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From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-22320) ORC should support VectorUDT/MatrixUDT
Date Mon, 22 Jan 2018 02:17:15 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16333787#comment-16333787
] 

Dongjoon Hyun commented on SPARK-22320:
---------------------------------------

With the above workaround, I think this seems to be a minor issue.

> ORC should support VectorUDT/MatrixUDT
> --------------------------------------
>
>                 Key: SPARK-22320
>                 URL: https://issues.apache.org/jira/browse/SPARK-22320
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.2, 2.1.2, 2.2.0
>            Reporter: zhengruifeng
>            Priority: Major
>
> I save dataframe containing vectors in ORC format, when I read it back, the format is
changed.
> {code}
> scala> import org.apache.spark.ml.linalg._
> import org.apache.spark.ml.linalg._
> scala> val data = Seq((1,Vectors.dense(1.0,2.0)), (2,Vectors.sparse(8, Array(4), Array(1.0))))
> data: Seq[(Int, org.apache.spark.ml.linalg.Vector)] = List((1,[1.0,2.0]), (2,(8,[4],[1.0])))
> scala> val df = data.toDF("i", "vec")
> df: org.apache.spark.sql.DataFrame = [i: int, vec: vector]
> scala> df.schema
> res0: org.apache.spark.sql.types.StructType = StructType(StructField(i,IntegerType,false),
StructField(vec,org.apache.spark.ml.linalg.VectorUDT@3bfc3ba7,true))
> scala> df.write.orc("/tmp/123")
> scala> val df2 = spark.sqlContext.read.orc("/tmp/123")
> df2: org.apache.spark.sql.DataFrame = [i: int, vec: struct<type: tinyint, size: int
... 2 more fields>]
> scala> df2.schema
> res3: org.apache.spark.sql.types.StructType = StructType(StructField(i,IntegerType,true),
StructField(vec,StructType(StructField(type,ByteType,true), StructField(size,IntegerType,true),
StructField(indices,ArrayType(IntegerType,true),true), StructField(values,ArrayType(DoubleType,true),true)),true))
> {code}



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