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https://issues.apache.org/jira/browse/SPARK-19089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16014536#comment-16014536
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Michal Šenkýř commented on SPARK-19089:
---------------------------------------
I would like to point out that SPARK-18891 introduced a few implicit methods to
master that this PR removes. As 2.2 was not released yet, it might be a good
idea to resolve this PR before release to prevent introducing those new methods
into the release version.
> 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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