je-ik commented on code in PR #39141:
URL: https://github.com/apache/beam/pull/39141#discussion_r3490263768


##########
runners/kafka-streams/src/test/java/org/apache/beam/runners/kafka/streams/translation/GroupByKeyTest.java:
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@@ -0,0 +1,184 @@
+/*
+ * 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.beam.runners.kafka.streams.translation;
+
+import static org.hamcrest.CoreMatchers.hasItems;
+import static org.hamcrest.CoreMatchers.is;
+import static org.hamcrest.MatcherAssert.assertThat;
+
+import java.time.Duration;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+import java.util.Properties;
+import org.apache.beam.model.pipeline.v1.RunnerApi;
+import org.apache.beam.runners.fnexecution.provisioning.JobInfo;
+import org.apache.beam.runners.kafka.streams.KafkaStreamsPipelineOptions;
+import org.apache.beam.sdk.Pipeline;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.coders.StringUtf8Coder;
+import org.apache.beam.sdk.coders.VarIntCoder;
+import org.apache.beam.sdk.options.PipelineOptions;
+import org.apache.beam.sdk.options.PipelineOptionsFactory;
+import org.apache.beam.sdk.options.PortablePipelineOptions;
+import org.apache.beam.sdk.testing.CrashingRunner;
+import org.apache.beam.sdk.transforms.DoFn;
+import org.apache.beam.sdk.transforms.GroupByKey;
+import org.apache.beam.sdk.transforms.Impulse;
+import org.apache.beam.sdk.transforms.ParDo;
+import org.apache.beam.sdk.util.construction.Environments;
+import org.apache.beam.sdk.util.construction.PTransformTranslation;
+import org.apache.beam.sdk.util.construction.PipelineOptionsTranslation;
+import org.apache.beam.sdk.util.construction.PipelineTranslation;
+import org.apache.beam.sdk.values.KV;
+import org.apache.kafka.common.serialization.ByteArrayDeserializer;
+import org.apache.kafka.common.serialization.ByteArraySerializer;
+import org.apache.kafka.common.serialization.Serdes;
+import org.apache.kafka.streams.StreamsConfig;
+import org.apache.kafka.streams.TestInputTopic;
+import org.apache.kafka.streams.TestOutputTopic;
+import org.apache.kafka.streams.Topology;
+import org.apache.kafka.streams.TopologyTestDriver;
+import org.apache.kafka.streams.test.TestRecord;
+import org.junit.Test;
+
+/**
+ * End-to-end test of GroupByKey: {@code Impulse -> emit KVs -> GroupByKey -> 
record groups}.
+ *
+ * <p>GroupByKey shuffles through an internal repartition topic. {@link 
TopologyTestDriver} does not
+ * loop a low-level sink topic back into its source, so the test drives the 
upstream, drains the
+ * repartition topic, and pipes those records back into it — standing in for 
the broker round-trip.
+ * The downstream {@code RecordGroupFn} records each emitted group into a 
{@link
+ * SharedTestCollector}.
+ */
+public class GroupByKeyTest {
+
+  private static final String JOB_ID = "ks-gbk-test";
+  private static final String APPLICATION_ID = "ks-gbk-test";
+
+  /** Emits a few KVs from the single impulse element so there is something to 
group. */
+  private static class EmitKvsFn extends DoFn<byte[], KV<String, Integer>> {
+    @ProcessElement
+    public void processElement(OutputReceiver<KV<String, Integer>> out) {
+      out.output(KV.of("a", 1));
+      out.output(KV.of("a", 2));
+      out.output(KV.of("b", 3));
+    }
+  }
+
+  /** Records each grouped result as {@code "key=[sorted values]"}. */
+  private static class RecordGroupFn extends DoFn<KV<String, 
Iterable<Integer>>, Void> {
+    private final SharedTestCollector<String> collector;
+
+    RecordGroupFn(SharedTestCollector<String> collector) {
+      this.collector = collector;
+    }
+
+    @ProcessElement
+    public void processElement(@Element KV<String, Iterable<Integer>> group) {
+      List<Integer> values = new ArrayList<>();
+      group.getValue().forEach(values::add);
+      Collections.sort(values);
+      collector.record(group.getKey() + "=" + values);
+    }
+  }
+
+  @Test
+  public void groupsValuesByKeyAndFiresAtWatermark() throws Exception {
+    try (SharedTestCollector<String> collector = SharedTestCollector.create()) 
{
+      Pipeline pipeline = Pipeline.create(pipelineOptions());
+      pipeline
+          .apply("impulse", Impulse.create())
+          .apply("emit", ParDo.of(new EmitKvsFn()))

Review Comment:
   Just when looking onto this code - how far are we currently to support 
Create transform?



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