
org.apache.flink.table.plan.subplan.BatchDAGOptimizer.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.subplan
import org.apache.flink.table.api.BatchTableEnvironment
import org.apache.flink.table.plan.logical.LogicalNode
import org.apache.flink.table.plan.nodes.physical.batch.BatchExecSink
import org.apache.flink.table.plan.schema.IntermediateRelNodeTable
import org.apache.calcite.rel.RelNode
/**
* DAG optimizer for Batch.
*/
object BatchDAGOptimizer extends AbstractDAGOptimizer[BatchTableEnvironment] {
override protected def doOptimize(
sinks: Seq[LogicalNode],
tEnv: BatchTableEnvironment): Seq[RelNodeBlock] = {
// build RelNodeBlock plan
val relNodeBlocks = RelNodeBlockPlanBuilder.buildRelNodeBlockPlan(sinks, tEnv)
// optimize recursively RelNodeBlock
relNodeBlocks.foreach(block => optimizeBlock(block, tEnv))
relNodeBlocks
}
private def optimizeBlock(block: RelNodeBlock, tEnv: BatchTableEnvironment): Unit = {
block.children.foreach { child =>
if (child.getNewOutputNode.isEmpty) {
optimizeBlock(child, tEnv)
}
}
val originTree = block.getPlan
val optimizedTree = tEnv.optimize(originTree)
optimizedTree match {
case _: BatchExecSink[_] => // ignore
case _ =>
val name = tEnv.createUniqueTableName()
registerIntermediateTable(tEnv, name, optimizedTree)
val newTable = tEnv.scan(name)
block.setNewOutputNode(newTable.getRelNode)
block.setOutputTableName(name)
}
block.setOptimizedPlan(optimizedTree)
}
private def registerIntermediateTable(
tEnv: BatchTableEnvironment,
name: String,
relNode: RelNode): Unit = {
val table = new IntermediateRelNodeTable(relNode)
tEnv.registerTableInternal(name, table)
}
}
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