Zhuoluo Yang created FLINK-6226:
-----------------------------------
Summary: 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
Reporter: Zhuoluo Yang
Assignee: Zhuoluo Yang
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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