Library to help ETL using Pyspark.
Sparta is a simple library to help you work on ETL builds using PySpark.
Install the latest version with pip install pysparta
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')
This is a module with data transformation functions
Example
from sparta.transformation import drop_duplicates
cols = ['longitude','latitude']
df = drop_duplicates(df, 'population', cols)
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")
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')
Sparta currently supports PySpark 3.0+ and Python 3.7+.
FAQs
Library to help ETL using pyspark
We found that pysparta demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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