[jira] [Resolved] (SPARK-12270) JDBC Where clause comparison doesn't work for DB2 char(n)

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-12270.
----------------------------------
    Resolution: Incomplete

> JDBC Where clause comparison doesn't work for DB2 char(n) 
> ----------------------------------------------------------
>
>                 Key: SPARK-12270
>                 URL: https://issues.apache.org/jira/browse/SPARK-12270
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.0
>            Reporter: Huaxin Gao
>            Assignee: Apache Spark
>            Priority: Minor
>              Labels: bulk-closed
>
> I am doing some Spark jdbc test against DB2. My test is like this: 
> {code}
>      conn.prepareStatement(
>         "create table people (name char(32)").executeUpdate()
>      conn.prepareStatement("insert into people values ('fred')").executeUpdate()
>      sql(
>        s"""
>           |CREATE TEMPORARY TABLE foobar
>           |USING org.apache.spark.sql.jdbc
>           |OPTIONS (url '$url', dbtable 'PEOPLE', user 'testuser', password 'testpassword')
>       """.stripMargin.replaceAll("\n", " "))
>      val df = sqlContext.sql("SELECT * FROM foobar WHERE NAME = 'fred'")
> {code}
> I am expecting to see one row with content 'fred' in df. However, there is no row returned. If I changed the data type to varchar (32) in the create table ddl , then I can get the row back correctly. The cause of the problem is that for data type char (num), DB2 defines it as fixed-length character strings, so if I have char (32), when doing "SELECT * FROM foobar WHERE NAME = 'fred'", DB2 returns 'fred' padded with 28 empty space. Spark treats "fred' padded with empty space not the same as 'fred' so df doesn't have any row. If I have varchar (32), DB2 just returns 'fred' for the select statement and df has the right row. In order to make DB2 char (num) works for spark, I suggest to change spark code to trim the empty space after get the data from database. 



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