Wednesday, 11 November, 2015

MySQL Performance: What is odd with 1M QPS claimed by MariaDB 10.1 ?..

This article is continuing the MySQL 5.7 Performance story, started from 1.6M QPS details post, and followed by 1M QPS OLTP_RO article. However, the current story will not be mostly about MySQL 5.7, but also about announced on the same time MariaDB 10.1 GA ;-)

So far, MySQL Team was proud to show 1.6M QPS on Point-Select (SQL) queries, and MariaDB 10.1 GA announce was also claiming an ability to reach 1M QPS, also on Point-Selects, but on POWER8 HW. And I may be only happy for MariaDB team for their progress on POWER systems, except just one small detail related to how their 1M QPS result was obtained..

But first of all, what are these Point-Selects and what is so special with this workload ?..

  • point-select is representing a single SQL query reading a row by its primary key (PK)
  • a workload based on such queries is very similar to any generic key-value store solution, but via SQL
  • usually a point-select is extremely fast and doing a round-trip from end-to-end in database engine
  • so any internals overhead in engine code, any contentions, any scalability limits are seen very quickly..
  • historically such kind of workload did not scale very well on MySQL/InnoDB tandem..
  • on MySQL Server side there was a huge amount of internal locks around every SQL query execution
  • while on the InnoDB side there was a huge general overhead related to transactions management + related locks..
  • the first step ahead was made here in MySQL 5.6
  • but the real changes came only with MySQL 5.7 ;-)

So, our 1.6M QPS on Point-Selects with MySQL 5.7 we were able to reach under the most heavy conditions :
  • each Sysbench "client" thread is executing a single point-select query per iteration
  • no transactions clauses used, no grouping..
  • single query round-trip is driving the response time latency
  • a fair simulation of a key-value store by SQL access

and the Sysbench execution command line is looking then as the following:
LD_PRELOAD=/usr/lib64/ /BMK/sysbench --num-threads=$1 \
        --test=oltp --oltp-table-size=1000000 \
        --oltp-dist-type=uniform --oltp-table-name=sbtest_1M_$n \
        --max-requests=0 --max-time=$2 --mysql-socket=/SSD_raid0/mysql.sock \
        --mysql-user=dim --mysql-password=dim --mysql-db=sysbench \
        --mysql-table-engine=INNODB  --db-driver=mysql \
        --oltp-point-selects=1 --oltp-simple-ranges=0 --oltp-sum-ranges=0 \
        --oltp-order-ranges=0 --oltp-distinct-ranges=0 --oltp-skip-trx=on \
        --oltp-read-only=on run  > /tmp/test_$n.log &

Now, about 1M QPS result published on MariaDB 10.1 :
  • if you'll look in details published in their article, instead of --oltp-point-selects=1 the --oltp-point-selects=1000 was used
  • and these 1K point-selects then grouped and executed within a single transaction!.. (--oltp-skip-trx=off is used (default))

Adapting these test conditions to my Sysbench command line this will then give the following :
LD_PRELOAD=/usr/lib64/ /BMK/sysbench --num-threads=$1 \
        --test=oltp --oltp-table-size=1000000 \
        --oltp-dist-type=uniform --oltp-table-name=sbtest_1M_$n \
        --max-requests=0 --max-time=$2 --mysql-socket=/SSD_raid0/mysql.sock \
        --mysql-user=dim --mysql-password=dim --mysql-db=sysbench \
        --mysql-table-engine=INNODB  --db-driver=mysql \
        --oltp-point-selects=1000 --oltp-simple-ranges=0 --oltp-sum-ranges=0 \
        --oltp-order-ranges=0 --oltp-distinct-ranges=0 --oltp-skip-trx=off \
        --oltp-read-only=on run  > /tmp/test_$n.log &

How does this change the initial workload test case ?
  • in one word : completely ;-)
  • by grouping 1000 queries within a single transaction we're lowering a lot the whole related transaction locks..
  • and as the result, an overall QPS numbers are growing! ;-)
  • but did you see many real cases when a single MySQL session is grouping 1000 SELECT queries within a single transaction ?..
  • I may still imagine a need to run several SELECTs within a single transaction to guarantee a read consistency...
  • but such kind of queries are usually not short ones, so not really good to show a high QPS ;-)
  • but well, even they are really short as point-selects.. -- what kind of application will run them by 1000 in a single shot ?..
  • such kind of a "workaround" we proposed yet to our users when started to ship MySQL 5.6, but always mentioned that this is as a workaround, not a final solution (as this could help when you're really have many fast SELECTs and you can really group then within a single transaction without breaking your apps logic).. -- but as soon as potential amount of SELECTs to group is small, the transaction overhead is quickly eating your gain..
  • so, the real solution here is - MySQL 5.7 ;-)

