org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableFunctionScan.scala Maven / Gradle / Ivy
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This module bridges Table/SQL API and runtime. It contains
all resources that are required during pre-flight and runtime
phase. The content of this module is work-in-progress. It will
replace flink-table-planner once it is stable. See FLINK-11439
and FLIP-32 for more details.
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.flink.table.planner.plan.nodes.logical
import org.apache.flink.table.functions.TemporalTableFunction
import org.apache.flink.table.planner.functions.bridging.BridgingSqlFunction
import org.apache.flink.table.planner.functions.utils.TableSqlFunction
import org.apache.flink.table.planner.plan.nodes.FlinkConventions
import org.apache.calcite.plan.{Convention, RelOptCluster, RelOptRule, RelOptRuleCall, RelTraitSet}
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.convert.ConverterRule
import org.apache.calcite.rel.core.TableFunctionScan
import org.apache.calcite.rel.logical.LogicalTableFunctionScan
import org.apache.calcite.rel.metadata.RelColumnMapping
import org.apache.calcite.rex.{RexCall, RexNode}
import java.lang.reflect.Type
import java.util
import scala.collection.JavaConversions._
/**
* Sub-class of [[TableFunctionScan]] that is a relational expression
* which calls a table-valued function in Flink.
*/
class FlinkLogicalTableFunctionScan(
cluster: RelOptCluster,
traitSet: RelTraitSet,
inputs: util.List[RelNode],
rexCall: RexNode,
elementType: Type,
rowType: RelDataType,
columnMappings: util.Set[RelColumnMapping])
extends TableFunctionScan(
cluster,
traitSet,
inputs,
rexCall,
elementType,
rowType,
columnMappings)
with FlinkLogicalRel {
override def copy(
traitSet: RelTraitSet,
inputs: util.List[RelNode],
rexCall: RexNode,
elementType: Type,
rowType: RelDataType,
columnMappings: util.Set[RelColumnMapping]): TableFunctionScan = {
new FlinkLogicalTableFunctionScan(
cluster,
traitSet,
inputs,
rexCall,
elementType,
rowType,
columnMappings)
}
}
class FlinkLogicalTableFunctionScanConverter
extends ConverterRule(
classOf[LogicalTableFunctionScan],
Convention.NONE,
FlinkConventions.LOGICAL,
"FlinkLogicalTableFunctionScanConverter") {
override def matches(call: RelOptRuleCall): Boolean = {
val logicalTableFunction: LogicalTableFunctionScan = call.rel(0)
!isTemporalTableFunctionCall(logicalTableFunction)
}
private def isTemporalTableFunctionCall(
logicalTableFunction: LogicalTableFunctionScan): Boolean = {
if (!logicalTableFunction.getCall.isInstanceOf[RexCall]) {
return false
}
val rexCall = logicalTableFunction.getCall.asInstanceOf[RexCall]
val functionDefinition = rexCall.getOperator match {
case tsf: TableSqlFunction => tsf.udtf
case bsf: BridgingSqlFunction => bsf.getDefinition
case _ => return false
}
functionDefinition.isInstanceOf[TemporalTableFunction]
}
def convert(rel: RelNode): RelNode = {
val scan = rel.asInstanceOf[LogicalTableFunctionScan]
val traitSet = rel.getTraitSet.replace(FlinkConventions.LOGICAL).simplify()
val newInputs = scan.getInputs.map(input => RelOptRule.convert(input, FlinkConventions.LOGICAL))
new FlinkLogicalTableFunctionScan(
scan.getCluster,
traitSet,
newInputs,
scan.getCall,
scan.getElementType,
scan.getRowType,
scan.getColumnMappings
)
}
}
object FlinkLogicalTableFunctionScan {
val CONVERTER = new FlinkLogicalTableFunctionScanConverter
}