bigfunctions > array_union
array_union¶
Call or Deploy array_union
?
✅ You can call this array_union
bigfunction directly from your Google Cloud Project (no install required).
- This
array_union
function is deployed inbigfunctions
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
array_union(array1, array2)
Description
Returns the union of two arrays.
Examples¶
select bigfunctions.eu.array_union([1, 2, 3], [2, 6, 7])
select bigfunctions.us.array_union([1, 2, 3], [2, 6, 7])
select bigfunctions.europe_west1.array_union([1, 2, 3], [2, 6, 7])
+-----------------+
| result |
+-----------------+
| [1, 2, 3, 6, 7] |
+-----------------+
Need help using array_union
?
The community can help! Engage the conversation on Slack
For professional suppport, don't hesitate to chat with us.
Found a bug using array_union
?
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¶
Use Case: Combining Product Categories
Imagine you have an e-commerce platform, and you store product categories as arrays in a BigQuery table. You want to display all unique categories associated with a product, even if they come from different sources.
Table Schema:
CREATE OR REPLACE TABLE `your_project.your_dataset.products` (
product_id STRING,
categories_source1 ARRAY<STRING>,
categories_source2 ARRAY<STRING>
);
INSERT INTO `your_project.your_dataset.products` (product_id, categories_source1, categories_source2) VALUES
('product1', ['Electronics', 'Smartphones'], ['Mobile Phones', 'Gadgets']),
('product2', ['Clothing', 'Shoes'], ['Footwear', 'Accessories']);
Query with array_union
:
SELECT
product_id,
bigfunctions.your_region.array_union(categories_source1, categories_source2) AS all_categories
FROM
`your_project.your_dataset.products`;
Result:
+-----------+-------------------------------------+
| product_id | all_categories |
+-----------+-------------------------------------+
| product1 | ['Electronics', 'Smartphones', 'Mobile Phones', 'Gadgets'] |
| product2 | ['Clothing', 'Shoes', 'Footwear', 'Accessories'] |
+-----------+-------------------------------------+
Explanation:
The array_union
function effectively combines the arrays from categories_source1
and categories_source2
, eliminating duplicate category names. This gives you a single array (all_categories
) containing all unique categories associated with each product. This can be beneficial for filtering, faceting, or displaying comprehensive product information on your website.
Other Use Cases:
- Merging User Interests: Combining user interests from different sources (e.g., browsing history, explicit preferences) into a single unified list.
- Consolidating Tags: Merging tags or keywords assigned to articles or other content from multiple sources.
- Combining Lists of Features: Merging lists of product features from different databases or APIs. Basically anytime you need to create a distinct list from multiple lists,
array_union
is a good choice.
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