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* updated metadata to work with the impala query engine. Uses the describe function to grab column names, data types, and comments. * added the ordinalPosition data point into the Column constructor. * renamed variable to better describe its usage. * updated profile errors. Hive connections now comment columns by default. * removed print statements * Cleaned up code by pulling check into its own function * Updated median function to return null when it is being used for first and third quartiles. * removed print statements and ran make py_format * updated to fix some pylint errors. imported Dialects to remove string compare to "impala" engine * moved huge comment into function docstring. This comment shows us the sql to get quartiles in Impala
This guide will help you setup the Ingestion framework and connectors
OpenMetadata Ingestion is a simple framework to build connectors and ingest metadata of various systems through OpenMetadata APIs. It could be used in an orchestration framework(e.g. Apache Airflow) to ingest metadata. Prerequisites
- Python >= 3.7.x
Docs
Please refer to the documentation here https://docs.open-metadata.org/connectors
