It looks like you hit https://issues.apache.org/jira/browse/SPARK-7837 . As I understand this occurs if there is skew in unpartitioned data.
Can you try partitioning model before saving it ? On Sat, Sep 5, 2015 at 11:16 PM, Madawa Soysa <madawa...@cse.mrt.ac.lk> wrote: > 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 <yblia...@gmail.com> wrote: > >> Please check the "outPath" and verify whether the saving succeed. >> Which version did you use? >> You may hit this issue <https://issues.apache.org/jira/browse/SPARK-7837> >> which >> is resolved at version 1.5. >> >> 2015-09-05 21:47 GMT+08:00 Madawa Soysa <madawa...@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 >>> >>> >>> >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >>> For additional commands, e-mail: dev-h...@spark.apache.org >>> >> >> > > > -- >
