Getting error in spark when using JDBC driver to read

[mithunrajarackal]

Tried to read a table from DataWorld to a dataframe in Spark and then tried printSchema on the dataframe resulted in the following error:

ERROR 2019-08-20T07:14:15.083 Exception in task 0.0 in stage 0.0 (TID 0)
java.sql.SQLException: Unable to marshal xsd:string to java.math.BigDecimal
at world.data.jdbc.internal.types.NodeValues.parseLiteral(NodeValues.java:488)
at world.data.jdbc.internal.types.NodeValues.parseNumber(NodeValues.java:208)
at world.data.jdbc.internal.types.NodeValues.parseBigDecimal(NodeValues.java:163)
at world.data.jdbc.internal.results.ResultSetImpl.getBigDecimal(ResultSetImpl.java:246)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetter$3.apply(JdbcUtils.scala:407)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetter$3.apply(JdbcUtils.scala:405)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:356)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:338)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$class.foreach(Iterator.scala:891)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$27.apply(RDD.scala:927)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$27.apply(RDD.scala:927)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NumberFormatException
at java.math.BigDecimal.<init>(BigDecimal.java:497)
at java.math.BigDecimal.<init>(BigDecimal.java:383)
at java.math.BigDecimal.<init>(BigDecimal.java:809)
at world.data.jdbc.internal.types.NodeValues.lambda$parseNumber$4(NodeValues.java:219)
at world.data.jdbc.internal.types.NodeValues.parseLiteral(NodeValues.java:484)
... 29 more
WARN 2019-08-20T07:14:15.19 Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.sql.SQLException: Unable to marshal xsd:string to java.math.BigDecimal
at world.data.jdbc.internal.types.NodeValues.parseLiteral(NodeValues.java:488)
at world.data.jdbc.internal.types.NodeValues.parseNumber(NodeValues.java:208)
at world.data.jdbc.internal.types.NodeValues.parseBigDecimal(NodeValues.java:163)
at world.data.jdbc.internal.results.ResultSetImpl.getBigDecimal(ResultSetImpl.java:246)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetter$3.apply(JdbcUtils.scala:407)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$makeGetter$3.apply(JdbcUtils.scala:405)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:356)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anon$1.getNext(JdbcUtils.scala:338)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$class.foreach(Iterator.scala:891)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$27.apply(RDD.scala:927)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$27.apply(RDD.scala:927)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NumberFormatException
at java.math.BigDecimal.<init>(BigDecimal.java:497)
at java.math.BigDecimal.<init>(BigDecimal.java:383)
at java.math.BigDecimal.<init>(BigDecimal.java:809)
at world.data.jdbc.internal.types.NodeValues.lambda$parseNumber$4(NodeValues.java:219)
at world.data.jdbc.internal.types.NodeValues.parseLiteral(NodeValues.java:484)
... 29 more
ERROR 2019-08-20T07:14:15.193 Task 0 in stage 0.0 failed 1 times; aborting job

Any operation on the dataframe led to this error.
Code to read table from DataWorld is given below:

spark.read
      .format("jdbc")
      .option("driver", "world.data.jdbc.Driver")
      .option("url", params.url)
      .option("dbtable", params.dbTable)
      .option("user", params.user)
      .option("password", params.password)
      .load

DataWorld JDBC driver version is 0.4.4
Spark version is 2.4.0
Scala version is 2.11

[tcz001]

same issue when reading from spark