pnowojski 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_r247933734
 
 

 ##########
 File path: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamUpsertToRetraction.scala
 ##########
 @@ -0,0 +1,96 @@
+/*
+ * 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 java.util
+
+import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
+import org.apache.calcite.rel.{RelNode, RelWriter, SingleRel}
+import org.apache.flink.streaming.api.datastream.DataStream
+import org.apache.flink.table.api.{StreamQueryConfig, StreamTableEnvironment, 
TableException}
+import org.apache.flink.table.plan.rules.datastream.DataStreamRetractionRules
+import org.apache.flink.table.plan.schema.RowSchema
+import org.apache.flink.table.runtime.types.{CRow, CRowTypeInfo}
+
+import scala.collection.JavaConversions._
+
+/**
+  * Flink RelNode for ingesting upsert stream from source.
+  */
+class DataStreamUpsertToRetraction(
+   cluster: RelOptCluster,
+   traitSet: RelTraitSet,
+   input: RelNode,
+   inputSchema: RowSchema,
+   schema: RowSchema,
+   val keyNames: Seq[String])
+  extends SingleRel(cluster, traitSet, input)
+  with DataStreamRel{
+
+  lazy val keyIndexes = getRowType.getFieldNames.zipWithIndex
+    .filter(e => keyNames.contains(e._1))
+    .map(_._2).toArray
+
+  override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): 
RelNode = {
+    new DataStreamUpsertToRetraction(
+      cluster,
+      traitSet,
+      inputs.get(0),
+      inputSchema,
+      schema,
+      keyNames)
+  }
+
+  override def explainTerms(pw: RelWriter): RelWriter ={
+    super.explainTerms(pw)
+      .itemIf("keys", keyNames.mkString(", "), keyNames.nonEmpty)
+      .item("select", input.getRowType.getFieldNames.toArray.mkString(", "))
+  }
+
+  override def toString: String = {
+    s"UpsertToRetractionConverter(${
+      if (keyNames.nonEmpty) {
+        s"keys:(${keyNames.mkString(", ")}), "
+      } else {
+        ""
+      }
+    }select:(${input.getRowType.getFieldNames.toArray.mkString(", ")}))"
+  }
+
+  override def producesUpdates: Boolean = true
+
+  override def translateToPlan(
+      tableEnv: StreamTableEnvironment,
+      queryConfig: StreamQueryConfig): DataStream[CRow] = {
+
+    val inputDS =
+      getInput.asInstanceOf[DataStreamRel].translateToPlan(tableEnv, 
queryConfig)
+    val outRowType = CRowTypeInfo(schema.typeInfo)
+
+    val needRetraction = DataStreamRetractionRules.isAccRetract(this)
+
+    if (!needRetraction) {
+      throw new TableException("DataStreamUpsertToRetraction should always 
generate retractions, " +
+        "this should be a bug!")
+    }
+
+    // todo: return inputDS for plan test. The detailed code will be ready in 
the next commit
 
 Review comment:
   `throw new NotImplementedError()`

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