Use Dash to Build to Web Apps on SAP HANA XS Advanced Data

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SAP HANA XS Advanced Python Connector

Python Connector Libraries for SAP HANA XS Advanced Data Connectivity. Integrate SAP HANA XS Advanced with popular Python tools like Pandas, SQLAlchemy, Dash & petl.



The CData Python Connector for SAP HANA XS Advanced enables you to create Python applications that use pandas and Dash to build SAP HANA XS Advanced-connected web apps.

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for SAP HANA XS Advanced, the pandas module, and the Dash framework, you can build SAP HANA XS Advanced-connected web applications for SAP HANA XS Advanced data. This article shows how to connect to SAP HANA XS Advanced with the CData Connector and use pandas and Dash to build a simple web app for visualizing SAP HANA XS Advanced data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live SAP HANA XS Advanced data in Python. When you issue complex SQL queries from SAP HANA XS Advanced, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP HANA XS Advanced and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to SAP HANA XS Advanced Data

Connecting to SAP HANA XS Advanced data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

SAP HANA XSA uses the OAuth authentication standard. Before connecting, it is necessary to establish an SAP HANA XSA OData Service. See the OAuth section in the Help documentation for a guide.

After installing the CData SAP HANA XS Advanced Connector, follow the procedure below to install the other required modules and start accessing SAP HANA XS Advanced through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install pandas
pip install dash
pip install dash-daq

Visualize SAP HANA XS Advanced Data in Python

Once the required modules and frameworks are installed, we are ready to build our web app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.saphanaxsa as mod
import plotly.graph_objs as go

You can now connect with a connection string. Use the connect function for the CData SAP HANA XS Advanced Connector to create a connection for working with SAP HANA XS Advanced data.

cnxn = mod.connect("OAuthClientID=my-ouath-client-id;OAuthClientSecret=my-oauth-client-secret;URL=https://hxehost:51027/euro.xsodata;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")

Execute SQL to SAP HANA XS Advanced

Use the read_sql function from pandas to execute any SQL statement and store the result set in a DataFrame.

df = pd.read_sql("SELECT ,  FROM  WHERE  = ''", cnxn)

Configure the Web App

With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.

app_name = 'dash-saphanaxsaedataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'

Configure the Layout

The next step is to create a bar graph based on our SAP HANA XS Advanced data and configure the app layout.

trace = go.Bar(x=df., y=df., name='')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='SAP HANA XS Advanced  Data', barmode='stack')
		})
], className="container")

Set the App to Run

With the connection, app, and layout configured, we are ready to run the app. The last lines of Python code follow.

if __name__ == '__main__':
    app.run_server(debug=True)

Now, use Python to run the web app and a browser to view the SAP HANA XS Advanced data.

python saphanaxsa-dash.py

Free Trial & More Information

Download a free, 30-day trial of the SAP HANA XS Advanced Python Connector to start building Python apps with connectivity to SAP HANA XS Advanced data. Reach out to our Support Team if you have any questions.



Full Source Code

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.saphanaxsa as mod
import plotly.graph_objs as go

cnxn = mod.connect("OAuthClientID=my-ouath-client-id;OAuthClientSecret=my-oauth-client-secret;URL=https://hxehost:51027/euro.xsodata;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

df = pd.read_sql("SELECT ,  FROM  WHERE  = ''", cnxn)
app_name = 'dash-saphanaxsadataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'
trace = go.Bar(x=df., y=df., name='')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='SAP HANA XS Advanced  Data', barmode='stack')
		})
], className="container")

if __name__ == '__main__':
    app.run_server(debug=True)