kl0u commented on a change in pull request #13891:
URL: https://github.com/apache/flink/pull/13891#discussion_r516481414



##########
File path: 
flink-tests/src/test/java/org/apache/flink/api/datastream/DataStreamBatchExecutionITCase.java
##########
@@ -0,0 +1,189 @@
+/*
+ * 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.api.datastream;
+
+import org.apache.flink.api.common.RuntimeExecutionMode;
+import org.apache.flink.api.common.functions.RichMapFunction;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.time.Time;
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.operators.MapOperator;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.configuration.ExecutionOptions;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.datastream.DataStreamSource;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.test.util.MiniClusterWithClientResource;
+import org.apache.flink.util.CloseableIterator;
+
+import org.junit.ClassRule;
+import org.junit.Ignore;
+import org.junit.Test;
+
+import java.util.List;
+
+import static org.apache.flink.util.CollectionUtil.iteratorToList;
+import static org.hamcrest.Matchers.contains;
+import static org.hamcrest.Matchers.containsInAnyOrder;
+import static org.junit.Assert.assertThat;
+
+/**
+ * Integration test for {@link RuntimeExecutionMode#BATCH} execution on the 
DataStream API.
+ *
+ * <p>We use a {@link MiniClusterWithClientResource} with a single TaskManager 
with 1 slot to
+ * verify that programs in BATCH execution mode can be executed in stages.
+ */
+public class DataStreamBatchExecutionITCase {
+       private static final int DEFAULT_PARALLELISM = 1;
+
+       @ClassRule
+       public static MiniClusterWithClientResource miniClusterResource = new 
MiniClusterWithClientResource(
+                       new MiniClusterResourceConfiguration.Builder()
+                                       .setNumberTaskManagers(1)
+                                       
.setNumberSlotsPerTaskManager(DEFAULT_PARALLELISM)
+                                       .build());
+
+       /**
+        * We induce a failure in the last mapper. In BATCH execution mode the 
part of the pipeline
+        * before the key-by should not be re-executed. Only the part after 
that will restart. We check
+        * that by suffixing the attempt number to records and asserting the 
correct number.
+        */
+       @Test
+       public void batchFailoverWithKeyByBarrier() throws Exception {
+
+               final StreamExecutionEnvironment env = 
getExecutionEnvironment();
+
+               DataStreamSource<String> source = env.fromElements("foo", 
"bar");
+
+               SingleOutputStreamOperator<String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .keyBy(in -> in)
+                               .map(new SuffixAttemptId("c"))
+                               .map(new OnceFailingMapper("d"));
+
+               try (CloseableIterator<String> result = 
mapped.executeAndCollect()) {
+
+                       // only the operators after the key-by "barrier" are 
restarted and will have the
+                       // "attempt 1" suffix
+                       assertThat(
+                                       iteratorToList(result),
+                                       containsInAnyOrder("foo-a0-b0-c1-d1", 
"bar-a0-b0-c1-d1"));
+               }
+       }
+
+       @Ignore
+       @Test
+       public void stagedExecutionWithDifferentSlotGroups() throws Exception {
+
+               final StreamExecutionEnvironment env = 
getExecutionEnvironment();
+
+               DataStreamSource<String> source = env.fromElements("ciao", 
"ciao");
+
+               SingleOutputStreamOperator<String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .map(new SuffixAttemptId("c"))
+                               .slotSharingGroup("foo")
+                               .map(new SuffixAttemptId("d"))
+                               .slotSharingGroup("bar");
+
+               List<String> result = mapped.executeAndCollect(2);
+
+               // only the operators after the key-by "barrier" are restarted 
and will have the "attempt 1"
+               // suffix
+               assertThat(result, contains("ciao-a0-b0-c0-d0", 
"ciao-a0-b0-c0-d0"));
+       }
+
+       @Test
+       public void dataSetBatchFailoverWithKeyByBarrier() throws Exception {
+
+               final ExecutionEnvironment env = 
ExecutionEnvironment.getExecutionEnvironment();
+               env.setRestartStrategy(RestartStrategies.fixedDelayRestart(10, 
Time.milliseconds(1)));
+
+               DataSet<String> source = env.fromElements("foo", "bar");
+
+               MapOperator<String, String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .groupBy(in -> in)
+                               .first(1)
+                               .map(new SuffixAttemptId("c"))
+                               .map(new OnceFailingMapper("d"));
+
+               List<String> result = mapped.collect();
+
+               // it seems the DataSet API restarts the whole graph here?
+               assertThat(result, containsInAnyOrder("foo-a1-b1-c1-d1", 
"bar-a1-b1-c1-d1"));
+       }

Review comment:
       I am late to the review, but should we leave this test, or not? The 
reason I am asking is because it does not verify anything related to 
`DataStreamBatchExecutionITCase` :)

