At a high level, what is the purpose of the following mapper and reducer combination? Mapper FOR EACH line IN input FOR EACH number IN line emit (<”s”, number^2>) Reducer t = 0 FOR EACH value IN input list t = t + value emit(<”t”, t>)
Added by Lauren S.
Step 1
For each line, it iterates over each number present in that line. Show more…
Show all steps
Your feedback will help us improve your experience
Akash M and 58 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
At a high level, what is the purpose of the following mapper and reducer combination? Mapper: FOR EACH line IN input v = -inf FOR EACH number IN line IF number > v, THEN v = number emit ("v", v) Reducer: FOR EACH line IN input v = -inf FOR EACH number IN line IF number > v, THEN v = number emit ("v", v) Does not produce any output Computes the maximum integer in the input
Akash M.
MapReduce on Databases is the magic behind Big Data processing. One important note is that there is usually lots of metadata in the tuple that was not included in the board exercises. In this problem, the metadata of a tuple is indicated as a sub-tuple. For example: v = ((1, A), Kansas, 6) means that this tuple has a primary key 1 and lives in table A. We can access it with v.meta.table = 'A' and v.meta.key = 1, and we can access the tuple data with v.state = 'Kansas' and v.x = 6. Relations A and B have the same schema with three columns (key, state, x). a) Write map and reduce code to perform an inner join between relation A and B on the key-columns. b) Say there are 3 mappers over three servers and 1 reducer. For the data and code, show the actual values that are: 1. Output from each of the 3 mappers 2. Input to the reducer 3. Output from the reducer Write the data, be verbose. Server1: (1, ((1, A), Kansas, 6)) (2, ((2, A), Indiana, 11)) Server2: (4, ((4, B), Washington, 12)) (3, ((3, B), New York, 29)) (1, ((1, B), Vermont, 3)) Server3: (3, ((3, A), Idaho, 4)) (2, ((2, B), Illinois, 20)) public void map(key k, tuple v): public void reduce(key k, list v):
What is the primary purpose of using a pipeline in machine learning? A) To increase the speed of the algorithm. B) To ensure consistent and automated application of a sequence of data transformations and modeling. C) To reduce the dimensionality of the dataset. D) To perform feature selection automatically.
Lucas F.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD