What is data locality in MapReduce?
An example of an AI chatbot conversation about data locality in MapReduce.
What is data locality in MapReduce?
Data locality refers to the concept of processing data where it is stored, minimizing data transfer.
Why is data locality important for performance?
It reduces network congestion and latency, leading to faster processing times and improved efficiency.
Can you give an example of how data locality works?
Sure! If a MapReduce job processes data stored on a specific node, it will run the task on that node to avoid transferring data.
What happens if data locality is not achieved?
Without data locality, tasks may need to transfer large amounts of data over the network, slowing down the overall process.
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