Connecting SQLserver jdbc driver to Dataproc cluster - pyspark

Question

I am working on PySpark application on analyzing Aviation Data. The Database is a MS SQLServer DB. While connecting to the database on the server. I get an error of "No suitable driver". However when I run on local machine with CLI and add JDBC driver jar file to driver-class-path, it runs and connects with DB. But when I try to run on Dataproc cluster, it throws an error of "No suitable driver".
The code snippet is as follows:
from pyspark import SparkContext
from pyspark.sql import SparkSession
from pyspark.sql.dataframe import DataFrame
from pyspark.sql.functions import *
spark = SparkSession.builder
.appName('Test')
.getOrCreate()
df = spark.read.format("jdbc").options(
url="jdbc:sqlserver:XYXYXY",
database="data1",
user="YYYY", password="XXXX",
dbtable="db")
.load()
The Error was:
Py4JJavaError: An error occurred while calling o209.load.
: java.sql.SQLException: No suitable driver
at java.sql.DriverManager.getDriver(DriverManager.java:315)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$7.apply(JDBCOptions.scala:84)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$7.apply(JDBCOptions.scala:84)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:83)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:34)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:34)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:307)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:146)
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:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
Is there other way to add JDBC jar files to the Dataproc cluster?

Answer 1

Here is a very similar question and answer to it that shows how to add JDBC driver to Spark Driver classpath using gcloud command:
$ gcloud dataproc jobs submit spark ... \
--jars=gs://<BUCKET>/<DIRECTORIES>/<JAR_NAME> \
--properties=spark.driver.extraClassPath=<JAR_NAME>