Let me show now all this by example, using the test scenario as proposed by MariaDB and just vary the amount of point-selects executed within a single transaction. Let's start with 50 point-selects (which is already too much as to me, but well) :

50 point-selects in transaction :

Observations :
  • MySQL 5.7 is still reaching its 1.6M QPS as well
  • MariaDB 10.1 is reaching over 1.4M QPS (so, not only on Power while running within a "workaround" test conditions)..

Then the following are the results with 25, 10, and 5 point-selects executed within the same transaction :

25 point-selects in transaction :

10 point-selects in transaction :

5 point-selects in transaction :

Observations :
  • as you can see, less queries executed within the same single transaction - lower QPS is reached..
  • so, MySQL 5.7 is going from 1.6M QPS to 1.2M QPS
  • while MariaDB 10.1 is going from 1.4M QPS to just 600K QPS..

On the last test, with 5 point-selects within a transaction the lower QPS is also impacted by round-trips of BEGIN and COMMIT statements around transaction.. What the result will be if I'll not use transactions?

5 point-selects without transaction :

Observations :
  • as you can see, MySQL 5.7 is going back to its 1.6M QPS
  • while MariaDB 10.1 is going yet more down to just slightly higher than 400K QPS only..

To get a better understanding of the transaction statements impact let's get a look on the following graph comparing MySQL 5.7 in the last test with 5 point-selects within transaction (left side) -vs- 5 point-selects without transaction (right side) :

Observations :
  • as you can see in overall amount of Queries/sec the left side is even higher! (BEGIN and COMMIT are also counted as queries by MySQL stats)
  • and as we're wasting CPU cycles to process BEGIN and COMMIT - we're doing less SELECTs as the result..
  • while on the right side (without transactions) the whole CPU time is spent for SELECTs, and we're reaching 1.6M QPS then ;-)

Now :
  • it's up to you to consider whenever MariaDB 10.1 is really reaching 1M QPS, or 400K QPS only ;-))
  • however, what is important for me here after all : you can really reach 1.6M QPS with MySQL 5.7 whatever the test conditions are used here ;-))

Then, to avoid any kind of speculations about new Intel chips as the reason of excellent MySQL 5.7 scalability results, let me just remind you about the results obtained on the old severs (32cores-HT and 40cores-HT), running the old Intel CPUs (similar 4CPU sockets each, but just 8cores-HT and 10cores-HT per CPU socket, both are running at 2300Mhz frequency). The following are the results obtained on the same Sysbench RO Point-Select workload :
  • single point-select per iteration, no transactions
  • 8 tables of 1M rows are used in the first test
  • 1 table of 10M rows is used in the second test

32cores-HT :

40cores-HT :

72cores-HT :

Observations :
  • as you can see there is a huge gap between MySQL 5.7 and any other engine on 32, 40 and 72cores-HT HW..
  • the gap on 72cores-HT HW is way bigger only because MySQL 5.7 is continuing to scale and reaching a yet more higher result, while all other engines are already reached their limits and cannot go anymore further..
  • NOTE : only MySQL 5.7 is showing near the same QPS results on both 8-tables and 1-table workloads

  • From where is coming such a great scalability gain in MySQL 5.7 ?
    • first of all it's a continuous improvement process started yet since MySQL 5.6 with kernel_mutex split + RO transactions on InnoDB side, and many various internal contentions improvements on the MySQL Server side
    • then, on MySQL 5.7 InnoDB side : a whole transactions management redesign, improved lock management, redesigned index locking, etc...
    • MySQL 5.7 Server side : resolved contentions around MDL, THR_lock, LOCK_grant, LOCK_plugin, and all other "next-level" locks fixes.. -- in fact for today there is no more any known/visible internal contentions in MySQL 5.7 except coming from InnoDB ;-)
    • so far, all the credit is to our great MySQL Engineering Team! (all the listed stuff above is related to fundamental changes invented and implemented by our Engineering, taking us months and years of heavy work)..
    • and, of course, huge thanks to MySQL Community for all feedback we have about ;-)

