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Posted to issues@flink.apache.org by "Fabian Hueske (JIRA)" <ji...@apache.org> on 2017/10/28 19:39:00 UTC
[jira] [Created] (FLINK-7939) DataStream of atomic type cannot be
converted to Table with time attributes
Fabian Hueske created FLINK-7939:
------------------------------------
Summary: DataStream of atomic type cannot be converted to Table with time attributes
Key: FLINK-7939
URL: https://issues.apache.org/jira/browse/FLINK-7939
Project: Flink
Issue Type: Bug
Components: Table API & SQL
Affects Versions: 1.4.0, 1.3.3
Reporter: Fabian Hueske
Assignee: Fabian Hueske
Fix For: 1.4.0, 1.3.3
A DataStream of an atomic type, such as {{DataStream<String>}} or {{DataStream<Long>}} cannot be converted into a {{Table}} with a time attribute.
{code}
DataStream<String> stream = ...
Table table = tEnv.fromDataStream(stream, "string, rowtime.rowtime")
{code}
yields
{code}
Exception in thread "main" org.apache.flink.table.api.TableException: Field reference expression requested.
at org.apache.flink.table.api.TableEnvironment$$anonfun$1.apply(TableEnvironment.scala:630)
at org.apache.flink.table.api.TableEnvironment$$anonfun$1.apply(TableEnvironment.scala:624)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186)
at org.apache.flink.table.api.TableEnvironment.getFieldInfo(TableEnvironment.scala:624)
at org.apache.flink.table.api.StreamTableEnvironment.registerDataStreamInternal(StreamTableEnvironment.scala:398)
at org.apache.flink.table.api.scala.StreamTableEnvironment.fromDataStream(StreamTableEnvironment.scala:85)
{code}
As a workaround the atomic type can be wrapped in {{Tuple1}}, i.e., convert a {{DataStream<String>}} into a {{DataStream<Tuple1<String>>}}.
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