Hello Spark community, I’m using Apache spark(version 3.2) to read a CSV file to a dataframe using ReadStream, process the dataframe and write the dataframe to Delta file using WriteStream. I’m getting a failure during the WriteStream process. I’m trying to run the script locally in my windows 11 machine. Below is the stack trace of the error I’m facing. Please let me know if there’s anything that I’m missing.
java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkFieldNames(Lscala/collection/Seq;)V at org.apache.spark.sql.delta.schema.SchemaUtils$.checkFieldNames(SchemaUtils.scala:958) at org.apache.spark.sql.delta.OptimisticTransactionImpl.verifyNewMetadata(OptimisticTransaction.scala:216) at org.apache.spark.sql.delta.OptimisticTransactionImpl.verifyNewMetadata$(OptimisticTransaction.scala:214) at org.apache.spark.sql.delta.OptimisticTransaction.verifyNewMetadata(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.OptimisticTransactionImpl.updateMetadata(OptimisticTransaction.scala:208) at org.apache.spark.sql.delta.OptimisticTransactionImpl.updateMetadata$(OptimisticTransaction.scala:195) at org.apache.spark.sql.delta.OptimisticTransaction.updateMetadata(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata(ImplicitMetadataOperation.scala:101) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata$(ImplicitMetadataOperation.scala:62) at org.apache.spark.sql.delta.sources.DeltaSink.updateMetadata(DeltaSink.scala:37) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata(ImplicitMetadataOperation.scala:59) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata$(ImplicitMetadataOperation.scala:50) at org.apache.spark.sql.delta.sources.DeltaSink.updateMetadata(DeltaSink.scala:37) at org.apache.spark.sql.delta.sources.DeltaSink.$anonfun$addBatch$1(DeltaSink.scala:80) at org.apache.spark.sql.delta.sources.DeltaSink.$anonfun$addBatch$1$adapted(DeltaSink.scala:54) at org.apache.spark.sql.delta.DeltaLog.withNewTransaction(DeltaLog.scala:188) at org.apache.spark.sql.delta.sources.DeltaSink.addBatch(DeltaSink.scala:54) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$17(MicroBatchExecution.scala:600) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:598) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:375) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:373) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:598) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:228) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:375) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:373) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:193) at org.apache.spark.sql.execution.streaming.OneTimeExecutor.execute(TriggerExecutor.scala:39) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:187) at org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$1(StreamExecution.scala:303) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:286) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:209) Exception in thread "stream execution thread for [id = aafe131a-0785-4285-8b5e-7735b30959a7, runId = effac477-1036-498e-961b-41e9b76c68df]" java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkFieldNames(Lscala/collection/Seq;)V at org.apache.spark.sql.delta.schema.SchemaUtils$.checkFieldNames(SchemaUtils.scala:958) at org.apache.spark.sql.delta.OptimisticTransactionImpl.verifyNewMetadata(OptimisticTransaction.scala:216) at org.apache.spark.sql.delta.OptimisticTransactionImpl.verifyNewMetadata$(OptimisticTransaction.scala:214) at org.apache.spark.sql.delta.OptimisticTransaction.verifyNewMetadata(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.OptimisticTransactionImpl.updateMetadata(OptimisticTransaction.scala:208) at org.apache.spark.sql.delta.OptimisticTransactionImpl.updateMetadata$(OptimisticTransaction.scala:195) at org.apache.spark.sql.delta.OptimisticTransaction.updateMetadata(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata(ImplicitMetadataOperation.scala:101) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata$(ImplicitMetadataOperation.scala:62) at org.apache.spark.sql.delta.sources.DeltaSink.updateMetadata(DeltaSink.scala:37) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata(ImplicitMetadataOperation.scala:59) at org.apache.spark.sql.delta.schema.ImplicitMetadataOperation.updateMetadata$(ImplicitMetadataOperation.scala:50) at org.apache.spark.sql.delta.sources.DeltaSink.updateMetadata(DeltaSink.scala:37) at org.apache.spark.sql.delta.sources.DeltaSink.$anonfun$addBatch$1(DeltaSink.scala:80) at org.apache.spark.sql.delta.sources.DeltaSink.$anonfun$addBatch$1$adapted(DeltaSink.scala:54) at org.apache.spark.sql.delta.DeltaLog.withNewTransaction(DeltaLog.scala:188) at org.apache.spark.sql.delta.sources.DeltaSink.addBatch(DeltaSink.scala:54) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$17(MicroBatchExecution.scala:600) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:598) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:375) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:373) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:598) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:228) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:375) at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:373) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69)Traceback (most recent call last): File "C:\Users\agundapaneni\Development\ModernDataEstate\tests\test_mdefbasic.py", line 60, in <module> at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:193) at org.apache.spark.sql.execution.streaming.OneTimeExecutor.execute(TriggerExecutor.scala:39) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:187) at org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$1(StreamExecution.scala:303) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:286) at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:209) obj.test_ingest_incremental_data_batch1() File "C:\Users\agundapaneni\Development\ModernDataEstate\tests\test_mdefbasic.py", line 56, in test_ingest_incremental_data_batch1 mdef.ingest_incremental_data('example', entity, self.schemas['studentattendance'], 'school_year') File "C:\Users\agundapaneni\Development\ModernDataEstate/src\MDEFBasic.py", line 109, in ingest_incremental_data query.awaitTermination() # block until query is terminated, with stop() or with error; A StreamingQueryException will be thrown if an exception occurs. File "C:\Users\agundapaneni\Development\ModernDataEstate\.tox\default\lib\site-packages\pyspark\sql\streaming.py", line 101, in awaitTermination return self._jsq.awaitTermination() File "C:\Users\agundapaneni\Development\ModernDataEstate\.tox\default\lib\site-packages\py4j\java_gateway.py", line 1309, in __call__ return_value = get_return_value( File "C:\Users\agundapaneni\Development\ModernDataEstate\.tox\default\lib\site-packages\pyspark\sql\utils.py", line 117, in deco raise converted from None pyspark.sql.utils.StreamingQueryException: org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkFieldNames(Lscala/collection/Seq;)V === Streaming Query ===