  • When MariaDB will be able to scale as far as MySQL 5.7 ?
    • when it'll move to InnoDB SE from MySQL 5.7
    • and when on its Server side the lock contention in the "lock free" table definition cache code will be fixed ;-)

  • When Percona Server will scale as far as MySQL 5.7 ?
    • since Percona Server will move to the MySQL 5.7 code base
    • and XtraDB moves to InnoDB code base from MySQL 5.7
    • not before ;-)

  • or both are re:implementing all these changes in their 5.6 / 10.1 code ;-)
  • And hope I don't say you here any news, because the same story was already with MySQL 5.6 too, but who cares? ;-))

Well, what to say.. -- #MySQL 5.7 rocks! ;-)


Posted by Dimitri at 2:12 - Comments...
Categories: MySQL

Friday, 06 November, 2015

Slides from my talk about MySQL Performance @OpenWorld 2015

Slides from my talk during MySQL Central @OpenWorld 2015 are available from here now :

they should be soon available from the OpenWorld site as well.


Posted by Dimitri at 20:33 - Comments...
Categories: MySQL

Thursday, 05 November, 2015

MySQL Performance: 1M QPS on mixed OLTP_RO with MySQL 5.7 GA

This article is following the MySQL 5.7 Performance series started from 1.6M QPS details post

Let's focus now on the Sysbench "mixed" OLTP_RO workload (so, not only Point-Selects, but all RO queries as it was initially designed in OLTP_RO scenario in Sysbench), which is composed of :

  • x10 point-selects
  • x1 simple-ranges
  • x1 order-ranges
  • x1 sum-ranges
  • x1 distinct-ranges

Note about test conditions :
  • in this and in the previous article we're seeking for MySQL & InnoDB scalability limits ;-)
  • so, yes, the client and server are running locally on the same host (we're not testing here network stuff vendors)
  • the load is not IO-bound either, very quickly the whole dataset is reaching BP and remains in memory (we're not testing IO vendors here)
  • again, all the focus here is on MySQL scalability limits, nothing else..

Note about tested workloads :
  • why we're paying so many attention to these "simple" queries from Sysbench ?..
  • well, just consider it like the "entry ticket" for any database engine ;-)
  • these simple tests in fact are extremely aggressive, and bombarding all engine internals very heavily..
  • the point-select, for ex., is extremely fast and crossing on every pass the whole engine stack from entry to end point & back..
  • while the distinct-ranges is extremely aggressive on malloc() scalability + in-memory temp tables management..
  • etc. etc. etc..
  • so, if your production workload is based on much more complex queries, and you're suspecting scalability issues -- rather to stay negative, send us your test workload and share your observations -- we cannot improve everything within a one single shot, right? -- there is still so many things to do yet..
  • but I just may say you one thing : without improved scalability on "simple" loads any "complex" load scalability is just impossible.. -- so, stay tuned, we're coming ;-)

Note about the tested HW :
  • I was told several times during the MySQL Central conference and other user meeting that 72cores config is waaay toooo big..
  • guys, is it really big ?? ;-)
  • just think that this is the same 4CPU sockets server as we used before..
  • just that today's Intel chip has 18cores per socket -vs- 10cores we saw before, and the CPU chip itself was also greatly improved..
  • well, if 4CPU is still toooo biiiig for you, will be 2CPU is "good enough" ?..
  • but even with 2CPU you're having 36cores-HT here ;-)
  • and this 2CPU 36cores-HT config is already showing a way better QPS than we observed on 4CPU 40cores-HT before !!
  • what to do with this then ?? ;-)
  • keeping in mind that the next Intel chip will give you 48cores-HT (24cores-HT per CPU socket)..
  • so, you want it, or not -- scalability is THE MUST today to give MySQL users a full power of their HW ;-))

Well, a long story short, let's go directly to the test results.

Sysbench OLTP_RO 1M x 8-tables 72cores-HT :

Observations :
  • MySQL 5.7 is reaching 1M QPS on OLTP_RO !! (while seems like there is still a room for progress)..
  • on the second position is MySQL 5.6, and in max-to-max comparison MySQL 5.7 is doing x2.5 times better than 5.6
  • Persona Server 5.6 is taking #3position
  • and, surprisingly MariaDB 10.1 here the worse, except MySQL 5.5
  • Note that except MySQL 5.7, the difference between MySQL 5.5 result and other engines is not that big..
  • this is because QPS gain here is coming for them mostly from "mixed" ranges queries, which was already not that bad in 5.5
  • (and if you payed attention to the previous article, you may see that on point-selects MySQL 5.5 is reaching the same max QPS as all other engines, except 5.7)..
  • so, yes, the huge gain you're seeing here for MySQL 5.7 is coming due all this heavy remastering started from TRX-list re-design 2 years ago and continued on all levels till 5.7 GA release..
  • indeed, this was not easy, but yes, we done it !!! ;-))

What about scalability now?

