AdventureWorks Database: Return a truncated date with 4 months added to the orderdate
182. From the following table write a query in SQL to return a truncated date with 4 months added to the orderdate.
Sample table: sales.salesorderheader
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 --
Sample Solution:
-- Selecting the orderdate column and applying a date truncation to the month level
SELECT orderdate, DATE_TRUNC('month', (SELECT orderdate + interval '4 month'))
-- Selecting from the Salesorderheader table
FROM Sales.salesorderheader;
Explanation:
- This SQL query retrieves data from the sales order header table.
- Comments are added to explain each part of the query for better understanding and maintenance.
- Here's a breakdown of what the query does:
- It selects the orderdate column from the sales order header table.
- It applies the DATE_TRUNC function to truncate the date to the beginning of the month.
- Inside the DATE_TRUNC function, it calculates a new date by adding 4 months to the orderdate.
- The result is the truncated date to the month level for each orderdate plus 4 months.
- It retrieves data from the Salesorderheader table.
Sample Output:
orderdate |date_trunc | -----------------------+-----------------------+ 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| 2011-05-31 00:00:00.000|2011-09-01 00:00:00.000| ...
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