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Katarzyna Kałek c9995eecb6
FIX #18309: fixed task deserialization in Airflow metadata ingestion (#18310) 
* fixed task deserialization in Airflow metadata ingestion

* fixed formatting

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Co-authored-by: Katarzyna Kałek <kkalek@olx.pl>
2024-10-17 14:51:55 -07:00
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examples
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operators
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pipelines
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plugins
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src
FIX #18309: fixed task deserialization in Airflow metadata ingestion (#18310)
2024-10-17 14:51:55 -07:00
tests
GEN-1166 - Improve Ingestion Workflow Error Summary (#18280)
2024-10-16 18:15:50 +02:00
__init__.py
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Dockerfile
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Dockerfile.ci
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ingestion_dependency.sh
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LICENSE
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Makefile
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pyproject.toml
GEN-970: Refactor redshift system metrics to support freshness test (#17981)
2024-10-10 08:32:07 +02:00
README.md
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setup.py
MINOR: fix(looker): exclude version
2024-10-11 18:47:43 +00:00
sonar-project.properties
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README.md

This guide will help you setup the Ingestion framework and connectors
This guide will help you setup the Ingestion framework and connectors

Python version 3.8+

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 >= 3.8.x

Docs

Please refer to the documentation here https://docs.open-metadata.org/connectors

TopologyRunner

All the Ingestion Workflows run through the TopologyRunner.

The flow is depicted in the images below.

TopologyRunner Standard Flow

image

TopologyRunner Multithread Flow

image