# Data Extract
The extract module is responsible for getting the data from the source. In this module, basically, you can find the readers classes and its correlated.

### File Reader
The file reader class is responsible for reading the files from the source and return a Spark dataframe. There are two ways to read:

#### One dataset
If you want to read just one dataset, you have to follow this example:

~~~Python
from pyiris.ingestion.extract import FileReader
from pyiris.infrastructure import Spark

pyiris_spark = Spark()

file_reader_config = FileReader(
                                table_id='atos_inseguros', 
                                mount_name='consumezone', 
                                country='Brazil', 
                                path='Seguranca/AtosInseguros', 
                                format='parquet'
                                )
dataframe = file_reader_config.consume(spark=pyiris_spark)
~~~

#### More than one dataset
If you want to read more than one dataset, you have to use the class **pyiris.ingestion.extract.extract_service.ExtractService**. This class works as a service. Follow this example:

~~~Python
from pyiris.ingestion.extract import FileReader, ExtractService
from pyiris.infrastructure import Spark

pyiris_spark = Spark()

readers = [
    FileReader(table_id='atos_inseguros', 
               mount_name='consumezone', 
               country='Brazil', 
               path='Seguranca/AtosInseguros', 
               format='parquet'),
    
    FileReader(table_id='condicao_insegura', 
               mount_name='consumezone', 
               country='Brazil', 
               path='Seguranca/CondicaoInsegura', 
               format='parquet')
    ]
query = """
    SELECT 
        * 
    FROM 
        atos_inseguros 
    INNER JOIN
        condicao_insegura
    ON 
        atos_inseguros.ID == condicao_insegura.ID
"""

extract_service = ExtractService(readers=readers, query=query)
dataframe = extract_service.handler(spark=pyiris_spark)
~~~

To have more information, please, access the code docstring in **Pyiris modules**.