[jira] [Created] (SPARK-19089) Support nested arrays/seqs in Datasets

["Michal Šenkýř (JIRA)" <ji...@apache.org>]

Michal Šenkýř created SPARK-19089:
-------------------------------------

             Summary: Support nested arrays/seqs in Datasets
                 Key: SPARK-19089
                 URL: https://issues.apache.org/jira/browse/SPARK-19089
             Project: Spark
          Issue Type: Improvement
          Components: SQL
            Reporter: Michal Šenkýř
            Priority: Minor


Nested arrays and seqs are not supported in Datasets:

{code}
scala> spark.createDataset(Seq(Array(Array(1))))
<console>:24: error: Unable to find encoder for type stored in a Dataset.  Primitive types (Int, String, etc) and Product types (case classes) are supported by importing spark.implicits._  Support for serializing other types will be added in future releases.
       spark.createDataset(Seq(Array(Array(1))))
                          ^

scala> Seq(Array(Array(1))).toDS()
<console>:24: error: value toDS is not a member of Seq[Array[Array[Int]]]
       Seq(Array(Array(1))).toDS()

scala> spark.createDataset(Seq(Seq(Seq(1))))
<console>:24: error: Unable to find encoder for type stored in a Dataset.  Primitive types (Int, String, etc) and Product types (case classes) are supported by importing spark.implicits._  Support for serializing other types will be added in future releases.
       spark.createDataset(Seq(Seq(Seq(1))))

scala> Seq(Seq(Seq(1))).toDS()
<console>:24: error: value toDS is not a member of Seq[Seq[Seq[Int]]]
       Seq(Seq(Seq(1))).toDS()
{code}



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