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https://issues.apache.org/jira/browse/FLINK-10461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16667359#comment-16667359
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ASF GitHub Bot commented on FLINK-10461:
----------------------------------------

azagrebin commented on a change in pull request #6777: [FLINK-10461] [State 
Backends, Checkpointing] Speed up download files when restore from DFS
URL: https://github.com/apache/flink/pull/6777#discussion_r228970609
 
 

 ##########
 File path: 
flink-state-backends/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDbStateDataTransfer.java
 ##########
 @@ -0,0 +1,149 @@
+/*
+ * 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.contrib.streaming.state;
+
+import org.apache.flink.core.fs.CloseableRegistry;
+import org.apache.flink.core.fs.FSDataInputStream;
+import org.apache.flink.core.fs.FSDataOutputStream;
+import org.apache.flink.core.fs.FileSystem;
+import org.apache.flink.core.fs.Path;
+import org.apache.flink.runtime.concurrent.FutureUtils;
+import org.apache.flink.runtime.state.IncrementalKeyedStateHandle;
+import org.apache.flink.runtime.state.StateHandleID;
+import org.apache.flink.runtime.state.StreamStateHandle;
+
+import java.io.Closeable;
+import java.io.IOException;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+
+/**
+ * Data transfer utils for RocksDbKeyedStateBackend.
+ */
+public class RocksDbStateDataTransfer {
+
+       public static void transferAllStateDataToDirectory(
+               IncrementalKeyedStateHandle restoreStateHandle,
+               Path dest,
+               int resotreThreadNum,
+               CloseableRegistry closeableRegistry) throws Exception {
+
+               final Map<StateHandleID, StreamStateHandle> sstFiles =
+                       restoreStateHandle.getSharedState();
+               final Map<StateHandleID, StreamStateHandle> miscFiles =
+                       restoreStateHandle.getPrivateState();
+
+               transferAllDataFromStateHandles(sstFiles, dest, 
resotreThreadNum, closeableRegistry);
+               transferAllDataFromStateHandles(miscFiles, dest, 
resotreThreadNum, closeableRegistry);
+       }
+
+       /**
+        * Copies all the files from the given stream state handles to the 
given path, renaming the files w.r.t. their
+        * {@link StateHandleID}.
+        */
+       private static void transferAllDataFromStateHandles(
+               Map<StateHandleID, StreamStateHandle> stateHandleMap,
+               Path restoreInstancePath,
+               int resotreThreadNum,
+               CloseableRegistry closeableRegistry
+               ) throws Exception {
+
+               final ExecutorService executorService = 
Executors.newFixedThreadPool(resotreThreadNum);
+               List<CompletableFuture<Void>> futures = new LinkedList<>();
+               List<Closeable> closeables = new LinkedList<>();
+
+               try {
+                       closeables.add(() -> executorService.shutdownNow());
+                       
closeableRegistry.registerCloseable(((LinkedList<Closeable>) 
closeables).getLast());
+
+                       for (Map.Entry<StateHandleID, StreamStateHandle> entry 
: stateHandleMap.entrySet()) {
+                               StateHandleID stateHandleID = entry.getKey();
+                               StreamStateHandle remoteFileHandle = 
entry.getValue();
+
+                               if (resotreThreadNum > 1) {
+                                       CompletableFuture<Void> future = 
CompletableFuture.runAsync(() -> {
+                                               try {
+                                                       
copyStateDataHandleData(new Path(restoreInstancePath, 
stateHandleID.toString()), remoteFileHandle, closeableRegistry);
+                                               } catch (IOException e) {
 
 Review comment:
   the exception handling can go inside `copyStateDataHandleData`.
   `new Path(restoreInstancePath, stateHandleID.toString())` can be a variable 
to reduce the line length.
   I would create a list of `Runnable`'s:
   ```
   Path path = new Path(restoreInstancePath, stateHandleID.toString());
   runnables.add( -> copyStateDataHandleData(path, remoteFileHandle, 
closeableRegistry));
   ```
   and then have separate code for `resotreThreadNum > 1` and `resotreThreadNum 
== 1`.
   `executorService` currently is not used for `resotreThreadNum == 1` but 
created.

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> Speed up download file procedure when restore 
> ----------------------------------------------
>
>                 Key: FLINK-10461
>                 URL: https://issues.apache.org/jira/browse/FLINK-10461
>             Project: Flink
>          Issue Type: Improvement
>          Components: State Backends, Checkpointing
>            Reporter: Congxian Qiu
>            Assignee: Congxian Qiu
>            Priority: Major
>              Labels: pull-request-available
>
> In the current master branch, the restore will download file from DFS, the 
> download procedure are single-thread, this could speed up by using 
> multi-thread for downloading states from DFS.
>  
> In my company, the states will come to some terabytes, so the restore 
> procedure will become a litter slow, after a bit digging, I find download 
> states from DFS using single thread, this could using multi-thread for speed 
> up.
> I test the time used for download states from DFS with ~2 terabytes states. 
> With single thread it used 640+s, and 130+s when using 5 threads for download.



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