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From "Fabian Hueske (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-6059) Reject DataSet<Row> and DataStream<Row> without RowTypeInformation
Date Wed, 15 Mar 2017 10:15:41 GMT
Fabian Hueske created FLINK-6059:

             Summary: Reject DataSet<Row> and DataStream<Row> without RowTypeInformation
                 Key: FLINK-6059
                 URL: https://issues.apache.org/jira/browse/FLINK-6059
             Project: Flink
          Issue Type: Bug
          Components: Table API & SQL
    Affects Versions: 1.2.0, 1.3.0
            Reporter: Fabian Hueske

It is not possible to automatically extract proper type information for {{Row}} because it
is not typed with generics and holds values in an {{Object[]}}.
Consequently is handled as {{GenericType<Row>}} unless a {{RowTypeInfo}} is explicitly

This can lead to unexpected behavior when converting a {{DataSet<Row>}} or {{DataStream<Row>}}
into a Table. If the data set or data stream has a {{GenericType<Row>}}, the rows are
treated as atomic type and converted into a single field.

I think we should reject input types of {{GenericType<Row>}} when converting data sets
and data streams and request a proper {{RowTypeInfo}}. 

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