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* 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
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* Unless required by applicable law or agreed to in writing, software
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package org.apache.flink.table.plan.nodes.logical
import org.apache.flink.table.plan.metadata.FlinkRelMetadataQuery
import org.apache.flink.table.plan.nodes.FlinkConventions
import org.apache.flink.table.plan.nodes.calcite.LogicalLastRow
import org.apache.calcite.plan._
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.convert.ConverterRule
import org.apache.calcite.rel.{RelNode, RelWriter, SingleRel}
import java.util
import scala.collection.JavaConversions._
class FlinkLogicalLastRow(
cluster: RelOptCluster,
traitSet: RelTraitSet,
input: RelNode,
uniqueKeys: Array[Int],
rowType: RelDataType)
extends SingleRel(cluster, traitSet, input)
with FlinkLogicalRel {
override def deriveRowType(): RelDataType = rowType
def getUniqueKeys: Array[Int] = uniqueKeys
override def copy(
traitSet: RelTraitSet,
inputs: util.List[RelNode]): RelNode = {
new FlinkLogicalLastRow(cluster, traitSet, inputs.get(0), uniqueKeys, rowType)
}
override def explainTerms(pw: RelWriter): RelWriter = {
val keyNames = uniqueKeys.map(input.getRowType.getFieldNames.get(_)).mkString(", ")
super.explainTerms(pw)
.item("key", keyNames)
.item("select", rowType.getFieldNames.mkString(", "))
}
override def isDeterministic: Boolean = true
}
class FlinkLogicalLastRowConverter extends ConverterRule(
classOf[LogicalLastRow],
Convention.NONE,
FlinkConventions.LOGICAL,
"FlinkLogicalLastRowConverter") {
override def convert(rel: RelNode): RelNode = {
val lastRowNode = rel.asInstanceOf[LogicalLastRow]
val traitSet = FlinkRelMetadataQuery.traitSet(rel).replace(FlinkConventions.LOGICAL).simplify()
val newInput = RelOptRule.convert(lastRowNode.getInput, FlinkConventions.LOGICAL)
val uniqueKeyNames = lastRowNode.uniqueKeys
val uniqueKeyIndex = lastRowNode.getRowType.getFieldNames.zipWithIndex
.filter(e => uniqueKeyNames.contains(e._1))
.map(_._2).toArray
new FlinkLogicalLastRow(
rel.getCluster, traitSet, newInput, uniqueKeyIndex, rel.getRowType)
}
}
object FlinkLogicalLastRow {
val CONVERTER = new FlinkLogicalLastRowConverter
}