I am new to pyspark and trying to connect to mssql server database. Here are the details:
This gets printed when I run the script I have.

('Processing table:', u'POL_ACTION_AMEND')
('Table schema:', u'dbo')
('Source_database:', u'PRD01_IPS')
('SQL Query:', '(SELECT TOP 100 * FROM PRD01_IPS.dbo.POL_EVENT_HISTORY)')
('jdbc_uri:', 'jdbc:jtds:sqlserver://REPLCLPRD01REPL/PRD01_IPS')

But spark.read.format() is throwing an error when trying to load the data from the table.

# Read data for a table 
    data_df = spark.read.format("jdbc").option("url",source_jdbc_uri).option("user",source_jdbc_user).option("password",source_jdbc_pass) 
            .option("driver", source_jdbc_driver) 
            .option("dbtable", select_statement_sql_server.format(source_database=source_database, schema=schema, table_name='POL_EVENT_HISTORY')) 
            .load()
        
    data.show()

The error I am getting is:

('SQL Query:', '(SELECT TOP 100 * FROM PRD01_IPS.dbo.POL_EVENT_HISTORY)')
Traceback (most recent call last):
  File "/pkg/lxd0bigd/Talend_To_Pyspark/PSTAR_IPS/200job_IPS.py", line 136, in <module>
    .option("dbtable", select_statement_sql_server.format(source_database=source_database, schema=schema, table_name='POL_EVENT_HISTORY')) 
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 172, in load
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o236.load.
: java.lang.NullPointerException
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:71)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation$.getSchema(JDBCRelation.scala:211)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:35)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:332)
    at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:243)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:231)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:187)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:750)

I have a shell script to run the script which has spark-submit command.

spark-submit --master yarn --deploy-mode client --driver-class-path ${DRIVER_AND_JAR_FILE_PATH} --jars ${DRIVER_AND_JAR_FILE_PATH},${JAR_FILE_XML} --conf "spark.dynamicAllocation.enabled=true" --conf "spark.yarn.dist.files=/etc/hive/conf.cloudera.hive/hive-site.xml" ${ROOT_DIR}/200job_IPS.py --hdfspath ${XML_FILE_HDFS} >> ${LOGFILE_DIR}/200job_log.txt 2>&1 

sh /pkg/lxd0bigd/Talend_To_Pyspark/PSTAR_IPS/Ingestion_PSTAR.sh dev /pkg/lxd0bigd/Talend_To_Pyspark/spark-jobs/lib/mssql-jdbc-6.2.1.jre7.jar

The DRIVER_AND_JAR_FILE_PATH is what I am not sure about. I have 3 jar files and I am not sure which to be used. I tried all 3, and the same issue exists.

mssql-jdbc-6.2.1.jre7.jar, sqljdbc41.jar, jtds-1.3.1-patch.jar

Any suggestions and solutions will be greatly helpful.

Thank you.