﻿ AdventureWorks: Sales by year using GROUP BY with an expression

# AdventureWorks Database: Sales by year using GROUP BY with an expression

## SQL Query - AdventureWorks: Exercise-17 with Solution

17. From the following table write a query in SQL to retrieve the total sales for each year. Return the year part of order date and total due amount. Sort the result in ascending order on year part of order date.

```salesorderid|revisionnumber|orderdate              |duedate                |shipdate               |status|onlineorderflag|purchaseordernumber|accountnumber |customerid|salespersonid|territoryid|billtoaddressid|shiptoaddressid|shipmethodid|creditcardid|creditcardapprovalcode|currencyrateid|subtotal   |taxamt    |freight  |totaldue   |comment|rowguid                             |modifieddate           |
------------+--------------+-----------------------+-----------------------+-----------------------+------+---------------+-------------------+--------------+----------+-------------+-----------+---------------+---------------+------------+------------+----------------------+--------------+-----------+----------+---------+-----------+-------+------------------------------------+-----------------------+
43659|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO522145787        |10-4020-000676|     29825|          279|          5|            985|            985|           5|       16281|105041Vi84182         |              | 20565.6206| 1971.5149| 616.0984| 23153.2339|       |79b65321-39ca-4115-9cba-8fe0903e12e6|2011-06-07 00:00:00.000|
43660|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO18850127500      |10-4020-000117|     29672|          279|          5|            921|            921|           5|        5618|115213Vi29411         |              |  1294.2529|  124.2483|  38.8276|  1457.3288|       |738dc42d-d03b-48a1-9822-f95a67ea7389|2011-06-07 00:00:00.000|
43661|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO18473189620      |10-4020-000442|     29734|          282|          6|            517|            517|           5|        1346|85274Vi6854           |             4| 32726.4786| 3153.7696|  985.553| 36865.8012|       |d91b9131-18a4-4a11-bc3a-90b6f53e9d74|2011-06-07 00:00:00.000|
43662|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO18444174044      |10-4020-000227|     29994|          282|          6|            482|            482|           5|       10456|125295Vi53935         |             4| 28832.5289| 2775.1646| 867.2389| 32474.9324|       |4a1ecfc0-cc3a-4740-b028-1c50bb48711c|2011-06-07 00:00:00.000|
43663|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO18009186470      |10-4020-000510|     29565|          276|          4|           1073|           1073|           5|        4322|45303Vi22691          |              |   419.4589|   40.2681|  12.5838|   472.3108|       |9b1e7a40-6ae0-4ad3-811c-a64951857c4b|2011-06-07 00:00:00.000|
43664|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO16617121983      |10-4020-000397|     29898|          280|          1|            876|            876|           5|         806|95555Vi4081           |              | 24432.6088| 2344.9921|   732.81| 27510.4109|       |22a8a5da-8c22-42ad-9241-839489b6ef0d|2011-06-07 00:00:00.000|
43665|             8|2011-05-31 00:00:00.000|2011-06-12 00:00:00.000|2011-06-07 00:00:00.000|     5|false          |PO16588191572      |10-4020-000146|     29580|          283|          1|            849|            849|           5|       15232|35568Vi78804          |              | 14352.7713| 1375.9427| 429.9821| 16158.6961|       |5602c304-853c-43d7-9e79-76e320d476cf|2011-06-07 00:00:00.000|
-- more --
```

Click to view Full table

Sample Solution:

``````-- Selecting the year from the OrderDate and calculating the total order amount for each year
SELECT DATE_PART('year',OrderDate) AS "Year"
,SUM(TotalDue) AS "Order Amount"
-- Retrieving data from the 'SalesOrderHeader' table
-- Grouping the results by the year extracted from the OrderDate
GROUP BY DATE_PART('year',OrderDate)
-- Ordering the results by the year extracted from the OrderDate
ORDER BY DATE_PART('year',OrderDate);
``````

Explanation:

• The SELECT statement extracts the year from the OrderDate and calculates the total order amount for each year.
• DATE_PART('year',OrderDate) AS "Year" extracts the year from the OrderDate and aliases it as "Year".
• SUM(TotalDue) AS "Order Amount" calculates the total order amount for each year and aliases it as "Order Amount".
• The FROM clause specifies the 'SalesOrderHeader' table from which data is retrieved.
• The GROUP BY clause groups the results by the year extracted from the OrderDate.
• The ORDER BY clause orders the results by the year extracted from the OrderDate.

Sample Output:

```Year  |Order Amount |
------+-------------+
2011.0|14155699.5250|
2012.0|37675700.3120|
2013.0|48965887.9632|
2014.0|22419498.3157|
```