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1.1 KiB
description |
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This guide will help you to ingest sample data |
Ingest Sample Data
Sample Data
{% hint style="info" %} Prerequisites
OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
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Python 3.7 or above
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Create and activate python env
python3 -m venv env source env/bin/activate
{% endhint %}
Build from source or PyPI
{% tabs %} {% tab title="Build from source " %}
# checkout OpenMetadata
git clone https://github.com/StreamlineData/catalog
cd catalog/ingestion
{% endtab %}
{% tab title="Install Using PyPI" %}
{% endtab %} {% endtabs %}
Ingest sample tables and users
pip install '.[sample-tables]'
metadata ingest -c ./pipelines/sample_tables.json
metadata ingest -c ./pipelines/sample_users.json
Index Sample Data into ElasticSearch
Start Elastic Search Docker:
docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.10.2
Index sample data in ElasticSearch:
pip install '.[elasticsearch]'
metadata ingest -c ./pipelines/metadata_to_es.json