rkhachatryan commented on a change in pull request #11515: [FLINK-16744][task] 
implement channel state persistence for unaligned checkpoints
URL: https://github.com/apache/flink/pull/11515#discussion_r402266636
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/checkpoint/channel/ChannelStateWriterImpl.java
 ##########
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+/*
+ * 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.checkpoint.channel;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.runtime.checkpoint.CheckpointOptions;
+import org.apache.flink.runtime.io.network.buffer.Buffer;
+import org.apache.flink.runtime.state.CheckpointStorageWorkerView;
+import org.apache.flink.runtime.state.CheckpointStreamFactory;
+import org.apache.flink.util.Preconditions;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import javax.annotation.concurrent.ThreadSafe;
+
+import java.util.Map;
+import java.util.concurrent.ArrayBlockingQueue;
+import java.util.concurrent.BlockingQueue;
+import java.util.concurrent.ConcurrentHashMap;
+
+import static 
org.apache.flink.runtime.checkpoint.channel.ChannelStateWriteRequest.completeInput;
+import static 
org.apache.flink.runtime.checkpoint.channel.ChannelStateWriteRequest.completeOutput;
+import static 
org.apache.flink.runtime.checkpoint.channel.ChannelStateWriteRequest.write;
+
+/**
+ * {@link ChannelStateWriter} implemented using
+ * {@link CheckpointStreamFactory.CheckpointStateOutputStream 
CheckpointStateOutputStreams}. Internally, it has
+ * <ul>
+ * <li>one stream per checkpoint; having multiple streams would mean more 
files written and more connections opened
+ * (and more latency on restore)</li>
+ * <li>one thread; having multiple threads means more connections, couples 
with the implementation and increases complexity</li>
+ * </ul>
+ */
+@Internal
+@ThreadSafe
+public class ChannelStateWriterImpl implements ChannelStateWriter {
+
+       private static final Logger LOG = 
LoggerFactory.getLogger(ChannelStateWriterImpl.class);
+       private static final int DEFAULT_HANDOVER_CAPACITY = 10;
+       private static final int DEFAULT_MAX_CHECKPOINTS = 5; // currently, 
only single in-flight checkpoint is supported
+
+       private class ProcessRequestsLoop implements Runnable {
+               private final ChannelStateWriteRequestProcessor 
requestProcessor;
+
+               private ProcessRequestsLoop(int maxCheckpoints, 
CheckpointStorageWorkerView streamFactoryFactory, ChannelStateSerializer 
serializer) {
+                       this.requestProcessor = new 
ChannelStateWriteRequestProcessor(maxCheckpoints, streamFactoryFactory, 
serializer);
+               }
+
+               @Override
+               public void run() {
+                       try {
+                               loop();
+                       } catch (Exception ex) {
+                               thrown = ex;
+                       } finally {
+                               handover.clear();
+                               requestProcessor.cleanup(thrown != null ? 
thrown : new RuntimeException("loop terminated, isRunning: " + isRunning));
+                       }
+                       LOG.debug("loop terminated");
+               }
+
+               private void loop() throws Exception {
+                       while (isRunning || !handover.isEmpty()) {
+                               try {
+                                       
requestProcessor.processRequest(handover.take());
+                               } catch (InterruptedException e) {
+                                       if (isRunning || !handover.isEmpty()) {
+                                               LOG.info("interrupted while 
waiting for an item (continue waiting)", e);
+                                       } else {
+                                               
Thread.currentThread().interrupt();
+                                               return;
+                                       }
+                               }
+                       }
+               }
+       }
+
+       private final Thread asyncWriter;
+       private final BlockingQueue<ChannelStateWriteRequest> handover;
 
 Review comment:
   Interesting question. The usual arguments for bounded queues like protecting 
against memory exhaustion don't work that well here. The reasons are that the 
queue essentially holds references to larger memory regions and atm we can only 
have a single in-flight checkpoint.
   However,
   1. we may have multiple references to the same region (when we remove the 
single-checkpoint limit and don't have incremental checkpointing yet or it 
doesn't help here)
   1. these are different memory regions (heap and likely non-heap)
   
   With an unbounded queue, the task could run out of memory and it would be 
much harder to figure it out. 
   So I'd stick with bounded queue but lift its default size.
   
   WDYT?

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