SPS-C01 Exam Dumps | You have a Snowpark DataFrame named containing order data that needs to be inserted into the 'ORDERS

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Question 108/151

You have a Snowpark DataFrame named containing order data that needs to be inserted into the 'ORDERS table. However, due to a recent data ingestion issue, some records in might already exist in the 'ORDERS table based on the 'ORDER ID' column. Your goal is to insert only the new orders into the 'ORDERS table while avoiding duplicates. Which of the following approaches, combining efficiency and correctness, is most suitable for this task? Assume 'session' and required libraries are already imported.

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: A,C

Options A and C are both suitable and efficient. Option A uses a 'left_anti' join to identify records in 'staged_orders' that do not exist in the 'ORDERS' table based on 'ORDER ID. This is a standard and efficient way to filter out existing records using Snowpark's DataFrame operations. Option C suggests a stored procedure with a MERGE statement, which is highly efficient for upsert operations directly within Snowflake. Option B is inefficient because it collects all the order IDs from the 'ORDERS table into the driver's memory, which could cause memory issues with large datasets. Option D is incorrect as 'on_duplicate_key' is not a valid parameter for insert_into method. Option E is using pandas dataframe to insert, which might not perform well in terms of scale.

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