Hi Dinesh,
Thanks for reporting. This is kinda weird and I can't reproduce this.
Were doing the experiments using a clean compiled Spark master branch?
And I don't think you have to use parquet-mr 1.8.1 to read Parquet files
generated using parquet-mr 1.8.1 unless you are using something not
implemented in 1.7.
Cheng
On 9/6/16 12:34 AM, Dinesh Narayanan wrote:
Hello,
I have some parquet files generated with 1.8.1 through an MR job that
i need to consume. I see that master is built with parquet 1.8.1 but i
get this error(with master branch)
java.lang.NoSuchMethodError:
org.apache.parquet.schema.Types$MessageTypeBuilder.addFields([Lorg/apache/parquet/schema/Type;)Lorg/apache/parquet/schema/Types$GroupBuilder;
at
org.apache.spark.sql.execution.datasources.parquet.ParquetReadSupport$.clipParquetSchema(ParquetReadSupport.scala:114)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetReadSupport.init(ParquetReadSupport.scala:67)
at
org.apache.spark.sql.execution.datasources.parquet.SpecificParquetRecordReaderBase.initialize(SpecificParquetRecordReaderBase.java:136)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:109)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReader$1.apply(ParquetFileFormat.scala:360)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReader$1.apply(ParquetFileFormat.scala:339)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:116)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:85)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Do you think i am missing something here or is this is a potential
bug? Any workarounds to use parquet files with version PARQUET_2_0
Thanks
Dinesh
