Mailing-List: contact issues-help@spark.apache.org; run by ezmlm
Precedence: bulk
Date: Tue, 26 Sep 2017 03:22:00 +0000 (UTC)
From: "Michael Fu (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.13104646.1506312908000.200280.1506396120548@Atlassian.JIRA>
In-Reply-To: <JIRA.13104646.1506312908000@Atlassian.JIRA>
References: <JIRA.13104646.1506312908000@Atlassian.JIRA> <JIRA.13104646.1506312908272@jira-lw-us.apache.org>
Subject: [jira] [Commented] (SPARK-22113) Dataset shows in Hive is
 inconsistent with JDBC
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit
archived-at: Tue, 26 Sep 2017 03:22:06 -0000


    [ https://issues.apache.org/jira/browse/SPARK-22113?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16180162#comment-16180162 ] 

Michael Fu commented on SPARK-22113:
------------------------------------

Hi [~viirya], Thanks for investigating. I did my test according [sql-programming-guide|http://spark.apache.org/docs/latest/sql-programming-guide.html]

The reason why I access Hive(actually it's Impala here) via JDBC in spark is we integrate KUDU with Impala. So for any delete/update operation, I have to talk with JDBC. 

And for any query operation, I will obviously choose init session with _enableHiveSupport_ which is recommended by document. 
But why I raise this query operation issue is because I want to make sure all JDBC operations work well in spark, so I could use it in production without concern. 

BTW: I raised a [question in stackoverflow|https://stackoverflow.com/questions/46355882/dataset-shows-in-hive-is-inconsistent-with-jdbc] before I come here. There's a comment in there, hope it help.


> 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!


--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org