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* GitBook: [#177] Documentation Update - Airflow * GitBook: [#195] Removing Cron from databaseServices * GitBook: [#196] Added trino * GitBook: [#197] removed cron from config * GitBook: [#198] Added Redash Documentation * GitBook: [#199] Added Bigquery Usage Documentation * GitBook: [#200] Added page link for presto * GitBook: [#201] Added Local Docker documentation * GitBook: [#202] Added Documentation for Local Docker Setup * GitBook: [#203] Added Git Command to clone Openmetadata in docs * GitBook: [#207] links update * GitBook: [#208] Updating Airflow Documentation * GitBook: [#210] Adding Python installation package under Airflow Lineage config * GitBook: [#211] Change the links to 0.5..0 * GitBook: [#213] Move buried connectors page up * GitBook: [#214] Update to connectors page * GitBook: [#215] Removed sub-categories * GitBook: [#212] Adding Discovery tutorial * GitBook: [#220] Updated steps to H2s. * GitBook: [#230] Complex queries * GitBook: [#231] Add lineage to feature overview * GitBook: [#232] Make feature overview headers verbs instead of nouns * GitBook: [#233] Add data reliability to features overview * GitBook: [#234] Add complex data types to feature overview * GitBook: [#235] Simplify and further distinguish discovery feature headers * GitBook: [#236] Add data importance to feature overview * GitBook: [#237] Break Connectors into its own section * GitBook: [#238] Reorganize first section of docs. * GitBook: [#239] Add connectors to feature overview * GitBook: [#240] Organize layout of feature overview into feature categories as agreed with Harsha. * GitBook: [#242] Make overview paragraph more descriptive. * GitBook: [#243] Create a link to Connectors section from feature overview. * GitBook: [#244] Add "discover data through association" to feature overview. * GitBook: [#245] Update importance and owners gifs * GitBook: [#246] Include a little more descriptive documentation for key features. * GitBook: [#248] Small tweaks to intro paragraph. * GitBook: [#249] Clean up data profiler paragraph. * GitBook: [#250] Promote Complex Data Types to its own feature. * GitBook: [#251] Update to advanced search * GitBook: [#252] Update Roadmap * GitBook: [#254] Remove old features page (text and screenshot based). * GitBook: [#255] Remove references to removed page. * GitBook: [#256] Add Descriptions and Tags section to feature overview. * GitBook: [#257] Update title for "Know Your Data" Co-authored-by: Ayush Shah <ayush.shah@deuexsolutions.com> Co-authored-by: Suresh Srinivas <suresh@getcollate.io> Co-authored-by: Shannon Bradshaw <shannon.bradshaw@arrikto.com> Co-authored-by: OpenMetadata <github@harsha.io>
64 lines
1.8 KiB
Markdown
64 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-0.5.0/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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metadata ingest -c ./pipelines/sample_users.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-0.5.0/ingestion
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metadata ingest -c ./pipelines/metadata_to_es.json
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```
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