Thanks for your reply, I fix the problem by adding a new user.
Root is not avaliable .
> 在 2019年3月4日，上午11:47，sam peng <624645...@qq.com> 写道：
>
>
> 请教大家一个Hadoop 运行MR问题。
>
> 之前我们配置过一个单点Hadoop，能正常运行。
>
> 目前我们把hadoop 移到生产环境中，将hadoop目录挂载在磁盘中，用flume能正常收取kafka数据。
>
> 但是运行mr程序报错 ：
>
> <11_28_35__0
Hi Gary:
Yes, I enable the checkpoints in my program .
> 在 2019年3月4日，上午3:03，Gary Yao 写道：
>
> Hi Sen,
>
> Did you set a restart strategy [1]? If you enabled checkpoints [2], the fixed-
> delay strategy will be used by default.
>
> Best,
> Gary
>
> [1]
> https://ci.apache.org/project
Hi all,
I'm working on a setup to use Apache Flink in an assignment for a Big Data
(bachelor) university course and I'm interested in your view on this. To
sketch the situation:
- > 200 students follow this course
- students have to write some (simple) Flink applications using the
DataStream API;
Hi,
I couldn’t find any references to your question neither I haven’t seen such use
case, but:
Re 1.
It looks like it could work
Re 2.
It should work as well, but just try to use StreamingFileSink
Re 3.
For custom source/sink function, if you do not care data processing guarantees
it’s quite
Hi,
What Flink version are you using?
Generally speaking Flink might not the best if you have records fan out, this
may significantly increase checkpointing time.
However you might want to first identify what’s causing long GC times. If there
are long GC pause, this should be the first thing
It would help to understand the current issues that you have with this
approach? I used a similar approach (not with Flink, but a similar big data
technology) some years ago
> Am 04.03.2019 um 11:32 schrieb Wouter Zorgdrager :
>
> Hi all,
>
> I'm working on a setup to use Apache Flink in an as
Hi,
Are you asking the question if that’s the behaviour or you have actually
observed this issue? I’m not entirely sure, but I would guess that the Sink
tasks would be distributed randomly across the cluster, but maybe I’m mixing
this issue with resource allocations for Task Managers. Maybe Til
Hello everyone,
I have a job which is writing some streams into parquet files in S3. I use
Flink 1.7.2 on EMR 5.21.
My job had been running well, but suddenly it failed to make a checkpoint
with the full stack trace mentioned below. After that failure, the job
restarted from the last successful ch
Hi,
With just this information it might be difficult to help.
Please look for some additional logs (has the Flink managed to log anything?)
or some standard output/errors. I would guess this might be some relatively
simple mistake in configuration, like file/directory read/write/execute
permis
Hi,
I’m not if I understand your question/concerns.
As Rong Rong explained, key selector is used to assign records to window
operators.
Within key context, you do not have access to other keys/values in your
operator/functions, so your reduce/process/… functions when processing key:1
won’t b
Hi Wouter,
We are using Docker Compose (Flink JM, Flink TM, Kafka, Zookeeper) setups
for our trainings and it is working very well.
We have an additional container that feeds a Kafka topic via the
commandline producer to simulate a somewhat realistic behavior.
Of course, you can do it without Kafk
Hi Steven,
is this the tail of the logs or are there other statements following? I
think your problem could indeed be related to FLINK-11537. Is it possible
to somehow reliably reproduce this problem? If yes, then you could try out
the RC for Flink 1.8.0 which should be published in the next days.
Hello,
We run flink as a standalone cluster. When moving from flink 1.3 to 1.6, we
noticed a change in the scheduling behavior. Where previously parallel subtasks
of a job seemed to be round-robin allocated around our cluster, flink 1.6
appears to want to deploy as many subtasks to the same hos
Hi Seye,
usually, Flink's web UI should be accessible after a successful leader
election. Could you share with us the cluster logs to see what's going on?
Without this information it is hard to tell what's going wrong.
What you could also do is to check the ZooKeeper znode which represents the
cl
Hey all,
Thanks for the replies. The issues we were running into (which are not
specific to Docker):
- Students changing the template wrongly failed the container.
- We give full points if the output matches our solutions (and none
otherwise), but it would be nice if we could give partial grades p
Hi Sen,
Are you using the default MemoryStateBackend [1]? As far as I know, it does
not support JobManager failover. If you are already using FsStateBackend or
RocksDBStateBackend, please send JM logs.
Best,
Gary
[1]
https://ci.apache.org/projects/flink/flink-docs-release-1.5/ops/state/state_bac
Hi,
Before the actual question, and just to make sure my assumptions are
correct, my understanding is that Flink's current behaviour is:
- Job Manager failure under an highly available setup: a standby Job
Manager takes over, no impact on the job
- Task Manager failure, with enough free slots in
Hi,
I have never used this code, but ml library depends heavily on Scala, so I
wouldn’t recommend using it with Java.
However if you want to go this way (I’m not sure if that’s possible), you would
have to pass the implicit parameters manually somehow (I don’t know how to do
that from Java).
