From a895de5449f57734f870209f2c82b6fb0a23e8fb Mon Sep 17 00:00:00 2001 From: Andrea Smith Date: Mon, 5 Oct 2020 23:05:28 -0500 Subject: README formatting --- P1/README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) (limited to 'P1') diff --git a/P1/README.md b/P1/README.md index ea3f362..b36573e 100644 --- a/P1/README.md +++ b/P1/README.md @@ -1,19 +1,21 @@ +# CSCI 4061: Project 1 + test machine: apollo.cselabs.umn.edu date: 10/3/2020 name: Andrea Smith , Matt Strapp x500: smit9523, strap012 -The purpose of this program is to recreate the mapreduce programming model for Big Data Analytics. In order to compile this program, simply run the included Makefile, which takes no arguments. +The purpose of this program is to recreate the mapreduce programming model for Big Data Analytics. In order to compile this program, simply run the included Makefile, which takes no arguments. Program structure: mapreduce.c: Mapreduce is the master phase of this program. It is responsible for calling the mapper and reducer processes. It will wait for each process to finish executing before exiting the code. mapper.c: - Mapper receives a chunk of data and emits it into an intermediate data structure, which is a two-level linked list. writeIntermediateDS() formats the data, writing each word and its associated "1's" in the form "word 1 1 1..." to its own file, word.txt. + Mapper receives a chunk of data and emits it into an intermediate data structure, which is a two-level linked list. writeIntermediateDS() formats the data, writing each word and its associated "1's" in the form "word 1 1 1..." to its own file, word.txt. reducer.c: Reducer receives the word.txt files and "reduces" them into n files (where n is an input) containing the words and amount of 1's associated with the word in the format "word number_of_1's" Team Contributions: -As can be seen by the number of back-and-forth GitHub commits, this project was thoroughly a team effort. However, for the purposes of appropriating (what I am sure will be) praise from the professors and TA's (just kidding!), Matt wrote mapreduce, Andrea wrote reducer, and mapper was written by both of us. \ No newline at end of file +As can be seen by the number of back-and-forth GitHub commits, this project was thoroughly a team effort. However, for the purposes of appropriating (what I am sure will be) praise from the professors and TA's (just kidding!), Matt wrote mapreduce, Andrea wrote reducer, and mapper was written by both of us. -- cgit v1.2.3