pyla 0.1.0b0

Why pyla?

Say you have certain jobs that you want to schedule and every job has certain attributes associated to it.

from pyla import entries
from pyla import fields

class Job(entries.Entry):
    id = fields.BaseField(primary=True)
    type = fields.BaseField(index=True)
    assigned_to = fields.BaseField(index=True)
    info = fields.BaseField(index=False)

j = Job(id=1, type='create', assigned_to='dush', info='testing')
j.save()

on calling save on that particular entry you will have following sorted sets available in redis

job
job:type:create
job:assigned_to:dush

Then you have the following awesome filtering abilities:

# Get all the jobs
Job.objects.all()

# Get jobs with type create
Job.objects.filter(type='create')

# Get jobs with either create or delete type
Job.objects.filter(type=['create', 'delete'])

# Get jobs which are assigened to dush
Job.objects.filter(assigned_to='dush')

# Get jobs which are assigened to dush or spam
Job.objects.filter(assigned_to=['dush', 'spam'])

# Get jobs which are assigened to dush and are of type create
Job.objects.filter(assigned_to='dush', type='create')

# Get jobs which are assigened to dush and are of type create or delete
Job.objects.filter(assigned_to='dush', type=['create','delete'])

# Get jobs which are assigened to dush or spam and are of type create or delete
Job.objects.filter(assigned_to=['dush', 'spam'], type=['create','delete'])

You can have any number of filters over the fields which were set to index. Obviously, the more indexes you have the slower your writes become.