timestamp_from_unix_date_time¶

timestamp_from_unix_date_time(unix_date_time, date_time_part)

Description¶

Interprets unix_date_time as the number of date_time_part since 1970-01-01 00:00:00 UTC. Truncates higher levels of precision by rounding down to the beginning of the date_time_part.

Param	Possible values
`date_time_part`	`MICROSECOND`, `MILLISECOND`, `SECOND`, `MINUTE`, `HOUR`, `DAY`, `WEEK`, `WEEK(MONDAY)`, `WEEK(TUESDAY)`, `WEEK(WEDNESDAY)`, `WEEK(THURSDAY)`, `WEEK(FRIDAY)`, `WEEK(SATURDAY)`, `WEEK(SUNDAY)`, `MONTH`, `QUARTER`, `YEAR`

Usage¶

Call or Deploy timestamp_from_unix_date_time ?

Call timestamp_from_unix_date_time directly

The easiest way to use bigfunctions

timestamp_from_unix_date_time function is deployed in 39 public datasets for all of the 39 BigQuery regions.
It can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
(You need to use the dataset in the same region as your datasets otherwise you may have a function not found error)

Public BigFunctions Datasets

Region	Dataset
`eu`	`bigfunctions.eu`
`us`	`bigfunctions.us`
`europe-west1`	`bigfunctions.europe_west1`
`asia-east1`	`bigfunctions.asia_east1`
...	...

Deploy timestamp_from_unix_date_time in your project

Why deploy?

You may prefer to deploy timestamp_from_unix_date_time in your own project to build and manage your own catalog of functions.
This is particularly useful if you want to create private functions (for example calling your internal APIs).
Get started by reading the framework page

Deployment

timestamp_from_unix_date_time function can be deployed with:

pip install bigfunctions
bigfun get timestamp_from_unix_date_time
bigfun deploy timestamp_from_unix_date_time

Examples¶

EUUSeurope-west1

select bigfunctions.eu.timestamp_from_unix_date_time(31, "YEAR")

select bigfunctions.us.timestamp_from_unix_date_time(31, "YEAR")

select bigfunctions.europe_west1.timestamp_from_unix_date_time(31, "YEAR")

+-------------------------+
| from_unix               |
+-------------------------+
| 2001-01-01 00:00:00 UTC |
+-------------------------+

Use cases¶

You have a table storing Unix timestamps (integers representing seconds since 1970-01-01 00:00:00 UTC). You want to convert these timestamps into BigQuery TIMESTAMP format, but at different levels of granularity. Here are a few use cases:

Analyzing data by year: You have event data with Unix timestamps and you want to analyze trends year by year. You can use timestamp_from_unix_date_time(unix_timestamp, 'YEAR') to truncate the timestamps to the beginning of each year, then group your data by this truncated timestamp.

SELECT
  bigfunctions.us.timestamp_from_unix_date_time(event_timestamp, 'YEAR') AS event_year,
  COUNT(*) AS event_count
FROM
  `your_project.your_dataset.your_table`
GROUP BY
  event_year
ORDER BY
  event_year;

Generating reports by month: You want to create monthly reports based on user activity. You have user activity timestamps stored as Unix timestamps. Use timestamp_from_unix_date_time(unix_timestamp, 'MONTH') to get the beginning of the month for each activity, and then aggregate data accordingly.

SELECT
  bigfunctions.us.timestamp_from_unix_date_time(activity_timestamp, 'MONTH') AS activity_month,
  COUNT(DISTINCT user_id) AS active_users
FROM
  `your_project.your_dataset.user_activity`
GROUP BY
  activity_month
ORDER BY
  activity_month;

Data bucketing/aggregation: You want to group events into hourly buckets. You can use timestamp_from_unix_date_time(unix_timestamp, 'HOUR') to truncate timestamps to the beginning of each hour, enabling easy grouping and aggregation.

SELECT
  bigfunctions.us.timestamp_from_unix_date_time(event_timestamp, 'HOUR') AS event_hour,
  SUM(event_value) AS total_value
FROM
  `your_project.your_dataset.events`
GROUP BY
  event_hour
ORDER BY
  event_hour;

Simplifying date comparisons: Sometimes, you only care about the date part of a timestamp. Using timestamp_from_unix_date_time(unix_timestamp, 'DAY') effectively converts the Unix timestamp to a date, allowing for straightforward date comparisons without dealing with the time component.

SELECT *
FROM `your_project.your_dataset.events`
WHERE bigfunctions.us.timestamp_from_unix_date_time(event_timestamp, 'DAY') = '2024-03-15';

These examples demonstrate the flexibility of the function to handle different levels of time granularity based on the date_time_part argument, enabling a variety of time-based analysis and reporting tasks. Remember to replace your_project.your_dataset.your_table with your actual table information and the correct regional dataset for bigfunctions.

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