[ 
https://issues.apache.org/jira/browse/FLINK-8487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390204#comment-16390204
 ] 

ASF GitHub Bot commented on FLINK-8487:
---------------------------------------

Github user StephanEwen commented on a diff in the pull request:

    https://github.com/apache/flink/pull/5656#discussion_r172978556
  
    --- Diff: 
flink-core/src/main/java/org/apache/flink/api/common/time/Deadline.java ---
    @@ -0,0 +1,68 @@
    +/*
    + * 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.api.common.time;
    +
    +
    +import org.apache.flink.annotation.Internal;
    +
    +import java.time.Duration;
    +
    +/**
    + * This class stores a deadline, as obtained via {@link #now()} or from 
{@link #plus(Duration)}.
    + */
    +@Internal
    +public class Deadline {
    +   private final Duration time;
    --- End diff --
    
    I find this a bit confusing to use `Duration` here, because it really does 
not hold a duration, but an absolute point in time (in the future) evaluated 
against `System.nanoTime()`. I would simply use a `long deadlineNanos` here, 
which also makes the `isOverdue()` check (the most frequent one) cheaper.
    
    You can (and should) still use `Duration` for the arithmetic (adding time, 
etc) - simply convert to nanos.



> State loss after multiple restart attempts
> ------------------------------------------
>
>                 Key: FLINK-8487
>                 URL: https://issues.apache.org/jira/browse/FLINK-8487
>             Project: Flink
>          Issue Type: Bug
>          Components: State Backends, Checkpointing
>    Affects Versions: 1.3.2
>            Reporter: Fabian Hueske
>            Priority: Blocker
>             Fix For: 1.5.0, 1.4.3
>
>
> A user [reported this 
> issue|https://lists.apache.org/thread.html/9dc9b719cf8449067ad01114fedb75d1beac7b4dff171acdcc24903d@%3Cuser.flink.apache.org%3E]
>  on the user@f.a.o mailing list and analyzed the situation.
> Scenario:
> - A program that reads from Kafka and computes counts in a keyed 15 minute 
> tumbling window.  StateBackend is RocksDB and checkpointing is enabled.
> {code}
> keyBy(0)
>         .timeWindow(Time.of(window_size, TimeUnit.MINUTES))
>         .allowedLateness(Time.of(late_by, TimeUnit.SECONDS))
>         .reduce(new ReduceFunction(), new WindowFunction())
> {code}
> - At some point HDFS went into a safe mode due to NameNode issues
> - The following exception was thrown
> {code}
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.ipc.StandbyException):
>  Operation category WRITE is not supported in state standby. Visit 
> https://s.apache.org/sbnn-error
>     ..................
>     at 
> org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.mkdirs(HadoopFileSystem.java:453)
>         at 
> org.apache.flink.core.fs.SafetyNetWrapperFileSystem.mkdirs(SafetyNetWrapperFileSystem.java:111)
>         at 
> org.apache.flink.runtime.state.filesystem.FsCheckpointStreamFactory.createBasePath(FsCheckpointStreamFactory.java:132)
> {code}
> - The pipeline came back after a few restarts and checkpoint failures, after 
> the HDFS issues were resolved.
> - It was evident that operator state was lost. Either it was the Kafka 
> consumer that kept on advancing it's offset between a start and the next 
> checkpoint failure (a minute's worth) or the the operator that had partial 
> aggregates was lost. 
> The user did some in-depth analysis (see [mail 
> thread|https://lists.apache.org/thread.html/9dc9b719cf8449067ad01114fedb75d1beac7b4dff171acdcc24903d@%3Cuser.flink.apache.org%3E])
>  and might have (according to [~aljoscha]) identified the problem.
> [~stefanrichte...@gmail.com], can you have a look at this issue and check if 
> it is relevant?



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