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

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.3.4, 1.4.0
• Component/s: Table SQL / API
• Assignee: Fabian Hueske
• Reporter: Zhuoluo Yang
• Created: 31/Mar/17 07:56
• Updated: 12/Mar/18 15:34
• Resolved: 12/Mar/18 15:34

Description

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;

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)

Testing code looks like following:

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
    )
  }
}