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Learn how to work with the `topValues()` aggregation in Palantir Foundry Functions to limit the output to a specific number of buckets.
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How to Limit the Number of Top Values When Aggregating in a Function?

When working with data in Palantir Foundry, one often needs to aggregate and analyze information efficiently. However, a common challenge arises when you want to limit the number of top values that you retrieve from a dataset. For example, if your goal is to group by a string property and you only want the top 10 values, you might find yourself feeling stuck when the default behavior returns all possible buckets instead.

The Problem at Hand

While attempting to utilize the topValues() aggregation, many users encounter a limitation: the function does not currently support setting a predefined bucket count. This lack of flexibility can lead to inefficiency, especially if you're forced to retrieve a large dataset and then manually filter it down to your desired number of results. Here’s a quick recap of the user’s original challenge:

Goal: Retrieve only the top 10 values for a given string property.

Default Behavior: topValues() returns all possible buckets, rather than a limited selection.

Current Workarounds:

A function that retrieves 1000 values but still requires filtering down to 10.

Use of potentially inefficient approaches without direct configuration options.

The Solution: Current Options

Currently, the best option available for limiting the number of top values when using topValues() in Palantir is to rely on some post-processing of the results. Though it might not be the most optimal solution from a performance standpoint, it remains workable.

Code Snippet Example

Here’s a code snippet that illustrates how you can achieve this by first retrieving a larger set of data and then sorting and slicing it to get your desired result:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Code:

Object.search().myObjectType(): This method initiates a search for your desired object type in the dataset.

.groupBy(): This function groups the records based on the specified string property.

.topValues(): This is called within the grouping to aggregate the values.

.sum(): This sums up the results after grouping and applying the topValues.

Sorting and Slicing: The results are sorted based on their values, and then the slice(0, 10) method is called to keep only the top 10 entries.

Future Enhancements

It’s worth noting that there is an ongoing feature request for an enhancement to include bucket count configuration directly within the topValues() function. If implemented, this feature could streamline the process considerably. However, as of now, it remains important to understand that knowing the sizes of other buckets is typically necessary for optimizing calculations.

Conclusion

In summary, while the topValues() function in Palantir Foundry does not currently allow users to set a limit on the number of buckets directly, you can still obtain your desired results through a simple workaround. Utilize the approach of retrieving a larger dataset and then filtering it down to the top values through sorting and slicing. Keep an eye out for future updates that may offer a more effective solution!

Feel free to experiment with the provided code snippet in your projects, and don’t hesitate to share your findings or improvements with the community.