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Posted to issues@flink.apache.org by StephanEwen <gi...@git.apache.org> on 2016/07/14 20:50:35 UTC
[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
GitHub user StephanEwen opened a pull request:
https://github.com/apache/flink/pull/2252
[FLINK-3466] [runtime] Cancel state handled on state restore
This pull request fixes the issue that state restore operations can get stuck when tasks are cancelled during state restore. That happens due to a bug in HDFS, which deadlocks (or livelocks) when the reading thread is interrupted.
This introduces two things:
1. All state handles and key/value snapshots are now `Closable`. This does not delete any checkpoint data, but simply closes pending streams and data fetch handles. Operations concurrently accessing the state handles state should fail.
2. The `StreamTask` holds a set of "Closables" that it closes upon cancellation. This is a cleaner way of stopping in-progress work than relying on "interrupt()" to interrupt that work.
This mechanism should eventually be extended to also cancel operators and state handles pending asynchronous materialization.
There is a test that has an interrupt sensitive state handle (mimicking HDFS's deadlock behavior) that causes a stall without this pull request and cleanly finishes with the changes in this pull request.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/StephanEwen/incubator-flink state_handle_cancellation
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/2252.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2252
----
commit 224503b86c2864f604a7c519ea5f415c57f35ff3
Author: Stephan Ewen <se...@apache.org>
Date: 2016-07-14T13:14:12Z
[FLINK-3466] [tests] Add serialization validation for state handles
commit c411b379381ab1390e2166356232a33165c1abd9
Author: Stephan Ewen <se...@apache.org>
Date: 2016-07-13T19:32:40Z
[FLINK-3466] [runtime] Make state handles cancelable.
State handles are cancelable, to make sure long running checkpoint restore operations do
finish early on cancallation, even if the code does not properly react to interrupts.
This is especially important since HDFS client code is so buggy that it deadlocks when
interrupted without closing.
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[GitHub] flink issue #2252: [FLINK-3466] [runtime] Cancel state handled on state rest...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on the issue:
https://github.com/apache/flink/pull/2252
Thanks, I'll address your comments and merge this...
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70956813
--- Diff: flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/tasks/InterruptSensitiveRestoreTest.java ---
@@ -0,0 +1,223 @@
+/*
+ * 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.runtime.tasks;
+
+import org.apache.flink.api.common.ExecutionConfig;
+import org.apache.flink.api.common.JobID;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.testutils.OneShotLatch;
+import org.apache.flink.runtime.blob.BlobKey;
+import org.apache.flink.runtime.broadcast.BroadcastVariableManager;
+import org.apache.flink.runtime.deployment.InputGateDeploymentDescriptor;
+import org.apache.flink.runtime.deployment.ResultPartitionDeploymentDescriptor;
+import org.apache.flink.runtime.deployment.TaskDeploymentDescriptor;
+import org.apache.flink.runtime.execution.ExecutionState;
+import org.apache.flink.runtime.execution.librarycache.FallbackLibraryCacheManager;
+import org.apache.flink.runtime.executiongraph.ExecutionAttemptID;
+import org.apache.flink.runtime.filecache.FileCache;
+import org.apache.flink.runtime.instance.ActorGateway;
+import org.apache.flink.runtime.io.disk.iomanager.IOManager;
+import org.apache.flink.runtime.io.network.NetworkEnvironment;
+import org.apache.flink.runtime.jobgraph.JobVertexID;
+import org.apache.flink.runtime.memory.MemoryManager;
+import org.apache.flink.runtime.operators.testutils.UnregisteredTaskMetricsGroup;
+import org.apache.flink.runtime.state.StateHandle;
+import org.apache.flink.runtime.taskmanager.Task;
+import org.apache.flink.runtime.taskmanager.TaskManagerRuntimeInfo;
+import org.apache.flink.runtime.util.EnvironmentInformation;
+import org.apache.flink.runtime.util.SerializableObject;
+import org.apache.flink.streaming.api.TimeCharacteristic;
+import org.apache.flink.streaming.api.checkpoint.Checkpointed;
+import org.apache.flink.streaming.api.functions.source.SourceFunction;
+import org.apache.flink.streaming.api.graph.StreamConfig;
+import org.apache.flink.streaming.api.operators.StreamSource;
+import org.apache.flink.util.SerializedValue;
+
+import org.junit.Test;
+
+import scala.concurrent.duration.FiniteDuration;
+
+import java.io.IOException;
+import java.io.Serializable;
+import java.net.URL;
+import java.util.Collections;
+import java.util.concurrent.TimeUnit;
+
+import static org.junit.Assert.*;
+import static org.mockito.Mockito.*;
+
+/**
+ * This test checks that task restores that get stuck in the presence of interrupts
+ * are handled properly.
