thanks
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after checking code, I found that BlobServer use ServerSocket instead of
Netty's ServerBootstrap.
I wonder why and is it ok to migtate to ServerBootstrap
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can anybody share anythoughts, insights about this issue?
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thanks
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thanks rongrong, but it seems unrelevant.
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what's the benefit that uber jar have while small jar doesn't?
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so is there a way or config to ask taskmanager to keep continue connectting
to jobmanager?
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when I debug the jobmanager and below is the error log in task manager:
2018-06-04 17:16:33,295 INFO
org.apache.flink.runtime.taskexecutor.TaskExecutor- The
heartbeat of ResourceManager with id 35df0455efc2fb6fa3f2467f7f5d2ba1 timed
out.
2018-06-04 17:16:33,297 DEBUG
org.apache.flink.r
I depoloy a standard alone cluster with flink1.5 and when I try to restart
the only jobmanger, below is the log print from task manager:
2018-06-04 12:06:35,882 WARN akka.remote.ReliableDeliverySupervisor
- Association with remote system [akka.tcp://flink@ipaddress:6123] ha
got it.
thanks guys
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why jobmanager.execution.failover-strategy default value is full not
Individual?
why taskmanager.jvm-exit-on-oom default value is false not true?
code is flink 1.5
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I am not sure if it is OK to PR just for code comment errors since I found
there is one when I am reading code
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met the same problem in 1.4
when I cancel job, one of taskmanager keep logging the exception
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Rong Rong:
my flink version is 1.4.2
since we are using the docker env which is sharing disk-io, based on our
observation, disk-io spike cased by other process in the same physical
machine can lead to long time operator processing.
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Timo:
thanks for u suggestion
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each time when cancel Job does Flink call FullGC to reclaim direct memory
mainly occupied by RocksDB?
if so, where does this?
if not, why?
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some job is latency critical job which means it can't accept certain
threadhold of latency
so will flink provide timeout operator in near future which means when one
operator timeout, the jobmanager will schedule a new operator which starts
from previous state of the OP and keep dealing with new ev
someStream.filter(...).map(...).map(...);
there operators are supposed to chained.
but what if there are set different parallelism like below:
someStream.filter(...).setParallelism(X).map(...).setParallelism(Y).map(...).setParallelism(Z);
X != Y != Z
what will happen?
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Andrei Shumanski:
which source are u using?
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I'd like to integrate newer version of rocksdb with flink. I'd like to know
if there are existing tools/ways to benchmark the performance of rocksdb
state backend to see if there are performence improve or drop?
MaKeyang
TIG.JD.COM
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my flink veriso is 1.4.2
my jdk version is 1.8.0.20
my linux version is:3.10.0
I try to use epoll with setting: tasker.network.netty.transport: epoll
but it throws excption which leads me here:
https://github.com/apache/flink-shaded/issues/30
I followed the instruction and still exception throws.
one of my task manager is out ot the cluster and I checked its log found
something below:
2018-04-19 22:34:47,441 INFO org.apache.flink.runtime.taskmanager.Task
- Attempting to fail task externally Process (115/120)
(19d0b0ce1ef3b8023b37bdfda643ef44).
2018-04-19 22:34:47,441 I
since flink forward SF has done.
can you guys give some minutes to take a look at this issue and give some
thoughts on it? help to review/comments on my desgin? or give us a design so
that I can help to implement it.
thanks a lot.
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in code of flink 1.4:
HeartbeatManagerOptions
HEARTBEAT_TIMEOUT = key("heartbeat.timeout").defaultValue(5L);
but this config is not finkd in
https://ci.apache.org/projects/flink/flink-docs-release-1.4/ops/config.html
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the test is very promising.
the time sync part takes from couple of seconds to couple of mill-seconds.
1000x time reduce(overall time not save since it is just move from sync to
async)
are u guys interested in this change?
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I have put a lot of efforts on this issue and try to resolve it:
1. let me describe current timers' snapshot path first:
a) for each keygroup, invoke
InternalTimeServiceManager.snapshotStateForKeyGroup
b) InternalTimeServiceManager create a
InternalTimerServiceSerializationProxy to write sn
currently there is only time based way to trigger a checkpoint. based on this
discussion, I think flink need to introduce event based way to trigger
checkpoint such as restart a task manager should be count as a event.
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