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Date: Thu, 30 Mar 2017 08:00:52 +0000 (UTC)
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Subject: [jira] [Commented] (FLINK-5654) Add processing time OVER RANGE
 BETWEEN x PRECEDING aggregation to SQL
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archived-at: Thu, 30 Mar 2017 08:00:57 -0000


    [ https://issues.apache.org/jira/browse/FLINK-5654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15948599#comment-15948599 ] 

ASF GitHub Bot commented on FLINK-5654:
---------------------------------------

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

    https://github.com/apache/flink/pull/3641#discussion_r108862890
  
    --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/ProcTimeBoundedProcessingOverProcessFunction.scala ---
    @@ -0,0 +1,166 @@
    +/*
    + * 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.runtime.aggregate
    +
    +import org.apache.flink.api.common.state.{ ListState, ListStateDescriptor }
    +import org.apache.flink.api.java.typeutils.RowTypeInfo
    +import org.apache.flink.configuration.Configuration
    +import org.apache.flink.runtime.state.{ FunctionInitializationContext, FunctionSnapshotContext }
    +import org.apache.flink.streaming.api.functions.ProcessFunction
    +import org.apache.flink.table.functions.{ Accumulator, AggregateFunction }
    +import org.apache.flink.types.Row
    +import org.apache.flink.util.{ Collector, Preconditions }
    +import org.apache.flink.api.common.state.ValueState
    +import org.apache.flink.api.common.state.ValueStateDescriptor
    +import scala.util.control.Breaks._
    +import org.apache.flink.api.java.tuple.{ Tuple2 => JTuple2 }
    +import org.apache.flink.api.common.state.MapState
    +import org.apache.flink.api.common.state.MapStateDescriptor
    +import org.apache.flink.api.common.typeinfo.TypeInformation
    +import org.apache.flink.api.java.typeutils.ListTypeInfo
    +import java.util.{ ArrayList, LinkedList, List => JList }
    +import org.apache.flink.api.common.typeinfo.BasicTypeInfo
    +
    +/**
    + * Process Function used for the aggregate in bounded proc-time OVER window
    + * [[org.apache.flink.streaming.api.datastream.DataStream]]
    + *
    + * @param aggregates the list of all [[org.apache.flink.table.functions.AggregateFunction]]
    + *                   used for this aggregation
    + * @param aggFields  the position (in the input Row) of the input value for each aggregate
    + * @param forwardedFieldCount Is used to indicate fields in the current element to forward
    + * @param rowTypeInfo Is used to indicate the field schema
    + * @param timeBoundary Is used to indicate the processing time boundaries
    + * @param inputType It is used to mark the Row type of the input
    + */
    +class ProcTimeBoundedProcessingOverProcessFunction(
    +  private val aggregates: Array[AggregateFunction[_]],
    +  private val aggFields: Array[Int],
    +  private val forwardedFieldCount: Int,
    +  private val rowTypeInfo: RowTypeInfo,
    +  private val timeBoundary: Long,
    +  private val inputType: TypeInformation[Row])
    +    extends ProcessFunction[Row, Row] {
    +
    +  Preconditions.checkNotNull(aggregates)
    +  Preconditions.checkNotNull(aggFields)
    +  Preconditions.checkArgument(aggregates.length == aggFields.length)
    +
    +  private var output: Row = _
    +  private var accumulatorState: ValueState[Row] = _
    +  private var rowMapState: MapState[Long, JList[Row]] = _
    +
    +  override def open(config: Configuration) {
    +    output = new Row(forwardedFieldCount + aggregates.length)
    +
    +    // We keep the elements received in a list state 
    --- End diff --
    
    ok


> Add processing time OVER RANGE BETWEEN x PRECEDING aggregation to SQL
> ---------------------------------------------------------------------
>
>                 Key: FLINK-5654
>                 URL: https://issues.apache.org/jira/browse/FLINK-5654
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: Fabian Hueske
>            Assignee: radu
>
> The goal of this issue is to add support for OVER RANGE aggregations on processing time streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT 
>   a, 
>   SUM(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN INTERVAL '1' HOUR PRECEDING AND CURRENT ROW) AS sumB,
>   MIN(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN INTERVAL '1' HOUR PRECEDING AND CURRENT ROW) AS minB
> FROM myStream
> {code}
> The following restrictions should initially apply:
> - All OVER clauses in the same SELECT clause must be exactly the same.
> - The PARTITION BY clause is optional (no partitioning results in single threaded execution).
> - The ORDER BY clause may only have procTime() as parameter. procTime() is a parameterless scalar function that just indicates processing time mode.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5657)
> - FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some of the restrictions are trivial to address, we can add the functionality in this issue as well.
> This issue includes:
> - Design of the DataStream operator to compute OVER ROW aggregates
> - Translation from Calcite's RelNode representation (LogicalProject with RexOver expression).


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