6              | 120    | 2024-07-03       |\n+----------------+--------+------------------+\n
\n\n

Output:

\n\n
\n+------------------+---------+----------+\n| transaction_date | odd_sum | even_sum |\n+------------------+---------+----------+\n| 2024-07-01       | 75      | 350      |\n| 2024-07-02       | 0       | 350      |\n| 2024-07-03       | 0       | 120      |\n+------------------+---------+----------+\n
\n\n

Explanation:

\n\n\n\n

Note: The output table is ordered by transaction_date in ascending order.

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MySQL 8.0.

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mssql server 2019.

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Oracle Sql 11.2.

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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

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PostgreSQL 16

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