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Home/ Questions/Q 696453
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Editorial Team
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Editorial Team
Asked: May 14, 20262026-05-14T03:03:54+00:00 2026-05-14T03:03:54+00:00

I have a problem with the mapping of Oracle Float double precision datatype to

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I have a problem with the mapping of Oracle Float double precision datatype to Java Double datatype. The hibernate schema validator seems to fail when the Java Double datatype is used.

org.hibernate.HibernateException: Wrong column type in DB.TABLE for column amount. Found: float, expected: double precision

The only way to avoid this is to disable schema validation and hope the schema is in sync with the app about to run. It must be fixed before it goes out to production.

App’s evironment:
– Grails 1.2.1
– Hibernate-core 3.3.1.GA
– Oracle 10g

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  1. Editorial Team
    Editorial Team
    2026-05-14T03:03:54+00:00Added an answer on May 14, 2026 at 3:03 am

    Need more info. The table is Double? I’m not familiar with Oracle, but is that a floating point type? What java.sql.Types type does it translate to? You can see the java.sql.Types to database type mapping in the dialect class for your database. In this case it is org.hibernate.dialect.Oracle10gDialect (which extends 9i and 8i). Looks like you have

    registerColumnType( Types.DOUBLE, "double precision" );
    

    So, the table needs to be defined as double precision, and the java class needs to be defined as something that will map to Types.Double, usually double.

    From the error message, it looks like your table is defined as float which would use this mapping

    registerColumnType( Types.FLOAT, "float" );
    

    for which the expected java type would be something that maps to Types.FLOAT, usually float; a single precision value.

    The easiest thing to do is either change your table or java class to match. Alternately, you can specify a user type that would map a single precision value to a double precision value; I can’t think of why you would really want to do that, but maybe if you didn’t have control over both the class and the table, which is quite rare, I would think.

    hth.

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