Hi,
Your summary looks correct.
It should be possible to manage your baseline topology using a config
file, provided you follow the steps outlined.
more info here:
https://apacheignite.readme.io/docs/baseline-topology#section-triggering-rebalancing-programmatically
You can use
https://ignit
*If so
From: user@ignite.apache.org At: 12/30/19 18:35:35To: user@ignite.apache.org
Subject: Re: Isolating IgniteCache instances across JVMs on same machine by id
I will apply changes that you mentioned and see if this issue still occurs. If
not, I will attach logs.
From: user@ignite.apache.or
I will apply changes that you mentioned and see if this issue still occurs. If
not, I will attach logs.
From: user@ignite.apache.org At: 12/30/19 17:58:04To: Mitchell Rathbun
(BLOOMBERG/ 731 LEX )
Cc: user@ignite.apache.org
Subject: Re: Isolating IgniteCache instances across JVMs on same mach
Mitchell,
Can you share logs from all nodes?
Evgenii
пн, 30 дек. 2019 г. в 14:42, Mitchell Rathbun (BLOOMBERG/ 731 LEX) <
mrathb...@bloomberg.net>:
> "On a disk, it's stored in meta storage inside DB folder."
>
> We also set the IgniteWorkDirectory to be different for every server node
> id. Ho
"On a disk, it's stored in meta storage inside DB folder."
We also set the IgniteWorkDirectory to be different for every server node id.
However, we still will get "Node is not part of the baseline topology, not
using persistence." How would this still occur if the there is no shared
directory
Mitchell,
-For your first response, I just want to make sure I am clear how this
works. Say I have two different server nodes with IgniteInstanceName A and
B. If both nodes are part of the same cluster and both nodes write to a
cache (in local mode) called "datacache", would this be treated as two
Makes sense. A couple of more related questions:
-For your first response, I just want to make sure I am clear how this works.
Say I have two different server nodes with IgniteInstanceName A and B. If both
nodes are part of the same cluster and both nodes write to a cache (in local
mode) called
Kseniya, Nacho
Thank you for sharing the wallpapers. They are very cool.
IMO, we can add it in project website.
Also, I have a query regarding Apache lgnite logo that can be used for
external presentation.
Can we add this also in Apache Ignite project website?
http://apache.org/logos/#ignite
-From your first response, it seems like the db id should be included in
the cache name. Currently we just included it in the Ignite instance, but
not the cache name, which I believe led to some of the issues we have seen.
*No, it will be handled automatically, you don't need to do anything.*
-Wha
!= in kotlin uses equals() under the hood so it works here as expected.
I can't use control.sh to manage topology (becase ignite is embedded) and
trying to implement it in code. So the actual initialization sequence is:
1) Start all fresh nodes, wait for all specified persistence nodes to be
onli
Thank you for the response. A couple of things:
-From your first response, it seems like the db id should be included in the
cache name. Currently we just included it in the Ignite instance, but not the
cache name, which I believe led to some of the issues we have seen.
-What exactly would the
Hi,
1. If the cache mode is local, why does IgniteCluster even come into play?
All that we want to do is to read/write from the work directory
corresponding to our db id. Is there a way to get persistence without
activating the IgniteCluster?
*Cluster needs to make sure that all nodes in cluster k
Any thoughts on this?
From: user@ignite.apache.org At: 12/18/19 19:55:47To: user@ignite.apache.org
Cc: Anant Narayan (BLOOMBERG/ 731 LEX ) , Ranjith Lingamaneni (BLOOMBERG/ 731
LEX )
Subject: Isolating IgniteCache instances across JVMs on same machine by id
We have multiple different databas
Sorry for the delayed response, I have not since been able to reproduce this.
In general how does key equality work with Ignite, given that the keys in the
cache must be serialized? Does equals/hashCode even come into play?
From: user@ignite.apache.org At: 12/19/19 04:27:04To: user@ignite.apach
SPOILER: I need to say that the release 2.8 will be published after New Year
and all answers will be related to the new release.
If we talk to 2.8 release (the last update of ML functionality in master and
release branch)
+++ I assume that I would start by extracting features from my JSON record
Hi Igniters!
Here [1] you can find wallpapers and add some blaze to your desktop or
mobile!
As they can be used in any month, probably I shall upload them to ignite
wiki or to the project website? Please suggest what will be appropriate.
Me and GG designer Nacho wish you happy holidays and a pro
Hello!
I think you should just escape column names properly when using them:
SELECT * FROM acc WHERE "accCol1" is null;
Regards,
--
Ilya Kasnacheev
сб, 28 дек. 2019 г. в 23:19, sr.prane...@gmail.com :
> Thanks for the suggestion
>
> I am using Pure SQL to create tables.
> I dont know how to
Hello!
I think you are losing parts of WAL file so Ignite can't rewind WAL on
startup.
https://apacheignite.readme.io/docs/write-ahead-log
What walMode are you using?
Regards,
--
Ilya Kasnacheev
сб, 28 дек. 2019 г. в 21:13, krkumar24061...@gmail.com <
krkumar24061...@gmail.com>:
> Hi Guys -
Hello!
Can we see logs from all nodes in cluster?
Please also note that deadlock implies that thread dump from just a single
thread is not sufficient to understand what's going on :)
Regards,
--
Ilya Kasnacheev
сб, 28 дек. 2019 г. в 07:00, yangjiajun <1371549...@qq.com>:
> Hello,ignite commu
Hello!
First of all, I really hope you're not using != to compare collections :)
Second, cluster will auto-activate when all baseline nodes have joined. For
the first time you have to manually activate the cluster.
The algorithm looks OK and nodes should auto-activate once they are all up.
With
Hello!
Well, you have zoomed it in on a thread waiting on a lock. Nothing to see
in this particular picture.
You need to check other threads and, perhaps, other nodes as well.
Regards,
--
Ilya Kasnacheev
пт, 27 дек. 2019 г. в 16:19, tarunk :
> <
> http://apache-ignite-users.70518.x6.nabble.c
Hi Guys,
A few questions as I progress through my ML learning journey with Ignite...
- I assume that I would start by extracting features from my JSON records in
a cache into a vectorizer - how does this impact memory usage? Will origin
cache records be moved to disk, as more memory is required t
Hi, mastercracker3d!
The right way to change code is the following:
1. Create account in Apache Ignite JIRA
https://issues.apache.org/jira/projects/IGNITE
2. Create issue in JIRA.
3. Prepare pull request.
4. Send e-mail on dev-list (see:
https://ignite.apache.org/community/resources.html#mail-list
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