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Posted to user@spark.apache.org by Chanh Le <gi...@gmail.com> on 2016/07/31 09:12:19 UTC

[Spark 2.0] Why MutableInt cannot be cast to MutableLong?

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

Re: [Spark 2.0] Why MutableInt cannot be cast to MutableLong?

Posted by Chanh Le <gi...@gmail.com>.
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 <gi...@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 <michael@databricks.com <ma...@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 <giaosudau@gmail.com <ma...@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
>> 
>

Re: [Spark 2.0] Why MutableInt cannot be cast to MutableLong?

Posted by Chanh Le <gi...@gmail.com>.
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 <mi...@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 <giaosudau@gmail.com <ma...@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
>

Re: [Spark 2.0] Why MutableInt cannot be cast to MutableLong?

Posted by Michael Armbrust <mi...@databricks.com>.
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 <gi...@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
>