How many entries did you put into a cache?
How do you check, that nodes have entries?
Did you configure a node filter for the cache?
Rendezvous affinity function may give unfair distribution on small
datasets,
but it gets better, when number of entries grows.
So, if you've only put 5-10 entries, t
The keys are hashed so in theory they should be distributed relatively
evenly. I traced the logic to do the hashing once and it seemed ok, but it's
pretty complicated so I won't claim to know it that well. We use UUIDs and
it does seem to distribute pretty much evenly.
Are you sure all the nodes
Thanks again.
I have one more question. After pushing some data, I see only two nodes
having entries out of 8. All the others have 0 entries.
My keys are 9 char long strings with a common prefix (all have the same
first 3 chars). Wondering why the keys are not evenly distributed.
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Sent fro
Non-heap memory is different than off-heap memory. Non-heap is (roughly
speaking) memory that the JVM itself uses. Off-heap is what Ignite is using
for storage off the heap. So you're probably not looking at what you think
you're looking at.
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Sent from: http://apache-ignite-users.70518.x6.nab
breischl, Thanks for the quick response.
I'm not sure why the node stats show
Non-heap memory maximum | 744mb
Each server node has 32GB and I've assigned 3g for heap. Shouldn't this be
16GB since that's what I set the data region size to?
-
You're probably just running out of memory, though if you examine the
stacktrace it may tell you if you're running out of heap or off-heap memory.
If there's a call to Unsafe.something() in there, it's probably off-heap.
Otherwise it's probably on-heap.
You do seem to be configuring only a 3 GB h
I'm seeing OutOfMemoryError when I have multiple data streamers pushing data
into the cluster.
My cluster consists of 8 servers running one node each. Each server has 32GB
RAM and 4 Cores.
All the nodes are started like this
=
bin/ignite.sh -J-Xmx3g config/dev-cluster-config.xml
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