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] 
> <javascript:>>:
>
> 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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