Hi Michael,
I tried what you suggested, it has increased the performance by a factor of 
~5 but the time spent still increase linearly with the number of threads.

On Saturday, July 5, 2014 2:22:47 AM UTC+5:45, ashish jindal wrote:
>
> let me try that. 
>
> On Saturday, July 5, 2014 2:15:38 AM UTC+5:45, Michael Hunger wrote:
>>
>> I just saw. ... If you have already n
>>
>> Then it should be much faster to check outgoing rels by property than a 
>> index lookup.
>>
>> Sent from mobile device
>>
>> Am 04.07.2014 um 22:25 schrieb ashish jindal <[email protected]>:
>>
>> yes, each thread has its own transaction.
>>
>> On Saturday, July 5, 2014 2:08:45 AM UTC+5:45, Michael Hunger wrote:
>>>
>>> But tge tx is created per thread?
>>>
>>>
>>>
>>> Sent from mobile device
>>>
>>> Am 04.07.2014 um 22:20 schrieb ashish jindal <[email protected]>:
>>>
>>> It is in a single transaction, which is on the outermost layer.
>>>
>>> On Saturday, July 5, 2014 2:01:44 AM UTC+5:45, Michael Hunger wrote:
>>>>
>>>> What is your transactional scope?
>>>>
>>>> Michael
>>>>
>>>> Sent from mobile device
>>>>
>>>> Am 04.07.2014 um 22:06 schrieb ashish jindal <[email protected]>:
>>>>
>>>> Hi Michael,
>>>> number of rels returned is 10-50 . Yes, i close the hits iterator as 
>>>> soon as its purpose is served.
>>>>
>>>> On Saturday, July 5, 2014 1:08:09 AM UTC+5:45, Michael Hunger wrote:
>>>>>
>>>>> How many rels are returned from the call?
>>>>>
>>>>> Do you close the hits afterwards to release resources?
>>>>>
>>>>> Sent from mobile device
>>>>>
>>>>> Am 04.07.2014 um 10:51 schrieb ashish jindal <[email protected]>:
>>>>>
>>>>> Hi,
>>>>> I am relatively new to neo4j. I have implemented a traversal algorithm 
>>>>> using neo4j as underlying graph storage. 
>>>>> Graph has about 40K nodes and about 2M edges. 
>>>>> Using 2.1.2 community version of neo4j embedded. It is hosted as 
>>>>> service in tomcat7 with allocated 6Gb of memory on 14.04 Ubuntu.
>>>>> Following is a piece of code which does numeric index queries.
>>>>>        
>>>>> *RelationshipIndex numericIndex 
>>>>> = graphDb.index().forRelationships(Constants.RELATIONSHIP_INDEX);*
>>>>> * public Relationship getRelationship(Node n, int lowerlimit, int 
>>>>> upperlimit) throws Exception {*
>>>>>
>>>>>
>>>>> *              long t1 = System.currentTimeMillis();*
>>>>> * IndexHits<Relationship> hits = 
>>>>> numericIndex.query(QueryContext.numericRange("start_time", lowerlimit, 
>>>>> upperlimit, true, true), n, null);*
>>>>> * long t2 = System.currentTimeMillis();*
>>>>> * time_spent_in_numeric_index_queries +=  t2-t1;         // global 
>>>>> variable*
>>>>> *                        // do something on hits and return a 
>>>>>  relationship from it*
>>>>>
>>>>> *      }*
>>>>> for a single threaded traversal  time_spent_in_numeric_index_queries 
>>>>> ~= 1 sec.
>>>>> but if i do multiple traversals ( same traversal ) in parallel , 
>>>>> time_spent_in_numeric_index_queries increases linearly . for 10 calls in 
>>>>> parallel it takes ~= 5 sec.
>>>>> Also, i am only doing read operations throughout .
>>>>> I want to know, how does querying work? Does it each query lock the 
>>>>> entire index?
>>>>>
>>>>>
>>>>> Thanks,
>>>>> Ashish
>>>>>
>>>>>
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