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This source code is a simple example the way how to upload image and save it to HDFS. This program will connect HDFS via webhdfs. Actually, it is easier than you think. The most dificulty is preparing environment to test your source code

PREREQUISITE:

  • python3
  • virtualenv
  • pip
  • Flask==0.10.1
  • Hadoop with webhdfs

INSTALLATION:

To install Hadoop, pleas take a look at https://github.com/thanhson1085/docker-cloudera-quickstart

I will show you the detail, just hope that it will save your time.

At the first, using Docker to clone docker-cloudera-quickstart to your local.

docker pull thanhson1085/docker-cloudera-quickstart

And run that image, and please do not forget expose webhdfs port(50070, 50075):

docker run -i -t -d -p 50070:50070 -p 50075:50075 --name webhdfs thanhson1085/docker-cloudera-quickstart

There is 2 ways to run my source code. I recommend you using Docker

Using Docker

docker run -i -t -d -p 5000:5000 --name flask-webhdfs --link webhdfs:webhdfs thanhson1085/flask-webhdfs

Install in normal way

There is a trick here. You have to edit /etc/hosts file to your machine know where is HDFS server.

HDFS_IP_ADDRESS webhdfs

Finally, you have a HDFS Server with webhdfs support.

Clone this source code to your local

git clone https://github.com/thanhson1085/flask-webhdfs.git

Run the commands below to install and create environment to run the application

virtualenv -p /usr/bin/python3 env
source env/bin/activate
cp config/config.py.dev config/config.py
pip install -r requirements.txt  
python run.py  

Test

I integrated swagger in this app. So you can use Swagger UI to test this app. And you can find swagger schema at http://localhost:5000/docs

After upload the files. You can use hadoop command to look up in hdfs.

Go to Hadoop server:

sudo docker exec -it webhdfs bash

List files in hdfs:

hadoop fs -ls /tmp/thanhson1085/data

The output should be:

root@88ab8921561e:/# hadoop fs -ls /tmp/thanhson1085/data
Found 1 items
-rwxr-xr-x   1 thanhson1085 supergroup      18113 2015-07-31 04:59 /tmp/thanhson1085/data/0aceccea-0830-4443-bec9-08c48946d0cc-medium.jpeg

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  • Python 91.6%
  • Dockerfile 8.4%