spark_datax_schema_tools
Project description
spark_datax_schema_tools
spark_datax_schema_tools is a Python library that implements for dataX schemas
Installation
The code is packaged for PyPI, so that the installation consists in running:
pip install spark-datax-schema-tools
Usage
wrapper take schemas for DataX
example1: (generate dummy_data)
================================
from spark_datax_schema_tools import generate_components
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local[*]").appName("SparkAPP").getOrCreate()
df2 = generate_components(spark=spark,
path_excel="/content/Summary RQ22021-HF1.xlsx",
uuaa_name="NZTG",
table_name="t_nztg_trade_core_inf_bo_eom")
df2.show2()
example2: (generate transmission detail with schema json)
============================================================
from spark_datax_schema_tools import generate_transmission_holding
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local[*]").appName("SparkAPP").getOrCreate()
df2 = generate_transmission_holding(spark=spark,
uuaa_name="NZTG",
table_name="t_nztg_trade_core_inf_bo_eom",
table_version="0",
frequency="monthly",
group="CIB",
solution_model="CDD",
path_excel="Summary RQ22021-HF1.xlsx")
example3: (generate transmission detail without schema json)
============================================================
from spark_datax_schema_tools import generate_transmission_holding
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local[*]").appName("SparkAPP").getOrCreate()
df2 = generate_transmission_holding(spark=spark,
uuaa_name="NZTG",
table_name="t_nztg_trade_core_inf_bo_eom",
table_version="0",
frequency="monthly",
group="CIB",
solution_model="CDD")
Parameter functions
===================
generate_transmission_holding:
frequency: ["daily", "monthly"]
group : ["CIB", "CLIENT_SOLUTIONS", "CORE_BANKING", "GLOBAL_DATA", "RISK_FINANCE"]
solution_model: ["CIB", "CDD"]
License
New features v1.0
BugFix
- choco install visualcpp-build-tools
Reference
- Jonathan Quiza github.
- Jonathan Quiza RumiMLSpark.
- Jonathan Quiza linkedin.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for spark_datax_schema_tools-0.0.33.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e5ad046313668ffe6e9b352b3e8fb8d3a80a893245b52f3c2bd80917971f4811 |
|
MD5 | 6887a2990c1b7d64075bbe08e0956931 |
|
BLAKE2b-256 | db0db15fcf2b020b7814995a3f784ddd4ad16b39082d845e1c26d6fc6c178fba |
Close
Hashes for spark_datax_schema_tools-0.0.33-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dca3d892eddde731fcc86129397cd0c5ec325c1caae90c847ae8ab49a54338fe |
|
MD5 | 3abf4945dbb2dd0a8cee0a3c83e729ee |
|
BLAKE2b-256 | 07e0554c05307b980e310a01bd84bb4b917e6dbd2abb2aa178483bd070bc6ec2 |