What are you using the labels for?

On Thu, Oct 6, 2016 at 7:58 PM, Mohammad Hossain Namaki <mhn.na...@gmail.com
> wrote:

> Thanks.
> So, there is no way that I can turn-off this indexing? My conjecture is
> Neo4j is a disk-based database management system and it should use bounded
> resources. If I have more resources it can use more and give me better
> performance but if I don't have, it shouldn't.
> Is there anyway to configure this in Java API?
>
> I'm just aware of "pagecache_memory":
>
> File storeDir = new File(dataGraphPath);
> dataGraph = new GraphDatabaseFactory().newEmbeddedDatabaseBuilder(storeDir)
>             .setConfig(GraphDatabaseSettings.pagecache_memory, 
> "6g").newGraphDatabase();
>
>
>
>
>
> On Thursday, October 6, 2016 at 2:13:15 AM UTC-7, Michael Hunger wrote:
>>
>> perhaps you can use a docker container instead which allows you to
>> configure the open file limit?
>>
>> For storing the lookup from label -> list of nodes Neo4j uses an index
>> under the hood.
>>
>> Michael
>>
>> On Wed, Oct 5, 2016 at 5:24 AM, Mohammad Hossain Namaki <
>> mhn....@gmail.com> wrote:
>>
>>> Hi,
>>> I've imported a huge dataset into Neo4j. 33M nodes and 144M
>>> relationships. Thanks to Neo4j makers, "neo4j-importer" was very efficient.
>>> However, I'm getting (Too many open files) errors.
>>>
>>>
>>> ...
>>>
>>> Caused by: java.nio.file.FileSystemException:
>>> /fastscratch/mnamaki/idsForExp/idsAttackDB/schema/
>>> *label/lucene/labelStore/1*: *Too many open files*
>>>
>>>
>>> I've read some question/answer regarding this. However, I'm not the
>>> administrator of the system that I run my java code on there. I'm using
>>> Neo4j 3.0 using java API.
>>>
>>> So, I cannot increase the hard-limit of no-files which is 10240 in the
>>> linux server that I have.
>>>
>>>
>>> Is there any way that I can shut down this feature of Neo4j? I didn't
>>> "index" anything explicitly and just used a command to import nodes and
>>> relationships there.
>>>
>>> Or
>>>
>>> Is there any way that I can handle this without admin priviledge?
>>>
>>>
>>> How can I understand how many number of files this dataset is required?
>>>
>>>
>>> Thanks.
>>>
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>>
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