Spark conversion error on the executor JDBC SQLSERVER partition option

Question

I'm first reading lower bound and upper bound using a:

select max(timestamp) ,min(timestamp) from table name

extracting Row row=query.collectasList().get(0).getString(0) as lowerbound and upperbound respectively then passing lowerbound and upper bound

spark.read("jdbc")
  .option("url", url)
  .option("dbtable", "sample")
  .option("user", user)
  .option("driver","com.sqlserver")
  .option("password", password)
  .option("numPartitions", 100)
  .option("partitionColumn", "timestamp")
  .option("lowerBound", lowerbound)
  .option("upperBound", upperbound )
lowerbound and upperbound format "2022-02-09 17:13:22.353"

I understand lowerbound and upper bound has to be string but when passed I'm facing the below issue can you please help? Facing this issue Lost task 6.0 in stage 1.0 (TID 7, , executor 1):

com.microsoft.sqlserver.jdbc.SQLServerException: Conversion failed when converting date and/or time from character string. at com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDatabaseError(SQLServerException.java