Hi Marco,

that reminds me of a previous discussions in Nov./Dec. 2017, one
regarding general performance titled "tdb2.tdbloader performance" [1, 2]
and then as followup, "Report on loading wikidata" [3]. Maybe you can
also have a look at it, some people like Dick and Andy also did some
kind of (light-weight) performance benchmark

[1]
https://lists.apache.org/thread.html/a5a2751a4fc4387c3db929b95927a95cbc4d0116664c7f3d32dca576@%3Cusers.jena.apache.org%3E
[2]
https://lists.apache.org/thread.html/34b53d7ee75e484cdbcc2ac75e075e6d7321ba1ee4a143c58c95b793@%3Cusers.jena.apache.org%3E
[3]
https://lists.apache.org/thread.html/70dde8e3d99ce3d69de613b5013c3f4c583d96161dec494ece49a412@%3Cusers.jena.apache.org%3E

> absolutely it does, preferably NVMe SSD. tdbloaders are almost a showcase
> themselves for good up-to-date hardware..
>
> if possible I'd like to load the wikidata dataset* at at some point to see
> where 57GB fits in terms of tdb. The wikidata team is currently looking at
> new solutions that can go beyond blazegraph. And I get the impression that
> they have not yet actively considered to give jena tdb try.
>
> https://dumps.wikimedia.org/wikidatawiki/entities/
>
>
> On Fri, Jun 14, 2019 at 11:47 PM Martynas Jusevičius <marty...@atomgraph.com>
> wrote:
>
>> What about SSD disks, don't they make a difference?
>>
>> On Sat, Jun 15, 2019 at 12:36 AM Marco Neumann <marco.neum...@gmail.com>
>> wrote:
>>> that did the trick Andy, very good might be a good idea to add this to
>> the
>>> distribution in jena-log4j.properties
>>>
>>> I am getting these numbers for a midsize dedicated server, very nice
>>> numbers indeed Andy. well done!
>>>
>>> 00:24:53 INFO  loader               :: Loader = LoaderPhased
>>> 00:24:53 INFO  loader               :: Start:
>>> ../../public_html/lotico.ttl.gz
>>> 00:24:55 INFO  loader               :: Add: 500,000 lotico.ttl.gz (Batch:
>>> 237,755 / Avg: 237,755)
>>> 00:24:56 INFO  loader               :: Add: 1,000,000 lotico.ttl.gz
>> (Batch:
>>> 305,250 / Avg: 267,308)
>>> 00:24:58 INFO  loader               :: Add: 1,500,000 lotico.ttl.gz
>> (Batch:
>>> 313,087 / Avg: 281,004)
>>> 00:25:00 INFO  loader               :: Add: 2,000,000 lotico.ttl.gz
>> (Batch:
>>> 328,299 / Avg: 291,502)
>>> 00:25:01 INFO  loader               :: Add: 2,500,000 lotico.ttl.gz
>> (Batch:
>>> 341,763 / Avg: 300,336)
>>> 00:25:03 INFO  loader               :: Add: 3,000,000 lotico.ttl.gz
>> (Batch:
>>> 337,381 / Avg: 305,935)
>>> 00:25:04 INFO  loader               :: Add: 3,500,000 lotico.ttl.gz
>> (Batch:
>>> 318,877 / Avg: 307,719)
>>> 00:25:06 INFO  loader               :: Add: 4,000,000 lotico.ttl.gz
>> (Batch:
>>> 295,857 / Avg: 306,184)
>>> 00:25:07 INFO  loader               :: Add: 4,500,000 lotico.ttl.gz
>> (Batch:
>>> 327,225 / Avg: 308,388)
>>> 00:25:09 INFO  loader               :: Add: 5,000,000 lotico.ttl.gz
>> (Batch:
>>> 349,406 / Avg: 312,051)
>>> 00:25:09 INFO  loader               ::   Elapsed: 16.02 seconds
>> [2019/06/15
>>> 00:25:09 CEST]
>>> 00:25:11 INFO  loader               :: Add: 5,500,000 lotico.ttl.gz
>> (Batch:
>>> 285,062 / Avg: 309,388)
>>> 00:25:13 INFO  loader               :: Add: 6,000,000 lotico.ttl.gz
>> (Batch:
>>> 203,665 / Avg: 296,559)
>>> 00:25:16 INFO  loader               :: Add: 6,500,000 lotico.ttl.gz
>> (Batch:
>>> 189,393 / Avg: 284,190)
>>>
>>> on another machine that sits in the Azure infrastructure somewhere it
>>> tdbloader doesn't look as good, even with decent hardware it seems to
>> die a
>>> slow death of memory exhaustion at 16GB. started off with 70kT/s and is
>> now
