> For the complete documentation index, see [llms.txt](https://docs.cloudfabrix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudfabrix.io/rda/rda-userguide/rda-aiops-studio/examples-jupyter/data-mapping-cfxdm-dm-functions/highest.md).

# Highest

**Highest**\
Returns highest non-null value from the list of integer values. \
@param default (optional), Type int. \
If provided none of the input values are non-null, returns default. \
Input must be a number or list of numbers. 

This function is helpful when a user wants to get the highest value from a dataset (or set of column values).

### Example 1: 

Step 1: Create an empty **highest\_example\_1** using AIOps studio as shown in the below screenshot.

![](/files/-MdZY5IsDgU8gdqstzNv)

Step 2: Add the following pipeline code/commands into the above-created pipeline as shown in the below screenshot:

You can copy the below code into your pipeline and execute that in your environment.\
\
\&#xNAN;*`##### This pipeline creates a list of rows with various numbers (int values) for various`* \
*`##### ids using AIOps studio.`*\
\
*`##### RDA function highest is used to demo this example. In this pipeline, each row added`*\
*`##### has three columns with various numerical values. Pipeline uses RDA dm function`* \
*`##### highest to pick the highest value from set of values and prints that highest value`*\
*`##### for each row/id.`* \
\
*`@dm:empty`* \
*`--> @dm:addrow id = 'a1' & x = 10 & y = 3 & z = 9`*\
*`--> @dm:addrow id = 'a2' & x = 1 & y = 13 & z = 4`*\
*`--> @dm:addrow id = 'a3' & x = 7 & y = 3  & z = 3`*\
*`--> @dm:addrow id = 'a4' & x = 4 & y = -1 & z = 9`*\
*`--> @dm:map to = "MAX_VALUE" & from = "x,y,z" & func = 'highest'`*

![](/files/-MdZYIDdkn9mCyPx6Zn_)

Step 3: Click verify button to make sure syntax and pipeline code is correct (as shown below)

![Pipeline code is validated by selecting verify button](/files/-MdZZTg-pEJtbtB1-P12)

Step 4:  Click execute button and execute the pipeline. RDA will execute the pipeline without any errors (as shown below)

![](/files/-MdZfKGKxyPYkdlgsdxO)

Step 5: RDA uses the dm function 'highest' to select the 'highest' numerical number (or value) from the dataset and map that to variable "MAX\_VALUE" and prints the output for each dataset (or row) as shown in the following screenshot.

![](/files/-MdZflcDiytcXfa9BPCh)