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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2015/05/13 19:42:00 UTC
[jira] [Commented] (SPARK-6819) Support nested types in SparkR
DataFrame
[ https://issues.apache.org/jira/browse/SPARK-6819?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14542301#comment-14542301 ]
Shivaram Venkataraman commented on SPARK-6819:
----------------------------------------------
Moving this to 1.5 as this is a pretty involved change
cc [~davies]
> Support nested types in SparkR DataFrame
> ----------------------------------------
>
> Key: SPARK-6819
> URL: https://issues.apache.org/jira/browse/SPARK-6819
> Project: Spark
> Issue Type: New Feature
> Components: SparkR, SQL
> Reporter: Shivaram Venkataraman
>
> ArrayType, MapType and StructureType
> We can infer the correct schema for them, but the serialization can not handle them well.
> From Davies in https://sparkr.atlassian.net/browse/SPARKR-230
> ArrayType could be c("ab", "ba"), we will serialize it as character. We does not support deserialize env in R (serialize Map[] in Scala). So all the three do not work.
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