Glue job hudi-init-load-job with script HudiInitLoadNYTaxiData.py fails

Hello. WE have some sort of POC and currently evaluating capability of Glue. As a part of that evaluation I've recently activated the latest version of "AWS Glue Connector for Apache Hudi" which is 0.9.0 . To be precise I speak about the results of implementation of the steps from the [article] (https://aws.amazon.com/blogs/big-data/writing-to-apache-hudi-tables-using-aws-glue-connector/) . We currently don't use AWS Lake Formation. So I've successfully implemented every step except the part related to AWS Lake Formation. Once I got the work of CloudFormation successfully accomplished I kicked off hudi-init-load-job JOB. But a result was somewhat frustrating! The job failed with the following result:

2021-12-24 08:50:56,249 ERROR [main] glue.ProcessLauncher (Logging.scala:logError(70)): Error from Python:Traceback (most recent call last): File "/tmp/HudiInitLoadNYTaxiData.py", line 27, in <module> glueContext.write_dynamic_frame.from_options(frame = DynamicFrame.fromDF(inputDf, glueContext, "inputDf"), connection_type = "marketplace.spark", connection_options = combinedConf) File "/opt/amazon/lib/python3.6/site-packages/awsglue/dynamicframe.py", line 653, in from_options format_options, transformation_ctx) File "/opt/amazon/lib/python3.6/site-packages/awsglue/context.py", line 279, in write_dynamic_frame_from_options format, format_options, transformation_ctx) File "/opt/amazon/lib/python3.6/site-packages/awsglue/context.py", line 302, in write_from_options return sink.write(frame_or_dfc) File "/opt/amazon/lib/python3.6/site-packages/awsglue/data_sink.py", line 35, in write return self.writeFrame(dynamic_frame_or_dfc, info) File "/opt/amazon/lib/python3.6/site-packages/awsglue/data_sink.py", line 31, in writeFrame return DynamicFrame(self._jsink.pyWriteDynamicFrame(dynamic_frame._jdf, callsite(), info), dynamic_frame.glue_ctx, dynamic_frame.name + "_errors") File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in call answer, self.gateway_client, self.target_id, self.name) File "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco return f(*a, **kw) File "/opt/amazon/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value format(target_id, ".", name), value) py4j.protocol.Py4JJavaError: An error occurred while calling o115.pyWriteDynamicFrame. : java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object; at org.apache.hudi.DataSourceOptionsHelper$.$anonfun$allAlternatives$1(DataSourceOptions.scala:749) at org.apache.hudi.DataSourceOptionsHelper$.$anonfun$allAlternatives$1$adapted(DataSourceOptions.scala:749) at scala.collection.immutable.List.foreach(List.scala:392) at org.apache.hudi.DataSourceOptionsHelper$.<init>(DataSourceOptions.scala:749) at org.apache.hudi.DataSourceOptionsHelper$.<clinit>(DataSourceOptions.scala) at org.apache.hudi.HoodieWriterUtils$.parametersWithWriteDefaults(HoodieWriterUtils.scala:80) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:157) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271) at com.amazonaws.services.glue.marketplace.connector.SparkCustomDataSink.writeDynamicFrame(CustomDataSink.scala:43) at com.amazonaws.services.glue.DataSink.pyWriteDynamicFrame(DataSink.scala:65) 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:748)

I'm quite new to the AWS stack so could someone please give me a hand to fix it