﻿ AdventureWorks: Calculate the total freight paid by each customer

# AdventureWorks Database: Calculate the total freight paid by each customer

## SQL Query - AdventureWorks: Exercise-7 with Solution

7. From the following table write a query in SQL to calculate the total freight paid by each customer. Return customerid and total freight. Sort the output in ascending order on customerid.

```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:

``````SELECT customerid,sum(freight) as total_freight
group by customerid
ORDER BY customerid ASC;
``````

Sample Output:

```customerid|total_freight|
----------+-------------+
11000|     206.2249|
11001|     159.5971|
11002|     202.8511|
11003|     203.4823|
11004|     204.9003|
11005|     203.0334|
11006|     202.9759|
11007|     205.2751|
11008|     202.6578|
11009|     202.2833|
11010|     202.2011|
11011|     203.3261|
11012|       2.0315|
11013|       2.8490|
11014|       3.4613|
11015|      62.5243|
...
```

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