If I have a column store in a parquet file under INT type and I create a table
with the same column but change the time from int to bigint.
in Spark 2.0 it shows error:
Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task
0 in stage 259.0 failed 4 times, most recent failure: Lost task 0.3 in stage
259.0 (TID 22958, slave2): java.lang.UnsupportedOperationException:
org.apache.parquet.column.values.dictionary.PlainValuesDictionary$PlainLongDictionary
at org.apache.parquet.column.Dictionary.decodeToInt(Dictionary.java:48)
at
org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getInt(OnHeapColumnVector.java:233)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$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)
So I think this error still happen in Spark 2.0
> On Aug 1, 2016, at 9:21 AM, Chanh Le <giaosu...@gmail.com> wrote:
>
> 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
>> <mailto: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
>>
>
