org.apache.flink.table.plan.nodes.datastream.DataStreamGroupAggregate.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.nodes.datastream
import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
import org.apache.calcite.rel.core.AggregateCall
import org.apache.calcite.rel.RelNode
import org.apache.flink.table.plan.schema.RowSchema
import org.apache.flink.table.runtime.aggregate.AggregateUtil.CalcitePair
import org.apache.flink.table.util.Logging
/**
*
* Flink RelNode for data stream unbounded group aggregate
*
* @param cluster Cluster of the RelNode, represent for an environment of related
* relational expressions during the optimization of a query.
* @param traitSet Trait set of the RelNode
* @param inputNode The input RelNode of aggregation
* @param namedAggregates List of calls to aggregate functions and their output field names
* @param inputSchema The type of the rows consumed by this RelNode
* @param schema The type of the rows emitted by this RelNode
* @param groupings The position (in the input Row) of the grouping keys
*/
class DataStreamGroupAggregate(
cluster: RelOptCluster,
traitSet: RelTraitSet,
inputNode: RelNode,
namedAggregates: Seq[CalcitePair[AggregateCall, String]],
schema: RowSchema,
inputSchema: RowSchema,
groupings: Array[Int])
extends DataStreamGroupAggregateBase(
cluster,
traitSet,
inputNode,
namedAggregates,
schema,
inputSchema,
groupings,
"Aggregate")
with DataStreamRel
with Logging {
override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]): RelNode = {
new DataStreamGroupAggregate(
cluster,
traitSet,
inputs.get(0),
namedAggregates,
schema,
inputSchema,
groupings)
}
}