org.apache.flink.table.plan.rules.physical.batch.BatchExecUnionRule.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.plan.rules.physical.batch
import org.apache.calcite.plan.{RelOptRule, RelOptRuleCall}
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.convert.ConverterRule
import org.apache.flink.table.plan.nodes.FlinkConventions
import org.apache.flink.table.plan.nodes.physical.batch.BatchExecUnion
import org.apache.flink.table.plan.nodes.logical.FlinkLogicalUnion
import scala.collection.JavaConversions._
class BatchExecUnionRule
extends ConverterRule(
classOf[FlinkLogicalUnion],
FlinkConventions.LOGICAL,
FlinkConventions.BATCH_PHYSICAL,
"BatchExecUnionRule") {
override def matches(call: RelOptRuleCall): Boolean = {
call.rel(0).asInstanceOf[FlinkLogicalUnion].all
}
def convert(rel: RelNode): RelNode = {
val union = rel.asInstanceOf[FlinkLogicalUnion]
val traitSet = rel.getTraitSet.replace(FlinkConventions.BATCH_PHYSICAL)
val relNodes = union.getInputs.map(RelOptRule.convert(_, FlinkConventions.BATCH_PHYSICAL))
new BatchExecUnion(
rel.getCluster,
traitSet,
relNodes,
rel.getRowType,
union.all)
}
}
object BatchExecUnionRule {
val INSTANCE: RelOptRule = new BatchExecUnionRule
}