Data Processing Efficiency in a 4 Node Configuration
What is the most efficient method for writing the total count of customer transactions to a sequential file in a 4 node configuration?
A. Sequential File Stage -> Aggregator Stage -> Sequential File Stage Auto partitioning is used for all stages. Select sequential for the Execution mode. B. Sequential File Stage -> Sort Stage -> Aggregator Stage -> Sequential File Stage. Auto partitioning is used for all stages. Sort method is used in the Aggregator stage C. Sequential File Stage -> Aggregator Stage -> Sequential File Stage Hash partitioning is used for all stages. Hash method is used in Aggregator Stage D. Sequential File Stage -> Sort Stage -> Aggregator Stage -> Sequential File Stage. Hash partitioning when reading from the sequential file. Auto partitioning for all other stages. Sort method is used in the Aggregator stage
Answer:
The most efficient method for writing the total count of customer transactions to a sequential file in a 4 node configuration is option C, which employs Hash partitioning at all stages and uses the hash method in the Aggregator Stage.
Explanation:
The question asks about the most efficient method to write the total count of transactions done by each customer into a sequential file using a 4 node configuration. To achieve efficient data processing and reduce the amount of data movement between nodes, it's important to ensure that the data is partitioned correctly before it reaches the Aggregator Stage. Option C, which uses Hash partitioning for all stages and uses the hash method in the Aggregator Stage, is the most efficient method.
This approach ensures that data is evenly distributed across all processing nodes, thereby optimizing the performance of the Aggregator Stage. With hash partitioning, all records for a given customer would be directed to the same node, enabling the Aggregator Stage to compute the transaction counts locally on each node, reducing the data shuffling across nodes and thus resulting in a more efficient aggregation process.