Synapse Notebook - Read Data From Oracle DB

Question

Has anybody read data into a Synapse notebook (Python, pyspark) from an Oracle data source? I've tried getting the correct JDBC driver as a .jar, but adding it as a library does not work. I've also tried going the pyODBC route, but I consistently get login timeouts.

If anybody can point me in the right direction, I would appreciate it.

Answer 1

Hi @NPizzuti ,

Thankyou for using Microsoft Q&A platform and thanks for posting your question.

In order to read data from oracle DB using Pyspark inside synapse notebook, kindly try adding the .jar here (ojdbc8-19.15.0.0.1.jar) to the Synapse workspace packages and then adding that package to the Apache spark pool (to know more about this process kindly check this video) and execute the following code:

host = 'my_host_url'  
port = 1521  
service_name = 'my_service_name'  
  
jdbcUrl = f'jdbc:oracle:thin:@{host}:{port}:{service_name}'  
sql = 'SELECT * FROM my_table'  
user = 'my_username'  
password = 'my_password'  
jdbcDriver = 'oracle.jdbc.driver.OracleDriver'  
  
jdbcDF = spark.read.format('jdbc') \  
    .option('url', jdbcUrl) \  
    .option('query', sql) \  
    .option('user', user) \  
    .option('password', password) \  
    .option('driver', jdbcDriver) \  
    .load()  
display(jdbcDF)  

Hope this will help. Please let us know if any further queries.

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