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36 lines
1.9 KiB
Markdown
36 lines
1.9 KiB
Markdown
# Samples on how to deploy applications to SQL Server big data cluster
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## Pre-requisites
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* SQL Server big data cluster CTP 2.3 or later
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* `mssqlctl` CLI familiarity
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If you are unfamiliar with `mssqlctl` please refer to - [App Deployment in SQL Server big data cluster](https://docs.microsoft.com/en-us/sql/big-data-cluster/big-data-cluster-create-apps?view=sqlallproducts-allversions) for more information.
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* Tip
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**mssqlctl app -h** will display the various commands to manage the app
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## Available samples
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### Python
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These samples demonstrates how you can deploy a simple Python app into SQL Server big data cluster as container app as web service that is swagger compliant for building your application.
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__[addpy](addpy/)__
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__[magic8ball](magic8ball/)__
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### R
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These samples demonstrates how you can deploy a simple R app into SQL Server big data cluster as container app as web service that is swagger compliant for building your application.
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__[RollDice](RollDice/)__
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This sample demonstrates the use of data frames
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### MLeap
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__[mleap](mleap/)__
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This sample demonstrates how you use a MLeap bundle (a Spark model serialized in this format) and run it outside of Spark. The sample is based on the MLeap sample available here http://mleap-docs.combust.ml/mleap-serving/. We are using the MLeap Serving container that is published in Docker Hub. The MLeap Serving is deployed as container in SQL Server big data cluster as a container app with a web service that takes the Leap Frame as the input.
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### Sql Server Integration Services
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__[SSIS](SSIS/)__
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This sample demonstrates how you can run SSIS applications as a containerized application leveraging the cron capability in Kubernetes. This example uses a Data Transformation Services Package File Format (DTSX) file developed using Visual Studio that, when executed, takes a database backup. This will run as a cron job which creates the backups every minute. Please follow the `README.md` for detailed instructions. |