Apache Hive 3.0.0 introduced several new features, including the TIMESTAMPTZ data type, which stores a timestamp with the time zone. This helps in managing and analyzing time data more accurately across different time zones. In this article, we’ll explore the TIMESTAMPTZ data type and provide examples tailored to beginners.
1. Introduction to TIMESTAMPTZ
TIMESTAMPTZ stores a timestamp along with time zone information. This is incredibly useful when working with global data, ensuring consistent time interpretation across various locations.
2. Creating a Table with TIMESTAMPTZ
Let’s create a table named freshers_in_events to demonstrate the use of TIMESTAMPTZ. We’ll store information about different events, including the timestamp with the time zone.
CREATE TABLE freshers_in_events (
event_id INT,
event_name STRING,
event_time TIMESTAMPTZ
);
3. Inserting Data with TIMESTAMPTZ
We can now insert data into the freshers_in_events table. The TIMESTAMPTZ column can include the time zone offset.
INSERT INTO freshers_in_events (event_id, event_name, event_time) VALUES
(1, 'Conference', '2023-08-12 10:00:00+05:00'),
(2, 'Webinar', '2023-08-12 15:00:00-07:00'),
(3, 'Workshop', '2023-08-12 20:00:00+00:00');
4. Querying Data with TIMESTAMPTZ
You can run queries on the TIMESTAMPTZ data type just like any other data type. Here’s an example to select all events:
SELECT * FROM freshers_in_events;
5. Sample Query Result
The result of the query will reflect the time zone information:
+-----------+-------------+-----------------------------+
| event_id | event_name | event_time |
+-----------+-------------+-----------------------------+
| 1 | Conference | 2023-08-12 10:00:00.0+05:00 |
| 2 | Webinar | 2023-08-12 15:00:00.0-07:00 |
| 3 | Workshop | 2023-08-12 20:00:00.0+00:00 |
+-----------+-------------+-----------------------------+
