[GitHub] [flink] dawidwys commented on a change in pull request #13556: [FLINK-19485] Decouple runtime operator implementation from DataStream operations

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dawidwys commented on a change in pull request #13556:
URL: https://github.com/apache/flink/pull/13556#discussion_r501796258



##########
File path: flink-streaming-java/src/main/java/org/apache/flink/streaming/api/graph/BaseSimpleTransformationTranslator.java
##########
@@ -0,0 +1,118 @@
+/*
+ * 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.streaming.api.graph;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.api.dag.Transformation;
+import org.apache.flink.streaming.api.transformations.PhysicalTransformation;
+
+import java.util.Collection;
+
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+/**
+ * A base class for all {@link StreamGraphTranslator StreamGraphTranslators} who translate
+ * {@link Transformation Transformations} that have a single operator in their runtime implementation.
+ * These include most of the currently supported operations.
+ *
+ * @param <OUT> The type of the output elements of the transformation being translated.
+ * @param <T> The type of transformation being translated.
+ */
+@Internal
+public abstract class BaseSimpleTransformationTranslator<OUT, T extends Transformation<OUT>>
+		implements StreamGraphTranslator<OUT, T> {
+
+	@Override
+	public Collection<Integer> translateForBatch(final T transformation, final Context context) {
+		checkNotNull(transformation);
+		checkNotNull(context);
+
+		final Collection<Integer> transformedIds =
+				translateForBatchInternal(transformation, context);
+		configure(transformation, context);
+		return transformedIds;
+	}
+
+	@Override
+	public Collection<Integer> translateForStreaming(final T transformation, final Context context) {
+		checkNotNull(transformation);
+		checkNotNull(context);
+
+		final Collection<Integer> transformedIds =
+				translateForStreamingInternal(transformation, context);
+		configure(transformation, context);
+		return transformedIds;
+	}
+
+	/**
+	 * Translates a given {@link Transformation} to its runtime implementation for
+	 * {@link org.apache.flink.streaming.api.RuntimeExecutionMode#BATCH BATCH-style} execution.
+	 *
+	 * @param transformation The transformation to be translated.
+	 * @param context The translation context.
+	 * @return The ids of the nodes corresponding to this transformation in the transformation graph.
+	 */
+	protected abstract Collection<Integer> translateForBatchInternal(final T transformation, final Context context);
+
+	/**
+	 * Translates a given {@link Transformation} to its runtime implementation for
+	 * {@link org.apache.flink.streaming.api.RuntimeExecutionMode#STREAMING STREAMING-style} execution.
+	 *
+	 * @param transformation The transformation to be translated.
+	 * @param context The translation context.
+	 * @return The ids of the nodes corresponding to this transformation in the transformation graph.
+	 */
+	protected abstract Collection<Integer> translateForStreamingInternal(final T transformation, final Context context);
+
+	private void configure(final T transformation, final Context context) {
+		final StreamGraph streamGraph = context.getStreamGraph();
+		final int transformationId = transformation.getId();
+
+		if (transformation.getBufferTimeout() >= 0) {
+			streamGraph.setBufferTimeout(transformationId, transformation.getBufferTimeout());
+		} else {
+			streamGraph.setBufferTimeout(transformationId, context.getDefaultBufferTimeout());
+		}
+
+		if (transformation.getUid() != null) {
+			streamGraph.setTransformationUID(transformationId, transformation.getUid());
+		}
+		if (transformation.getUserProvidedNodeHash() != null) {
+			streamGraph.setTransformationUserHash(transformationId, transformation.getUserProvidedNodeHash());
+		}
+
+		if (!streamGraph.getExecutionConfig().hasAutoGeneratedUIDsEnabled()) {
+			if (transformation instanceof PhysicalTransformation
+					&& transformation.getUserProvidedNodeHash() == null
+					&& transformation.getUid() == null) {
+				throw new IllegalStateException("Auto generated UIDs have been disabled " +
+						"but no UID or hash has been assigned to operator " + transformation.getName());
+			}
+		}
+
+		if (transformation.getMinResources() != null && transformation.getPreferredResources() != null) {
+			streamGraph.setResources(transformationId, transformation.getMinResources(), transformation.getPreferredResources());
+		}
+
+		streamGraph.setManagedMemoryUseCaseWeights(

Review comment:
       Just a quick comment here. I think we might need to set different weights/use cases depending on the runtime mode. E.g. in the BATCH runtime we will declare `ManagedMemoryUseCase.BATCH_OP`, whereas for streaming `ManagedMemoryUseCase.ROCKS_DB`.
   
   I am still not entirely sure, how this should all play together, but thats a concern that I have.




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