This method is tested in the Spark 1.5 unit tests, so I'd guess it's a problem with the Parquet dependency. What version of Parquet are you building Spark 1.5 off of? (I'm not that familiar with Parquet issues myself, but hopefully a SQL person can chime in.)
On Tue, Dec 15, 2015 at 3:23 PM, Rachana Srivastava < rachana.srivast...@markmonitor.com> wrote: > I have recently upgraded spark version but when I try to run save a random > forest model using model save command I am getting nosuchmethoderror. My > code works fine with 1.3x version. > > > > model.save(sc.sc(), "modelsavedir"); > > > > > > ERROR: > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation - > Aborting job. > > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 > in stage 22.0 failed 1 times, most recent failure: Lost task 0.0 in stage > 22.0 (TID 230, localhost): java.lang.NoSuchMethodError: > parquet.schema.Types$GroupBuilder.addField(Lparquet/schema/Type;)Lparquet/schema/Types$BaseGroupBuilder; > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter$$anonfun$convertField$1.apply(CatalystSchemaConverter.scala:517) > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter$$anonfun$convertField$1.apply(CatalystSchemaConverter.scala:516) > > at > scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:51) > > at > scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:60) > > at > scala.collection.mutable.ArrayOps$ofRef.foldLeft(ArrayOps.scala:108) > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter.convertField(CatalystSchemaConverter.scala:516) > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter.convertField(CatalystSchemaConverter.scala:312) > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter$$anonfun$convert$1.apply(CatalystSchemaConverter.scala:305) > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter$$anonfun$convert$1.apply(CatalystSchemaConverter.scala:305) > > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > > at > scala.collection.Iterator$class.foreach(Iterator.scala:727) > > at > scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > > at > scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > > at > org.apache.spark.sql.types.StructType.foreach(StructType.scala:92) > > at > scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > > at > org.apache.spark.sql.types.StructType.map(StructType.scala:92) > > at > org.apache.spark.sql.execution.datasources.parquet.CatalystSchemaConverter.convert(CatalystSchemaConverter.scala:305) > > at > org.apache.spark.sql.execution.datasources.parquet.ParquetTypesConverter$.convertFromAttributes(ParquetTypesConverter.scala:58) > > at > org.apache.spark.sql.execution.datasources.parquet.RowWriteSupport.init(ParquetTableSupport.scala:55) > > at > parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:287) > > at > parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:261) > > at > org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetRelation.scala:94) > > at > org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anon$3.newInstance(ParquetRelation.scala:272) > > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:233) > > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150) > > at > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > > at org.apache.spark.scheduler.Task.run(Task.scala:88) > > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > > at java.lang.Thread.run(Thread.java:745) > > >
