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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/02/02 21:18:34 UTC

[jira] [Created] (SPARK-5532) Repartitioning DataFrame causes saveAsParquetFile to fail with VectorUDT

Joseph K. Bradley created SPARK-5532:
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             Summary: Repartitioning DataFrame causes saveAsParquetFile to fail with VectorUDT
                 Key: SPARK-5532
                 URL: https://issues.apache.org/jira/browse/SPARK-5532
             Project: Spark
          Issue Type: Bug
          Components: MLlib, SQL
    Affects Versions: 1.3.0
            Reporter: Joseph K. Bradley


Deterministic failure:
{code}
import org.apache.spark.mllib.linalg._
import org.apache.spark.sql.SQLContext
val sqlContext = new SQLContext(sc)
import sqlContext._
val data = sc.parallelize(Seq((1.0, Vectors.dense(1,2,3)))).toDataFrame("label", "features")
data.repartition(1).saveAsParquetFile("blah")
{code}
If you remove the repartition, then this succeeds.




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