+ *
+ * In practice, reading from HDFS is interrupt sensitive: The HDFS code frequently deadlocks
+ * or livelocks if it is interrupted.
+ */
+public class InterruptSensitiveRestoreTest {
+
+ private static final OneShotLatch IN_RESTORE_LATCH = new OneShotLatch();
+
+ @Test
+ public void testRestoreWithInterrupt() throws Exception {
+
+ Configuration taskConfig = new Configuration();
+ StreamConfig cfg = new StreamConfig(taskConfig);
+ cfg.setTimeCharacteristic(TimeCharacteristic.ProcessingTime);
+ cfg.setStreamOperator(new StreamSource<>(new TestSource()));
+
+ StateHandle<Serializable> lockingHandle = new InterruptLockingStateHandle();
+ StreamTaskState opState = new StreamTaskState();
+ opState.setFunctionState(lockingHandle);
+ StreamTaskStateList taskState = new StreamTaskStateList(new StreamTaskState[] { opState });
+
+ TaskDeploymentDescriptor tdd = createTaskDeploymentDescriptor(taskConfig, taskState);
+ Task task = createTask(tdd);
+
+ // start the task and wait until it is in "restore"
+ task.startTaskThread();
+ IN_RESTORE_LATCH.await();
+
+ // trigger cancellation and signal to continue
+ task.cancelExecution();
+
+ task.getExecutingThread().join(30000);
--- End diff --
I think it should not be a race. On interruption, the thread's 'interrupt' flag will be set and, upon entering `wait()`, it should immediately throw an `InterruptedException`.
Also, the cancellation sends periodic interrupts.
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by uce <gi...@git.apache.org>.
Github user uce commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70946219
--- Diff: flink-streaming-java/src/test/java/org/apache/flink/streaming/runtime/tasks/InterruptSensitiveRestoreTest.java ---
@@ -0,0 +1,223 @@
+/*
+ * 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.runtime.tasks;
+
+import org.apache.flink.api.common.ExecutionConfig;
+import org.apache.flink.api.common.JobID;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.core.testutils.OneShotLatch;
+import org.apache.flink.runtime.blob.BlobKey;
+import org.apache.flink.runtime.broadcast.BroadcastVariableManager;
+import org.apache.flink.runtime.deployment.InputGateDeploymentDescriptor;
+import org.apache.flink.runtime.deployment.ResultPartitionDeploymentDescriptor;
+import org.apache.flink.runtime.deployment.TaskDeploymentDescriptor;
+import org.apache.flink.runtime.execution.ExecutionState;
+import org.apache.flink.runtime.execution.librarycache.FallbackLibraryCacheManager;
+import org.apache.flink.runtime.executiongraph.ExecutionAttemptID;
+import org.apache.flink.runtime.filecache.FileCache;
+import org.apache.flink.runtime.instance.ActorGateway;
+import org.apache.flink.runtime.io.disk.iomanager.IOManager;
+import org.apache.flink.runtime.io.network.NetworkEnvironment;
+import org.apache.flink.runtime.jobgraph.JobVertexID;
+import org.apache.flink.runtime.memory.MemoryManager;
+import org.apache.flink.runtime.operators.testutils.UnregisteredTaskMetricsGroup;
+import org.apache.flink.runtime.state.StateHandle;
+import org.apache.flink.runtime.taskmanager.Task;
+import org.apache.flink.runtime.taskmanager.TaskManagerRuntimeInfo;
+import org.apache.flink.runtime.util.EnvironmentInformation;
+import org.apache.flink.runtime.util.SerializableObject;
+import org.apache.flink.streaming.api.TimeCharacteristic;
+import org.apache.flink.streaming.api.checkpoint.Checkpointed;
+import org.apache.flink.streaming.api.functions.source.SourceFunction;
