Integration with UniVerse database

Hi Jaganath,

Here is some code about jdbc driver in notebook that modify from sample of other datasource, you can take a look on it if helps: (notice: you need to upload the driver file to the environment before use these)

from pyspark.sql import SparkSession

#Initialization SparkSession
spark = SparkSession.builder \
    .appName("UniVerseConnection") \
    .config("spark.driver.extraClassPath", "/path/to/your/uploaded/UniVerse") \
    .getOrCreate()

#Use a JDBC connector to connect to the UniVerse database
jdbc_url = "jdbc:universe://hostname:port/database"

#Configure the connection string with credentials and database details
connection_properties = {
    "user": "your_username",
    "password": "your_password",
    "driver": "com.universe.jdbc.Driver"
}

#Use the Spark DataFrame to read data
df = spark.read.jdbc(url=jdbc_url, table="your_table_name", properties=connection_properties)
df.show()

Regards,

Xiaoxin Sheng