[ 
https://issues.apache.org/jira/browse/HDFS-15759?focusedWorklogId=568303&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-568303
 ]

ASF GitHub Bot logged work on HDFS-15759:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 18/Mar/21 12:26
            Start Date: 18/Mar/21 12:26
    Worklog Time Spent: 10m 
      Work Description: touchida commented on a change in pull request #2585:
URL: https://github.com/apache/hadoop/pull/2585#discussion_r596820273



##########
File path: 
hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/TestReconstructStripedFileWithValidator.java
##########
@@ -0,0 +1,98 @@
+/**
+ * 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.hadoop.hdfs;
+
+import org.apache.hadoop.hdfs.server.datanode.DataNodeFaultInjector;
+import org.junit.Test;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.nio.ByteBuffer;
+import java.util.concurrent.atomic.AtomicBoolean;
+
+/**
+ * This test extends {@link TestReconstructStripedFile} to test
+ * ec reconstruction validation.
+ */
+public class TestReconstructStripedFileWithValidator
+    extends TestReconstructStripedFile {
+  private static final Logger LOG =
+      LoggerFactory.getLogger(TestReconstructStripedFileWithValidator.class);
+
+  public TestReconstructStripedFileWithValidator() {
+    LOG.info("run {} with validator.",
+        TestReconstructStripedFileWithValidator.class.getSuperclass()
+            .getSimpleName());
+  }
+
+  /**
+   * This test injects data pollution into decoded outputs once.
+   * When validation enabled, the first reconstruction task should fail
+   * in the validation, but the data will be recovered correctly
+   * by the next task.
+   * On the other hand, when validation disabled, the first reconstruction task
+   * will succeed and then lead to data corruption.
+   */
+  @Test(timeout = 120000)
+  public void testValidatorWithBadDecoding()
+      throws Exception {
+    DataNodeFaultInjector oldInjector = DataNodeFaultInjector.get();
+    DataNodeFaultInjector badDecodingInjector = new DataNodeFaultInjector() {
+      private final AtomicBoolean flag = new AtomicBoolean(false);
+
+      @Override
+      public void badDecoding(ByteBuffer[] outputs) {
+        if (!flag.get()) {
+          for (ByteBuffer output : outputs) {
+            output.mark();
+            output.put((byte) (output.get(output.position()) + 1));
+            output.reset();
+          }
+        }
+        flag.set(true);
+      }
+    };
+    DataNodeFaultInjector.set(badDecodingInjector);
+    int fileLen =
+        (getEcPolicy().getNumDataUnits() + getEcPolicy().getNumParityUnits())
+            * getBlockSize() + getBlockSize() / 10;
+    try {
+      assertFileBlocksReconstruction(
+          "/testValidatorWithBadDecoding",
+          fileLen,
+          ReconstructionType.DataOnly,
+          getEcPolicy().getNumParityUnits());

Review comment:
       @runitao Agree!
   I'm now considering to check the metric that I mentioned at 
https://github.com/apache/hadoop/pull/2585#discussion_r596818639.
   If you know an another idea, please let me know.




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 568303)
    Time Spent: 5h 20m  (was: 5h 10m)

> EC: Verify EC reconstruction correctness on DataNode
> ----------------------------------------------------
>
>                 Key: HDFS-15759
>                 URL: https://issues.apache.org/jira/browse/HDFS-15759
>             Project: Hadoop HDFS
>          Issue Type: New Feature
>          Components: datanode, ec, erasure-coding
>    Affects Versions: 3.4.0
>            Reporter: Toshihiko Uchida
>            Assignee: Toshihiko Uchida
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 5h 20m
>  Remaining Estimate: 0h
>
> EC reconstruction on DataNode has caused data corruption: HDFS-14768, 
> HDFS-15186 and HDFS-15240. Those issues occur under specific conditions and 
> the corruption is neither detected nor auto-healed by HDFS. It is obviously 
> hard for users to monitor data integrity by themselves, and even if they find 
> corrupted data, it is difficult or sometimes impossible to recover them.
> To prevent further data corruption issues, this feature proposes a simple and 
> effective way to verify EC reconstruction correctness on DataNode at each 
> reconstruction process.
> It verifies correctness of outputs decoded from inputs as follows:
> 1. Decoding an input with the outputs;
> 2. Compare the decoded input with the original input.
> For instance, in RS-6-3, assume that outputs [d1, p1] are decoded from inputs 
> [d0, d2, d3, d4, d5, p0]. Then the verification is done by decoding d0 from 
> [d1, d2, d3, d4, d5, p1], and comparing the original and decoded data of d0.
> When an EC reconstruction task goes wrong, the comparison will fail with high 
> probability.
> Then the task will also fail and be retried by NameNode.
> The next reconstruction will succeed if the condition triggered the failure 
> is gone.



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