Hi,
I think that Flink SQL works currently only in UTC, so the 8 hours difference
is a result of you using GMT+8 time stamps somewhere. Please take a look at
this thread:
http://mail-archives.apache.org/mod_mbox/flink-user/201711.mbox/%3c2e1eb190-26a0-b288-39a4-683b463f4...@apache.org%3E
I thi
The amount of data you’re checkpointing (if it’s really limited to file lists)
still seems too small to cause timeouts, unless there’s some other issue with
either your configuration or where data is being written (thus my previous
question #1).
— Ken
> On Mar 3, 2019, at 10:56 PM, LINZ, Arna
Hi,
You should be able to use legacy mode for this:
https://ci.apache.org/projects/flink/flink-docs-stable/ops/config.html#legacy
However note that this option will disappear in the near future and there is a
JIRA ticket to address this issue:
https://issues.apache.org/jira/browse/FLINK-11815
Hi,
Flink SQL JSON format supports nested formats like the schema that you
posted. Maybe the renaming with `from()` works not as expected. Did you
try it without the `from()` where schema fields are equal to JSON fields?
Alternatively, you could also define the schema only and use the
`deriv
Seye, are you running Flink and Zookeeper in Docker? I’ve had problems with
Jobmanagers not resolving the hostnames for Zookeeper when starting a stack on
Docker.
From: Till Rohrmann [mailto:trohrm...@apache.org]
Sent: Monday, March 04, 2019 7:02 AM
To: Seye Jin
Cc: user
Subject: EXT :Re: Flin
Hi to all,
I was trying to test the EventCountJob[1] on Flink 1.7.2 but there's no
more QueryableStateOptions.SERVER_ENABLE. How can I specify to enable query
server on LocalFlinkMiniCluster?
I've tried to chenage it to
config.setString(QueryableStateOptions.SERVER_PORT_RANGE, "9067");
but it is ig
Till,
I will send you the complete log offline. We don't know how to reliably
reproduce the problem. but it did happen quite frequently, like once every
a couple of days. Let me see if I can cherry pick the fix/commit to 1.7
branch.
Thanks,
Steven
On Mon, Mar 4, 2019 at 5:55 AM Till Rohrmann w
Hi there,
As far as a runtime for students, it seems like docker is your best bet.
However, you could have them instead package a jar using some interface
(for example, see
https://ci.apache.org/projects/flink/flink-docs-release-1.7/dev/packaging.html,
which details the `Program` interface) and th
What happens when the flink job interacts with a user managed database and
hence has some state outside of flink? In these situations when a flink job is
recovered from last successful checkpoint, this external state will not be in
sync with the recovered flink state. In most cases it will be ah
Hi,
I have a question about to keep a ValueState after a Flink 1.7.2 cluster is
crashed.
My Flink job is simple
1) read dummy events (an event only has a string Id) from a Kafka source.
2) do a count on input events and save it as a ValueState
3) setup an externalized checkpoint running every
Thanks Piotr.
I didn't realize that the email attachment isn't working so the example I
was referring to was this figure from Flink website:
https://ci.apache.org/projects/flink/flink-docs-stable/fig/slot_sharing.svg
So I try to run multiple jobs concurrently in a cluster -- the jobs are
identica
Is it possible to use broadcast state with windowing? My job looks like below
inputStream
.keyBy("some-key")
.window(TumblingEventTimeWindows.of(Time.seconds(Properties.WINDOW_SIZE)))
It sort of makes sense that broadcast state is not available with
WindowedStream. But if I need some dynamic global state in
MyProcessWindowFunction what are my options?
Ajay
From: "Aggarwal, Ajay"
Date: Monday, March 4, 2019 at 4:36 PM
To: "user@flink.apache.org"
Subject: Broadcast state wi
Thanks Piotrek.
It seems the question has not been solved. I will try to use the
TIMESTAMPADD(timeUnit, integer, datetime) instead .
Best
Sen
> 在 2019年3月4日，下午11:29，Piotr Nowojski 写道：
>
> Hi,
>
> I think that Flink SQL works currently only in UTC, so the 8 hours difference
> is a result of y
Hi Sen,
I don't see
high-availability: zookeeper
in your Flink configuration. However, this is mandatory for an HA setup. By
default "none" is used, and the ZK configuration is ignored. The log also
hints that you are using StandaloneLeaderElectionService instead of the
ZooKeeper implementat
杨光
下午3:22 (1分钟前)
发送至 Timo、 user
HI Timo
I have get the nested value by change the Schema definition like this
Schema schemaDesc1 = new Schema()
.field("str2", Types.STRING)
.field("tablestr", Types.STRING).from("table")
* .field("obj1", Types.ROW_NAMED(new
String[]{"rk
HI Timo
I have get the nested value by change the Schema definition like this
Schema schemaDesc1 = new Schema()
.field("str2", Types.STRING)
.field("tablestr", Types.STRING).from("table")
* .field("obj1", Types.ROW_NAMED(new
String[]{"rkey","val","lastTime"},
Types.STRI
hi, Min
Complete Checkpoint contains the snapshot of all states, and when recovery from
checkpoint, all the states will be recovered from checkpoint, from what you
described, I guess when the job manager gets killed, there is an onging but not
completed checkpoint. Maybe the doc[1] can be helpf
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