<p>Table: <code>Transactions</code></p>
<pre>
(相关资料图)
+------------------+------+
| Column Name | Type |
+------------------+------+
| transaction_id | int |
| customer_id | int |
| transaction_date | date |
| amount | int |
+------------------+------+
transaction_id is the primary key of this table.
Each row contains information about transactions that includes unique (customer_id, transaction_date) along with the corresponding customer_id and amount.
</pre>
<p>Write an SQL query to find the customers who have made consecutive transactions with increasing <code>amount</code>;for at least three consecutive days. Include the <code>customer_id</code>,;start date of the consecutive transactions;period and the end date of the consecutive transactions period. There can be multiple consecutive transactions by a customer.</p>
<p>Return <em>the result table ordered by</em> <code>customer_id</code> <em>in <strong>ascending</strong> order.</em></p>
<p>The query result format is in the following example.</p>
<p>;</p>
<p><strong class="example">Example 1:</strong></p>
<strong>Input:</strong>;
Transactions table:
| transaction_id | customer_id | transaction_date | amount|
-|-|-|-|
| 1| 101 | 2023-05-01 | 100|
| 2| 101 | 2023-05-02 | 150|
| 3| 101 | 2023-05-03 | 200|
| 4| 102 | 2023-05-01 | 50 |
| 5| 102 | 2023-05-03 | 100|
| 6| 102 | 2023-05-04 | 200|
| 7| 105 | 2023-05-01 | 100|
| 8| 105 | 2023-05-02 | 150|
| 9| 105 | 2023-05-03 | 200|
| 10 | 105 | 2023-05-04 | 300|
| 11 | 105 | 2023-05-12 | 250|
| 12 | 105 | 2023-05-13 | 260|
| 13 | 105 | 2023-05-14 | 270|
<strong>Output:</strong>;
| customer_id | consecutive_start | consecutive_end |
-|-|-|
| 101 | 2023-05-01 |2023-05-03|
| 105 | 2023-05-01 |2023-05-04|
| 105 | 2023-05-12 |2023-05-14|
<strong>Explanation:</strong>
- customer_id 101 has made consecutive transactions with increasing amounts from May 1st, 2023, to May 3rd, 2023
- customer_id 102 does not have any consecutive transactions for at least 3 days.;
- customer_id 105 has two sets of consecutive transactions: from May 1st, 2023, to May 4th, 2023, and from May 12th, 2023, to May 14th, 2023.;
customer_id is sorted in ascending order.
