mapreduce 0.2.4

A Python-based, distributed MapReduce solution.

**This project is still under active development, though largely finished. It is currently being tested in a production environment.**


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Vocabulary
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===============
Installing JobX
===============

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Dependencies
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- *go*:

$ sudo apt-get install golang

- *etcd*:

$ git clone [e-mail]:coreos/etcd.git
$ cd etcd
$ ./build

$ sudo mkdir /var/lib/etcd
$ sudo bin/etcd -addr=127.0.0.1:4001 -peer-addr=127.0.0.1:7001 -data-dir=/var/lib/etcd -name=etcd1

- *nsq*:

$ sudo apt-get install gpm
$ mkdir ~/.go
$ GOPATH=~/.go go get github.com/bitly/nsq/...
$ sudo mkdir /var/lib/nsq
$ cd /var/lib/nsq
$ sudo ~/.go/bin/nsqlookupd
$ sudo ~/.go/bin/nsqd --lookupd-tcp-address=127.0.0.1:4160

- Install Nginx.

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Configuration
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1. Configure Nginx:

upstream mapreduce {
server unix:/tmp/mr.gunicorn.sock fail_timeout=0;
}

server {
listen 80;

server_name job1.domain;
keepalive_timeout 5;

access_log /tmp/nginx-mr-access.log;
error_log /tmp/nginx-mr-error.log;

location /s {
root /usr/local/lib/python2.7/dist-packages/mr/resources/static;
try_files $uri $uri/ =404;
}

location / {
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $http_host;
proxy_redirect off;

proxy_pass http://mapreduce;
}
}

2. Create workflow:

MR_ETCD_HOST=job1.domain MR_WORKFLOW_NAMES=build mr_kv_workflow_create build "Jobs that assist build and deployment."

3. Load handlers:

..write and load handlers

4. Load steps:

..create step(s)

5. Load jobs:

..create job

6. Start:

MR_ETCD_HOST=job1.domain MR_ETCD_PORT=4001 MR_WORKFLOW_NAMES=build mr_start_gunicorn_dev