Скачать или смотреть Converting UNIX timestamps to Google BigQuery Timestamp Format

Learn how to convert UNIX timestamps to Google BigQuery timestamp format to ensure your queries run smoothly. This guide provides clear steps and examples for seamless integration.
---
This video is based on the question https://stackoverflow.com/q/65722619/ asked by the user 'Caio César P. Ricciuti' ( https://stackoverflow.com/u/14445149/ ) and on the answer https://stackoverflow.com/a/65722912/ provided by the user 'Daniel Zagales' ( https://stackoverflow.com/u/14400998/ ) 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: UNIX timestamp TO Google bigQuery TS Format

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Converting UNIX Timestamps to Google BigQuery Timestamp Format: A Guide

If you’re working with Google Cloud Pub/Sub and BigQuery, you might encounter challenges when receiving messages that include UNIX timestamps. The problem? BigQuery requires timestamps to be in a specific format, and if you're sending UNIX timestamps directly from your Pub/Sub messages, your queries will fail. In this post, we'll explore how to easily convert UNIX timestamps to the BigQuery timestamp format, ensuring your queries execute without a hitch.

Understanding the Problem

When receiving messages from Pub/Sub, the data often comes packaged in a UNIX timestamp format. UNIX timestamps represent the number of seconds that have elapsed since January 1, 1970 (the Unix epoch). While this format is useful in many contexts, Google BigQuery isn’t set up to handle these timestamps as-is during data inserts. Hence, you may encounter errors while trying to run your queries.

For example, when using an insert query like:

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

You might face issues because @ myTS, @ userTS, and @ registerTS are UNIX timestamps that BigQuery cannot interpret.

Solution Overview

The good news is that there is a straightforward solution to this problem. Google BigQuery provides a function called TIMESTAMP_SECONDS that can convert UNIX timestamps to a format that BigQuery understands.

Step-by-Step Conversion Process

Declare the Correct Format: When you prepare your query to insert data into BigQuery, instead of using the UNIX timestamps directly, you will wrap them using the TIMESTAMP_SECONDS function.

Modify Your SQL Query: Here’s how you can rewrite your insert query to correctly handle the UNIX timestamps:

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

Explanation of the Code

TIMESTAMP_SECONDS(@ myTS): This function converts the UNIX timestamp in @ myTS to a BigQuery-compatible timestamp.

Same for Other Fields: You do the same for userTS and registerTS, ensuring all timestamps are correctly formatted before insertion.

Updated Cloud Function Example

Integrating this into your existing Cloud Function looks like this:

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

Conclusion

Converting UNIX timestamps to the appropriate format for Google BigQuery is a simple but crucial step in ensuring your queries execute correctly. By employing the TIMESTAMP_SECONDS function in your SQL queries, you'll be able to seamlessly integrate and insert data into BigQuery without experiencing errors.

If you have further questions about integrating Google Cloud services like Pub/Sub with BigQuery, feel free to reach out or leave a comment below. Happy querying!