##########
File path: 
flink-tests/src/test/java/org/apache/flink/api/datastream/DataStreamBatchExecutionITCase.java
##########
@@ -0,0 +1,189 @@
+/*
+ * 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.api.datastream;
+
+import org.apache.flink.api.common.RuntimeExecutionMode;
+import org.apache.flink.api.common.functions.RichMapFunction;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.time.Time;
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.operators.MapOperator;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.configuration.ExecutionOptions;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.datastream.DataStreamSource;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.test.util.MiniClusterWithClientResource;
+import org.apache.flink.util.CloseableIterator;
+
+import org.junit.ClassRule;
+import org.junit.Ignore;
+import org.junit.Test;
+
+import java.util.List;
+
+import static org.apache.flink.util.CollectionUtil.iteratorToList;
+import static org.hamcrest.Matchers.contains;
+import static org.hamcrest.Matchers.containsInAnyOrder;
+import static org.junit.Assert.assertThat;
+
+/**
+ * Integration test for {@link RuntimeExecutionMode#BATCH} execution on the 
DataStream API.
+ *
+ * <p>We use a {@link MiniClusterWithClientResource} with a single TaskManager 
with 1 slot to
+ * verify that programs in BATCH execution mode can be executed in stages.
+ */
+public class DataStreamBatchExecutionITCase {
+       private static final int DEFAULT_PARALLELISM = 1;
+
+       @ClassRule
+       public static MiniClusterWithClientResource miniClusterResource = new 
MiniClusterWithClientResource(
+                       new MiniClusterResourceConfiguration.Builder()
+                                       .setNumberTaskManagers(1)
+                                       
.setNumberSlotsPerTaskManager(DEFAULT_PARALLELISM)
+                                       .build());
+
+       /**
+        * We induce a failure in the last mapper. In BATCH execution mode the 
part of the pipeline
+        * before the key-by should not be re-executed. Only the part after 
that will restart. We check
+        * that by suffixing the attempt number to records and asserting the 
correct number.
+        */
+       @Test
+       public void batchFailoverWithKeyByBarrier() throws Exception {
+
+               final StreamExecutionEnvironment env = 
getExecutionEnvironment();
+
+               DataStreamSource<String> source = env.fromElements("foo", 
"bar");
+
+               SingleOutputStreamOperator<String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .keyBy(in -> in)
+                               .map(new SuffixAttemptId("c"))
+                               .map(new OnceFailingMapper("d"));
+
+               try (CloseableIterator<String> result = 
mapped.executeAndCollect()) {
+
+                       // only the operators after the key-by "barrier" are 
restarted and will have the
+                       // "attempt 1" suffix
+                       assertThat(
+                                       iteratorToList(result),
+                                       containsInAnyOrder("foo-a0-b0-c1-d1", 
"bar-a0-b0-c1-d1"));
+               }
+       }
+
+       @Ignore
+       @Test
+       public void stagedExecutionWithDifferentSlotGroups() throws Exception {
+
+               final StreamExecutionEnvironment env = 
getExecutionEnvironment();
+
+               DataStreamSource<String> source = env.fromElements("ciao", 
"ciao");
+
+               SingleOutputStreamOperator<String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .map(new SuffixAttemptId("c"))
+                               .slotSharingGroup("foo")
+                               .map(new SuffixAttemptId("d"))
+                               .slotSharingGroup("bar");
+
+               List<String> result = mapped.executeAndCollect(2);
+
+               // only the operators after the key-by "barrier" are restarted 
and will have the "attempt 1"
+               // suffix
+               assertThat(result, contains("ciao-a0-b0-c0-d0", 
"ciao-a0-b0-c0-d0"));
+       }
+
+       @Test
+       public void dataSetBatchFailoverWithKeyByBarrier() throws Exception {
+
+               final ExecutionEnvironment env = 
ExecutionEnvironment.getExecutionEnvironment();
+               env.setRestartStrategy(RestartStrategies.fixedDelayRestart(10, 
Time.milliseconds(1)));
+
+               DataSet<String> source = env.fromElements("foo", "bar");
+
+               MapOperator<String, String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .groupBy(in -> in)
+                               .first(1)
+                               .map(new SuffixAttemptId("c"))
+                               .map(new OnceFailingMapper("d"));
+
+               List<String> result = mapped.collect();
+
+               // it seems the DataSet API restarts the whole graph here?
+               assertThat(result, containsInAnyOrder("foo-a1-b1-c1-d1", 
"bar-a1-b1-c1-d1"));
+       }

Review comment:
       I am late to the review, but should we leave this test, or not? The 
reason I am asking is because it does not verify anything related to 
`DataStreamBatchExecutionITCase`, as it only checks the "status quo" in the 
`DataSet` world :)

