[jira] [Closed] (FLINK-6226) ScalarFunction and TableFunction do not support parameters of byte, short and float

["Tzu-Li (Gordon) Tai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-6226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Tzu-Li (Gordon) Tai closed FLINK-6226.
--------------------------------------
       Resolution: Fixed
    Fix Version/s:     (was: 1.3.3)
                   1.3.4

> ScalarFunction and TableFunction do not support parameters of byte, short and float
> -----------------------------------------------------------------------------------
>
>                 Key: FLINK-6226
>                 URL: https://issues.apache.org/jira/browse/FLINK-6226
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>            Reporter: Zhuoluo Yang
>            Assignee: Fabian Hueske
>            Priority: Major
>             Fix For: 1.3.4, 1.4.0
>
>
> It seems to be a problem that ScalarFunction and TableFunction do not support types of byte, short or float.
> It will throw some exceptions like following;
> {panel}
> org.apache.flink.table.api.ValidationException: Given parameters of function 'org$apache$flink$table$expressions$utils$Func18$$98a126fbdab73f43d640516da603291a' do not match any signature. 
> Actual: (java.lang.String, java.lang.Integer, java.lang.Integer, java.lang.Integer, java.lang.Long) 
> Expected: (java.lang.String, byte, short, int, long)
> 	at org.apache.flink.table.functions.utils.ScalarSqlFunction$$anon$1.inferReturnType(ScalarSqlFunction.scala:82)
> 	at org.apache.calcite.sql.SqlOperator.inferReturnType(SqlOperator.java:469)
> 	at org.apache.calcite.rex.RexBuilder.deriveReturnType(RexBuilder.java:271)
> 	at org.apache.calcite.tools.RelBuilder.call(RelBuilder.java:518)
> 	at org.apache.flink.table.expressions.ScalarFunctionCall.toRexNode(call.scala:68)
> 	at org.apache.flink.table.expressions.Alias.toRexNode(fieldExpression.scala:76)
> 	at org.apache.flink.table.plan.logical.Project$$anonfun$construct$1.apply(operators.scala:95)
> 	at org.apache.flink.table.plan.logical.Project$$anonfun$construct$1.apply(operators.scala:95)
> 	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> 	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> 	at scala.collection.immutable.List.foreach(List.scala:318)
> 	at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:32)
> 	at scala.collection.mutable.ListBuffer.foreach(ListBuffer.scala:45)
> 	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> 	at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> 	at org.apache.flink.table.plan.logical.Project.construct(operators.scala:95)
> 	at org.apache.flink.table.plan.logical.LogicalNode.toRelNode(LogicalNode.scala:77)
> 	at org.apache.flink.table.api.Table.getRelNode(table.scala:72)
> 	at org.apache.flink.table.expressions.utils.ExpressionTestBase.addTableApiTestExpr(ExpressionTestBase.scala:215)
> 	at org.apache.flink.table.expressions.utils.ExpressionTestBase.testAllApis(ExpressionTestBase.scala:241)
> 	at org.apache.flink.table.expressions.UserDefinedScalarFunctionTest.testVariableArgs(UserDefinedScalarFunctionTest.scala:240)
> {panel}
> Testing code looks like following:
> {code:java}
> object Func18 extends ScalarFunction {
>   def eval(a: String, b: Byte, c: Short, d: Int, e: Long): String = {
>     a + "," + b + "," + c + "," + d + "," + e
>   }
> }
> class TableFunc4 extends  TableFunction[Row] {
>   def eval(data: String, tinyInt: Byte, smallInt: Short, int: Int, long: Long): Unit = {
>     val row = new Row(5)
>     row.setField(0, data)
>     row.setField(1, tinyInt)
>     row.setField(2, smallInt)
>     row.setField(3, int)
>     row.setField(4, long)
>     collect(row)
>   }
>   override def getResultType: TypeInformation[Row] = {
>     new RowTypeInfo(
>       BasicTypeInfo.STRING_TYPE_INFO,
>       BasicTypeInfo.BYTE_TYPE_INFO,
>       BasicTypeInfo.SHORT_TYPE_INFO,
>       BasicTypeInfo.INT_TYPE_INFO,
>       BasicTypeInfo.LONG_TYPE_INFO
>     )
>   }
> }
> {code}



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