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From: fhueske <git@git.apache.org>
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Subject: [GitHub] flink pull request #3714: [FLINK-6075] - Support Limit/Top(Sort) for Stream ...
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Message-Id: <20170419150220.5DE1EE0885@git1-us-west.apache.org>
Date: Wed, 19 Apr 2017 15:02:20 +0000 (UTC)
archived-at: Wed, 19 Apr 2017 15:02:29 -0000

Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3714#discussion_r112204008
  
    --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamSort.scala ---
    @@ -0,0 +1,169 @@
    +/*
    + * 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.plan.nodes.datastream
    +
    +import org.apache.calcite.plan.{ RelOptCluster, RelTraitSet }
    +import org.apache.calcite.rel.`type`.RelDataType
    +import org.apache.calcite.rel.core.AggregateCall
    +import org.apache.calcite.rel.{ RelNode, RelWriter, SingleRel }
    +import org.apache.flink.api.java.tuple.Tuple
    +import org.apache.flink.streaming.api.datastream.{ AllWindowedStream, DataStream, KeyedStream, WindowedStream }
    +import org.apache.flink.streaming.api.windowing.assigners._
    +import org.apache.flink.streaming.api.windowing.time.Time
    +import org.apache.flink.streaming.api.windowing.windows.{ Window => DataStreamWindow }
    +import org.apache.flink.table.api.StreamTableEnvironment
    +import org.apache.flink.table.calcite.FlinkRelBuilder.NamedWindowProperty
    +import org.apache.flink.table.calcite.FlinkTypeFactory
    +import org.apache.flink.table.expressions._
    +import org.apache.flink.table.plan.logical._
    +import org.apache.flink.table.plan.nodes.CommonAggregate
    +import org.apache.flink.table.plan.nodes.datastream.DataStreamAggregate._
    +import org.apache.flink.table.runtime.aggregate.AggregateUtil._
    +import org.apache.flink.table.runtime.aggregate._
    +import org.apache.flink.table.typeutils.TypeCheckUtils.isTimeInterval
    +import org.apache.flink.table.typeutils.{ RowIntervalTypeInfo, TimeIntervalTypeInfo }
    +import org.apache.flink.types.Row
    +import org.apache.calcite.rel.logical.LogicalSort
    +import org.apache.calcite.sql.SqlAggFunction
    +import org.apache.flink.table.plan.nodes.datastream.DataStreamRel
    +import org.apache.flink.table.api.TableException
    +import org.apache.calcite.sql.fun.SqlSingleValueAggFunction
    +import org.apache.flink.api.common.functions.RichMapFunction
    +import org.apache.flink.api.common.functions.RichFlatMapFunction
    +import org.apache.flink.configuration.Configuration
    +import org.apache.flink.util.Collector
    +import org.apache.flink.api.common.state.ValueState
    +import org.apache.flink.api.common.state.ValueStateDescriptor
    +import org.apache.flink.api.java.typeutils.RowTypeInfo
    +import org.apache.flink.table.functions.ProcTimeType
    +import org.apache.flink.table.functions.RowTimeType
    +import org.apache.calcite.rel.core.Sort
    +import org.apache.flink.api.java.functions.NullByteKeySelector
    +import org.apache.calcite.rel.RelFieldCollation.Direction
    +import org.apache.flink.table.runtime.aggregate.SortUtil._
    +
    +/**
    +  * Flink RelNode which matches along with Sort Rule.
    +  *
    +  */
    +class DataStreamSort(
    +  sort: LogicalSort,
    +  cluster: RelOptCluster,
    +  traitSet: RelTraitSet,
    +  inputNode: RelNode,
    +  rowRelDataType: RelDataType,
    +  inputType: RelDataType,
    +  description: String)
    +    extends SingleRel(cluster, traitSet, inputNode) with DataStreamRel {
    +
    +  override def deriveRowType(): RelDataType = rowRelDataType
    +
    +  override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]): RelNode = {
    +    new DataStreamSort(
    +      sort,
    +      cluster,
    +      traitSet,
    +      inputs.get(0),
    +      rowRelDataType,
    +      inputType,
    +      description + sort.getId())
    +  }
    +
    +  override def toString: String = {
    --- End diff --
    
    Please use the same formatting as `DataSetSort`. 
    I might make sense to refactor common methods into a `CommonSort` class similar as `CommonCalc`.


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