Using row based WINDOW functions
Window functions often take a row-based window, looking at a number of rows before or after the current row. In this exercise, you will use the same query three times to create a row based window function.
Este exercício faz parte do curso
Introduction to BigQuery
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
-- Complete the query to find the rolling average
SELECT
order_id,
order_purchase_timestamp,
-- Aggregate the price to find the average item price
AVG(___)
OVER(
-- Order the query by the purchase timestamp
ORDER BY ___
-- Start the rows window as a between statement
ROWS ___
-- Create the window for the nine previous rows
___ ___
-- Stop the window at the current row
AND ___ ROW) as rolling_avg
FROM ecommerce.ecomm_order_details od
JOIN ecommerce.ecomm_orders o
USING (order_id), unnest(o.order_items) as item
ORDER BY order_purchase_timestamp;