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Posted to user@spark.apache.org by Utkarsh Sengar <ut...@gmail.com> on 2016/02/09 00:41:57 UTC
LogisticRegressionModel not able to load serialized model from S3
I am storing a model in s3 in this path:
"bucket_name/p1/models/lr/20160204_0410PM/ser" and the structure of the
saved dir looks like this:
1. bucket_name/p1/models/lr/20160204_0410PM/ser/data -> _SUCCESS,
_metadata, _common_metadata
and part-r-00000-ebd3dc3c-1f2c-45a3-8793-c8f0cb8e7d01.gz.parquet
2. bucket_name/p1/models/lr/20160204_0410PM/ser/metadata/ -> _SUCCESS
and part-00000
So when I try to load "bucket_name/p1/models/lr/20160204_0410PM/ser"
for LogisticRegressionModel:
LogisticRegressionModel model = LogisticRegressionModel.load(sc.sc(),
"s3n://bucket_name/p1/models/lr/20160204_0410PM/ser");
I get this error consistently. I have permission to the bucket and I am
able to other data using textFiles()
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 2.0 (TID 5, mesos-slave12):
java.lang.NullPointerException
at
org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:433)
at parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:381)
at
parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:155)
at
parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138)
at
org.apache.spark.sql.sources.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:153)
at
org.apache.spark.sql.sources.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:124)
at
org.apache.spark.sql.sources.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:66)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org
$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
Any pointers of whats wrong?
--
-Utkarsh
Re: LogisticRegressionModel not able to load serialized model from S3
Posted by Utkarsh Sengar <ut...@gmail.com>.
The problem turned out to be corrupt parquet data, the error was a bit
misleading by spark though.
On Mon, Feb 8, 2016 at 3:41 PM, Utkarsh Sengar <ut...@gmail.com>
wrote:
> I am storing a model in s3 in this path:
> "bucket_name/p1/models/lr/20160204_0410PM/ser" and the structure of the
> saved dir looks like this:
>
> 1. bucket_name/p1/models/lr/20160204_0410PM/ser/data -> _SUCCESS,
> _metadata, _common_metadata
> and part-r-00000-ebd3dc3c-1f2c-45a3-8793-c8f0cb8e7d01.gz.parquet
> 2. bucket_name/p1/models/lr/20160204_0410PM/ser/metadata/ -> _SUCCESS
> and part-00000
>
> So when I try to load "bucket_name/p1/models/lr/20160204_0410PM/ser"
> for LogisticRegressionModel:
>
> LogisticRegressionModel model = LogisticRegressionModel.load(sc.sc(),
> "s3n://bucket_name/p1/models/lr/20160204_0410PM/ser");
>
> I get this error consistently. I have permission to the bucket and I am
> able to other data using textFiles()
>
> Exception in thread "main" org.apache.spark.SparkException: Job aborted
> due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent
> failure: Lost task 0.3 in stage 2.0 (TID 5, mesos-slave12):
> java.lang.NullPointerException
> at
> org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:433)
> at parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:381)
> at
> parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:155)
> at
> parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138)
> at
> org.apache.spark.sql.sources.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:153)
> at
> org.apache.spark.sql.sources.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:124)
> at
> org.apache.spark.sql.sources.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:66)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> 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)
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org
> $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>
> Any pointers of whats wrong?
>
> --
> -Utkarsh
>
--
Thanks,
-Utkarsh