Forum Discussion
Integration with UniVerse database
- Anonymous1 year ago
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
integration with UniVerse database and Microsoft Fabric is possible. You can use SQL Server Management Studio or Azure Data Explorer to connect and extract data seamlessly Databases in Fabric - 7 Quickstart tips - Microsoft Fabric Community
Hi Andaman ,
Thank you for following up on this. It is great to know this is possible! However, I would like to clarify a few points:
Are you suggesting that SSMS or ADE can directly connect to the UniVerse database to extract data? My understanding is that UniVerse is an MVDBMS, so I am curious about how this integration works.
Is there a way to bypass SSMS or ADE and directly push the data into Fabric?
I appreciate your insights on this.
Thanks,
Jaganath