Question
What is the primary purpose of the Reduce phase in
MapReduce?Solution
The Reduce phase in MapReduce aggregates the intermediate key-value pairs generated during the Map phase. It performs operations like summing, averaging, or concatenating, depending on the problem at hand. The results are then written to HDFS. Example: In a word count application: • Map phase: Generates intermediate pairs like (word, 1). • Reduce phase: Aggregates these pairs to compute total counts like (word, total_count). This separation of concerns ensures scalability and parallelism in Big Data processing. ________________________________________ Why Other Options Are Incorrect: 1. Splitting input data into smaller chunks: This is done in the InputSplit phase, not during Reduce. 2. Processing key-value pairs to generate intermediate data: This occurs in the Map phase, not in the Reduce phase. 3. Shuffling and sorting intermediate data: The Shuffle and Sort step precedes the Reduce phase and ensures data is organized for aggregation. 4. Storing the processed data in HDFS: This is the final output phase, unrelated to the logic of the Reduce phase.
How many steps will be required to get the final output from the following input?
Input: 183 35 553 201 273 249 511 91
Who sits second to the right of the one who order from Amazon?
यदि एक घड़ी का प्रतिबिम्ब दर्पण में दिखाई दे रहा है जिसमें 9...
What is Java?
What will come in the place of question mark to make F is mother of H, in expression C # D $ E @ F & G ? H?
How many seats are between P and O when counted from the left of O?
If H = I, F ≥ G, H < G and J > I , then which of the following conclusion is true?
Which one is used to protect computers from viruses?
From the given alternative words, select the word which can be formed using the letters of the given word - TABULATION
In the question below, two statements (I) and (II) are given. These statements may be either independent causes or may be effects of independent causes...