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Скачать или смотреть How to Get the Current Time for New York Time Zone in SQL (BigQuery)

  • vlogize
  • 2025-10-04
  • 0
How to Get the Current Time for New York Time Zone in SQL (BigQuery)
Specify current time for New York time zone in SQL? (BigQuery)sqldatetimegoogle bigquery
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Описание к видео How to Get the Current Time for New York Time Zone in SQL (BigQuery)

Discover how to accurately fetch the current time for New York’s time zone in BigQuery SQL, even when location settings are not optimal.
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This video is based on the question https://stackoverflow.com/q/63470644/ asked by the user 'Jaskeil' ( https://stackoverflow.com/u/10466439/ ) and on the answer https://stackoverflow.com/a/63470678/ provided by the user 'Gordon Linoff' ( https://stackoverflow.com/u/1144035/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Specify current time for New York time zone in SQL? (BigQuery)

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Getting the Current Time for New York Time Zone in BigQuery

In today’s digital landscape, dealing with time zones can sometimes lead to confusion, especially when working with SQL databases. In this post, we will address a specific scenario: how to fetch the current time in the New York time zone using BigQuery SQL. This can be particularly useful for data analysts and developers who need to align their database queries with specific regional times.

The Problem at Hand

Recently, a user faced an issue where their VPN misidentified their location, making it difficult to fetch the correct current time for New York. Even after attempting to adjust settings in Google, the location could not be set, leading to a bit of frustration. The user was currently using the SQL command:

[[See Video to Reveal this Text or Code Snippet]]

However, this command returns the current timestamp in UTC, which does not account for time zone differences, especially when the user wants to work specifically in the New York time zone.

The Solution

Fortunately, there is a straightforward solution to get the current time adjusted to the New York time zone in BigQuery SQL. Here's how to do it:

Use the datetime Function

You need to utilize a combination of functions available in BigQuery to convert UTC time to the local time for New York. The datetime function is your key tool here.

Here is the SQL command you need:

[[See Video to Reveal this Text or Code Snippet]]

Breaking Down the Command

CURRENT_TIMESTAMP(): This function retrieves the current date and time in UTC.

DATETIME(): This function is then used to convert the UTC time into the specified time zone.

'America/New_York': This parameter specifies that you want the time adjusted to New York's time zone.

Key Notes

Understanding Time Zones: It's crucial to remember that, in BigQuery, timestamp values are considered to be in UTC. Therefore, if you're working with local times, always convert them into your desired time zone using the datetime() function.

A Simplified Overview: When you execute the command mentioned above, BigQuery fetches the current time in New York, taking into account any differences in standard or daylight saving time.

Conclusion

In summary, fetching the current time for the New York time zone while working in BigQuery SQL is a simple process when you know the right commands. By using CURRENT_TIMESTAMP() along with DATETIME() and specifying the appropriate time zone, you can ensure that your queries reflect the correct local time despite any potential VPN-related complications.

With this quick solution at your fingertips, you can easily manage time zones in your SQL queries and focus more on analysis and less on troubleshooting.

If you have further questions or need assistance with other SQL-related tasks, feel free to reach out!

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