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updating readmes for app-deploy

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Jeroen ter Heerdt
2019-02-27 17:27:00 -08:00
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samples/features/sql-big-data-cluster/app-deploy/README.md
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# Samples on how to deploy SQL Sever Big Data Cluster
# Samples on how to deploy applications to SQL Server big data cluster
## Pre-requisites
* CTP 2.3 or later
* mssqlctl CLI familiarity
* SQL Server big data cluster CTP 2.3 or later
* `mssqlctl` CLI familiarity
If you are unfamiilar 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).
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.
* Tip
**mssqlctl app -h** will display the various commands to manage the app
## Python
## Available samples
### Python
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.
__[addpy](addpy/)__
__[magic8ball](magic8ball/)__
## R
### R
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.
__[RollDice](RollDice/)__
This sample demonstrates the use of data frames
## MLeap
### MLeap
__[mleap](mleap/)__
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.
## Sql Server Integration Services
### Sql Server Integration Services
__[SSIS](SSIS/)__
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.
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.
samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md
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**Software prerequisites:**
1.SQL Server big data cluster - CTP 2.3 or later.
1.SQL Server big data cluster CTP 2.3 or later.
2. Optional: to see the SSIS package itself, install Visual Studio 2017 if you don't have it already. After that download and install [SSDT](https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-2017#ssdt-for-vs-2017-standalone-installer).
3. Optional: install [SSMS](https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-2017) if it is not already installed.