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ASF GitHub Bot commented on FLINK-3190: --------------------------------------- Github user tillrohrmann commented on a diff in the pull request: https://github.com/apache/flink/pull/1954#discussion_r69694326 --- Diff: flink-runtime/src/main/java/org/apache/flink/runtime/executiongraph/restart/FailureRateRestartStrategy.java --- @@ -35,19 +34,21 @@ * with a fixed time delay in between. */ public class FailureRateRestartStrategy implements RestartStrategy { - private final int maxFailuresPerUnit; - private final TimeUnit failureRateUnit; - private final long delayBetweenRestartAttempts; - private List<Long> restartTimestamps = new ArrayList<>(); + private final Duration failuresInterval; + private final Duration delayInterval; + private EvictingQueue<Long> restartTimestampsQueue; private boolean disabled = false; - public FailureRateRestartStrategy(int maxFailuresPerUnit, TimeUnit failureRateUnit, long delayBetweenRestartAttempts) { - Preconditions.checkArgument(maxFailuresPerUnit > 0, "Maximum number of restart attempts per time unit must be greater than 0."); - Preconditions.checkArgument(delayBetweenRestartAttempts >= 0, "Delay between restart attempts must be positive"); + public FailureRateRestartStrategy(int maxFailuresPerInterval, Duration failuresInterval, Duration delayInterval) { + Preconditions.checkArgument(maxFailuresPerInterval > 0, "Maximum number of restart attempts per time unit must be greater than 0."); + Preconditions.checkNotNull(failuresInterval, "Failures interval cannot be null."); + Preconditions.checkNotNull(failuresInterval.length() > 0, "Failures interval must be greater than 0 ms."); --- End diff -- `checkArgument` > Retry rate limits for DataStream API > ------------------------------------ > > Key: FLINK-3190 > URL: https://issues.apache.org/jira/browse/FLINK-3190 > Project: Flink > Issue Type: Improvement > Reporter: Sebastian Klemke > Assignee: Michał Fijołek > Priority: Minor > > For a long running stream processing job, absolute numbers of retries don't > make much sense: The job will accumulate transient errors over time and will > die eventually when thresholds are exceeded. Rate limits are better suited in > this scenario: A job should only die, if it fails too often in a given time > frame. To better overcome transient errors, retry delays could be used, as > suggested in other issues. > Absolute numbers of retries can still make sense, if failing operators don't > make any progress at all. We can measure progress by OperatorState changes > and by observing output, as long as the operator in question is not a sink. > If operator state changes and/or operator produces output, we can assume it > makes progress. > As an example, let's say we configured a retry rate limit of 10 retries per > hour and a non-sink operator A. If the operator fails once every 10 minutes > and produces output between failures, it should not lead to job termination. > But if the operator fails 11 times in an hour or does not produce output > between 11 consecutive failures, job should be terminated. -- This message was sent by Atlassian JIRA (v6.3.4#6332)