Installation

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

Alternate Virtualenv Installation

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

$ mkvirtualenv qubole $ <path-to-virtualenv>/bin/python setup.py install

Which will install qds.py within your virtualenv.

CLI

qds.py allows running Hive, Hadoop, Pig and Shell commands against QDS. Users can run commands synchronously - or submit a command and check it’s 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”, … }

SDK API

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