That does sound pretty similar, modulo the raw performance difference. I
have no idea how many MEE threads there were; it was just a quick run
with exactly zero tuning, so I use whatever dbt5 does out of the box.
Actually, though, if you have any general tuning tips for TPC-E I'd be
interested to learn them (PM if that's off topic for this discussion).
Regards,
Ryan
On 26/07/2014 7:33 PM, Reza Taheri wrote:
Hi Ryan,
Thanks a lot for sharing this. When I run with 12 CE threads and 3-5 MEE
threads (how many MEE threads do you have?) @ 80-90 tps, I get something in
the 20-30% of trade-result transactions rolled back depending on how I count.
E.g., in a 5.5-minute run with 3 MEE threads, I saw 87.5 tps. There were 29200
successful trade-result transactions. Of these, 5800 were rolled back, some
more than once for a total of 8450 rollbacks. So I'd say your results and ours
tell similar stories!
Thanks,
Reza
-----Original Message-----
From: pgsql-performance-ow...@postgresql.org [mailto:pgsql-
performance-ow...@postgresql.org] On Behalf Of Ryan Johnson
Sent: Saturday, July 26, 2014 2:06 PM
To: Reza Taheri
Cc: pgsql-performance@postgresql.org
Subject: Re: High rate of transaction failure with the Serializable Isolation
Level
Dredging through some old run logs, 12 dbt-5 clients gave the following when
everything was run under SSI (fully serializable, even the transactions that
allow repeatable read isolation). Not sure how that translates to your results.
Abort rates were admittedly rather high, though perhaps lower than what
you report.
Transaction % Average: 90th % Total Rollbacks % Warning Invalid
----------------- ------- --------------- ------- -------------- ------- -------
Trade Result 5.568 0.022: 0.056 2118 417 19.69% 0 91
Broker Volume 5.097 0.009: 0.014 1557 0 0.00% 0 0
Customer Position 13.530 0.016: 0.034 4134 1 0.02% 0 0
Market Feed 0.547 0.033: 0.065 212 45 21.23% 0 69
Market Watch 18.604 0.031: 0.061 5683 0 0.00% 0 0
Security Detail 14.462 0.015: 0.020 4418 0 0.00% 0 0
Trade Lookup 8.325 0.059: 0.146 2543 0 0.00% 432 0
Trade Order 9.110 0.006: 0.008 3227 444 13.76% 0 0
Trade Status 19.795 0.030: 0.046 6047 0 0.00% 0 0
Trade Update 1.990 0.064: 0.145 608 0 0.00% 432 0
Data Maintenance N/A 0.012: 0.012 1 0 0.00% 0 0
----------------- ------- --------------- ------- -------------- ------- -------
28.35 trade-result transactions per second (trtps)
Regards,
Ryan
On 26/07/2014 3:55 PM, Reza Taheri wrote:
Hi Ryan,
That's a very good point. We are looking at dbt5. One question: what
throughput rate, and how many threads of execution did you use for dbt5?
The failure rates I reported were at ~120 tps with 15 trade-result threads.
Thanks,
Reza
-----Original Message-----
From: pgsql-performance-ow...@postgresql.org [mailto:pgsql-
performance-ow...@postgresql.org] On Behalf Of Ryan Johnson
Sent: Friday, July 25, 2014 2:36 PM
To: pgsql-performance@postgresql.org
Subject: Re: High rate of transaction failure with the Serializable
Isolation Level
On 25/07/2014 2:58 PM, Reza Taheri wrote:
Hi Craig,
According to the attached SQL, each frame is a separate phase in
the
operation and performs many different operations.
There's a *lot* going on here, so identifying possible
interdependencies isn't something I can do in a ten minute skim
read over
my morning coffee.
You didn't think I was going to bug you all with a trivial problem,
did you? :-) :-)
Yes, I am going to have to take an axe to the code and see what pops
out.
Just to put this in perspective, the transaction flow and its
statements are borrowed verbatim from the TPC-E benchmark. There
have
been dozens of TPC-E disclosures with MS SQL Server, and there are
Oracle and DB2 kits that, although not used in public disclosures for
various non-technical reasons, are used internally in by the DB and
server companies. These 3 products, and perhaps more, were used
extensively in the prototyping phase of TPC-E.
So, my hope is that if there is a "previously unidentified
interdependency
between transactions" as you point out, it will be due to a mistake
we made in coding this for PGSQL. Otherwise, we will have a hard time
convincing all the council member companies that we need to change
the schema or the business logic to make the kit work with PGSQL.
Just pointing out my uphill battle!!
You might compare against dbt-5 [1], just to see if the same problem
occurs. I didn't notice such high abort rates when I ran that
workload a few weeks ago. Just make sure to use the latest commit,
because the "released" version has fatal bugs.
[1]
https://urldefense.proofpoint.com/v1/url?u=https://github.com/peterge
og
hegan/dbt5&k=oIvRg1%2BdGAgOoM1BIlLLqw%3D%3D%0A&r=b9TKmA0CPjr
oD2HLPTHU27nI9PJr8wgKO2rU9QZyZZU%3D%0A&m=6E%2F9fWJPMGjpMyP
xtY0nsamLLW%2FNsTXu7FP9Wzauj10%3D%0A&s=b3f269216d419410f3f07bb
774a27b7d377744c9d423df52a3e62324d9279958
Ryan
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