If you have hundreds or thousands of records that require input it might be worthwhile contacting the developer to have a conversation about a bulk import.

Going forward there are two other methods.

Firstly users can navigate to Sampling + Other / All Samples List – which should look similar to the following.

Then hit ADD NEW button which should reveal the following screen.

A particularly important field is the Sample Source field this is where you tie the sample to the casks.

The resullting drop down values are a concatenation of the cask number \ year of fill and calculated cask no. So for instance if you wanted to input a sampling belonging to cask 38 from 2018 you could start typing in 38 or alternatively you could scroll down to the cask. The calculated cask number is the last two digits of the year multiplied by 10000 and then added to the cask number. This number can be used in several other screens to quickly find a cask fill.

The second suggested method to add this information or view it is to go in through the screen LINKS and Casks. To access this navigate to the opening menu screen and then select the button.

Next navigate to cask 38 from 2018 you can do several things. You can do an advanced search alternatively you could place 180038 in the search field and hit the search icon. In my database this returns the following record.

And clicking on the brown numbered button here marked 2 second from the left we should see 2 samples relating to this cask appear.

By hitting ADD NEW here you can add further samples but you will only be allowed to create samples solely against this cask. If you wished to add a further sample to an alternate cask using this method you would first need to clear the search then find the cask you wish to sample and then go into the lower tab and hit ADD NEW in the correct tab. I would suggest this is slightly more time consuming than the former method if you have a number of samples to enter. It should be noted that any casks entered in the former method will appear as numbers next to their respective casks in this screen. In this way we make full benefit of the background relational database so that we can see all samples either individually listed to their casks or aggregated as a single list. Both views are useful but the aggregation is for instance easier to search. Both methods can be used to edit the information and for sorting although the second method will only sort the samples within their cask grouping whereas the aggregation will sort samples throughout the whole list.

You can read more about how to see the net effect of samples on casks by following going here -> link