Victsm commented on a change in pull request #30062:
URL: https://github.com/apache/spark/pull/30062#discussion_r513819945



##########
File path: 
common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/RemoteBlockPushResolver.java
##########
@@ -0,0 +1,883 @@
+/*
+ * 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.spark.network.shuffle;
+
+import java.io.BufferedOutputStream;
+import java.io.DataOutputStream;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.nio.channels.FileChannel;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.Arrays;
+import java.util.Iterator;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.ConcurrentMap;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.Executor;
+import java.util.concurrent.Executors;
+
+import com.google.common.annotations.VisibleForTesting;
+import com.google.common.base.Objects;
+import com.google.common.base.Preconditions;
+import com.google.common.cache.CacheBuilder;
+import com.google.common.cache.CacheLoader;
+import com.google.common.cache.LoadingCache;
+import com.google.common.cache.Weigher;
+import com.google.common.collect.Maps;
+import com.google.common.primitives.Ints;
+import com.google.common.primitives.Longs;
+import io.netty.buffer.ByteBuf;
+import io.netty.buffer.Unpooled;
+import org.roaringbitmap.RoaringBitmap;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.apache.spark.network.buffer.FileSegmentManagedBuffer;
+import org.apache.spark.network.buffer.ManagedBuffer;
+import org.apache.spark.network.client.StreamCallbackWithID;
+import org.apache.spark.network.protocol.Encoders;
+import org.apache.spark.network.shuffle.protocol.ExecutorShuffleInfo;
+import org.apache.spark.network.shuffle.protocol.FinalizeShuffleMerge;
+import org.apache.spark.network.shuffle.protocol.MergeStatuses;
+import org.apache.spark.network.shuffle.protocol.PushBlockStream;
+import org.apache.spark.network.util.JavaUtils;
+import org.apache.spark.network.util.NettyUtils;
+import org.apache.spark.network.util.TransportConf;
+
+/**
+ * An implementation of {@link MergedShuffleFileManager} that provides the 
most essential shuffle
+ * service processing logic to support push based shuffle.
+ */
+public class RemoteBlockPushResolver implements MergedShuffleFileManager {
+
+  private static final Logger logger = 
LoggerFactory.getLogger(RemoteBlockPushResolver.class);
+  @VisibleForTesting
+  static final String MERGE_MANAGER_DIR = "merge_manager";
+
+  private final ConcurrentMap<String, AppPathsInfo> appsPathInfo;
+  private final ConcurrentMap<AppShuffleId, Map<Integer, 
AppShufflePartitionInfo>> partitions;
+
+  private final Executor directoryCleaner;
+  private final TransportConf conf;
+  private final int minChunkSize;
+  private final ErrorHandler.BlockPushErrorHandler errorHandler;
+
+  @SuppressWarnings("UnstableApiUsage")
+  private final LoadingCache<File, ShuffleIndexInformation> indexCache;
+
+  @SuppressWarnings("UnstableApiUsage")
+  public RemoteBlockPushResolver(TransportConf conf) {
+    this.conf = conf;
+    this.partitions = Maps.newConcurrentMap();
+    this.appsPathInfo = Maps.newConcurrentMap();
+    this.directoryCleaner = Executors.newSingleThreadExecutor(
+      // Add `spark` prefix because it will run in NM in Yarn mode.
+      
NettyUtils.createThreadFactory("spark-shuffle-merged-shuffle-directory-cleaner"));
+    this.minChunkSize = conf.minChunkSizeInMergedShuffleFile();
+    CacheLoader<File, ShuffleIndexInformation> indexCacheLoader =
+      new CacheLoader<File, ShuffleIndexInformation>() {
+        public ShuffleIndexInformation load(File file) throws IOException {
+          return new ShuffleIndexInformation(file);
+        }
+      };
+    indexCache = CacheBuilder.newBuilder()
+      .maximumWeight(conf.mergedIndexCacheSize())
+      .weigher((Weigher<File, ShuffleIndexInformation>) (file, indexInfo) -> 
indexInfo.getSize())
+      .build(indexCacheLoader);
+    this.errorHandler = new ErrorHandler.BlockPushErrorHandler();
+  }
+
+  /**
+   * Given the appShuffleId and reduceId that uniquely identifies a given 
shuffle partition of an
+   * application, retrieves the associated metadata. If not present and the 
corresponding merged
+   * shuffle does not exist, initializes the metadata.
+   */
+  private AppShufflePartitionInfo getOrCreateAppShufflePartitionInfo(
+      AppShuffleId appShuffleId,
+      int reduceId) {
+    Map<Integer, AppShufflePartitionInfo> shufflePartitions =
+      partitions.computeIfAbsent(appShuffleId, id -> Maps.newConcurrentMap());

Review comment:
       Another effect of breaking the map into a 2-level map.
   After we delete the first level map from `partitions` during merge 
finalization, if there is another block received for the same shuffle, we would 
then repopulate the first level map with an empty map, even though we have 
already finalized this shuffle.
   It's possible that we would keep these empty maps in the partitions map 
until the application finishes.
   
   I feel that breaking the previous 1-level map into a 2-level map has quite 
some side effects.
   If what we want is to speedup the iteration during shuffle finalization, 
would keep a separate map for (appId, shuffleId) -> reduceId also address the 
need?
   This way, we do not break the `partitions` map into a 2-level map which lead 
to these side effects.




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