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translated_month_name

Call or Deploy translated_month_name ?

✅ You can call this translated_month_name bigfunction directly from your Google Cloud Project (no install required).

  • This translated_month_name function is deployed in bigfunctions GCP project in 39 datasets for all of the 39 BigQuery regions. You need to use the dataset in the same region as your datasets (otherwise you may have a function not found error).
  • Function is public, so it can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
  • You may prefer to deploy the BigFunction in your own project if you want 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). Discover the framework

Public BigFunctions Datasets:

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

Description

Signature

translated_month_name(date, language)

Description

Get translated_month_name in targeted language

language has locale format such as fr, fr_FR, fr_BE, etc.

Examples

select bigfunctions.eu.translated_month_name('2022-05-01', 'es')
select bigfunctions.us.translated_month_name('2022-05-01', 'es')
select bigfunctions.europe_west1.translated_month_name('2022-05-01', 'es')
+-----------------------+
| translated_month_name |
+-----------------------+
| mayo                  |
+-----------------------+

Need help using translated_month_name?

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For professional suppport, don't hesitate to chat with us.

Found a bug using translated_month_name?

If the function does not work as expected, please

  • report a bug so that it can be improved.
  • or open the discussion with the community on Slack.

For professional suppport, don't hesitate to chat with us.

Use cases

A company has a table of sales data with a date column. They want to create a report that displays the month name in different languages based on the user's locale. They can use the translated_month_name function to achieve this.

Example Scenario:

The company operates in France and Spain. They have a BigQuery table called sales with columns date and sales_amount.

CREATE OR REPLACE TABLE `your_project.your_dataset.sales` AS
SELECT DATE('2023-01-15') AS date, 1200 AS sales_amount UNION ALL
SELECT DATE('2023-02-20') AS date, 1500 AS sales_amount UNION ALL
SELECT DATE('2023-03-10') AS date, 1800 AS sales_amount UNION ALL
SELECT DATE('2023-04-05') AS date, 1100 AS sales_amount;

Query for French Users:

SELECT
    bigfunctions.eu.translated_month_name(date, 'fr') AS month_name_fr,
    sales_amount
FROM
    `your_project.your_dataset.sales`;

Result:

month_name_fr sales_amount
janvier 1200
février 1500
mars 1800
avril 1100

Query for Spanish Users:

SELECT
    bigfunctions.eu.translated_month_name(date, 'es') AS month_name_es,
    sales_amount
FROM
    `your_project.your_dataset.sales`;

Result:

month_name_es sales_amount
enero 1200
febrero 1500
marzo 1800
abril 1100

This allows the company to generate reports tailored to different language preferences without needing complex case statements or separate tables for each language. The translated_month_name function simplifies the process of localizing date information. Remember to replace your_project.your_dataset and the region prefix (e.g. eu, us) as needed.

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