+import org.apache.flink.streaming.api.graph.StreamConfig;
+import org.apache.flink.streaming.api.operators.StreamSource;
+import org.apache.flink.util.SerializedValue;
+
+import org.junit.Test;
+
+import scala.concurrent.duration.FiniteDuration;
+
+import java.io.IOException;
+import java.io.Serializable;
+import java.net.URL;
+import java.util.Collections;
+import java.util.concurrent.TimeUnit;
+
+import static org.junit.Assert.*;
+import static org.mockito.Mockito.*;
+
+/**
+ * This test checks that task restores that get stuck in the presence of interrupts
+ * are handled properly.
+ *
+ * In practice, reading from HDFS is interrupt sensitive: The HDFS code frequently deadlocks
+ * or livelocks if it is interrupted.
+ */
+public class InterruptSensitiveRestoreTest {
+
+ private static final OneShotLatch IN_RESTORE_LATCH = new OneShotLatch();
+
+ @Test
+ public void testRestoreWithInterrupt() throws Exception {
+
+ Configuration taskConfig = new Configuration();
+ StreamConfig cfg = new StreamConfig(taskConfig);
+ cfg.setTimeCharacteristic(TimeCharacteristic.ProcessingTime);
+ cfg.setStreamOperator(new StreamSource<>(new TestSource()));
+
+ StateHandle<Serializable> lockingHandle = new InterruptLockingStateHandle();
+ StreamTaskState opState = new StreamTaskState();
+ opState.setFunctionState(lockingHandle);
+ StreamTaskStateList taskState = new StreamTaskStateList(new StreamTaskState[] { opState });
+
+ TaskDeploymentDescriptor tdd = createTaskDeploymentDescriptor(taskConfig, taskState);
+ Task task = createTask(tdd);
+
+ // start the task and wait until it is in "restore"
+ task.startTaskThread();
+ IN_RESTORE_LATCH.await();
+
+ // trigger cancellation and signal to continue
+ task.cancelExecution();
+
+ task.getExecutingThread().join(30000);
--- End diff --
I think there is a race in the test: if the task is interrupted before entering the first wait, it will just wait there until the 30 seconds are over and the test will fail.
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70956526
--- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/state/memory/AbstractMemStateSnapshot.java ---
@@ -54,6 +56,8 @@
/** The serialized data of the state key/value pairs */
private final byte[] data;
+
+ private transient boolean closed;
--- End diff --
I think it is not crucial to have a strict barrier here. If the reading thread eventually notices the flag, it is enough. And since volatile accesses are much more expensive, I wanted to avoid that.
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by uce <gi...@git.apache.org>.
Github user uce commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70946878
--- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/state/memory/AbstractMemStateSnapshot.java ---
@@ -54,6 +56,8 @@
/** The serialized data of the state key/value pairs */
private final byte[] data;
+
+ private transient boolean closed;
--- End diff --
Missing `volatile`?
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[GitHub] flink issue #2252: [FLINK-3466] [runtime] Cancel state handled on state rest...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on the issue:
https://github.com/apache/flink/pull/2252
I think it is yes. We worked around it in the meantime...
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[GitHub] flink issue #2252: [FLINK-3466] [runtime] Cancel state handled on state rest...
Posted by uce <gi...@git.apache.org>.
