Hive : Understanding and utilizing TIMESTAMPTZ in Hive 3.0.0

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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 |
The TIMESTAMPTZ data type in Hive 3.0.0 offers a versatile way to manage timestamps with time zone information, making it essential for accurate time-related analytics.
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