min_value¶

Call or Deploy min_value ?

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

This min_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 --> Read Getting Started. This is particularly useful if you want to create private functions (for example calling your internal APIs).
For any question or difficulties, please read Getting Started.
Found a bug? Please raise an issue here

Public BigFunctions Datasets are like:

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

Description¶

Signature

min_value(arr)

Description

Return min value of array (inspired from sql-snippets repo)

Examples¶

EUUSeurope-west1

select bigfunctions.eu.min_value([1, 4, 3])

select bigfunctions.us.min_value([1, 4, 3])

select bigfunctions.europe_west1.min_value([1, 4, 3])

+-------+
| value |
+-------+
| 1     |
+-------+

Use cases¶

You have a table of products, and each product has an array of prices representing its price history. You want to find the lowest price ever recorded for each product.

WITH Products AS (
    SELECT
        'Product A' AS product_name,
        [10, 12, 8, 15, 9] AS prices
    UNION ALL
    SELECT
        'Product B' AS product_name,
        [20, 18, 18, 19, 21] AS prices
    UNION ALL
    SELECT
        'Product C' AS product_name,
        [5, 7, 5, 6, 4] AS prices
)
SELECT
    product_name,
    bigfunctions.us.min_value(prices) AS min_price
FROM Products;

This query would utilize the min_value function to efficiently determine the minimum value within the prices array for each product, effectively identifying the historical lowest price. You would replace bigfunctions.us with the appropriate dataset for your region.