Hi Michael - The graph resembles a social network. User knows other users.
General use cases are to find a list of users I know, list of users that my
friends know (second degree), finding mutual friends between two users etc.
In my load test, i was trying to exercise second degree queries for 1000
unique users with a throughput of 200 requests/min. (1 request for 1 user).
The second degree queries are not paginated, therefore, it may be pulling
quite a lot of nodes and caching them.

I use the default cache config. Perhaps, I should try with weak cache
config?

I read that hpc cache does not rely on GC for cache eviction.Yes, that's an
option.

thanks for you help!
George


On Tue, Feb 18, 2014 at 4:56 PM, Michael Hunger <
[email protected]> wrote:

> Can you describe your use-case (queries) and usage patterns (concurrency)
> a bit? Then it might become more obvious why the caches get filled that
> quickly and which other cache config could help.
>
> And you can always get enterprise and try out the hpc cache.
>
> Michael
>
> Am 18.02.2014 um 22:09 schrieb George Vincent <[email protected]
> >:
>
> Thanks Mark. Do you have any suggestion for the CMS collector
> configuration to start with, given that in community edition, Neo4j tries
> to evict the cache using GC as it gets full ?
>
>
>
> On Tue, Feb 18, 2014 at 9:32 AM, Mark Needham <[email protected]>wrote:
>
>> D'oh sorry I didn't answer that bit. Yeh CMS is what most people go with.
>> I think I've seen one user go with G1 but CMS should work fine.
>>
>>
>> On 18 February 2014 13:44, George Vincent <[email protected]>wrote:
>>
>>>  Thanks a lot, Mark!
>>>
>>> >> Assuming that you're not on windows the memory mapping stuff is done
>>> off heap so no GC to worry about.
>>> Correct. This will be running on Linux.
>>>
>>> >> I haven't measured the exact numbers but I'd suggest memory mapping
>>> as much of the store files as you can and then use what you have left over
>>> for the cache. (i.e. heap size).
>>> Sounds good.
>>>
>>> >>  So, is it recommended to go with CMS collector with the available
>>> heap ?
>>> Any thoughts on the GC setting to go with for the application (with the
>>> webapp + embedded server set up)?
>>>
>>>
>>> On Tuesday, 18 February 2014 03:34:53 UTC-5, Mark Needham wrote:
>>>
>>>> Hi George,
>>>>
>>>> > I presume setting the memory mapped configuration will not affect GC
>>>>
>>>> Assuming that you're not on windows the memory mapping stuff is done
>>>> off heap so no GC to worry about.
>>>>
>>>> >  Is that far more important than allocating java heap to cache
>>>> nodes/relationships?
>>>>
>>>> I haven't measured the exact numbers but I'd suggest memory mapping as
>>>> much of the store files as you can and then use what you have left over for
>>>> the cache. (i.e. heap size).
>>>>
>>>> > The reason to pick embedded server is that we can wrap a webapp
>>>> around it, and have all the application logic including cyper queries
>>>> > live in this application
>>>>
>>>> You could still do a similar thing using Neo4j server. That way you
>>>> won't mix up the GC cycles of your application and Neo4j which can be
>>>> annoying at times.
>>>>
>>>> Cheers
>>>> Mark
>>>>
>>>>
>>>> On 18 February 2014 04:31, George Vincent <[email protected]>wrote:
>>>>
>>>>> Thanks Mark. I'm evaluating a situation where I may have 8GB RAM or
>>>>> 16GB RAM. But it's not guaranteed that RAM will always be larger than the
>>>>> data size. The server may have 2 dual/quad core CPUs.
>>>>>
>>>>> If I understand correctly, the link is suggesting to allocate memory
>>>>> based on the size consumed by node store and relationship store on the
>>>>> disk. Is that far more important than allocating java heap to cache
>>>>> nodes/relationships?
>>>>>
>>>>> I presume setting the memory mapped configuration will not affect GC.
>>>>> So, is it recommended to go with CMS collector with the available heap
>>>>> (after setting the memory mapping) ?
>>>>>
>>>>> The reason to pick embedded server is that we can wrap a webapp around
>>>>> it, and have all the application logic including cyper queries live in 
>>>>> this
>>>>> application. We can have as many clients talking to this app.
>>>>>
>>>>> Thanks again.
>>>>>
>>>>> On Saturday, 15 February 2014 05:50:23 UTC-5, Mark Needham wrote:
>>>>>
>>>>>> Hi George,
>>>>>>
>>>>>> It depends how much RAM you have on the machine. Generally we suggest
>>>>>> memory mapping as much of the store as possible (
>>>>>> http://docs.neo4j.org/chunked/stable/configuration-io-examples.html)
>>>>>> and then use the memory you have left over for your JVM heap.
>>>>>>
>>>>>> The actual numbers depend on the spec of the machine so you'd have to
>>>>>> give more information on that.
>>>>>>
>>>>>> Any reason you want to use it embedded rather than use server?
>>>>>>
>>>>>> Cheers
>>>>>> Mark
>>>>>>
>>>>>>
>>>>>>
>>>>>> On 14 February 2014 15:55, George Vincent <[email protected]>wrote:
>>>>>>
>>>>>>> Hi there,
>>>>>>>
>>>>>>> I'm thinking of using Embedded graph in a web application. I'm
>>>>>>> anticipating that the graph size would be ~10 GB. What would be a good 
>>>>>>> GC
>>>>>>> configuration to start with?
>>>>>>>
>>>>>>> This will run inside a tomcat app.
>>>>>>>
>>>>>>> Any help will be highly appreciated.
>>>>>>>
>>>>>>> thanks,
>>>>>>> George
>>>>>>>
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>>>>>>
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>
>
> --
> Thanks,
> George
>
> Ph: +1 617 771 8517 (US)
>
>
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-- 
Thanks,
George

Ph: +1 617 771 8517 (US)

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