[ https://issues.apache.org/jira/browse/FLINK-7939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tzu-Li (Gordon) Tai closed FLINK-7939. -------------------------------------- Resolution: Fixed Fix Version/s: (was: 1.3.3) 1.3.4 > 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 > Priority: Major > Fix For: 1.3.4, 1.4.0 > > > 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>>}}. -- This message was sent by Atlassian JIRA (v7.6.3#76005)