spark-hdfs-tools 0.1.1

spark_hdfs_tools

spark_hdfs_tools

spark_hdfs_tools is a Python library that implements hdfs filesystem in sandbox

Installation

The code is packaged for PyPI, so that the installation consists in running:

Usage

wrapper run hdfs filesystem

Sandbox

Installation

!yes| pip uninstall spark-hdfs-tools

pip install spark-hdfs-tools --user --upgrade

IMPORTS

import os
import pyspark
from spark_hdfs_tools import dq_path_workspace
from spark_hdfs_tools import dq_download_jar
from spark_hdfs_tools import dq_spark_session

Variables

project_sda="SDA_37036"
url_conf = "http://artifactory-gdt.central-02.nextgen.igrupobbva/artifactory/gl-datio-spark-libs-maven-local/com/datiobd/cdd-hammurabi/4.0.9/DQ_LOCAL_CONFS/KCOG/KCOG_branch_MRField.conf"

Creating Workspace

dq_path_workspace(project_sda=project_sda)

Download haas jar

dq_download_jar(haas_version="4.8.0", force=True)

Spark Session

spark, sc = dq_spark_session()

Validate Conf

dq_validate_conf(url_conf=url_conf)

Extract Params

dq_extract_parameters(url_conf=url_conf)

Run

dq_run_sandbox(spark=spark,
               sc=sc,
               parameter_conf_list=parameter_conf_list,
               url_conf=url_conf)

License

Apache License 2.0.

New features v1.0

BugFix

• choco install visualcpp-build-tools

Reference

• Jonathan Quiza github.
• Jonathan Quiza RumiMLSpark.