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ASF GitHub Bot commented on FLINK-5280: --------------------------------------- Github user wuchong commented on a diff in the pull request: https://github.com/apache/flink/pull/3039#discussion_r93757999 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/api/TableEnvironment.scala --- @@ -340,25 +331,8 @@ abstract class TableEnvironment(val config: TableConfig) { * @return A tuple of two arrays holding the field names and corresponding field positions. */ protected[flink] def getFieldInfo[A](inputType: TypeInformation[A]): - (Array[String], Array[Int]) = - { - validateType(inputType) - - val fieldNames: Array[String] = inputType match { - case t: TupleTypeInfo[A] => t.getFieldNames - case c: CaseClassTypeInfo[A] => c.getFieldNames - case p: PojoTypeInfo[A] => p.getFieldNames - case r: RowTypeInfo => r.getFieldNames - case tpe => - throw new TableException(s"Type $tpe lacks explicit field naming") - } - val fieldIndexes = fieldNames.indices.toArray - - if (fieldNames.contains("*")) { - throw new TableException("Field name can not be '*'.") - } - - (fieldNames, fieldIndexes) + (Array[String], Array[Int]) = { + TableEnvironment.getFieldInfo(inputType) --- End diff -- It seems that this is redundant, we can remove this and use the util `getFieldInfo` instead of calling this method. > Extend TableSource to support nested data > ----------------------------------------- > > Key: FLINK-5280 > URL: https://issues.apache.org/jira/browse/FLINK-5280 > Project: Flink > Issue Type: Improvement > Components: Table API & SQL > Affects Versions: 1.2.0 > Reporter: Fabian Hueske > Assignee: Ivan Mushketyk > > The {{TableSource}} interface does currently only support the definition of > flat rows. > However, there are several storage formats for nested data that should be > supported such as Avro, Json, Parquet, and Orc. The Table API and SQL can > also natively handle nested rows. > The {{TableSource}} interface and the code to register table sources in > Calcite's schema need to be extended to support nested data. -- This message was sent by Atlassian JIRA (v6.3.4#6332)