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PrettyTable is a simple Python library designed to make it quick and easy to represent tabular data in visually appealing ASCII tables. It was inspired by the ASCII tables used in the PostgreSQL shell psql.

APPLIES TO: Cassandra API

Required Module: PrettyTable. PrettyTable is a Python library for generating simple ASCII tables. We can control many aspects of a table, such as the width of the column padding, the alignment of text, or the table border.
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Prettytable - Installation.wiki - Google Code Archive, The easiest way to install PrettyTable is to use the 'easyinstall' command which is part of Python setuputils. From the command line, you can simply type. Conda install linux-64 v0.7.2; win-32 v0.7.2; noarch v0.7.2; win-64 v0.7.2; osx-64 v0.7.2; To install this package with conda run one.

In this quickstart, you create an Azure Cosmos DB Cassandra API account, and use a Cassandra Python app cloned from GitHub to create a Cassandra database and container. Azure Cosmos DB is a multi-model database service that lets you quickly create and query document, table, key-value, and graph databases with global distribution and horizontal scale capabilities.

Prerequisites

An Azure account with an active subscription. Create one for free. Or try Azure Cosmos DB for free without an Azure subscription.
Python 2.7 or 3.6+.
Git.
Python Driver for Apache Cassandra.

Create a database account

Before you can create a document database, you need to create a Cassandra account with Azure Cosmos DB.

In a new browser window, sign in to the Azure portal.
In the left menu, select Create a resource.
On the New page, select Databases > Azure Cosmos DB.

On the Create Azure Cosmos DB Account page, enter the settings for the new Azure Cosmos DB account.

Setting	Value	Description
Subscription	Your subscription	Select the Azure subscription that you want to use for this Azure Cosmos DB account.
Resource Group	Create new Then enter the same name as Account Name	Select Create new. Then enter a new resource group name for your account. For simplicity, use the same name as your Azure Cosmos account name.
Account Name	Enter a unique name	Enter a unique name to identify your Azure Cosmos DB account. Your account URI will be cassandra.cosmos.azure.com appended to your unique account name. The account name can use only lowercase letters, numbers, and hyphens (-), and must be between 3 and 31 characters long.
API	Cassandra	The API determines the type of account to create. Azure Cosmos DB provides five APIs: Core (SQL) for document databases, Gremlin for graph databases, MongoDB for document databases, Azure Table, and Cassandra. You must create a separate account for each API. Select Cassandra, because in this quickstart you are creating a table that works with the Cassandra API. Learn more about the Cassandra API.
Location	Select the region closest to your users	Select a geographic location to host your Azure Cosmos DB account. Use the location that's closest to your users to give them the fastest access to the data.
Capacity mode	Provisioned throughput or Serverless	Select Provisioned throughput to create an account in provisioned throughput mode. Select Serverless to create an account in serverless mode.

Select Review+Create. You can skip the Networking, Backup, Encryption and Tags section.

The account creation takes a few minutes. Wait for the portal to display the page saying Congratulations! Your Azure Cosmos DB account was created.

Clone the sample application

Now let's clone a Cassandra API app from GitHub, set the connection string, and run it. You see how easy it is to work with data programmatically.

Open a command prompt. Create a new folder named git-samples. Then, close the command prompt.
Open a git terminal window, such as git bash, and use the cd command to change to the new folder to install the sample app.
Run the following command to clone the sample repository. This command creates a copy of the sample app on your computer.

Review the code

This step is optional. If you're interested to learn how the code creates the database resources, you can review the following snippets. The snippets are all taken from the pyquickstart.py file. Otherwise, you can skip ahead to Update your connection string.

The cluster is initialized with contactPoint and port information that is retrieved from the Azure portal. The cluster then connects to the Azure Cosmos DB Cassandra API by using the connect() method. An authorized connection is established by using the username, password, and the default certificate or an explicit certificate if you provide one within the config file.
A new keyspace is created.
A new table is created.
Key/value entities are inserted.
Query to get all key values.
Query to get a key-value.

Update your connection string

Now go back to the Azure portal to get your connection string information and copy it into the app. The connection string enables your app to communicate with your hosted database.

In your Azure Cosmos DB account in the Azure portal, select Connection String.
Use the button on the right side of the screen to copy the top value, the CONTACT POINT.
Open the config.py file.
Paste the CONTACT POINT value from the portal over <FILLME> on line 10.
Line 10 should now look similar to
'contactPoint': 'cosmos-db-quickstarts.cassandra.cosmosdb.azure.com:10350'
Copy the USERNAME value from the portal and paste it over <FILLME> on line 6.
Line 6 should now look similar to
'username': 'cosmos-db-quickstart',
Copy the PASSWORD value from the portal and paste it over <FILLME> on line 8.
Line 8 should now look similar to
'password' = '2Ggkr662ifxz2Mg';`
Save the config.py file.

Use the X509 certificate

Download the Baltimore CyberTrust Root certificate locally from https://cacert.omniroot.com/bc2025.crt. Rename the file using the file extension .cer.
The certificate has serial number 02:00:00:b9 and SHA1 fingerprint d4:de:20:d0:5e:66:fc:53:fe:1a:50:88:2c:78:db:28:52:ca:e4:74.
Open pyquickstart.py and change the pathtocert to point to your new certificate.
Save pyquickstart.py.

Run the Python app

Use the cd command in the git terminal to change into the azure-cosmos-db-cassandra-python-getting-started folder.
Run the following commands to install the required modules:
Run the following command to start your Python application:
Verify the results as expected from the command line.
Press CTRL+C to stop execution of the program and close the console window.
In the Azure portal, open Data Explorer to query, modify, and work with this new data.

Review SLAs in the Azure portal

The Azure portal monitors your Cosmos DB account throughput, storage, availability, latency, and consistency. Charts for metrics associated with an Azure Cosmos DB Service Level Agreement (SLA) show the SLA value compared to actual performance. This suite of metrics makes monitoring your SLAs transparent.

To review metrics and SLAs:

Select Metrics in your Cosmos DB account's navigation menu.
Select a tab such as Latency, and select a timeframe on the right. Compare the Actual

Install Prettytable Python