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pyDrill-dsl

Documentation Status

Pythonic DSL for Apache Drill.

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

Features

Installation

Version from https://pypi.python.org/pypi/pydrill_dsl:

$ pip install pydrill_dsl

Latest version from git:

$ pip install git+git://github.com/PythonicNinja/pydrill_dsl.git

Sample usage

from pydrill_dsl.resource import Resource

class Employee(Resource):
    first_name = Field()
    salary = Field()
    position_id = Field()
    department_id = Field()

    class Meta:
        storage_plugin = 'cp'
        path = 'employee.json'
        # by default it uses pydrill
        # example of using pydobc
        # database = Drill({'dsn': 'Driver=/opt/mapr/drillodbc/lib/universal/libmaprdrillodbc.dylib;ConnectionType=Direct;Host=127.0.0.1;Port=31010;Catalog=DRILL;AuthenticationType=Basic Authentication;AdvancedProperties=CastAnyToVarchar=true;HandshakeTimeout=5;QueryTimeout=180;TimestampTZDisplayTimezone=utc;ExcludedSchemas=sys,INFORMATION_SCHEMA;NumberOfPrefetchBuffers=5;UID=[USERNAME];PWD=[PASSWORD]'})

Employee.select().filter(salary__gte=17000)

Employee.select().paginate(page=1, paginate_by=5)


salary_gte_17K = (Employee.salary >= 17000)
salary_lte_25K = (Employee.salary <= 25000)
Employee.select().where(salary_gte_17K & salary_lte_25K)

Employee.select(
    fn.Min(Employee.salary).alias('salary_min'),
    fn.Max(Employee.salary).alias('salary_max')
).scalar(as_tuple=True)

# creation of resource can be done without creation of class:
employee = Resource(storage_plugin='cp', path='employee.json',
                    fields=('first_name', 'salary', 'position_id', 'department_id'))