Active Users
[]
['Create table If Not Exists Accounts (id int, name varchar(10))', 'Create table If Not Exists Logins (id int, login_date date)', 'Truncate table Accounts', "insert into Accounts (id, name) values ('1', 'Winston')", "insert into Accounts (id, name) values ('7', 'Jonathan')", 'Truncate table Logins', "insert into Logins (id, login_date) values ('7', '2020-05-30')", "insert into Logins (id, login_date) values ('1', '2020-05-30')", "insert into Logins (id, login_date) values ('7', '2020-05-31')", "insert into Logins (id, login_date) values ('7', '2020-06-01')", "insert into Logins (id, login_date) values ('7', '2020-06-02')", "insert into Logins (id, login_date) values ('7', '2020-06-02')", "insert into Logins (id, login_date) values ('7', '2020-06-03')", "insert into Logins (id, login_date) values ('1', '2020-06-07')", "insert into Logins (id, login_date) values ('7', '2020-06-10')"]
{"mysql": ["Create table If Not Exists Accounts (id int, name varchar(10))", "Create table If Not Exists Logins (id int, login_date date)"], "mssql": ["Create table Accounts (id int, name varchar(10))", "Create table Logins (id int, login_date date)"], "oraclesql": ["Create table Accounts (id int, name varchar(10))", "Create table Logins (id int, login_date date)", "ALTER SESSION SET nls_date_format='YYYY-MM-DD'"], "database": true, "name": "active_users", "pythondata": ["Accounts = pd.DataFrame([], columns=['id', 'name']).astype({'id':'Int64', 'name':'object'})", "Logins = pd.DataFrame([], columns=['id', 'login_date']).astype({'id':'Int64', 'login_date':'datetime64[ns]'})"], "postgresql": ["Create table If Not Exists Accounts (id int, name varchar(10))", "Create table If Not Exists Logins (id int, login_date date)"], "database_schema": {"Accounts": {"id": "INT", "name": "VARCHAR(10)"}, "Logins": {"id": "INT", "login_date": "DATE"}}}
{"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']