>>> down to 17kT/s and still going.
>>>
>>> lesson learned big iron and big memory is the way to go with Jena
>>> tdbloaders.
>>>
>>>
>>>
>>>
>>> On Fri, Jun 14, 2019 at 10:53 PM Andy Seaborne <a...@apache.org> wrote:
>>>
>>>> These messages are logged (to logger "org.apache.jena.tdb2.loader") -
>> do
>>>> you have log4j.proprties in the current working directory?
>>>>
>>>> Do you get any output?
>>>>
>>>> INFO  Loader = LoaderParallel
>>>> INFO  Start: /home/afs/Datasets/BSBM/bsbm-5m.nt.gz
>>>> INFO  Add: 500,000 bsbm-5m.nt.gz (Batch: 134,770 / Avg: 134,770)
>>>> INFO  Add: 1,000,000 bsbm-5m.nt.gz (Batch: 189,753 / Avg: 157,604)
>>>> INFO  Add: 1,500,000 bsbm-5m.nt.gz (Batch: 205,676 / Avg: 170,920)
>>>> INFO  Add: 2,000,000 bsbm-5m.nt.gz (Batch: 204,248 / Avg: 178,189)
>>>> INFO  Add: 2,500,000 bsbm-5m.nt.gz (Batch: 202,101 / Avg: 182,508)
>>>> INFO  Add: 3,000,000 bsbm-5m.nt.gz (Batch: 206,953 / Avg: 186,173)
>>>> INFO  Add: 3,500,000 bsbm-5m.nt.gz (Batch: 183,621 / Avg: 185,804)
>>>> INFO  Add: 4,000,000 bsbm-5m.nt.gz (Batch: 151,423 / Avg: 180,676)
>>>> INFO  Add: 4,500,000 bsbm-5m.nt.gz (Batch: 152,765 / Avg: 177,081)
>>>> INFO  Add: 5,000,000 bsbm-5m.nt.gz (Batch: 158,881 / Avg: 175,076)
>>>> INFO    Elapsed: 28.56 seconds [2019/06/14 22:51:37 BST]
>>>> INFO  Finished: /home/afs/Datasets/BSBM/bsbm-5m.nt.gz: 5,000,599 tuples
>>>> in 28.63s (Avg: 174,644)
>>>> INFO  Finish - index SPO
>>>> INFO  Finish - index POS
>>>> INFO  Finish - index OSP
>>>> INFO  Time = 35.572 seconds : Triples = 5,000,599 : Rate = 140,577 /s
>>>>
>>>>
>>>> There is pause after the first "Finished:" - this is finished data in,
>>>> the index threads are still running and the pause comes from flush to
>> disk.
>>>>      Andy
>>>>
>>>> On 14/06/2019 20:16, Marco Neumann wrote:
>>>>> let me fire up one of the big machines to see what I will get there.
>>>>> currently I have no info display during load with tdb2.tdbloader .
>> if -v
>>>> is
>>>>> specified I get some extra info but no load info.
>>>>>
>>>>> On Fri, Jun 14, 2019 at 8:03 PM Andy Seaborne <a...@apache.org>
>> wrote:
>>>>>>
>>>>>> On 14/06/2019 18:13, Marco Neumann wrote:
>>>>>>> I am collecting jena loader benchmarks. if you have results please
>> post
>>>>>>> them directly.
>>>>>>>
>>>>>>> http://www.lotico.com/index.php/JENA_Loader_Benchmarks
>>>>>> tdb2.tdbloader has variations controlled by --loader.
>>>>>>
>>>>>> --loader=
>>>>>> Loader to use: 'basic', 'phased' (default), 'sequential',
>> 'parallel' or
>>>>>> 'light'
>>>>>>
>>>>>> "basic" is a super naive parser-add triple loop - it used if a
>> loader
>>>>>> can't cope with an already loaded database.
>>>>>>
>>>>>> "phased" is a balanced, does not saturate the machine loader. Some
>>>>>> parallelism.
>>>>>>
>>>>>> "sequential" is the tdbloader algorithm for TDB2, more for
>> reference.
>>>>>> "parallel" is as much parallelism as it wants. (5 for triples, more
>> for
>>>>>> quads)
>>>>>>
>>>>>> "light" is two threaded. Slightly ligther than "phased".
>>>>>>
>>>>>> See LoaderPlans.
>>>>>>
>>>>>>> On a linux machine I am using "time" to collect data.
>>>>>>>
>>>>>>> Is there a flag on tdb2.tdbloader to report time and triples per
>>>> second?
>>>>>>> I have noticed that storage space use for tdbloader2 is
>> significantly
>>>>>>> smaller on disk compared to tdbloader and tdb2.tdbloader. Is there
>> a
>>>>>>> straight forward explanation here?
>>>>>>>
>>>>>
>>>
>>> --
>>>
>>>
>>> ---
>>> Marco Neumann
>>> KONA
>
-- 
Lorenz Bühmann
AKSW group, University of Leipzig
Group: http://aksw.org - semantic web research center

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