Customers With Strictly Increasing Purchases
['report-contiguous-dates', 'find-the-start-and-end-number-of-continuous-ranges']
['Create table If Not Exists Orders (order_id int, customer_id int, order_date date, price int)', 'Truncate table Orders', "insert into Orders (order_id, customer_id, order_date, price) values ('1', '1', '2019-07-01', '1100')", "insert into Orders (order_id, customer_id, order_date, price) values ('2', '1', '2019-11-01', '1200')", "insert into Orders (order_id, customer_id, order_date, price) values ('3', '1', '2020-05-26', '3000')", "insert into Orders (order_id, customer_id, order_date, price) values ('4', '1', '2021-08-31', '3100')", "insert into Orders (order_id, customer_id, order_date, price) values ('5', '1', '2022-12-07', '4700')", "insert into Orders (order_id, customer_id, order_date, price) values ('6', '2', '2015-01-01', '700')", "insert into Orders (order_id, customer_id, order_date, price) values ('7', '2', '2017-11-07', '1000')", "insert into Orders (order_id, customer_id, order_date, price) values ('8', '3', '2017-01-01', '900')", "insert into Orders (order_id, customer_id, order_date, price) values ('9', '3', '2018-11-07', '900')"]
{"mysql": ["Create table If Not Exists Orders (order_id int, customer_id int, order_date date, price int)"], "mssql": ["Create table Orders (order_id int, customer_id int, order_date date, price int)"], "oraclesql": ["Create table Orders (order_id int, customer_id int, order_date date, price int)", "ALTER SESSION SET nls_date_format='YYYY-MM-DD'"], "database": true, "name": "find_specific_customers", "pythondata": ["Orders = pd.DataFrame([], columns=['order_id', 'customer_id', 'order_date', 'price']).astype({'order_id':'Int64', 'customer_id':'Int64', 'order_date':'datetime64[ns]', 'price':'Int64'})"], "postgresql": ["Create table If Not Exists Orders (order_id int, customer_id int, order_date date, price int)"], "database_schema": {"Orders": {"order_id": "INT", "customer_id": "INT", "order_date": "DATE", "price": "INT"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']