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From fhueske <...@git.apache.org>
Subject [GitHub] flink pull request #3715: [FLINK-6232][Table&SQL]Support proctime inner equi...
Date Wed, 10 May 2017 23:25:12 GMT
Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3715#discussion_r115864221
  
    --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamJoin.scala
---
    @@ -0,0 +1,180 @@
    +/*
    + * 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.JoinRelType
    +import org.apache.calcite.rel.{BiRel, RelNode, RelWriter}
    +import org.apache.flink.api.common.functions.RichFilterFunction
    +import org.apache.flink.api.java.functions.NullByteKeySelector
    +import org.apache.flink.streaming.api.datastream.DataStream
    +import org.apache.flink.table.api.{StreamTableEnvironment, TableException}
    +import org.apache.flink.table.calcite.FlinkTypeFactory
    +import org.apache.flink.table.plan.nodes.CommonJoin
    +import org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoin
    +import org.apache.flink.table.plan.schema.RowSchema
    +import org.apache.flink.table.runtime.join.{JoinUtil, ProcTimeInnerJoin}
    +import org.apache.flink.table.runtime.types.{CRow, CRowTypeInfo}
    +import org.apache.flink.types.Row
    +
    +/**
    +  * Flink RelNode which matches along with JoinOperator and its related operations.
    +  */
    +class DataStreamJoin(
    +   cluster: RelOptCluster,
    +   traitSet: RelTraitSet,
    +   leftNode: RelNode,
    +   rightNode: RelNode,
    +   joinNode: FlinkLogicalJoin,
    +   leftSchema: RowSchema,
    +   schema: RowSchema,
    +   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 DataStreamJoin(
    +      cluster,
    +      traitSet,
    +      inputs.get(0),
    +      inputs.get(1),
    +      joinNode,
    +      leftSchema,
    +      schema,
    +      ruleDescription)
    +  }
    +
    +  override def toString: String = {
    +
    +    s"${joinTypeToString(joinNode.getJoinType)}" +
    +      s"(condition: (${joinConditionToString(schema.logicalType,
    +        joinNode.getCondition, getExpressionString)}), " +
    +      s"select: (${joinSelectionToString(schema.logicalType)}))"
    +  }
    +
    +  override def explainTerms(pw: RelWriter): RelWriter = {
    +    super.explainTerms(pw)
    +      .item("condition", joinConditionToString(schema.logicalType,
    +        joinNode.getCondition, getExpressionString))
    +      .item("select", joinSelectionToString(schema.logicalType))
    +      .item("joinType", joinTypeToString(joinNode.getJoinType))
    +  }
    +
    +  override def translateToPlan(tableEnv: StreamTableEnvironment): DataStream[CRow] =
{
    +
    +    val config = tableEnv.getConfig
    +
    +    // get the equality keys and other condition
    +    val (leftKeys, rightKeys, otherCondition) =
    +      JoinUtil.analyzeJoinCondition(joinNode, getExpressionString)
    +
    +    if (left.isInstanceOf[StreamTableSourceScan]
    +        || right.isInstanceOf[StreamTableSourceScan]) {
    +      throw new TableException(
    +        "Join between stream and table is not supported yet.")
    +    }
    +    // analyze time boundary and time predicate type(proctime/rowtime)
    +    val (timeType, leftStreamWindowSize, rightStreamWindowSize, conditionWithoutTime)
=
    +      JoinUtil.analyzeTimeBoundary(
    +        otherCondition,
    +        leftSchema.logicalType.getFieldCount,
    +        leftSchema.physicalType.getFieldCount,
    +        schema.logicalType,
    +        joinNode.getCluster.getRexBuilder,
    +        config)
    +
    +    val leftDataStream = left.asInstanceOf[DataStreamRel].translateToPlan(tableEnv)
    +    val rightDataStream = right.asInstanceOf[DataStreamRel].translateToPlan(tableEnv)
    +
    +    // generate other condition filter function
    +    val filterFunction =
    --- End diff --
    
    I think we do not wrap the generated code in a wrapping `FilterFunction`. Instead we can
pass it directly to the `CoProcessFunction` and compile it there in the `open()` method.


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