outPath is correct. In the path, there are two directories data and metadata. In the data directory, following data structure is there.

|-data
|----user
|--------_temporary
|------------ 0
|----------------_temporary

But nothing is written inside the folders. I'm using spark 1.4.1.

On 6 September 2015 at 08:53, Yanbo Liang <ybliang8@gmail.com> wrote:
Please check the "outPath" and verify whether the saving succeed.
Which version did you use?
You may hit this issue which is resolved at version 1.5.

2015-09-05 21:47 GMT+08:00 Madawa Soysa <madawa.11@cse.mrt.ac.lk>:
Hi All,

I'm getting an error when trying to save a ALS MatrixFactorizationModel. I'm using following method to save the model.

model.save(sc, outPath)

I'm getting the following exception when saving the model. I have attached the full stack trace. Any help would be appreciated to resolve this issue.

org.apache.spark.SparkException: Job aborted.
        at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation.insert(commands.scala:166)
        at org.apache.spark.sql.sources.InsertIntoHadoopFsRelation.run(commands.scala:139)
        at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
        at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
        at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:68)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:88)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:88)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:87)
        at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:950)
        at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:950)
        at org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:336)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:144)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:135)
        at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:281)
        at org.apache.spark.mllib.recommendation.MatrixFactorizationModel$SaveLoadV1_0$.save(MatrixFactorizationModel.scala:284)
        at org.apache.spark.mllib.recommendation.MatrixFactorizationModel.save(MatrixFactorizationModel.scala:141)


Thanks,
Madawa




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