MySQL 5.7 Scalability @Sysbench OLTP_RO 1M x 8-tables 72cores-HT :

MySQL 5.6 Scalability @Sysbench OLTP_RO 1M x 8-tables 72cores-HT :

MySQL 5.5 Scalability @Sysbench OLTP_RO 1M x 8-tables 72cores-HT :

Percona Server 5.6 Scalability @Sysbench OLTP_RO 1M x 8-tables 72cores-HT :

MariaDB 10.1 Scalability @Sysbench OLTP_RO 1M x 8-tables 72cores-HT :

Observations :
  • only MySQL 5.7 is really scaling here up to 72cores-HT
  • except MySQL 5.5, all other engines are having better QPS on 32cores-HT -vs- 18cores-HT
  • however, this gain is not that big.. - but MySQL 5.6 is doing better than others
  • MariaDB 10.1 is the worse again, just better than the oldest MySQL 5.5..

Now the same workload, but using only a single 10M rows table.

Sysbench OLTP_RO 10M x 1-table 72cores-HT :

Observations :
  • MySQL 5.7 is the best again, but not yet reaching 1M QPS, a room for improvement ;-)
  • MySQL 5.6 and Percona Server 5.6 on the #2 position
  • and MariaDB 10.1 closing the group, just before MySQL 5.5

And scalability?

MySQL 5.7 Scalability @Sysbench OLTP_RO 10M x 1-table 72cores-HT :

MySQL 5.6 Scalability @Sysbench OLTP_RO 10M x 1-table 72cores-HT :

MySQL 5.5 Scalability @Sysbench OLTP_RO 10M x 1-table 72cores-HT :

Percona Server 5.6 Scalability @Sysbench OLTP_RO 10M x 1-table 72cores-HT :

MariaDB 10.1 Scalability @Sysbench OLTP_RO 10M x 1-table 72cores-HT :

Observations :
  • the result is very similar to 8-tables results, except that Percona Server 5.6 is very close with MySQL 5.6 here
  • while MySQL 5.7 is just the best ;-)

And, similar to the previous article, here are the results reflecting the evolution of tested HW and CPU power :

MySQL 5.7 Scalability @Sysbench OLTP_RO 1M x 8-tables :

MySQL 5.7 Scalability @Sysbench OLTP_RO 10M x 1-table :

Indeed, the difference is very impressive ;-)

Over last 2 weeks in all discussions I've got many times the same question : do we really need to upgrade our HW to get the best from MySQL Performance ?...

Let me show you then just few following graphs :

here is HW evolution related to MySQL 5.5 on OLTP_RO the presented workload :

Observations :
  • as you can see, 5.5 was the best on 12cores-HT config on the old HW
  • it was not able to show anything better on 32 or 40cores-HT configuration..
  • however, moved to the newer CPU chip, even MySQL 5.5 is going x2 times faster here! ;-)
  • and as you can see from the 5.5 scalability graphs, 1CPU socket is just enough here..
  • and, unfortunately, 1CPU will be also your limit for MySQL 5.5 Performance ;-)

now the same for MySQL 5.6 :

Observations :
  • MySQL 5.6 is scaling better, and already able to show over 50% better performance on an old, but bigger HW
  • but on the newer CPU it's doing yet x2 times better (even without scaling well)..

And, of course, once you'll move to MySQL 5.7, you'll be able to go yet more far on these new 2CPU or 4CPU sockets :

Observations :
  • no comments ;-))

And to finish, few more details about the test conditions :

my.conf -- used exactly the same config settings as in the previous article.

