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Consider a dataset where you need to update multiple records in a Spark table (Type 1). Describe the different strategies you could employ to achieve this update efficiently. Discuss the pros and cons of each approach.
A
Use a full table overwrite, which is simple but can be inefficient and risky if the table is large and frequently accessed.
B
Use a merge operation if the table supports it, allowing conditional updates without overwriting the entire table.
C
Perform a selective update by filtering the DataFrame to only the rows that need updating, then writing these back to the table.
D
Use a combination of delete and insert operations to mimic an update, which can be granular and efficient but requires careful handling to avoid data inconsistencies.