Github user uce commented on the issue:
https://github.com/apache/flink/pull/2252
Looks very good! The test failures seem unrelated:
- ClientTest: https://issues.apache.org/jira/browse/FLINK-4220 (newly created)
- JobManagerHACheckpointRecoveryITCase: https://issues.apache.org/jira/browse/FLINK-3516 (known instability)
- Travis Scala dependency issue
The added tests and refactorings are very readable.
I think this is good to merge mod some minor inline comments.
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen closed the pull request at:
https://github.com/apache/flink/pull/2252
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by uce <gi...@git.apache.org>.
Github user uce commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70944104
--- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/state/filesystem/AbstractFileStateHandle.java ---
@@ -20,18 +20,21 @@
import org.apache.flink.core.fs.FileSystem;
import org.apache.flink.core.fs.Path;
+import org.apache.flink.runtime.state.AbstractCloseableHandle;
+import org.apache.flink.runtime.state.StateObject;
import java.io.IOException;
+import java.io.Serializable;
import static java.util.Objects.requireNonNull;
/**
* Base class for state that is stored in a file.
*/
-public abstract class AbstractFileStateHandle implements java.io.Serializable {
-
+public abstract class AbstractFileStateHandle extends AbstractCloseableHandle implements StateObject, Serializable {
--- End diff --
Makes no difference, but we can remove the `Serializable` here
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[GitHub] flink issue #2252: [FLINK-3466] [runtime] Cancel state handled on state rest...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on the issue:
https://github.com/apache/flink/pull/2252
Manually merged in e9f660d1ff5540c7ef829f2de5bb870b787c18b7
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by uce <gi...@git.apache.org>.
Github user uce commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70943314
--- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/state/AbstractCloseableHandle.java ---
@@ -0,0 +1,131 @@
+/*
+ * 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.runtime.state;
+
+import java.io.Closeable;
+import java.io.IOException;
+import java.io.Serializable;
+import java.util.concurrent.atomic.AtomicIntegerFieldUpdater;
+
+/**
+ * A simple base for closable handles.
+ *
+ * Offers to register a stream (or other closable object) that close calls are delegated to if
+ * the handel is closed or was already closed.
--- End diff --
typo: handel => handle
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70956828
--- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/state/AbstractCloseableHandle.java ---
@@ -0,0 +1,131 @@
+/*
+ * 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.runtime.state;
+
+import java.io.Closeable;
+import java.io.IOException;
+import java.io.Serializable;
+import java.util.concurrent.atomic.AtomicIntegerFieldUpdater;
+
+/**
+ * A simple base for closable handles.
+ *
+ * Offers to register a stream (or other closable object) that close calls are delegated to if
+ * the handel is closed or was already closed.
--- End diff --
Thanks, will fix it.
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[GitHub] flink pull request #2252: [FLINK-3466] [runtime] Cancel state handled on sta...
Posted by StephanEwen <gi...@git.apache.org>.
Github user StephanEwen commented on a diff in the pull request:
https://github.com/apache/flink/pull/2252#discussion_r70956861
--- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/state/filesystem/AbstractFileStateHandle.java ---
@@ -20,18 +20,21 @@
import org.apache.flink.core.fs.FileSystem;
import org.apache.flink.core.fs.Path;
+import org.apache.flink.runtime.state.AbstractCloseableHandle;
+import org.apache.flink.runtime.state.StateObject;
import java.io.IOException;
+import java.io.Serializable;
import static java.util.Objects.requireNonNull;
/**
* Base class for state that is stored in a file.
*/
-public abstract class AbstractFileStateHandle implements java.io.Serializable {
-
+public abstract class AbstractFileStateHandle extends AbstractCloseableHandle implements StateObject, Serializable {
--- End diff --
True, will remove this.
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[GitHub] flink issue #2252: [FLINK-3466] [runtime] Cancel state handled on state rest...
Posted by liuml07 <gi...@git.apache.org>.
Github user liuml07 commented on the issue:
https://github.com/apache/flink/pull/2252
Is this related to https://issues.apache.org/jira/browse/HADOOP-14214? Thanks,
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