Alteryx Designer

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Andy Uttley, Alteryx ACE, makes music with Alteryx | Math + Music

Tool Mastery | Generate Rows


Generate Rows.pngThis article is part of the Tool Mastery Series, a compilation of Knowledge Base contributions to introduce diverse working examples for Designer Tools. Here we’ll delve into uses of the Generate Rows Tool on our way to mastering the Alteryx Designer:


The Generate Rows Tool, which is part of the Preparation tool category, creates new rows of data based on a user defined loop expression. It is especially useful when creating sequences of numbers or dates. 


For example, let's say you have a dataset with products that aren't sold very often (not every month) but you would like to create records for every month and fill in quantity and amount as zero for reporting purposes. You can use the Generate Rows Tool to take the earliest month on the dataset, increment that by one month (generating a new row each time) until it has reached the latest month or the month you are in.  


To do so, first use a Summarize Tool to identify both the min (earliest) and max (most recent) dates in your data:


7-15-2016 4-20-55 PM.png


In this example, we created a field called CurrentMonth to be used as the max date, but you could certainly use a date provided on your data set. 


Then, set up the Generate Rows Tool as follows: 


7-15-2016 4-18-06 PM.png


We are creating a new field called [Date] that will hold all of the date values between the earliest date on the data set and the current month. 

The Initialization Expression, [Min_Date], is the starting value that will be used for the first row. In our case, it is the earliest date on the data set as identified by the Summarize Tool.

The Loop Expression is what is being used to generate new rows. In our case, it increments [Date] by one month until the Condition Expression is met. As long as the Condition Expression returns true, another row will be created. Once the Condition Expression returns false, no more rows will be created.


Once these rows are created, you will have to join them back to your dataset and fill in any missing columns appropriately. See the attached v10.5 workflow (GenerateRows.yxmd) for an example of how to do that.


Another example that uses dates generated by the tool would be to calculate the difference between two dates. If you want to just know the number of days, you can use the date time functions, but what if you want to count the number of Sundays between two dates? 


 If you have a Start Date and an End Date, you set up the tool very much like in the example above, but instead of incrementing by 'months', you would increment by 'days'. 


 8-24-2016 10-59-08 AM.png


Then you can format the Date created by the Generate Rows Tool to find the day of the week using this formula: DateTimeFormat([Date],"%A"), filter for Sundays and count the number of rows. See the attached workflow v10.5 Generate Rows II.yxmd for an example of how to count Sundays. 


Another common use of the Generate Rows Tool is to duplicate the same row a certain number of times. In that case, you would use the Generate Rows Tool to add a "RowCount" to your data. The row count would start at 1 and increment by 1 until a limit is met: 


 8-24-2016 5-03-09 PM.png  


With help of the CharToInt() function, you can even use the Generate Rows Tool to increment letters. 

Lets say you have the following start and end letters: 


a - h

i - k

l - z


and you want to fill in the rest of the alphabet. 

You can convert the letter to a number using the CharToInt() function and then increment that number by one until you reach the ending letter:


8-24-2016 5-19-55 PM.png


Also see the attached v10.5 workflow Generate Rows - Letter.yxmd. 


By now, you should have expert-level proficiency with the Generate Rows Tool! If you can think of a use case we left out, feel free to use the comments section below! Consider yourself a Tool Master already? Let us know at if you’d like your creative tool uses to be featured in the Tool Mastery Series.


Stay tuned with our latest posts every Tool Tuesday by following Alteryx on Twitter! If you want to master all the Designer tools, consider subscribing for email notifications. 

16 - Nebula
16 - Nebula

Hey @HenrietteH

Am I right that the Generate Rows tool cannot generate a number of random rows because the return column is also the loop counter?


For example - in this post ( @MattD mentioned using to create test data.


If we were to do something similar with Alteryx - generate some random integers for example, I can only figure out how to do this in a 2 step process (if you want 100 random integers then generate 100 rows, and then use a formula tool to add a random int column).    Am I right that because the Generate Rows uses the output value as the loop value - random number generation of 100 numbers is impossible just using GenerateRows (because how would it count to 100)?


Thanks @HenrietteH





Hi @SeanAdams


Depending on what your ultimate goal is, there are a few things you can try..... 


The max counter in the condition expression can be a randomly generated integer so you end up with a different number of records each time  you run the workflow. 

4-18-2017 2-54-45 PM.png

You could wrap something like this in a macro so you don't have to rebuild it every time. 


There is also a Random Sample tool that allows you to pull a random sample of records from an existing data set. 






16 - Nebula
16 - Nebula

Thank you - this makes a lot of sense

5 - Atom

FYI that the Generate Rows.yxmd gave one error. Thanks.