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2014-04-03-AWS.html
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<!DOCTYPE html>
<html>
<head>
<title>Data Mining</title>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
<style type="text/css">
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<body>
<textarea id="source">
name: inverse
layout: true
class: left, top, inverse
---
# Amazon Web Services
---
## Grant
+ $5,600 for this class
+ Store data in S3
+ Use mrjob on EMR
???
## No crazy
+ Overcharges go on my credit card!
+ Ask me before doing anything not discussed here
---
## S3
+ [S3](http://aws.amazon.com/s3/): Simple Storage Service
+ Can store and share large data files
+ Free bandwidth when processing with EMR
---
## ```s3cmd```
+ Upload / Download files
+ ```s3cmd --configure```
+ ```cat ~jretz/mrjob.conf``` to get answers to first two questions, defaults should work for the rest
+ ```s3cmd mb s3://i290-name``` ← your name or team name here
+ ```s3cmd put localfile s3://i290-name/data/```
???
## Configuration
+ check ```~jretz/mrjob.conf```
---
## Elastic MapReduce
+ ```python job.py -r emr -c ~jretz/mrjob.conf s3://i290-name/data/file```
+ ```-r emr``` : run on EMR instead of localhost
+ ```-c ~jretz/mrjob.conf``` : use a configuration file
+ 5 machines, can change with command line options
---
## Copying Keys
+ SSH keys are used to connect to server to check status
+ Copy my keys, set correct permissions
```bash
$ cp ~jretz/i290T-03.pem.shared ~/i290T-03.pem
$ chmod 0600 ~/i290T-03.pem
```
---
.tight-code[
```bash
$ s3cmd put yelp_academic_dataset.json.gz s3://i290-jretz/data/
# yelp_academic_dataset.json.gz -> s3://i290-jretz/data/yelp_academic_dataset.json.gz [1 of 1]
# 127506871 of 127506871 100% in 8s 13.60 MB/s done
$ cd datamining290/code/
~/datamining290/code$ python unique_review.py -v -r emr \
-c ~jretz/mrjob.conf \
--output-dir s3://i290-jretz/output/unique_review/ \
--no-output \
s3://i290-jretz/data/yelp_academic_dataset.json.gz
# ...
# Creating Elastic MapReduce job flow
# ...
# Job flow created with ID: j-EFG48CIR1APW
# ...
# Job launched 60.8s ago, status STARTING: Provisioning Amazon EC2 capacity
# ...
# Job launched 334.4s ago, status RUNNING: Running step (unique_review.jretz.20130406.171258.267523: Step 1 of 3)
# ...
# map 73% reduce 42%
# ...
# Counters from step 1:
# ...
~/datamining290/code$ s3cmd ls -r s3://i290-jretz/output/
# ...
# 2013-04-06 18:05 29 s3://i290-jretz/output/unique_review/part-00005
# ...
```
]
???
## Trade-offs
+ Jobs may take 5 minutes to spin up
+ Errors are harder to debug because they are mixed in with Hadoop and EMR
errors
---
## Extra Notes
+ Cannot overwrite output directory: choose a new one for each run
+ Errors may be hard to debug. Run locally with a sample of your data
+ Output from job will be split into files, recall the Hadoop video lecture
</textarea>
<script src="production/remark-0.5.9.min.js" type="text/javascript">
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var slideshow = remark.create();
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</body>
</html>