remove_value¶

remove_value(arr, value)

Description¶

Return an array with all values except value.

Usage¶

Call or Deploy remove_value ?

Call remove_value directly

The easiest way to use bigfunctions

remove_value 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 remove_value in your project

Why deploy?

You may prefer to deploy remove_value 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

remove_value function can be deployed with:

pip install bigfunctions
bigfun get remove_value
bigfun deploy remove_value

Examples¶

EUUSeurope-west1

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] |
+-----------+

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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report a bug so that it can be improved.
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