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sum_values

Call or Deploy sum_values ?

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

  • This sum_values 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

sum_values(arr)

Description

Return the sum of array values

Examples

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

Need help using sum_values?

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Found a bug using sum_values?

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

You have a table of customer orders, and each order contains an array of item prices. You want to calculate the total value of each order.

Table Schema (Example):

CREATE OR REPLACE TABLE `your_project.your_dataset.orders` AS (
  SELECT 1 AS order_id, [10.50, 25.00, 5.99] AS item_prices UNION ALL
  SELECT 2 AS order_id, [150.00, 12.75] AS item_prices UNION ALL
  SELECT 3 AS order_id, [5.00, 5.00, 5.00, 5.00] AS item_prices
);

Query using sum_values:

SELECT
    order_id,
    bigfunctions.us.sum_values(item_prices) AS total_order_value  -- Replace 'us' with your region
  FROM
    `your_project.your_dataset.orders`;

Result:

+---------+-----------------+
| order_id | total_order_value |
+---------+-----------------+
|       1 |            41.49 |
|       2 |           162.75 |
|       3 |            20.00 |
+---------+-----------------+

This use case demonstrates how sum_values simplifies the process of summing elements within an array, eliminating the need for more complex SQL involving unnest and aggregate functions. It's a very practical application for e-commerce, inventory management, and other scenarios where you need to work with arrays of numeric values.

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