org.apache.flink.table.planner.codegen.calls.BridgingSqlFunctionCallGen.scala Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.table.planner.codegen.calls
import org.apache.flink.table.functions.{FunctionDefinition, ScalarFunction, TableFunction, UserDefinedFunctionHelper}
import org.apache.flink.table.planner.codegen._
import org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil.generateFunctionAwareCall
import org.apache.flink.table.planner.delegation.PlannerBase
import org.apache.flink.table.planner.functions.bridging.BridgingSqlFunction
import org.apache.flink.table.planner.functions.inference.OperatorBindingCallContext
import org.apache.flink.table.runtime.collector.WrappingCollector
import org.apache.flink.table.types.logical.LogicalType
import org.apache.calcite.rex.{RexCall, RexCallBinding}
import java.util.Collections
/**
* Generates a call to a user-defined [[ScalarFunction]] or [[TableFunction]].
*
* Table functions are a special case because they are using a collector. Thus, the result of this
* generator will be a reference to a [[WrappingCollector]]. Furthermore, atomic types are wrapped
* into a row by the collector.
*/
class BridgingSqlFunctionCallGen(call: RexCall) extends CallGenerator {
override def generate(
ctx: CodeGeneratorContext,
operands: Seq[GeneratedExpression],
returnType: LogicalType)
: GeneratedExpression = {
val function: BridgingSqlFunction = call.getOperator.asInstanceOf[BridgingSqlFunction]
val definition: FunctionDefinition = function.getDefinition
val dataTypeFactory = function.getDataTypeFactory
// we could have implemented a dedicated code generation context but the closer we are to
// Calcite the more consistent is the type inference during the data type enrichment
val callContext = new OperatorBindingCallContext(
dataTypeFactory,
definition,
RexCallBinding.create(
function.getTypeFactory,
call,
Collections.emptyList()),
call.getType)
// create the final UDF for runtime
val udf = UserDefinedFunctionHelper.createSpecializedFunction(
function.getName,
definition,
callContext,
classOf[PlannerBase].getClassLoader,
ctx.tableConfig.getConfiguration)
val inference = udf.getTypeInference(dataTypeFactory)
generateFunctionAwareCall(
ctx,
operands,
returnType,
inference,
callContext,
udf,
function.toString,
skipIfArgsNull = false)
}
}