A Python module that provides the tools you need to authenticate with, and use the Qubole Data Service API.

Run the following command (may need to do this as root):

$ python setup.py install

This should place a command line utility qds.py somewhere in your path

$ which qds.py
/usr/bin/qds.py

Alternatively, if you use virtualenv, you can do this:

$ cd qds-sdk-py
$ virtualenv venv
$ source venv/bin/activate
$ python setup.py install

Which will install qds.py within your virtualenv.

qds.py allows running Hive, Hadoop, Pig, Presto and Shell commands against QDS. Users can run commands synchronously - or submit a command and check its status.

$ qds.py -h  # will print detailed usage

Examples:

1. run a hive query and print the results

   $ qds.py --token 'xxyyzz' hivecmd run --query "show tables"
   $ qds.py --token 'xxyyzz' hivecmd run --script_location /tmp/myquery
   $ qds.py --token 'xxyyzz' hivecmd run --script_location s3://my-qubole-location/myquery
   

2. pass in api token from bash environment variable

   $ export QDS_API_TOKEN=xxyyzz
   

3. run the example hadoop command

   $ qds.py hadoopcmd run streaming -files 's3n://paid-qubole/HadoopAPIExamples/WordCountPython/mapper.py,s3n://paid-qubole/HadoopAPIExamples/WordCountPython/reducer.py' -mapper mapper.py -reducer reducer.py -numReduceTasks 1 -input 's3n://paid-qubole/default-datasets/gutenberg' -output 's3n://example.bucket.com/wcout'
   

4. check the status of command # 12345678

   $ qds.py hivecmd check 12345678
   {"status": "done", ... }
   

An example Python application needs to do the following:

1. Set the api_token:

   from qds_sdk.qubole import Qubole
   
   Qubole.configure(api_token='ksbdvcwdkjn123423')
   

2. Use the Command classes defined in commands.py to execute commands. To run Hive Command:

   from qds_sdk.commands import *
   
   hc=HiveCommand.create(query='show tables')
   print "Id: %s, Status: %s" % (str(hc.id), hc.status)
   

example/mr_1.py contains a Hadoop Streaming example