Dear Hugh,

Thanks a lot for the help.
I am using virtuoso version: Version 6.1.8-dev.3127-pthreads as of Aug 10
2013
Also I am unable to find the compilation and query execution time from the
example result set given below. Can you please help me a bit with this.

{
-- In the below excerpt some lines are omitted. Comments are inline.


time   1.3e-06% fanout         1          1 rows in

s# 98 cluster outer seq start, set no <V $40 set_ctr in>
save ctx:()

-- the section inside the fork is executed to the end
-- before the section after the fork is started.
s# 161 Fork 42
{
wait time   0.00012% of exec real time, fanout         0

-- The below introduces the 2 stage DFG which does most of the work.
s# 108   { Cluster location fragment 51 0 unordered
   Params: ()
Output: ()

-- First partitioning step. Each of the 32 slices gets the
-- identical plan to execute, this is a flood for all is this
-- first step does not specify a partitioning key value.

time     8e-05% fanout         0          0 rows in
s# 115 Stage 1: Params: (<V $112 set_ctr in>)

-- This is the initial table scan. The operator is executed
-- 32 times, once for each slice of data.

time      0.33% fanout   3.1e+06         32 rows in
s# 121 from DB.DBA.ct_c by ct_c    1.7e+08 rows
Key ct_c  ASC  (<V $28 a.k2 in>)
 [copies params]
vector param casts: <V $40 set_ctr in>-> <V $112 set_ctr in>

-- This is the second partitioning step, each of the rows of
-- output of the previous is sent to the slice corresponding to K2.

time        31% fanout       0.9      2e+08 rows in
s# 131 Stage 2: Params: (<v $134 q_a.k2 S136 in>, <V $138 set_ctr in>)

-- This is the 2nd index lookup, by a.k2 = b.k1 There are two
-- parameters given in the vector param cast section, the first
-- is a.k2 and the second is the set number. This is constant
-- since the query is run on a single row of input but if the
-- query were run on multiple rows of input this would specify
-- which row of input the a.k2 comes from so that this would be
-- aggregated in the right place. Many aggregates can be produced
-- in a single invocation with multiple rows of input.

time        68% fanout         0      2e+08 rows in
s# 144 from DB.DBA.ct_c by ct_c  unq         1 rows
Key ct_c  ASC  ()
 inlined  k1 = <v $134 q_a.k2 S136 in>
vector param casts: <V $28 a.k2 in>-> <v $134 q_a.k2 S136 in>, <r $112
set_ctr via  S121>-> <V $138 set_ctr in>


-- This is the aggregation.

After code:
      0:  sum <V $43 count i> 1 set no <r $138 set_ctr via  S144>
      5: BReturn 0

}
}

-- The below returns the aggregate to the client. The combining of
-- aggregates from different slices is implicit in the for operator
-- whenever this ends with a cluster location fragment.

time   5.4e-07% fanout         0          1 rows in
s# 164 Select (<V $43 count i>)
  set no: <V $40 set_ctr in>
}




On Mon, Nov 25, 2013 at 4:42 PM, Rose Beck <rosebeck...@gmail.com> wrote:

> Dear Hugh,
>
> Thanks a lot for the help. I tried to profile using profile but I am
> getting the following errors:
> SQL> profile('sparql select ?a?b?c where{?a ?b ?c}');
>
> *** Error 42001: [Virtuoso Driver][Virtuoso Server]SR185: Undefined
> procedure DB.DBA.profile.
> at line 9 of Top-Level:
> profile('sparql select ?a?b?c where{?a ?b ?c}')
> SQL> sparql profile('select ?a?b?c where{?a ?b ?c}');
>
> *** Error 37000: [Virtuoso Driver][Virtuoso Server]SQ074: Line 1: SP030:
> SPARQL compiler, line 1: syntax error at 'profile' before '('
> at line 10 of Top-Level:
> sparql profile('select ?a?b?c where{?a ?b ?c}')
>
>
>
> On Mon, Nov 25, 2013 at 4:35 PM, Hugh Williams 
> <hwilli...@openlinksw.com>wrote:
>
>> Hi Rose,
>>
>> With Virtuoso 7 you can obtain the compilation (query plan) and query
>> execution time of a query using the "profile" function as detailed at:
>>
>>
>> http://docs.openlinksw.com/virtuoso/databaseadmsrv.html#readingqueryprofile
>>
>> You can also enable general query logging and profiling using the
>> "prof_enable" function as detailed at:
>>
>> http://docs.openlinksw.com/virtuoso/databaseadmsrv.html#querylogging
>>
>>
>>   Best Regards
>> Hugh Williams
>> Professional Services
>> OpenLink Software, Inc.      //              http://www.openlinksw.com/
>> Weblog   -- http://www.openlinksw.com/blogs/
>> LinkedIn -- http://www.linkedin.com/company/openlink-software/
>> Twitter  -- http://twitter.com/OpenLink
>> Google+  -- http://plus.google.com/100570109519069333827/
>> Facebook -- http://www.facebook.com/OpenLinkSoftware
>> Universal Data Access, Integration, and Management Technology Providers
>>
>> On 25 Nov 2013, at 09:15, Rose Beck <rosebeck...@gmail.com> wrote:
>>
>> After executing SPARQL queries in virtuoso using:
>> 1. ./isql 1111 dba dba
>> 2. And then firing the SPARQL query
>>
>> After this virtuoso returns the query execution time. So does the
>> returned time include the plan generation time. If yes, is it possible to
>> find:
>>  (plan generation time) and (time to retrieve the results after the plan
>> has already been generated by Virtuoso)?
>>
>> I need to know these query times as I am benchmarking Virtuoso against
>> postgreSQL. With postgresql I am able to separately retrieve the query
>> execution time after the plan has been generated by postgresql using
>> \timing. It would be great if Virtuoso could  also give me the time it
>> takes to retrieve the results after the plan has been generated separately
>> as that would help me take a one to one comparison.
>>
>> I'll be really grateful to you for the guidance.
>>
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>>
>
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