Thanks for reporting. This was a result of a change to our DDL parser that
resulted in types becoming reserved words. I've filled a JIRA and will
investigate if this is something we can fix.
https://issues.apache.org/jira/browse/SPARK-6250
On Tue, Mar 10, 2015 at 1:51 PM, Nitay Joffe <ni...@actioniq.co> wrote:
> In Spark 1.2 I used to be able to do this:
>
> scala>
> org.apache.spark.sql.hive.HiveMetastoreTypes.toDataType("struct<int:bigint>")
> res30: org.apache.spark.sql.catalyst.types.DataType =
> StructType(List(StructField(int,LongType,true)))
>
> That is, the name of a column can be a keyword like "int". This is no
> longer the case in 1.3:
>
> data-pipeline-shell> HiveTypeHelper.toDataType("struct<int:bigint>")
> org.apache.spark.sql.sources.DDLException: Unsupported dataType: [1.8]
> failure: ``>'' expected but `int' found
>
> struct<int:bigint>
> ^
> at org.apache.spark.sql.sources.DDLParser.parseType(ddl.scala:52)
> at
> org.apache.spark.sql.hive.HiveMetastoreTypes$.toDataType(HiveMetastoreCatalog.scala:785)
> at
> org.apache.spark.sql.hive.HiveTypeHelper$.toDataType(HiveTypeHelper.scala:9)
>
> Note HiveTypeHelper is simply an object I load in to expose
> HiveMetastoreTypes since it was made private. See
> https://gist.github.com/nitay/460b41ed5fd7608507f5
> <https://app.relateiq.com/r?c=chrome_gmail&url=https%3A%2F%2Fgist.github.com%2Fnitay%2F460b41ed5fd7608507f5&t=AFwhZf262cJFT8YSR54ZotvY2aTmpm_zHTSKNSd4jeT-a6b8q-yMXQ-BqEX9-Ym54J1bkDFiFOXyRKsNxXoDGIh7bhqbBVKsGGq6YTJIfLZxs375XXPdS13KHsE_3Lffk4UIFkRFZ_7c>
>
> This is actually a pretty big problem for us as we have a bunch of legacy
> tables with column names like "timestamp". They work fine in 1.2, but now
> everything throws in 1.3.
>
> Any thoughts?
>
> Thanks,
> - Nitay
> Founder & CTO
>
>
