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https://issues.apache.org/jira/browse/SPARK-6672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yin Huai updated SPARK-6672:
----------------------------
Fix Version/s: 1.3.1
> createDataFrame from RDD[Row] with UDTs cannot be saved
> -------------------------------------------------------
>
> Key: SPARK-6672
> URL: https://issues.apache.org/jira/browse/SPARK-6672
> Project: Spark
> Issue Type: Bug
> Components: MLlib, SQL
> Affects Versions: 1.3.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Fix For: 1.3.1, 1.4.0
>
>
> Reported by Jaonary
> (https://www.mail-archive.com/user@spark.apache.org/msg25218.html):
> {code}
> import org.apache.spark.mllib.linalg._
> import org.apache.spark.mllib.regression._
> val df0 = sqlContext.createDataFrame(Seq(LabeledPoint(1.0, Vectors.dense(2.0,
> 3.0))))
> df0.save("/tmp/df0") // works
> val df1 = sqlContext.createDataFrame(df0.rdd, df0.schema)
> df1.save("/tmp/df1") // error
> {code}
> throws
> {code}
> 15/04/01 23:24:16 INFO DAGScheduler: Job 3 failed: runJob at
> newParquet.scala:686, took 0.288304 s
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in
> stage 3.0 failed 1 times, most recent failure: Lost task 3.0 in stage 3.0
> (TID 15, localhost): java.lang.ClassCastException:
> org.apache.spark.mllib.linalg.DenseVector cannot be cast to
> org.apache.spark.sql.Row
> at
> org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:191)
> at
> org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:182)
> at
> org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:171)
> at
> org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:134)
> at
> parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:120)
> at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
> at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
> at
> org.apache.spark.sql.parquet.ParquetRelation2.org$apache$spark$sql$parquet$ParquetRelation2$$writeShard$1(newParquet.scala:668)
> at
> org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:686)
> at
> org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:686)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:212)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> {code}
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