You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2015/05/13 19:42:00 UTC
[jira] [Updated] (SPARK-6819) Support nested types in SparkR
DataFrame
[ https://issues.apache.org/jira/browse/SPARK-6819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shivaram Venkataraman updated SPARK-6819:
-----------------------------------------
Target Version/s: 1.5.0 (was: 1.4.0)
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org