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Get the Report →Use Dash to Build to Web Apps on HBase Data
Create Python applications that use pandas and Dash to build HBase-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 HBase, the pandas module, and the Dash framework, you can build HBase-connected web applications for HBase data. This article shows how to connect to HBase with the CData Connector and use pandas and Dash to build a simple web app for visualizing HBase data.
With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live HBase data in Python. When you issue complex SQL queries from HBase, the driver pushes supported SQL operations, like filters and aggregations, directly to HBase and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Connecting to HBase Data
Connecting to HBase 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.
Set the Port and Server to connect to Apache HBase.
After installing the CData HBase Connector, follow the procedure below to install the other required modules and start accessing HBase 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 HBase 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.apachehbase as mod import plotly.graph_objs as go
You can now connect with a connection string. Use the connect function for the CData HBase Connector to create a connection for working with HBase data.
cnxn = mod.connect("Server=127.0.0.1;Port=8080;")
Execute SQL to HBase
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 CustomerName, Price FROM Customers WHERE ShipCity = 'New York'", 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-apachehbaseedataplot' 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 HBase data and configure the app layout.
trace = go.Bar(x=df.CustomerName, y=df.Price, name='CustomerName') 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='HBase Customers 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 HBase data.
python apachehbase-dash.py

Free Trial & More Information
Download a free, 30-day trial of the CData Python Connector for HBase to start building Python apps with connectivity to HBase 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.apachehbase as mod import plotly.graph_objs as go cnxn = mod.connect("Server=127.0.0.1;Port=8080;") df = pd.read_sql("SELECT CustomerName, Price FROM Customers WHERE ShipCity = 'New York'", cnxn) app_name = 'dash-apachehbasedataplot' 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.CustomerName, y=df.Price, name='CustomerName') 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='HBase Customers Data', barmode='stack') }) ], className="container") if __name__ == '__main__': app.run_server(debug=True)