98 lines
3.5 KiB
Markdown
98 lines
3.5 KiB
Markdown
# Lab 1
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*UPDATE: Scenario 5 should be `or`, not `and`.*
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This lab has you practice simple queries against tables with filtering and ordering. Write the SQL queries that properly answer each scenario.
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For each scenario include the following in your answer:
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- The SQL query (properly formatted)
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- The number of rows returned by the query
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*Note: DO NOT hard code any primary key IDs in your queries.*
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This lab uses the `WideWorldImporters` database.
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## Scenario 1
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Select the `SupplierName`, `WebsiteURL`, `DeliveryAddressLine1`, `DeliveryAddressLine2` and `DeliveryPostalCode` columns from the `Purchasing.Suppliers` table.
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Rows: 13
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## Scenario 2
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Select the `StateProvinceName`, `SalesTerritory`, and `CountryID` from the `Application.StateProvinces` table.
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Include only the rows where `SalesTerritory` is `Southeast`.
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Order the rows by `StateProvinceName`.
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Rows: 12
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## Scenario 3
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Select the `CustomerID`, `TransactionDate` and `TransactionAmount` from the `Sales.CustomerTransactions` table.
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Include only the rows where `TransactionAmount` is less than zero and `TransactionDate` is in the year 2015.
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Order the rows by `TransactionDate` descending and then by `TransactionAmount` ascending.
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Rows: 8635
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## Scenario 4
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Select the `CountryName`, `Continent`, `Region`, `Subregion` from the `Application.Countries` table.
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Include only the rows where `LatestRecordedPopulation` is greater than 1 million people and `Continent` is not `Oceania`.
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Order the rows by `CountryName`, `Continent`, `Region` and then `Subregion`.
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Rows: 147
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## Scenario 5
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Select the `StockItemName`, `RecommendedRetailPrice` and `Tags` from the `Warehouse.StockItems` table.
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Include only the rows where `IsChillerStock` is true or `StockItemName` begins with `USB`.
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Order the rows by `StockItemName`.
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Only return the first 10 rows.
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Rows: 10
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## Scenario 6
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Select the `InvoiceId`, `InvoiceDate` and `CustomerName` from the `Sales.Invoices` and `Sales.Customers` tables.
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Include only the invoices from `1/1/2016` to `3/1/2016` and customers that do not have `Toys` in the name.
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Order the rows by `CustomerName` and then by `InvoiceDate`.
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Rows: 1382
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*Note: Return `CustomerName`, not `CustomerId`.
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## Scenario 7
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Select the `ColorName` columns from the `Warehouse.Colors` table that are not being used in the `Warehouse.StockItems` table.
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The `Warehouse.StockItems.ColorId` column contains the `Warehouse.Colors.ColorId` value.
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Order by `ColorName`.
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Rows: 29
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## Scenario 8
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Select the `CityName`, `StateProvinceName` and `StateProvinceCode` from the `Application.Cities` table.
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Include only the cities that begin with the letter `A` from states that are in the `Southeast` sales territory.
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Order the rows by `StateProvinceName` descending and then by `CityName`.
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Rows: 376
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## Scenario 9
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Select the `CustomerId` (as `Id`) and `CustomerName` (as `Name`) columns from the `Sales.Customers` table combined with the `SupplierId` and `SupplierName` columns from the `Purchasing.Suppliers` table.
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Include a `Type` column that is set to `Customer` for customer rows and `Supplier` for supplier rows.
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Order the resulting data by the type and then by customer/supplier name.
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Rows: 676
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*Note: The resultset will have only 3 columns (`Type`, `Id` and `Name`).*
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## Scenario 10
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Select the `CityName`, `StateProvinceName`, `CountryName` and `SalesTerritory` from the `Application.Cities`, `Application.StateOrProvinces` and `Application.Countries` tables.
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Include only the rows that are for the `SalesTerritory` with values of `Southeast` or `Southwest`.
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Order the rows by `StateProvinceName` and then by `CityName`.
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Rows: 13341
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