Package: hadoop-inspector
Hadoop_InspectorTo review our complete set of documentation please see ourwiki
pageBackgroundData quality problems have plagued analytical systems for twenty years:
continually appearing in the top four reasons for project failure.In this space data quality problems loom large - a small defect that
could be safely ignored or forgotten in the transactional world hamper
queries and cause users to question our credibility for months.The advent and innovation in Big Data and Data Science has not
diminished this challenge. On Hadoop specifically: * Data generally
lacks any enforced constraints to ensure data validity * Data is being
added faster than ever, with less time to research upstream and ETL
pipeline issues * We are building vast systems, sometimes with hundreds
of thousands of tasks being defined * We often have democratized access
to our clusters - with dozens of different people adding data.Additionally, in these large clusters most teams struggle to comply with
policies and other requirements, whether regulatory, corporate or
defined by their own teams. These might define general data retention
requirements, or specific requirements for individual tables. They might
define table naming conventions, security requirements, or stats aging &
collection requirements.ObjectiveHadoop-Inspector was built to address the needs to manage data quality
within large, complex, and constantly loaded clusters that were
unfulfilled by simple QA testing during development. It offers a
solution more like an automobile assembly line: continuous quality
control (QC) that can account for changes to upstream systems,
accidental changes to production, data migration errors, and ETL/Ingest
defects.Current StatusThe software consists primarily of three parts:hadoopinspector-runner.py - a test-runner that writes results to a
SQLite database and can produce a report of test results. This is the
primary and most updated component at this time.hapinsp_httpserver.py - serves the UI.hadoopinspector-demogen.py - which can generate 50,000+ check results
against a hypothetical user hadoop environment. This is used to
exercise the UI.More info is on thewikiInstallationpip install hadoopinspectorrequires python 2.7LicensingThis source code is protected by the BSD license. See the file “LICENSE”
in the source code root directory for the full language or refer to it
here:http://opensource.org/licenses/BSD-3-ClauseCopyright 2015, 2016
Will Farmer and Ken Farmer0.1.6 - fix setup.py reference to github account0.1.5 - improve data start & stop timestampsmake these reserved variablesinclude them within basic runner reporting0.1.4 - remove inst & db from registry json filesadd minor fixes being used in prodadd –ssl option to runneradd –version option to runnerheavy refactoring & housekeeping0.1.3 - add loggingimprove registry json validation & user error reportingfix test teardowns leaving behind some filesfix tox errorsfix misc minor defects0.1.2 - fix check display issues0.1.1 - remov runtests - unnecessary test bundle for pytests0.1.0 - update changelog & _version to reflect version.0.0.3 - refactor server to run on python2.7 - upgrade runner to run
setup checks to support incremental checks0.0.2 - heavy refactoring of runner, added a lot of testing0.0.1 - initial release - demo generator - simple reporting