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.

Simulated

Use a full table overwrite, which is simple but can be inefficient and risky if the table is large and frequently accessed.

9.8%

Use a merge operation if the table supports it, allowing conditional updates without overwriting the entire table.

57.7%

Perform a selective update by filtering the DataFrame to only the rows that need updating, then writing these back to the table.

15.5%

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.

17.0%

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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.