Hello,
could you please say what type of network you use to run containers?
in logs you an find the following line:
[17:35:08,448][INFO][main][IgniteKernal] Non-loopback local IPs: 10.0.2.10,
172.17.0.1, 192.168.183.128, fe80:0:0:0:20d:3aff:febb:b0b6%eth0
ignite will find all available network
Hi Lewisc,
Please try to upgrade ignite to latest version 2.6, I think it makes sense
to investigate this problem only with the latest version of Ignite. Please
share with us logs from all nodes and take stack traces from all nodes too.
Thanks,
Mike.
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>For random-lru and random-lru-2, algorithm randomly selects 5 indexes. Why
5?
well, I don't know about how this number has been chosen. The only I can
say it works fine.
>Can I change this number?
there's no way to configure it.
>And we evict the index which |last_1 - last_2| is max? Am i cor
Hi again,
I found a ticket for this feature:
https://issues.apache.org/jira/browse/IGNITE-2177
could you please re-open it with a description of your use case?
Thanks,
Mike.
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Hi,
No, custom aggregation functions are not supported.
Thanks,
Mike.
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Hi
Try to explicitly configure page size in your memPolicy/DataRegion
configuration:
https://apacheignite.readme.io/docs/memory-configuration
you need to set it to 2k to make it work with your data.
thanks,
Mike.
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Hi,
I don't see any limitations from Ignite point of view, I think it will fit
your requirements.
However if were you, I would build some sample app to check this.
So if you will do this, my advice is to deliver code to data and do
processing locally:
https://apacheignite.readme.io/docs/jcache#en
Hi,
Could you please show us ignites logs?
Thanks,
Mike.
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Hi Mamaco
I filed an improvement request for data types:
https://issues.apache.org/jira/browse/IGNITE-7607
Could you please review it and add couple lines about your case to JIRA?
Thanks,
Mike.
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Hi Kamil,
if you have magnetic tape storage and store terabytes of data, then 10
minutes might be ok for startup, but I don't think that it's your case.
Could you please share a full log of Ignite for a slow and fast startup?
Thanks,
Mike.
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Hi Michal,
Those buffers are required to make sure that all messages are delivered to
all subscribers and delivered in right order.
However I agree, 1M is a relatively large number for this.
I will check this question with Continuous Query experts and will update you
tomorrow.
Thanks,
Mikhail.
Hi John,
it's for internal use only, for example, a page can be locked for a
checkpoint, to avoid writes for the page while we writing it to a disk.
These bytes are used by OffheapReadWriteLock class, you can look at its
usage if want learns more about this.
Thanks,
Mikhail.
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Hi Anton,
We have only docs that you mentioned.
Do you have questions about continuation jobs?
Thanks,
Mikhail.
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I think javadoc is the best source for this:
/**
* Flag indicating that Ignite should wait for write or commit replies
from all nodes.
* This behavior guarantees that whenever any of the atomic or
transactional writes
* complete, all other participating nodes which cache the writte
Hi Pradeep,
I didn't reproduce the issue yet, I need more time for this.
But could you please share the full stack-trace of the exception, because
the most interesting part it is cut.
Thanks,
Mikhail.
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Hi Pradeep,
I think you've already fixed this problem, could you please share with us
your solution
Thanks,
Mikhail.
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Hi Csumi,
Does your hive requests work with HDFS directly or with IGFS via
IgniteHadoopFileSystem?
Thanks,
Mikhail.
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S
Hi Bob,
your config is ok: https://issues.apache.org/jira/browse/IGNITE-5461
there's a bug in visor which is fixed in 2.1 version.
Thanks,
Mikhail.
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Hi.
Please properly subscribe to the mailing list so that the community can
receive email notifications for your messages. To subscribe, send empty
email to user-subscr...@ignite.apache.org and follow simple instructions in
the reply.
Could you please share with us a small pom based project that
I don't about recommendations about this, you can use default value, which
works well for a lot of users.
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>I configured 10 partitions, when i started the cluster with two nodes i saw
8 partitions in one server and two partitions in other server, can we make
partitions equally?
Play a little bit with partition number, try to set it to 128 or 256.
>If not then 8 partitions servers having more load comp
Hi Ajay,
you question isn't fully correct,in both questions we should talk about
affinity key,
if you don't define affinity key, normal key is affinity key.
for simplicity I can say yes: all key/object pairs will be distributed
equally, at least for big amount of data with
good key's hashcode.
s
Hi Maureen,
Could you please share a reproduce for this as pom based project?
Thanks,
Mikhail.
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Hi Arron,
you use internal classes that isn't part of public api, please read this
article:
https://apacheignite.readme.io/docs/memory-and-cache-metrics
it explains how to get memory and cache metrics.
Thanks,
Mikhail.
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Hi Varunkumar,
Please properly subscribe to the mailing list so that the community can
receive email notifications for your messages. To subscribe, send empty
email to user-subscr...@ignite.apache.org and follow simple instructions in
the reply.
Could you please try to reproduce the issue on the
Hi,
looks like you faced with the following bug:
https://issues.apache.org/jira/browse/IGNITE-5195
unfortunately there's no workaround for this. Don't change cluster topology
:)
Thanks,
Mikhail.
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You can backport the fix to 2.0 and use your own build of ignite or wait for
2.1 release, which should be very soon.
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Hi,
you are right it's definitely offtopic for this mail list, I believe
photoshop was used.
Thanks,
Mikhail.
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Hi Mimmo,
overwrite true - significantly reduce upload speed, try to avoid it.
Thanks,
Mikhail.
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Hi,
Please first of all properly subscribe to the mailing list so that the
community can receive email notifications for your messages. To subscribe,
send empty email to user-subscr...@ignite.apache.org and follow simple
instructions in the reply.
by default Ignite 2.+ stores all data in off heap
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