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ASF GitHub Bot commented on FLINK-8360: --------------------------------------- Github user StefanRRichter commented on a diff in the pull request: https://github.com/apache/flink/pull/5239#discussion_r162585043 --- Diff: flink-streaming-java/src/test/java/org/apache/flink/streaming/api/operators/StreamTaskStateManagerImplTest.java --- @@ -0,0 +1,323 @@ +/* + * 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.operators; + +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.IntSerializer; +import org.apache.flink.core.fs.CloseableRegistry; +import org.apache.flink.runtime.checkpoint.JobManagerTaskRestore; +import org.apache.flink.runtime.checkpoint.OperatorSubtaskState; +import org.apache.flink.runtime.checkpoint.TaskStateSnapshot; +import org.apache.flink.runtime.checkpoint.savepoint.CheckpointTestUtils; +import org.apache.flink.runtime.execution.Environment; +import org.apache.flink.runtime.executiongraph.ExecutionAttemptID; +import org.apache.flink.runtime.jobgraph.OperatorID; +import org.apache.flink.runtime.operators.testutils.DummyEnvironment; +import org.apache.flink.runtime.query.TaskKvStateRegistry; +import org.apache.flink.runtime.state.AbstractKeyedStateBackend; +import org.apache.flink.runtime.state.CheckpointStreamFactory; +import org.apache.flink.runtime.state.KeyGroupRange; +import org.apache.flink.runtime.state.KeyGroupStatePartitionStreamProvider; +import org.apache.flink.runtime.state.OperatorStateBackend; +import org.apache.flink.runtime.state.OperatorStateHandle; +import org.apache.flink.runtime.state.StateBackend; +import org.apache.flink.runtime.state.StatePartitionStreamProvider; +import org.apache.flink.runtime.state.TaskStateManager; +import org.apache.flink.runtime.state.TaskStateManagerImplTest; +import org.apache.flink.runtime.state.memory.MemoryStateBackend; +import org.apache.flink.runtime.taskmanager.TestCheckpointResponder; +import org.apache.flink.streaming.runtime.tasks.ProcessingTimeService; +import org.apache.flink.streaming.runtime.tasks.TestProcessingTimeService; +import org.apache.flink.util.CloseableIterable; + +import org.junit.Assert; +import org.junit.Test; + +import javax.annotation.Nullable; + +import java.io.Closeable; +import java.io.IOException; +import java.util.Collections; +import java.util.Random; + +import static org.mockito.Matchers.any; +import static org.mockito.Matchers.anyInt; +import static org.mockito.Matchers.eq; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.spy; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; + +/** + * Test for {@link StreamTaskStateManagerImpl}. + */ +public class StreamTaskStateManagerImplTest { + + @Test + public void testNoRestore() throws Exception { + + MemoryStateBackend stateBackend = spy(new MemoryStateBackend(1024)); + + // No job manager provided state to restore + StreamTaskStateManager streamTaskStateManager = streamTaskStateManager(stateBackend, null, true); + + OperatorID operatorID = new OperatorID(47L, 11L); + AbstractStreamOperator<?> streamOperator = mock(AbstractStreamOperator.class); + when(streamOperator.getOperatorID()).thenReturn(operatorID); + + TypeSerializer<?> typeSerializer = new IntSerializer(); + CloseableRegistry closeableRegistry = new CloseableRegistry(); + + StreamOperatorStateContext stateContext = streamTaskStateManager.streamOperatorStateContext( + streamOperator, + typeSerializer, + closeableRegistry); + + verify(stateBackend).createKeyedStateBackend( + any(Environment.class), + any(JobID.class), + any(String.class), + eq(typeSerializer), + anyInt(), + any(KeyGroupRange.class), + any(TaskKvStateRegistry.class)); + + verify(stateBackend).createOperatorStateBackend( + any(Environment.class), + any(String.class)); + + verify(stateBackend).createStreamFactory( + any(JobID.class), + any(String.class)); + + OperatorStateBackend operatorStateBackend = stateContext.operatorStateBackend(); + AbstractKeyedStateBackend<?> keyedStateBackend = stateContext.keyedStateBackend(); + InternalTimeServiceManager<?, ?> timeServiceManager = stateContext.internalTimerServiceManager(); + CheckpointStreamFactory streamFactory = stateContext.checkpointStreamFactory(); + CloseableIterable<KeyGroupStatePartitionStreamProvider> keyedStateInputs = stateContext.rawKeyedStateInputs(); + CloseableIterable<StatePartitionStreamProvider> operatorStateInputs = stateContext.rawOperatorStateInputs(); + + Assert.assertEquals(false, stateContext.isRestored()); + Assert.assertNotNull(operatorStateBackend); --- End diff -- This check is sufficient for this test. > Implement task-local state recovery > ----------------------------------- > > Key: FLINK-8360 > URL: https://issues.apache.org/jira/browse/FLINK-8360 > Project: Flink > Issue Type: New Feature > Components: State Backends, Checkpointing > Reporter: Stefan Richter > Assignee: Stefan Richter > Priority: Major > Fix For: 1.5.0 > > > This issue tracks the development of recovery from task-local state. The main > idea is to have a secondary, local copy of the checkpointed state, while > there is still a primary copy in DFS that we report to the checkpoint > coordinator. > Recovery can attempt to restore from the secondary local copy, if available, > to save network bandwidth. This requires that the assignment from tasks to > slots is as sticky is possible. > For starters, we will implement this feature for all managed keyed states and > can easily enhance it to all other state types (e.g. operator state) later. -- This message was sent by Atlassian JIRA (v7.6.3#76005)