##########
File path: 
flink-tests/src/test/java/org/apache/flink/api/datastream/DataStreamBatchExecutionITCase.java
##########
@@ -0,0 +1,189 @@
+/*
+ * 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.api.datastream;
+
+import org.apache.flink.api.common.RuntimeExecutionMode;
+import org.apache.flink.api.common.functions.RichMapFunction;
+import org.apache.flink.api.common.restartstrategy.RestartStrategies;
+import org.apache.flink.api.common.time.Time;
+import org.apache.flink.api.java.DataSet;
+import org.apache.flink.api.java.ExecutionEnvironment;
+import org.apache.flink.api.java.operators.MapOperator;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.configuration.ExecutionOptions;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.datastream.DataStreamSource;
+import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.test.util.MiniClusterWithClientResource;
+import org.apache.flink.util.CloseableIterator;
+
+import org.junit.ClassRule;
+import org.junit.Ignore;
+import org.junit.Test;
+
+import java.util.List;
+
+import static org.apache.flink.util.CollectionUtil.iteratorToList;
+import static org.hamcrest.Matchers.contains;
+import static org.hamcrest.Matchers.containsInAnyOrder;
+import static org.junit.Assert.assertThat;
+
+/**
+ * Integration test for {@link RuntimeExecutionMode#BATCH} execution on the 
DataStream API.
+ *
+ * <p>We use a {@link MiniClusterWithClientResource} with a single TaskManager 
with 1 slot to
+ * verify that programs in BATCH execution mode can be executed in stages.
+ */
+public class DataStreamBatchExecutionITCase {
+       private static final int DEFAULT_PARALLELISM = 1;
+
+       @ClassRule
+       public static MiniClusterWithClientResource miniClusterResource = new 
MiniClusterWithClientResource(
+                       new MiniClusterResourceConfiguration.Builder()
+                                       .setNumberTaskManagers(1)
+                                       
.setNumberSlotsPerTaskManager(DEFAULT_PARALLELISM)
+                                       .build());
+
+       /**
+        * We induce a failure in the last mapper. In BATCH execution mode the 
part of the pipeline
+        * before the key-by should not be re-executed. Only the part after 
that will restart. We check
+        * that by suffixing the attempt number to records and asserting the 
correct number.
+        */
+       @Test
+       public void batchFailoverWithKeyByBarrier() throws Exception {
+
+               final StreamExecutionEnvironment env = 
getExecutionEnvironment();
+
+               DataStreamSource<String> source = env.fromElements("foo", 
"bar");
+
+               SingleOutputStreamOperator<String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .keyBy(in -> in)
+                               .map(new SuffixAttemptId("c"))
+                               .map(new OnceFailingMapper("d"));
+
+               try (CloseableIterator<String> result = 
mapped.executeAndCollect()) {
+
+                       // only the operators after the key-by "barrier" are 
restarted and will have the
+                       // "attempt 1" suffix
+                       assertThat(
+                                       iteratorToList(result),
+                                       containsInAnyOrder("foo-a0-b0-c1-d1", 
"bar-a0-b0-c1-d1"));
+               }
+       }
+
+       @Ignore
+       @Test
+       public void stagedExecutionWithDifferentSlotGroups() throws Exception {
+
+               final StreamExecutionEnvironment env = 
getExecutionEnvironment();
+
+               DataStreamSource<String> source = env.fromElements("ciao", 
"ciao");
+
+               SingleOutputStreamOperator<String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .map(new SuffixAttemptId("c"))
+                               .slotSharingGroup("foo")
+                               .map(new SuffixAttemptId("d"))
+                               .slotSharingGroup("bar");
+
+               List<String> result = mapped.executeAndCollect(2);
+
+               // only the operators after the key-by "barrier" are restarted 
and will have the "attempt 1"
+               // suffix
+               assertThat(result, contains("ciao-a0-b0-c0-d0", 
"ciao-a0-b0-c0-d0"));
+       }
+
+       @Test
+       public void dataSetBatchFailoverWithKeyByBarrier() throws Exception {
+
+               final ExecutionEnvironment env = 
ExecutionEnvironment.getExecutionEnvironment();
+               env.setRestartStrategy(RestartStrategies.fixedDelayRestart(10, 
Time.milliseconds(1)));
+
+               DataSet<String> source = env.fromElements("foo", "bar");
+
+               MapOperator<String, String> mapped = source
+                               .map(new SuffixAttemptId("a"))
+                               .map(new SuffixAttemptId("b"))
+                               .groupBy(in -> in)
+                               .first(1)
+                               .map(new SuffixAttemptId("c"))
+                               .map(new OnceFailingMapper("d"));
+
+               List<String> result = mapped.collect();
+
+               // it seems the DataSet API restarts the whole graph here?
+               assertThat(result, containsInAnyOrder("foo-a1-b1-c1-d1", 
"bar-a1-b1-c1-d1"));
+       }

Review comment:
       I see. Thanks for the explanation!




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