Sorry my bad, I ran in Spark 1.6.1 but what about this error? Why Int cannot be cast to Long?
Thanks. > On Aug 1, 2016, at 2:44 AM, Michael Armbrust <mich...@databricks.com> wrote: > > Are you sure you are running Spark 2.0? > > In your stack trace I see SqlNewHadoopRDD, which was removed in #12354 > <https://github.com/apache/spark/pull/12354>. > > On Sun, Jul 31, 2016 at 2:12 AM, Chanh Le <giaosu...@gmail.com > <mailto:giaosu...@gmail.com>> wrote: > Hi everyone, > Why MutableInt cannot be cast to MutableLong? > It’s really weird and seems Spark 2.0 has a lot of error with parquet about > format. > > org.apache.spark.sql.catalyst.expressions.MutableInt cannot be cast to > org.apache.spark.sql.catalyst.expressions.MutableL ong > > Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value > at 0 in block 0 in file > file:/data/etl-report/parquet/AD_COOKIE_REPORT/time=2016-07- > 25-16/network_id=31713/part-r-00000-9adbef89-f2f4-4836-a50c-a2e7b381d558.snappy.parquet > at > org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:228) > at > org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:201) > at > org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.hasNext(SqlNewHadoopRDD.scala:194) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:88) > at > org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:86) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > Caused by: java.lang.ClassCastException: > org.apache.spark.sql.catalyst.expressions.MutableInt cannot be cast to > org.apache.spark.sql.catalyst.expressions.MutableL > ong > at > org.apache.spark.sql.catalyst.expressions.SpecificMutableRow.setLong(SpecificMutableRow.scala:295) > at > org.apache.spark.sql.execution.datasources.parquet.CatalystRowConverter$RowUpdater.setLong(CatalystRowConverter.scala:161) > at > org.apache.spark.sql.execution.datasources.parquet.CatalystPrimitiveConverter.addLong(CatalystRowConverter.scala:85) > at > org.apache.parquet.column.impl.ColumnReaderImpl$2$4.writeValue(ColumnReaderImpl.java:269) > at > org.apache.parquet.column.impl.ColumnReaderImpl.writeCurrentValueToConverter(ColumnReaderImpl.java:365) > at > org.apache.parquet.io.RecordReaderImplementation.read(RecordReaderImplementation.java:405) > at > org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:209) > ... 20 more >
