hequn8128 commented on a change in pull request #6787: [FLINK-8577][table] 
Implement proctime DataStream to Table upsert conversion
URL: https://github.com/apache/flink/pull/6787#discussion_r249800524
 
 

 ##########
 File path: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/rules/logical/CalcUpsertToRetractionTransposeRule.scala
 ##########
 @@ -0,0 +1,109 @@
+/*
+ * 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.rules.logical
+
+import org.apache.calcite.plan.RelOptRule.{none, operand}
+import org.apache.calcite.plan.{RelOptRule, RelOptRuleCall}
+import org.apache.calcite.rex.{RexCall, RexInputRef}
+import org.apache.calcite.sql.SqlKind
+import org.apache.flink.table.plan.nodes.logical.{FlinkLogicalCalc, 
FlinkLogicalUpsertToRetraction}
+
+import scala.collection.JavaConversions._
+
+/**
+  * Use this rule to transpose Calc through UpsertToRetraction relnode. It is 
beneficial if we get
+  * smaller state size in upsertToRetraction.
+  */
+class CalcUpsertToRetractionTransposeRule extends RelOptRule(
+  operand(classOf[FlinkLogicalCalc],
+    operand(classOf[FlinkLogicalUpsertToRetraction], none)),
+  "CalcUpsertToRetractionTransposeRule") {
+
+  override def matches(call: RelOptRuleCall): Boolean = {
+    val calc = call.rel(0).asInstanceOf[FlinkLogicalCalc]
+    val upsertToRetraction = 
call.rel(1).asInstanceOf[FlinkLogicalUpsertToRetraction]
+
+    // column pruning or push Filter down
+    calc.getRowType.getFieldCount <= 
upsertToRetraction.getRowType.getFieldCount &&
+    // key fields should not be changed
+      fieldsRemainAfterCalc(upsertToRetraction.keyNames, calc)
+  }
+
+  override def onMatch(call: RelOptRuleCall) {
+    val calc = call.rel(0).asInstanceOf[FlinkLogicalCalc]
+    val upsertToRetraction = 
call.rel(1).asInstanceOf[FlinkLogicalUpsertToRetraction]
+
+    // get new calc
+    val newCalc = calc.copy(calc.getTraitSet, upsertToRetraction.getInput, 
calc.getProgram)
+    // get new upsertToRetraction
+    val oldKeyNames = upsertToRetraction.keyNames
+    val newKeyNames = getNamesAfterCalc(oldKeyNames, calc)
+
+    val newUpsertToRetraction = new FlinkLogicalUpsertToRetraction(
+      upsertToRetraction.getCluster,
+      upsertToRetraction.getTraitSet,
+      newCalc,
+      newKeyNames)
+
+    call.transformTo(newUpsertToRetraction)
+  }
+
+  private def fieldsRemainAfterCalc(fields: Seq[String], calc: 
FlinkLogicalCalc): Boolean = {
+    // get input output names
+    val inOutNames = getInOutNames(calc)
+    // contains all fields
+    inOutNames.map(_._1).containsAll(fields)
+  }
+
+  /**
+    * Get related output field names for input field names for Calc.
+    */
+  private def getInOutNames(calc: FlinkLogicalCalc): Seq[(String, String)] = {
 
 Review comment:
   The reason I use `getInputFromOutputName` is the return type can be an 
`Option[String]`, because any two output names will surely not be the same. If 
we use `mapInputToOutputName` then we need return a Option[Seq[String]]. Both 
methods can solve the problem. Only we have to do is to define the method 
clearly.  

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org


With regards,
Apache Git Services

Reply via email to