SQL Query to Count Warnings and Calculate Total Amount

This SQL query will help you identify orders with warnings and calculate the total amount spent on those orders.

Table Structure:

| OrderID | warn_info | OrderDate | TotalAmount | | ------- | ------------ | ---------- | ----------- | | 1 | 1 | 2021-01-01 | 100 | | 1 | 2 | 2021-01-02 | 200 | | 1 | 0 | 2021-01-03 | 150 | | 1 | 4 | 2021-01-04 | 300 | | 1 | 5 | 2021-01-05 | 250 |

SQL Query:

SELECT COUNT(*) AS warn_info_count, SUM(TotalAmount) AS total_amount
FROM table_name
WHERE warn_info <> 0;

Explanation:

SELECT COUNT(*) AS warn_info_count, SUM(TotalAmount) AS total_amount: This part selects the count of rows where warn_info is not equal to 0 and sums the TotalAmount values for those rows.
FROM table_name: Replace table_name with the actual name of your table.
WHERE warn_info <> 0: This condition filters out rows where warn_info is equal to 0, ensuring only rows with warnings are counted and summed.

Output:

The query will return two values:

warn_info_count: The number of orders with warn_info not equal to 0.
total_amount: The sum of TotalAmount for those orders.

This query can be used to analyze your data and track orders with warnings, helping you identify potential issues and take corrective actions.

SQL Query to Count Warnings and Calculate Total Amount