Make sure that you're using compatible version of Delta Lake library. For Spark 3.2 it's 1.1.0: https://github.com/delta-io/delta/releases/tag/v1.1.0 For other Spark versions, check this table: https://docs.delta.io/latest/releases.html
On Fri, Dec 17, 2021 at 2:36 PM Stelios Philippou <stevo...@gmail.com> wrote: > Hi Abhinav, > > Using ReadStream or Read will not mind. > > The following error > java.lang.NoSuchMethodError: > org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.checkFieldNames( > > states that you are using different version of Spark at someplace of your > project or you are using an older component > > Please check your Spark Binaries and as well as your pom that you are > indeed using the same versions. > > On Fri, 17 Dec 2021 at 15:11, Abhinav Gundapaneni > <agundapan...@microsoft.com.invalid> wrote: > >> Hello Spark community, >> >> >> >> I’m using Apache spark(version 3.2) to read a CSV file to a dataframe >> using ReadStream, process the dataframe and write the dataframe to Delta >> file using WriteStream. I’m getting a failure during the WriteStream >> process. I’m trying to run the script locally in my windows 11 machine. >> Below is the stack trace of the error I’m facing. Please let me know if >> there’s anything that I’m missing. >> >> >> >> >> >> >> >> >> >> >> >> java.lang.NoSuchMethodError: >> org.apache.spark.sql.execution.datasources.parquet.ParquetSchemaConverter$.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 === >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> > -- With best wishes, Alex Ott http://alexott.net/ Twitter: alexott_en (English), alexott (Russian)