Question: Suppose you encounter an OOM (Out of Memory) issue while performing a broadcast join. What is likely cause this happen? How do you deal with

Suppose you encounter an OOM (Out of Memory) issue while performing a broadcast join. What is likely cause this happen? How do you deal with this situation?

1. Suppose you are working with a file csv Source 2. With Adaptive Query Execution, things become more comfortable for developers as Spark will do the partition coalescing automatically. What this statement means? 3. Explain core parts of a structured streaming application as shown in Figure

Suppose you encounter an OOM (Out of Memory) issue while performing a

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