Michal Šenkýř created SPARK-19089:
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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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