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1193-monthly-transactions-i/README.md

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+<h2><a href="https://leetcode.com/problems/monthly-transactions-i/">1193. Monthly Transactions I</a></h2><h3>Medium</h3><hr><div class="sql-schema-wrapper__3VBi"><a class="sql-schema-link__3cEg">SQL Schema<svg viewBox="0 0 24 24" width="1em" height="1em" class="icon__1Md2"><path fill-rule="evenodd" d="M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z"></path></svg></a></div><div><p>Table: <code>Transactions</code></p>
+
+<pre>+---------------+---------+
+| Column Name   | Type    |
++---------------+---------+
+| id            | int     |
+| country       | varchar |
+| state         | enum    |
+| amount        | int     |
+| trans_date    | date    |
++---------------+---------+
+id is the primary key of this table.
+The table has information about incoming transactions.
+The state column is an enum of type ["approved", "declined"].
+</pre>
+
+<p>&nbsp;</p>
+
+<p>Write an SQL query to find for each month and country, the number of transactions and their total amount, the number of approved transactions and their total amount.</p>
+
+<p>Return the result table in <strong>any order</strong>.</p>
+
+<p>The query result format is in the following example.</p>
+
+<p>&nbsp;</p>
+<p><strong class="example">Example 1:</strong></p>
+
+<pre><strong>Input:</strong> 
+Transactions table:
++------+---------+----------+--------+------------+
+| id   | country | state    | amount | trans_date |
++------+---------+----------+--------+------------+
+| 121  | US      | approved | 1000   | 2018-12-18 |
+| 122  | US      | declined | 2000   | 2018-12-19 |
+| 123  | US      | approved | 2000   | 2019-01-01 |
+| 124  | DE      | approved | 2000   | 2019-01-07 |
++------+---------+----------+--------+------------+
+<strong>Output:</strong> 
++----------+---------+-------------+----------------+--------------------+-----------------------+
+| month    | country | trans_count | approved_count | trans_total_amount | approved_total_amount |
++----------+---------+-------------+----------------+--------------------+-----------------------+
+| 2018-12  | US      | 2           | 1              | 3000               | 1000                  |
+| 2019-01  | US      | 1           | 1              | 2000               | 2000                  |
+| 2019-01  | DE      | 1           | 1              | 2000               | 2000                  |
++----------+---------+-------------+----------------+--------------------+-----------------------+
+</pre>
+</div>