[ 
https://issues.apache.org/jira/browse/FLINK-6232?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16085499#comment-16085499
 ] 

ASF GitHub Bot commented on FLINK-6232:
---------------------------------------

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

    https://github.com/apache/flink/pull/4266#discussion_r127178517
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamWindowJoin.scala
 ---
    @@ -0,0 +1,187 @@
    +/*
    + * 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._
    +import org.apache.calcite.rel.core.{JoinInfo, JoinRelType}
    +import org.apache.calcite.rel.{BiRel, RelNode, RelWriter}
    +import org.apache.calcite.rex.RexNode
    +import org.apache.flink.api.java.functions.NullByteKeySelector
    +import org.apache.flink.streaming.api.datastream.DataStream
    +import org.apache.flink.table.api.{StreamQueryConfig, 
StreamTableEnvironment, TableException}
    +import org.apache.flink.table.plan.nodes.CommonJoin
    +import org.apache.flink.table.plan.schema.RowSchema
    +import org.apache.flink.table.runtime.join.{ProcTimeWindowInnerJoin, 
WindowJoinUtil}
    +import org.apache.flink.table.runtime.types.{CRow, CRowTypeInfo}
    +import org.apache.flink.table.updateutils.UpdateCheckUtils
    +
    +/**
    +  * Flink RelNode which matches along with JoinOperator and its related 
operations.
    +  */
    +class DataStreamWindowJoin(
    +    cluster: RelOptCluster,
    +    traitSet: RelTraitSet,
    +    leftNode: RelNode,
    +    rightNode: RelNode,
    +    joinCondition: RexNode,
    +    joinType: JoinRelType,
    +    leftSchema: RowSchema,
    +    rightSchema: RowSchema,
    +    schema: RowSchema,
    +    isRowTime: Boolean,
    +    leftLowerBound: Long,
    +    leftUpperBound: Long,
    +    remainCondition: Option[RexNode],
    +    ruleDescription: String)
    +  extends BiRel(cluster, traitSet, leftNode, rightNode)
    +    with CommonJoin
    +    with DataStreamRel {
    +
    +  override def deriveRowType() = schema.logicalType
    +
    +  override def copy(traitSet: RelTraitSet, inputs: 
java.util.List[RelNode]): RelNode = {
    +    new DataStreamWindowJoin(
    +      cluster,
    +      traitSet,
    +      inputs.get(0),
    +      inputs.get(1),
    +      joinCondition,
    +      joinType,
    +      leftSchema,
    +      rightSchema,
    +      schema,
    +      isRowTime,
    +      leftLowerBound,
    +      leftUpperBound,
    +      remainCondition,
    +      ruleDescription)
    +  }
    +
    +  override def toString: String = {
    +    joinToString(
    +      schema.logicalType,
    +      joinCondition,
    +      joinType,
    +      getExpressionString)
    +  }
    +
    +  override def explainTerms(pw: RelWriter): RelWriter = {
    +    joinExplainTerms(
    +      super.explainTerms(pw),
    +      schema.logicalType,
    +      joinCondition,
    +      joinType,
    +      getExpressionString)
    +  }
    +
    +  override def translateToPlan(
    +      tableEnv: StreamTableEnvironment,
    +      queryConfig: StreamQueryConfig): DataStream[CRow] = {
    +
    +    val config = tableEnv.getConfig
    +
    +    val isLeftAppendOnly = UpdateCheckUtils.isAppendOnly(left)
    --- End diff --
    
    the ` UpdateCheckUtils.isAppendOnly` recursively checks if any downstream 
operator produces updates. As soon as any downstream operator produces updates, 
the given operator has to be able to handle them. 
    
    Updates can be encodes as retraction or be implicit per key-wise updates if 
the update producing and receiving operators use the same keys. Retraction 
updates are encoded as two messages. Non-retraction updates are encoded as 
single message and require a key to which they relate (`CRow.change == true` -> 
insert or update per key, `CRow.change == false`  -> delete on key). Right now, 
only UpsertTableSinks use non-retraction updates, but other operators such as 
unbounded joins will use it as well.
    
    So even if `AccRetract` is false, the input might produce updates but those 
updates are differently encoded, i.e., in a single message. The window stream 
join is not able to handle updates (it ignores the `CRow.change` flag). 
Therefore, we must ensure that the inputs do not produce updates.


> Support proctime inner equi-join between two streams in the SQL API
> -------------------------------------------------------------------
>
>                 Key: FLINK-6232
>                 URL: https://issues.apache.org/jira/browse/FLINK-6232
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: hongyuhong
>            Assignee: hongyuhong
>
> The goal of this issue is to add support for inner equi-join on proc time 
> streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT o.proctime, o.productId, o.orderId, s.proctime AS shipTime 
> FROM Orders AS o 
> JOIN Shipments AS s 
> ON o.orderId = s.orderId 
> AND o.proctime BETWEEN s.proctime AND s.proctime + INTERVAL '1' HOUR;
> {code}
> The following restrictions should initially apply:
> * The join hint only support inner join
> * The ON clause should include equi-join condition
> * The time-condition {{o.proctime BETWEEN s.proctime AND s.proctime + 
> INTERVAL '1' HOUR}} only can use proctime that is a system attribute, the 
> time condition only support bounded time range like {{o.proctime BETWEEN 
> s.proctime - INTERVAL '1' HOUR AND s.proctime + INTERVAL '1' HOUR}}, not 
> support unbounded like {{o.proctime > s.protime}},  and  should include both 
> two stream's proctime attribute, {{o.proctime between proctime() and 
> proctime() + 1}} should also not be supported.
> This issue includes:
> * Design of the DataStream operator to deal with stream join
> * Translation from Calcite's RelNode representation (LogicalJoin). 



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

Reply via email to