pysparta 0.5.6

Library to help ETL using pyspark

Sparta

Library to help ETL using Pyspark.

Sparta is a simple library to help you work on ETL builds using PySpark.

Important Sources

• Apache Spark
• Smart Open
• Chispa

Installation

Install the latest version with pip install pysparta

Documentation

Sparta

Modules

Extract

This is a module with functions for extracting and reading data.

Example

from sparta.extract import read_with_schema

schema = 'epidemiological_week LONG, date DATE, order_for_place INT, state STRING, city STRING, city_ibge_code LONG, place_type STRING, last_available_confirmed INT'
path = '/content/sample_data/covid19-e0534be4ad17411e81305aba2d9194d9.csv'
df = read_with_schema(path, schema, {'header': 'true'}, 'csv')

Transformation

This is a module with data transformation functions

Example

from sparta.transformation import drop_duplicates

cols = ['longitude','latitude']
df = drop_duplicates(df, 'population', cols)

Load

This is a module with load and write functions.

Example

from sparta.load import create_hive_table

create_hive_table(df, "table_name", 5, "col1", "col2", "col3")

Others

This is a module with several functions that can help in ETL work.

Example

from sparta.secret import get_secret_aws

get_secret_aws('Nome_Secret', 'sa-east-1')

Supported PySpark / Python versions

Sparta currently supports PySpark 3.0+ and Python 3.7+.