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

["Nic Eggert (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-15705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15371513#comment-15371513 ] 

Nic Eggert commented on SPARK-15705:
------------------------------------

Double-checked just for fun. The problem still exists in RC2.

> 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
>            Priority: Critical
>
> 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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