Hi,
Recently, I have used alluxio for about two month. However, it does't
satisfy our requirement. We want to use alluxio as a memory cache layer
which can easily interagte with Hadoop or Spark to accelerate our spark or
map-reduce job. Unfortunately, it doesn't work. I have done many tests
Hi Val,
When i investigate thread dump of our application, I see a lot of threads
waiting on a lock. For example i have 40 threads trying to access same key
at same time. So only one of them can read.
I realized this situation because, we have switched our cache provider to
ignite and see some
When first client start, it is OK.
When one more client start, the client will pause at following place:
[08:52:08] Ignite documentation: http://ignite.apache.org
[08:52:08]
[08:52:08] Quiet mode.
[08:52:08] ^-- Logging to file
'/home/ght/ignite-1.6.8/work/log/ignite-0127ad43.0.log'
[08:52:08]
This is true, and this is the nature of RDD in my view, which is mostly
intended to be read-only. As for embedded mode, it's more for testing in my
understanding. In this mode server nodes will be started on executors which
I guess will be stopped when the application is stopped. If so, you lose
Hi Shawn,
You can utilize lifecycle bean [1] for this. Configure it on each node and
call localLoadCache in the implementation.
[1] https://apacheignite.readme.io/docs/ignite-life-cycle
-Val
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GridLogThrottle class indeed doesn't limit the number of saved messages and
therefore is not very safe from memory consumption standpoint. However,
having more than a million of such unique message in throttled log seems a
bit weird to me. Can you investigate the content of the map in more detail?
Hi,
Yes, Ignite acquires a short-time Java-level lock on entry each time you
access it (either read or write). However, any concurrent updates or reads
of different will not interfere with each other.
Why do you think this is causing a performance issue?
-Val
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Hi Everyone,
We encountered a performance issue in production. Our code reaches ignite
cache so frequently for a get operation.
After some investigation we found out that threads are blocked in get
opration. Look at stack trace.
java.lang.Thread.State: BLOCKED (on object monitor)
at
Hi dkarachentsev,
I did loading of data from client node as suggested, but still I think
values are getting stored in both serialized and de-serialized format. I
have attached my heap dump. Which objects in this dump represents serialized
and de-serialized form. Also instead of QueryEntity, I
Hi,
It is possible to load all cache when server startup by configuration?
Suppose I have configured store factory in configuration and implement
loadcache method for CacheStore
Thanks
Shawn
Hi,
What do you mean "another client can not join the cluster to do continuous
queries"? Is there some specific error? Could you please provide logs from
client and server?
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Hi,
You can get to know if rebalancing is started/finished only via events and
how you'll use this information is up to you :)
Thanks!
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Hi, could you please describe in more details what do you want to achieve?
If you want to aquire a distributed lock on some key you may use pessimistic
transaction with REPEATEABLE_READ isolation level [1] on transactional
cache.
[1]
Don't continuous queries[1] suite your case?
[1] https://apacheignite.readme.io/docs/continuous-queries
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