In the evolving landscape of enterprise data analytics, programmatic access to data platforms has become essential for automation, integration, and custom application development. SAP Vora, an in-memory distributed analytics engine built on Apache Spark, is no exception. To fully leverage SAP Vora’s capabilities, developers and data engineers need robust and flexible ways to interact with the platform programmatically. This is where APIs (Application Programming Interfaces) play a critical role.
This article provides an overview of working with APIs to access SAP Vora programmatically, enabling seamless integration with other systems and unlocking advanced data processing workflows.
SAP Vora extends the analytical capabilities of SAP HANA by enabling interactive queries over large-scale distributed data stored in Hadoop and cloud environments. While users can interact with SAP Vora through SQL interfaces and graphical tools, programmatic access via APIs offers:
SAP Vora exposes several APIs and interfaces for developers to interact with the platform:
The SQL REST API enables clients to submit SQL queries to SAP Vora over HTTP/HTTPS. It supports executing ad-hoc queries, retrieving results in JSON format, and managing query lifecycles.
Use cases:
Since SAP Vora is built on Apache Spark, developers can use Spark’s native APIs in Scala, Java, or Python to interact with Vora datasets programmatically. The Vora Spark API extends Spark SQL with connectors to Vora tables, allowing:
SAP Vora supports OData (Open Data Protocol), allowing RESTful API interactions that adhere to standard protocols used widely in SAP ecosystems. This facilitates integration with SAP Gateway, SAP Fiori apps, and other OData consumers.
The Vora CLI offers scripting capabilities to execute queries, manage metadata, and administer the Vora environment. It can be integrated into DevOps pipelines and scheduled jobs for automation.
Here’s a simplified example of how to submit a SQL query programmatically using the SQL REST API in Python:
import requests
# Vora REST API endpoint
url = "https://vora-server:9443/vora/v1/sql"
# SQL query payload
payload = {
"statement": "SELECT product_id, SUM(quantity) AS total_qty FROM sales GROUP BY product_id"
}
# Authentication credentials
auth = ('username', 'password')
# Send POST request
response = requests.post(url, json=payload, auth=auth, verify=False)
# Check response and print results
if response.status_code == 200:
results = response.json()
print(results)
else:
print(f"Error: {response.status_code} - {response.text}")
This script sends a SQL query to the SAP Vora server and retrieves aggregated sales data grouped by product.
APIs provide the gateway to unlocking the full potential of SAP Vora in modern enterprise data architectures. By enabling programmatic access, SAP Vora supports automation, integration, and customization that drive agility and innovation. Whether through RESTful SQL APIs, Spark programming, or OData services, mastering these interfaces empowers SAP professionals and developers to build scalable, efficient, and intelligent big data analytics solutions.