Do Apache Spark YARN configurations and tuning depend on the size of data to be analysed?

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To be specific to the question, Yes. Various other factors play role in defining configurations for your spark or YARN jobs. Most important of all is number of cores, RAM available and expected data to be processed. However you can only make intelligent guesses on container size, executer memory etc...
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To be specific to the question, Yes. Various other factors play role in defining configurations for your spark or YARN jobs. Most important of all is number of cores, RAM available and expected data to be processed. However you can only make intelligent guesses on container size, executer memory etc upfront but they can be changed at the job level or at the cluster level depending on the size of data. read less
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TECHNICAL ARCHIECT & LEAD ENGINEER – GEN AI & DATABRICKS, CLOUD (AZURE, AWS), DEVOPS, DBT

There is no specific size here . we can use any volume of data like 10TB,1000TB . we can configure block size which is bydefault 128MB in spark . it can be increased also .
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