> 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/loop-operations.md).
# Loop Operations
##
{% hint style="info" %}
Looping functionality will work on the datasets which were created by loading files into RDA and/or via logical dataset creation from other datasets.
{% endhint %}
## 1. Timed loop
Step 1: Create an empty **timed\_loop\_example\_1** using AIOps studio as shown in the below screenshot
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.
\
*`###### Pipeline for timed loop: Sleeps 'interval' seconds after each iteration.`*\
*`###### if the max_iterations is specified, loop will stop after max_iterations reached`*\
*`###### each iteration as variable loop_index set (starts at 0 and increments by 1)`*\
\
*`@c:timed-loop interval = '3' & max_iterations = 10`*\
*`--> @dm:empty`*\
*`--> @dm:addrow message = "This is row number ${loop_index}"`*\
*`--> @dm:save name = "temp-df-${loop_index}"`*\
\
*`--> @c:new-block`*\
*`--> @dm:concat names = "temp-df-.*"`*
Step 3**:** Click verify button to verify the pipeline. RDA will verify the pipeline without any errors (as shown below)
Step 4**:** Click execute button to execute the pipeline. RDA will execute the pipeline without any errors (as shown below)
RDA executes a looping-based pipeline and prints the loop details as shown in the above screenshot. During each iteration/loop, the pipeline screen updates the iteration number as shown in the above screenshot.
After iterating through max\_iterations, pipeline data is stored in output and exits.
Step 5: Verify the data after the timed loop operation is completed as shown in the below screenshot (data is printed for 10 iterations in this example).
## 2. Count loop
Step 1: Create an empty **count\_loop\_example\_1** using AIOps studio as shown in the below screenshot.
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.
\
*`###### Pipeline for count loop: starts with 'start' number and increment by using`*\
*`###### 'increment' until the value is greater then equal to 'end' variable`*\
*`###### value for the each iteration is set as 'loop_index'`* \
\
*`@c:count-loop start = 0 & end = 10 & increment = 1`*\
*`--> @dm:empty`*\
*`--> @dm:addrow message = "This is row number ${loop_index}"`*\
*`--> @dm:save name = "temp-df-${loop_index}"`*\
*`--> @c:new-block`*\
*`--> @dm:concat names = "temp-df-.*"`*
Step 3**:** Click verify button to verify the pipeline. RDA will verify the pipeline without any errors (as shown below)
Step 4**:** Click execute button to execute the pipeline. RDA will execute the pipeline without any errors (as shown below)
RDA executes a loop-count-based pipeline and prints the loop details as shown in the above screenshot. During each iteration/loop, the pipeline screen updates the iteration number as shown in the above screenshot.
After iterating till 'end', pipeline data is stored in output and exits.
