Hi Aditya, thank you for your email. There are three Wayang operators: Reduce, ReduceBy, and GlobalReduce. Let me first explain the latter two, which have completely different functionality and thus output.
The ReduceByOperator aggregates data based on groups defined by a key. So data containing the same key will be aggregated. It's as a groupby followed by an aggregation in SQL or as the reduce phase in the wordcount task. In Spark, it would be a reducebyKey() operation. The GlobalReduceOperator performs a total aggregate over all data points. So it brings all data in a single place and makes the aggregate. In Spark, it would be the respective reduce() operation. You can take a look at one of their platform implementations to check which operators it calls in Spark, for example, or in Java streams. Now the ReduceOperator was meant more as a convenience operator for users. If it is preceded by a GroupByOperator, it's meant to be the ReduceBy, and otherwise the GlobalReduce. However, currently this operator does not have any platform implementation. So I would recommend to not use it. Hope this helps. Let us know if not. Best -- Zoi Στις Τρίτη 5 Σεπτεμβρίου 2023 στις 09:40:53 μ.μ. CEST, ο χρήστης Aditya Goel <[email protected]> έγραψε: Dear Wayang Community, I hope this email finds you well. I am reaching out to seek clarification regarding the usage and differences between the ReduceOperator and GlobalReduceOperator classes. Here are the specific questions I have: 1. Use Cases: Could you please explain the typical use cases or scenarios where it is appropriate to use the ReduceOperator class, and when it is more suitable to use the GlobalReduceOperator class? I want to ensure that we are selecting the right operator for our aggregation needs. 2. Functionality: What are the key functional differences between these two operators? Are there any performance or scalability considerations that should inform our choice between them? 3. Best Practices: Are there any best practices or recommended patterns for configuring and using these operators efficiently? Any tips or pitfalls we should be aware of? Thank you in advance for your time and assistance. I look forward to hearing from you and benefiting from your insights. Best regards, Aditya Goel
