How to use partition by clause in Domo SQL

hamza_123

I have following columns:

Kingdom,

Animal,

Age,

Weight

Each row can be repeated multiple times. I want to sum values on the kingdom level in another view/table:

My code is:

SELECT
'Kingdom',
SUM (MAX ('Age')) OVER (PARTITION BY 'Animal') AS 'Age',
SUM(MAX ('Weight')) OVER (PARTITION BY 'Animal') AS 'Weight'

FROM 'Table'
GROUP BY 'Kingdom'

The Domo transform does not work. Says "Whoops! Something went wrong"

Can someone help me as to how to make this work?

The

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Accepted answers

ST_Superman

Yes and no...

You can use windowed functions in a redshift dataflow. But not in the standard MySQL dataflow option.

If you aren't familiar with redshift, then you will need to study up on some of the differences because it uses some different syntax.

All comments

Aditya_Jain

Hi @hamza_123 ,

The query that you have written has a syntax error.

SUM (MAX ('Age')) OVER (PARTITION BY 'Animal') AS 'Age',
SUM(MAX ('Weight')) OVER (PARTITION BY 'Animal') AS 'Weight'

Aggregation of already aggregated column (SUM(COUNT)) can not be done this way.

Also, It would be great to check with Domo Support if MySQL flow currentlu supports windoe aggregation or not. I doubt it does not. Still it's advised to check with Domo.

Moreover, window aggregation is supported in beast modes calculation, so you can directly place your clculation in the cards' beast mode.

Hope this helps.

Regards

Aditya Jain

ST_Superman

I would suggest the following steps in a SQL dataflow:

SELECT
`Kingdom`,
`Animal',
MAX(`Age`) as `Max Age`,
MAX(`Weight`) as `Max Weight`
FROM 'Table'
Group By 1,2

This will give you a table with:

Kingdom,

Animal,

Max Age,

Max Weight

Then you can get your desired output table:

SELECT
`Kingdom`,
SUM(`Max Age`) as `Age`,
SUM(`Max Weight`) as `Weight`
FROM 'Table_2'
Group By `Kingdom`

hamza_123

Thank you for the reply. So I'm guessing partitions do not work in Domo SQL?

ST_Superman

Yes and no...

You can use windowed functions in a redshift dataflow. But not in the standard MySQL dataflow option.

If you aren't familiar with redshift, then you will need to study up on some of the differences because it uses some different syntax.

hamza_123

Thankyou for the reply. It is clear now.