[
https://issues.apache.org/jira/browse/FLINK-5280?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15772811#comment-15772811
]
ASF GitHub Bot commented on FLINK-5280:
---------------------------------------
Github user mushketyk commented on a diff in the pull request:
https://github.com/apache/flink/pull/3039#discussion_r93761407
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/api/TableEnvironment.scala
---
@@ -535,4 +509,74 @@ object TableEnvironment {
new ScalaStreamTableEnv(executionEnvironment, tableConfig)
}
+
+ /**
+ * Returns field names and field positions for a given
[[TypeInformation]].
+ *
+ * Field names are automatically extracted for
+ * [[org.apache.flink.api.common.typeutils.CompositeType]].
+ * The method fails if inputType is not a
+ * [[org.apache.flink.api.common.typeutils.CompositeType]].
+ *
+ * @param inputType The TypeInformation extract the field names and
positions from.
+ * @tparam A The type of the TypeInformation.
+ * @return A tuple of two arrays holding the field names and
corresponding field positions.
+ */
+ 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
--- End diff --
Good point, will do that.
> 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)
