[jira] [Comment Edited] (SPARK-15705) Spark won't read ORC schema from metastore for partitioned tables

["Xin Wu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-15705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15313257#comment-15313257 ] 

Xin Wu edited comment on SPARK-15705 at 6/2/16 11:15 PM:
---------------------------------------------------------

I can recreate it now. and will look into it. This is different issue than SPARK-14959


was (Author: xwu0226):
I can recreate it now. and will look into it. 

> Spark won't read ORC schema from metastore for partitioned tables
> -----------------------------------------------------------------
>
>                 Key: SPARK-15705
>                 URL: https://issues.apache.org/jira/browse/SPARK-15705
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>         Environment: HDP 2.3.4 (Hive 1.2.1, Hadoop 2.7.1)
>            Reporter: Nic Eggert
>
> Spark does not seem to read the schema from the Hive metastore for partitioned tables stored as ORC files. It appears to read the schema from the files themselves, which, if they were created with Hive, does not match the metastore schema (at least not before before Hive 2.0, see HIVE-4243). To reproduce:
> In Hive:
> {code}
> hive> create table default.test (id BIGINT, name STRING) partitioned by (state STRING) stored as orc;
> hive> insert into table default.test partition (state="CA") values (1, "mike"), (2, "steve"), (3, "bill");
> {code}
> In Spark
> {code}
> scala> spark.table("default.test").printSchema
> {code}
> Expected result: Spark should preserve the column names that were defined in Hive.
> Actual Result:
> {code}
> root
>  |-- _col0: long (nullable = true)
>  |-- _col1: string (nullable = true)
>  |-- state: string (nullable = true)
> {code}
> Possibly related to SPARK-14959?



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