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| 1 | +# Running a basic R script in SQL Server big data cluster |
| 2 | + |
| 3 | +### Contents |
| 4 | + |
| 5 | +[About this sample](#about-this-sample)<br/> |
| 6 | +[Before you begin](#before-you-begin)<br/> |
| 7 | +[Run this sample](#run-this-sample)<br/> |
| 8 | +[Sample details](#sample-details)<br/> |
| 9 | +[Related links](#related-links)<br/> |
| 10 | + |
| 11 | +<a name=about-this-sample></a> |
| 12 | + |
| 13 | +## About this sample |
| 14 | + |
| 15 | +This is a sample [R](https://www.r-project.org/) app, which takes two whole numbers as input and returns the sum of squares (a^2 + b^2). The code for this sample is in [sum_of_squares.R](sum_of_squares.R) The inputs and outputs are shown below. |
| 16 | + |
| 17 | +### Inputs |
| 18 | +|Parameter|Description| |
| 19 | +|-|-| |
| 20 | +|`a`|The first whole number| |
| 21 | +|`b`|The second whole number| |
| 22 | + |
| 23 | +### Outputs |
| 24 | +|Parameter|Description| |
| 25 | +|-|-| |
| 26 | +|`result`|The result of calculating a^2 + b^2| |
| 27 | + |
| 28 | + |
| 29 | +<a name=before-you-begin></a> |
| 30 | + |
| 31 | +## Before you begin |
| 32 | + |
| 33 | +To run this sample, you need the following prerequisites. |
| 34 | + |
| 35 | +**Software prerequisites:** |
| 36 | + |
| 37 | +1. SQL Server big data cluster CTP 2.3 or later. |
| 38 | +2. `mssqlctl`. Refer to [installing mssqlctl](https://docs.microsoft.com/en-us/sql/big-data-cluster/deploy-install-mssqlctl?view=sqlallproducts-allversions) document on setting up the `mssqlctl` and connecting to a SQL Server 2019 big data cluster. |
| 39 | + |
| 40 | +<a name=run-this-sample></a> |
| 41 | + |
| 42 | +## Run this sample |
| 43 | + |
| 44 | +1. Clone or download this sample on your computer. |
| 45 | +2. Log in to the SQL Server big data cluster using the command below using the IP address of the `endpoint-service-proxy` in your cluster. If you are not familiar with `mssqltctl` you can refer to the [documentation](https://docs.microsoft.com/en-us/sql/big-data-cluster/big-data-cluster-create-apps?view=sqlallproducts-allversions) and then return to this sample. |
| 46 | + |
| 47 | + ```bash |
| 48 | + mssqlctl login -e https://<ip-address-of-endpoint-service-proxy>:30777 -u <user-name> -p <password> |
| 49 | + ``` |
| 50 | +3. Deploy the application by running the following command, specifying the folder where your `spec.yaml` and `sum_of_squares.R` files are located: |
| 51 | + ```bash |
| 52 | + mssqlctl app create --spec ./sumofsq |
| 53 | + ``` |
| 54 | +4. Check the deployment by running the following command: |
| 55 | + ```bash |
| 56 | + mssqlctl app list -n sum-of-sq -v [version] |
| 57 | + ``` |
| 58 | + Once the app is listed as `Ready` you can continue to the next step. |
| 59 | +5. Test the app by running the following command: |
| 60 | + ```bash |
| 61 | + mssqlctl app run -n sum-of-sq -v [version] --input a=42,b=3435 |
| 62 | + ``` |
| 63 | + You should get output like the example below. The answer to your question are returned as `result`. |
| 64 | + ```json |
| 65 | + { |
| 66 | + "changedFiles": [], |
| 67 | + "consoleOutput": "", |
| 68 | + "errorMessage": "", |
| 69 | + "outputFiles": {}, |
| 70 | + "outputParameters": { |
| 71 | + "result": 11800989.0 |
| 72 | + }, |
| 73 | + "success": true |
| 74 | + } |
| 75 | + ``` |
| 76 | +6. You can clean up the sample by running the following commands: |
| 77 | + ```bash |
| 78 | + # delete app |
| 79 | + mssqlctl app delete --name sum-of-sq --version [version] |
| 80 | + ``` |
| 81 | + |
| 82 | +<a name=sample-details></a> |
| 83 | + |
| 84 | +## Sample details |
| 85 | + |
| 86 | +Please refer to [sum_of_squares.R](sum_of_squares.R) for the code for this sample. |
| 87 | + |
| 88 | +### Spec file |
| 89 | +Here is the spec file for this application. As you can see the sample uses the `R` runtime and calls the `sofsq` method in the `sum_of_squares.R` file, accepting two integer inputs named `a` and `b` and returning an integer output named `result`. |
| 90 | + |
| 91 | +```yaml |
| 92 | +name: sum-of-sq |
| 93 | +version: v1 |
| 94 | +runtime: R |
| 95 | +src: ./sum_of_squares.R |
| 96 | +entrypoint: sofsq |
| 97 | +replicas: 1 |
| 98 | +poolsize: 1 |
| 99 | +inputs: |
| 100 | + a: integer |
| 101 | + b: integer |
| 102 | +output: |
| 103 | + result: integer |
| 104 | +``` |
| 105 | + |
| 106 | +<a name=related-links></a> |
| 107 | + |
| 108 | +## Related Links |
| 109 | +For more information, see these articles: |
| 110 | + |
| 111 | +[How to deploy and app on SQL Server 2019 big data cluster (preview)](https://docs.microsoft.com/en-us/sql/big-data-cluster/big-data-cluster-create-apps?view=sqlallproducts-allversions) |
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