Hi!
In some cases it seems to take a long time for the job to start the zookeeper based job recovery after recovering from a JM failure. Looking at the logs there is a 2 minute gap between the last recovered TM was started successfully and the job recovery: 2017-08-10 13:14:06,369 INFO org.apache.flink.runtime.instance.InstanceManager - Registered TaskManager at splat31 (akka.tcp://flink@...:41821/user/taskmanager) as 2de2376edd4670b48600f29df9e821a1. Current number of registered hosts is 15. Current number of alive task slots is 120. 2017-08-10 13:14:08,198 INFO org.apache.flink.yarn.YarnFlinkResourceManager - TaskManager container_e22_1495032222473_0939_02_000002 has started. 2017-08-10 13:14:08,198 INFO org.apache.flink.runtime.instance.InstanceManager - Registered TaskManager at splat19 (akka.tcp://flink@...:36377/user/taskmanager) as 06ed7098060f4d539150c1c26a32ac07. Current number of registered hosts is 16. Current number of alive task slots is 128. 2017-08-10 13:14:56,710 INFO kafka.client.ClientUtils$ - Fetching metadata from broker id:0,host:kafka10.sto.midasplayer.com,port:9092 with correlation id 0 for 1 topic(s) Set(meter.rbea.log) 2017-08-10 13:14:56,714 INFO kafka.producer.SyncProducer - Connected to kafka10.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,734 INFO kafka.producer.SyncProducer - Disconnecting from kafka10.sto.midasplayer.com:9092 2017-08-10 13:14:56,780 INFO kafka.producer.SyncProducer - Connected to kafka10.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,791 INFO kafka.producer.SyncProducer - Connected to kafka21.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,796 INFO kafka.producer.SyncProducer - Connected to kafka11.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,800 INFO kafka.producer.SyncProducer - Connected to kafka09.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,806 INFO kafka.producer.SyncProducer - Connected to kafka23.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,826 INFO kafka.producer.SyncProducer - Connected to kafka22.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,830 INFO kafka.producer.SyncProducer - Connected to kafka08.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,845 INFO kafka.producer.SyncProducer - Connected to kafka20.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,852 INFO kafka.producer.SyncProducer - Connected to kafka15.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,857 INFO kafka.producer.SyncProducer - Connected to kafka17.sto.midasplayer.com:9092 for producing 2017-08-10 13:14:56,861 INFO kafka.producer.SyncProducer - Connected to kafka18.sto.midasplayer.com:9092 for producing 2017-08-10 13:15:56,814 INFO org.apache.flink.yarn.YarnJobManager - Attempting to recover all jobs. 2017-08-10 13:15:56,820 INFO org.apache.flink.yarn.YarnJobManager - There are 1 jobs to recover. Starting the job recovery. 2017-08-10 13:15:56,821 INFO org.apache.flink.yarn.YarnJobManager - Attempting to recover job fea2eb82ef98849be2a8ac1731379193. 2017-08-10 13:15:56,886 INFO kafka.producer.SyncProducer - Connected to kafka13.sto.midasplayer.com:9092 for producing 2017-08-10 13:15:56,889 INFO kafka.producer.SyncProducer - Connected to kafka14.sto.midasplayer.com:9092 for producing 2017-08-10 13:15:56,943 INFO kafka.producer.SyncProducer - Connected to kafka12.sto.midasplayer.com:9092 for producing
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Hi,
Let me also investigate that? Did you observe this in 1.3.2 and not in 1.3.0 and/or 1.3.1 or did you directly go from 1.2.x to 1.3.2? Best, Aljoscha
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Oh, I found this in the log that seems to explain it: 2017-08-10 13:13:56,795 INFO org.apache.flink.yarn.YarnJobManager - Delaying recovery of all jobs by 120000 milliseconds. I wonder why is this... Aljoscha Krettek <[hidden email]> ezt írta (időpont: 2017. aug. 10., Cs, 14:41):
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Here is actually the whole log for the relevant parts at least: https://gist.github.com/gyfora/b70dd18c048b862751b194f613514300 Sorry for not pasting it earlier. Gyula Gyula Fóra <[hidden email]> ezt írta (időpont: 2017. aug. 10., Cs, 15:04):
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Don't worry! :-) I found that you can configure this via "high-availability.job.delay" (in HighAvailabilityOptions).
Best, Aljoscha
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Sweet, thanks Aljoscha for the quick help. Gyula Aljoscha Krettek <[hidden email]> ezt írta (időpont: 2017. aug. 10., Cs, 15:33):
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