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From "Arina Ielchiieva (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (DRILL-5690) RepeatedDecimal18Vector does not pass scale, precision to data vector
Date Tue, 07 Nov 2017 10:15:01 GMT

     [ https://issues.apache.org/jira/browse/DRILL-5690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Arina Ielchiieva updated DRILL-5690:
    Fix Version/s:     (was: 1.12.0)

> RepeatedDecimal18Vector does not pass scale, precision to data vector
> ---------------------------------------------------------------------
>                 Key: DRILL-5690
>                 URL: https://issues.apache.org/jira/browse/DRILL-5690
>             Project: Apache Drill
>          Issue Type: Bug
>    Affects Versions: 1.10.0
>            Reporter: Paul Rogers
>            Assignee: Paul Rogers
>             Fix For: 1.13.0
> Decimal types require not just the type (Decimal9, Decimal18, etc.) but also a precision
and scale. The triple of (minor type, precision, scale) appears in the {{MaterializedField}}
for the nullable or required vectors.
> A repeated vector has three parts: the {{RepeatedDecimal18Vector}} which is composed
of a {{UInt4Vector}} offset vector and a {{Decimal18Vector}} that holds values.
> When {{RepeatedDecimal18Vector}} creates the {{Decimal18Vector}} to hold the values,
it clones the {{MaterializedField}}. But, it *does not* clone the scale and precision, resulting
in the loss of critical information.
> {code}
>   public RepeatedDecimal18Vector(MaterializedField field, BufferAllocator allocator)
>     super(field, allocator);
>     addOrGetVector(VectorDescriptor.create(Types.required(field.getType().getMinorType())));
>   }
> {code}
> This is normally not a problem because most code access the data via the repeated vector.
But, for code that needs to work with the values, the results are wrong given that the types
are wrong. (Values stored with one scale, 123.45, (scale 2) will be retrieved with 0 scale
(123, say).

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