[jira] [Created] (SPARK-22113) Dataset shows in Hive is inconsistent with JDBC

["Michael Fu (JIRA)" <ji...@apache.org>]

Michael Fu created SPARK-22113:
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             Summary: Dataset shows in Hive is inconsistent with JDBC
                 Key: SPARK-22113
                 URL: https://issues.apache.org/jira/browse/SPARK-22113
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.2.0
         Environment: version 2.2.0
            Reporter: Michael Fu


I am trying to query data from Hive in spark. According spark-sql document, there're two ways to do this:
The first way is Init session with _enableHiveSupport_

{code:java}
SparkSession session = SparkSession.builder().enableHiveSupport().getOrCreate();
session.sql("select dw_date from tfdw.dwd_dim_date limit 10").show();
{code}

the dataset shows the correct result
!https://i.stack.imgur.com/gBJCj.png!

The second way is through JDBC

{code:java}
Dataset<Row> ds = session.read()
                  .format("jdbc")
                  .option("driver", "org.apache.hive.jdbc.HiveDriver")
                  .option("url", "jdbc:hive2://iZ11syxr6afZ:21050/;auth=noSasl")
                  .option("dbtable", "tfdw.dwd_dim_date")
                  .load();
ds.select("dw_date").limit(10).show();
{code}
But the dataset only show the column name in the result rather than the data in the column
!https://i.stack.imgur.com/FBMDN.png!
The two pictures should be consistent I think. Any outstanding I missed ? Many thanks!




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