6.824 - Spring 2020

6.824 Lab 1: MapReduce

Due: Feb 14 23:59


Introduction

In this lab you'll build a MapReduce system. You'll implement a worker process that calls application Map and Reduce functions and handles reading and writing files, and a master process that hands out tasks to workers and copes with failed workers. You'll be building something similar to the MapReduce paper.

Collaboration Policy

You must write all the code you hand in for 6.824, except for code that we give you as part of assignments. You are not allowed to look at anyone else's solution, and you are not allowed to look at solutions from previous years. You may discuss the assignments with other students, but you may not look at or copy each others' code. The reason for this rule is that we believe you will learn the most by designing and implementing your lab solution yourself.

Please do not publish your code or make it available to current or future 6.824 students. github.com repositories are public by default, so please don't put your code there unless you make the repository private. You may find it convenient to use MIT's GitHub, but be sure to create a private repository.

Software

You'll implement this lab (and all the labs) in Go. The Go web site contains lots of tutorial information. We will grade your labs using Go version 1.13; you should use 1.13 too. You can check your Go version by running go version.

We recommend that you work on the labs on your own machine, so you can use the tools, text editors, etc. that you are already familiar with. Alternatively, you can work on the labs on Athena.

macOS

You can use Homebrew to install Go. After installing Homebrew, run brew install go.

Linux

Depending on your Linux distribution, you might be able to get an up-to-date version of Go from the package repository, e.g. by running apt install golang. Otherwise, you can manually install a binary from Go's website. First, make sure that you're running a 64-bit kernel (uname -a should mention "x86_64 GNU/Linux"), and then run:

$ wget -qO- https://dl.google.com/go/go1.13.6.linux-amd64.tar.gz | sudo tar xz -C /usr/local
You'll need to make sure /usr/local/bin is on your PATH.

Windows

The labs probably won't work directly on Windows. If you're feeling adventurous, you can try to get them running inside Windows Subsystem for Linux and following the Linux instructions above. Otherwise, you can fall back to Athena.

Athena

You can log into a public Athena host with ssh {your kerberos}@athena.dialup.mit.edu. Once you're logged in, to get Go 1.13, run:

$ setup ggo

Getting started

You'll fetch the initial lab software with git (a version control system). To learn more about git, look at the Pro Git book or the git user's manual. To fetch the 6.824 lab software:

$ git clone git://g.csail.mit.edu/6.824-golabs-2020 6.824
$ cd 6.824
$ ls
Makefile src
$

We supply you with a simple sequential mapreduce implementation in src/main/mrsequential.go. It runs the maps and reduces one at a time, in a single process. We also provide you with a couple of MapReduce applications: word-count in mrapps/wc.go, and a text indexer in mrapps/indexer.go. You can run word count sequentially as follows:

$ cd ~/6.824
$ cd src/main
$ go build -buildmode=plugin ../mrapps/wc.go
$ rm mr-out*
$ go run mrsequential.go wc.so pg*.txt
$ more mr-out-0
A 509
ABOUT 2
ACT 8
...

mrsequential.go leaves its output in the file mr-out-0. The input is from the text files named pg-xxx.txt.

Feel free to borrow code from mrsequential.go. You should also have a look at mrapps/wc.go to see what MapReduce application code looks like.

Your Job

Your job is to implement a distributed MapReduce, consisting of two programs, the master and the worker. There will be just one master process, and one or more worker processes executing in parallel. In a real system the workers would run on a bunch of different machines, but for this lab you'll run them all on a single machine. The workers will talk to the master via RPC. Each worker process will ask the master for a task, read the task's input from one or more files, execute the task, and write the task's output to one or more files. The master should notice if a worker hasn't completed its task in a reasonable amount of time (for this lab, use ten seconds), and give the same task to a different worker.

We have given you a little code to start you off. The "main" routines for the master and worker are in main/mrmaster.go and main/mrworker.go; don't change these files. You should put your implementation in mr/master.go, mr/worker.go, and mr/rpc.go.

Here's how to run your code on the word-count MapReduce application. First, make sure the word-count plugin is freshly built:

$ go build -buildmode=plugin ../mrapps/wc.go
In the main directory, run the master.
$ rm mr-out*
$ go run mrmaster.go pg-*.txt
The pg-*.txt arguments to mrmaster.go are the input files; each file corresponds to one "split", and is the input to one Map task.

In one or more other windows, run some workers:

$ go run mrworker.go wc.so
When the workers and master have finished, look at the output in mr-out-*. When you've completed the lab, the sorted union of the output files should match the sequential output, like this:
$ cat mr-out-* | sort | more
A 509
ABOUT 2
ACT 8
...

We supply you with a test script in main/test-mr.sh. The tests check that the wc and indexer MapReduce applications produce the correct output when given the pg-xxx.txt files as input. The tests also check that your implementation runs the Map and Reduce tasks in parallel, and that your implementation recovers from workers that crash while running tasks.

If you run the test script now, it will hang because the master never finishes:

$ cd ~/6.824/src/main
$ sh test-mr.sh
*** Starting wc test.

You can change ret := false to true in the Done function in mr/master.go so that the master exits immediately. Then:

$ sh ./test-mr.sh
*** Starting wc test.
sort: No such file or directory
cmp: EOF on mr-wc-all
--- wc output is not the same as mr-correct-wc.txt
--- wc test: FAIL
$

The test script expects to see output in files named mr-out-X, one for each reduce task. The empty implementations of mr/master.go and mr/worker.go don't produce those files (or do much of anything else), so the test fails.

When you've finished, the test script output should look like this:

$ sh ./test-mr.sh
*** Starting wc test.
--- wc test: PASS
*** Starting indexer test.
--- indexer test: PASS
*** Starting map parallelism test.
--- map parallelism test: PASS
*** Starting reduce parallelism test.
--- reduce parallelism test: PASS
*** Starting crash test.
--- crash test: PASS
*** PASSED ALL TESTS
$

You'll also see some errors from the Go RPC package that look like

2019/12/16 13:27:09 rpc.Register: method "Done" has 1 input parameters; needs exactly three
Ignore these messages.

A few rules:

Hints

Handin procedure

Before submitting, please run test-mr.sh one final time.

Submit your code via the class's submission website, located at https://6824.scripts.mit.edu/2020/handin.py/.

You may use your MIT Certificate or request an API key via email to log in for the first time. Your API key (XXX) is displayed once you logged in, which can be used to upload lab1 from the console as follows.

$ cd ~/6.824
$ echo XXX > api.key
$ make lab1

Check the submission website to make sure it thinks you submitted this lab!

You may submit multiple times. We will use the timestamp of your last submission for the purpose of calculating late days.


Please post questions on Piazza.