dm:tail: This cfxdm tag allows the user to fetch the last 'n' rows from the queried data.
dm: tail syntax:
n (optional). Specify the number of last rows that need to be listed. When this argument is not specified, by default it retrieves the last 10 rows.
This section explains how users can use a CSV file loaded into a dataset. This saved dataset will be used to explain how the dm: tail function can be used to check the tail of the stored dataset.
Default dm: tail functionality is captured in this example.
Step 1: Download 'incidents.csv' to the AIOps RDA environment as shown below from the local file system.
Downloaded file on local filesystem Step 2: Upload the file 'incidents.csv' to AIOps studio using file-browser (as shown below)
Screenshot displays how to upload a file into AIOps Studio. Step 3: Add a new empty pipeline with the name "dm_tail_example_1" as shown below and click the "Save" button (this step will create an empty pipeline and saves it to AIOps studio).
Step 4: Add the following pipeline commands into the empty pipeline text field that you have created in above Step 3.
You can copy the below code into your pipeline and execute that in your environment.
##### This pipeline loads incidents.csv file into AIOps Studio.
##### AIOps studio stores the data loaded from incidents.csv file
##### into local dataset named 'incident-summary'.
##### prints the data that was stored
@files:loadfile filename = "incidents.csv"
--> @dm:save name = 'incidents-summary'
--> *dm:filter *
Step 5: Check the data from incidents.csv by executing the pipeline and verifying using inspect data as shown below (screenshot -1 & screenshot-2)
Step 6: Now, add the following additional pipeline code to use the dm: tail function to the previously created pipeline from Step-4 as shown below (Edit and add the following pipeline code) and click verify to verify the pipeline code as shown below.
##### This pipeline loads incidents.csv file into AIOps Studio.
##### AIOps studio stores the data loaded from incidents.csv file
##### into local dataset named 'incident-summary'.
##### prints the data that was stored
@files:loadfile filename = "incidents.csv"
--> @dm:save name = 'incidents-summary'
--> *dm:filter *
--> @dm:tail
Pipeline code is verified using 'Verify' button as shown above. Step 7: Click execute button and execute the pipeline. RDA will execute the pipeline without any errors (as shown below)
Successful execution of pipeline using dm function 'dm:tail' and prints output Step 8: RDA uses the dm tail function to perform the selection of last/tail '10' rows and prints to output as shown below. In addition, it displays the number of rows that were selected by default "dm: tail" function that was run on the dataset stored off-of incidents.csv file.
Successful execution of pipeline using dm function 'dm:tail' (default) and prints output Default dm: tail functionality is captured in this example using sort functionality
Step 3: Add a new empty pipeline with the name "dm_tail_example_2" as shown below and click the "Save" button (this step will create an empty pipeline and saves it to AIOps studio)
and add the following pipeline commands into the pipeline text field.
You can copy the below code into your pipeline and execute that in your environment.
##### This pipeline loads incidents.csv file into AIOps Studio.
##### AIOps studio stores the data loaded from incidents.csv file
##### into local dataset named 'incident-summary'.
##### prints the data that was stored
@files:loadfile filename = "incidents.csv"
--> @dm:save name = 'incidents-summary'
--> *dm:filter *
--> dm:sort columns = 'Summary'
--> dm:tail
Pipeline code is verified using 'Verify' button as shown above. Step 4: Click execute button and execute the pipeline. RDA will execute the pipeline without any errors (as shown below)
Successful execution of pipeline using dm function 'dm:tail' with dm:sort and prints output Step 5: RDA uses the dm tail function to perform the selection of bottom rows and prints to output as shown below (also using dm: sort). In addition, it displays the number of rows that were selected by default "dm: tail" function that was run on the dataset stored off-of incidents.csv file.
Successful execution of pipeline using dm:tail along with dm:sort and prints output 
