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63 lines
1.8 KiB
Markdown
63 lines
1.8 KiB
Markdown
---
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description: This guide will help you to ingest sample data
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---
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# Ingest Sample Data
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## Sample Data
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We have created some sample data to take OpenMetadata for a spin without integrating with real data sources. The goal of sample data is to give a taste of what OpenMetadata can do with your real data.
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{% hint style="info" %}
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**Prerequisites**
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OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
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1. Python 3.7 or above
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{% endhint %}
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### Run OpenMetadata Server
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Please refer to the [Run OpenMetadata ](../run-openmetadata.md#install-on-your-local-machine)section to run the server manually or using [Docker](../run-openmetadata.md#run-docker).
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### Install from PyPI
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{% tabs %}
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{% tab title="Install Using PyPI" %}
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```bash
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python3 -m pip install 'openmetadata-ingestion[sample-data, elasticsearch]'
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```
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{% endtab %}
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{% endtabs %}
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### Ingest using Sample Pipelines consisting of
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Sample Data, Tables, Usage, Users, Topics, and Dashboards.
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```bash
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#Make sure the OpenMetadata Server is up and running
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cd openmetadata-0.6.0/ingestion
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metadata ingest -c ./pipelines/sample_data.json
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metadata ingest -c ./pipelines/sample_usage.json
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```
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### Index Sample Data into ElasticSearch
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Start Elastic Search Docker:
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{% hint style="warning" %}
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The below command starts Elasticsearch docker that stores the indexed data in memory. If you stop the container it will lose any data on restart. Please re-run the metadata\_to\_es workflow again to index the data upon starting the container.
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{% endhint %}
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```bash
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docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.10.2
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```
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Index sample data in ElasticSearch:
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```bash
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#Make sure the OpenMetadata Server is up and running
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cd openmetadata-0.6.0/ingestion
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metadata ingest -c ./pipelines/metadata_to_es.json
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```
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