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remove_value

Call or Deploy remove_value ?

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

  • This remove_value 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

remove_value(arr, value)

Description

Return an array with all values except value.

Examples

select bigfunctions.eu.remove_value([1, 4, 3, 8], 4)
select bigfunctions.us.remove_value([1, 4, 3, 8], 4)
select bigfunctions.europe_west1.remove_value([1, 4, 3, 8], 4)
+-----------+
| arr       |
+-----------+
| [1, 3, 8] |
+-----------+

Need help using remove_value?

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Found a bug using remove_value?

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.

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Use cases

Imagine you have a table of user preferences where each user has a list of favorite colors stored in an array. You want to remove a specific color from a user's preference list.

Table Schema:

CREATE OR REPLACE TABLE `your_project.your_dataset.user_preferences` (
  user_id INT64,
  favorite_colors ARRAY<STRING>
);

INSERT INTO `your_project.your_dataset.user_preferences` (user_id, favorite_colors) VALUES
(1, ['red', 'blue', 'green', 'yellow']),
(2, ['blue', 'green', 'purple']),
(3, ['red', 'orange', 'yellow']);

Use Case: Removing 'blue' from user preferences:

SELECT
    user_id,
    bigfunctions.your_region.remove_value(favorite_colors, 'blue') AS updated_favorite_colors
FROM
    `your_project.your_dataset.user_preferences`;

Result:

+---------+-------------------------+
| user_id | updated_favorite_colors |
+---------+-------------------------+
|       1 | ['red', 'green', 'yellow'] |
|       2 | ['green', 'purple']       |
|       3 | ['red', 'orange', 'yellow'] |
+---------+-------------------------+

This query uses the remove_value function to remove the color 'blue' from each user's favorite_colors array. Users who didn't have 'blue' in their list remain unaffected. Replace your_region with the appropriate BigQuery region for your project (e.g., us, eu, us-central1).

Other scenarios where remove_value can be useful:

  • Product Recommendations: Removing previously purchased items from a recommendation list.
  • Inventory Management: Removing out-of-stock items from a product catalog.
  • Data Cleaning: Removing specific erroneous values from a dataset.
  • Filtering Search Results: Removing unwanted tags or categories from a search query.
  • Access Control: Removing revoked permissions from a user's access list.

In essence, whenever you need to dynamically filter elements from an array based on their value, the remove_value function provides a concise and efficient solution.

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