Build and Optimize Data Warehouses with BigQuery

Challenge Lab

Qwiklabs [GSP340]

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GSP340

Task 1:

Create a table partitioned by date

code (A):

CREATE OR REPLACE TABLE ecommerce.sample PARTITION BY date OPTIONS ( partition_expiration_days=90, description="COVID 19 data" ) AS SELECT * FROM bigquery-public-data.covid19_govt_response.oxford_policy_tracker WHERE alpha_3_code != 'USA' AND alpha_3_code != 'GBR'

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Task 2: Add new columns to your table

code (B)

ALTER TABLE ecommerce.sample ADD COLUMN IF NOT EXISTS population INT64, ADD COLUMN IF NOT EXISTS country_area FLOAT64, ADD COLUMN IF NOT EXISTS mobility STRUCT< avg_retail FLOAT64, avg_grocery FLOAT64, avg_parks FLOAT64, avg_transit FLOAT64, avg_workplace FLOAT64, avg_residential FLOAT64 >

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Task 3: Add country population data to the population column

code (C):

UPDATE `<PROJECT_ID>.ecommerce.sample` count SET count.population = count1.pop_data_2019 FROM `bigquery-public-data.covid19_ecdc.covid_19_geographic_distribution_worldwide` count1 WHERE count.date = count1.date AND count.alpha_3_code=count1.country_territory_code

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Task 4: Add country area data to the country_area column

code (D):

UPDATE `<PROJECT_ID>.ecommerce.sample` count SET count.country_area = count1.country_area FROM `bigquery-public-data.census_bureau_international.country_names_area` count1 WHERE count.country_name = count1.country_name

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Task 5: Populate the mobility record data

code (E)

UPDATE `<PROJECT_ID>.ecommerce.sample` count SET count.mobility = STRUCT< avg_retail FLOAT64, avg_grocery FLOAT64, avg_parks FLOAT64, avg_transit FLOAT64, avg_workplace FLOAT64, avg_residential FLOAT64 > (count1.avg_retail, count1.avg_grocery, count1.avg_parks, count1.avg_transit, count1.avg_workplace, count1.avg_residential) FROM ( SELECT country_region, date, AVG(retail_and_recreation_percent_change_from_baseline) as avg_retail, AVG(grocery_and_pharmacy_percent_change_from_baseline) as avg_grocery, AVG(parks_percent_change_from_baseline) as avg_parks, AVG(transit_stations_percent_change_from_baseline) as avg_transit, AVG( workplaces_percent_change_from_baseline ) as avg_workplace, AVG( residential_percent_change_from_baseline) as avg_residential FROM `bigquery-public-data.covid19_google_mobility.mobility_report` GROUP BY country_region, date) AS count1 WHERE count.country_name = count1.country_region AND count.date = count1.date

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Task 6: Query missing data in population & country_area columns

code (F):

SELECT DISTINCT country_name FROM `< >.ecommerce.sample` WHERE population is NULL UNION ALL SELECT DISTINCT country_name FROM `< >.ecommerce.sample` WHERE country_area IS NULL ORDER BY country_name ASC

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