The Sysbench command used to run OLTP_RO test via IP port (starting 8 processes in parallel):
$ LD_PRELOAD=/usr/lib64/ /BMK/sysbench --num-threads=$1  \
        --test=oltp --oltp-table-size=1000000 \
        --oltp-dist-type=uniform --oltp-table-name=sbtest_1M_$n \
        --max-requests=0 --max-time=$2 --mysql-host= --mysql-port=5700 \
        --mysql-user=dim --mysql-password=dim --mysql-db=sysbench \
        --mysql-table-engine=INNODB  --db-driver=mysql  --oltp-skip-trx=on \
        --oltp-read-only=on run  > /tmp/test_$n.log &

Should I say once more again MySQL 5.7 rocks !!! ;-))

Posted by Dimitri at 18:32 - Comments...
Categories: MySQL

Monday, 26 October, 2015

MySQL Performance: Yes, we can do more than 1.6M QPS (SQL) on MySQL 5.7 GA

It was exactly 2 years now since we reached 500K QPS with MySQL 5.7 -- it was a great milestone, and the highest ever result seen on MySQL with true SQL queries ;-)) And this was on 32cores-HT machine.. (the linked article contains the whole long story how we arrived to 250K QPS first, then 275K, 350K, 440K, and finally 500K QPS) -- the main improvement here is coming from greatly redesigned transactions and transaction list management in MySQL 5.7.

However, when the 40cores-HT server arrived to MySQL LAB we were not yet ready to show more than 500K QPS -- there were still some other contentions on external to InnoDB level.. Once these all were fixed, we finally reached 645K QPS on 40cores-HT server and pushed the limit more far yet ;-) -- this is what we were able to announce a year ago, during OOW2014.

Since then, an important work was made in MySQL 5.7 code to resolve all known contentions on the "server" side to let InnoDB run on a full speed without limits.. The work was done, but no one from our LAB servers was able to show the potential benefit of all these changes.. - in fact our servers became too old over a time, and it was no more clear what is the real limit of 5.7 and how far we can go today..

So, we started to look for our HW upgrade, and Intel new CPU chips were announced exactly on time (see -- sounds really good "57-billion-transistors" for MySQL 5.7 ;-)) -- and finally in collaboration with Intel we were able to get our hands on our new server with these new CPUs pretty quickly ;-)

Note :

  • the server we used is exactly the same as we have with 32cores-HT and 40cores-HT
  • same 4CPU sockets, etc.
  • just that per CPU socket we got 18cores-HT now (instead of 8 or 10 before)
  • and a slightly higher CPU frequency - 2.5Ghz instead of previous 2.3Ghz
  • however, the difference is not only in the number of cores and CPU frequency ;-)
  • the chip itself is really much more powerful !..
  • NOTE: this CPU chips are already widely comercially available and from a long time ready for production
  • (e.g. I'm not telling you here something new ;-))

Used HW config :
 Intel(R) Xeon(R) CPU E7-8890 v3 (codename Haswell-EX)
 4 CPU sockets x 18 cores-HT (144 CPU threads)
 2.5 Ghz, 512GB RAM
 Linux kernel 3.16

well, a long story short -- here is the QPS graph with the results I've obtained on this machine :

So, yes, our new record is over 1.6M QPS of true SQL queries !!!!! ;-))
(same OLTP_RO Point-Selects as before, same conditions, etc.)

And this is really killing! ;-))

NOTE: from profiler stats I've monitored this is still NOT a limit !!! we're scaling on such kind of workloads perfectly well! -- the limit is just a CPU time..

NOTE: this is near x2.5 times better -vs- 40cores-HT the best 5.7 results, so it's pretty amazing to see such a huge progress on Intel chips (40cores is 2.3Ghz, 72cores is 2.5Ghz, but it's not just frequency and amount of CPU cores)...

NOTE: all other RO results are also mostly x2.5 times better ;-))

An this was yet in August 2015..

Let's see now how well can scale today other vendors on this server and the same workload.

Sysbench RO Point-Selects 1M x 8-tables 72cores-HT :

Observations :
  • MySQL 5.7 is simply x3 times better than any other..
  • no comments ;-)

Now, what about scalability? (each Engine is now running only on 1, then 2, then all 4CPU sockets)

MySQL 5.7 Scalability @Sysbench RO Point-Selects 1M x 8-tables 72cores-HT :

MySQL 5.5 Scalability @Sysbench RO Point-Selects 1M x 8-tables 72cores-HT :

MySQL 5.6 Scalability @Sysbench RO Point-Selects 1M x 8-tables 72cores-HT :

Percona Server 5.6 Scalability @Sysbench RO Point-Selects 1M x 8-tables 72cores-HT :

MariaDB 10.1 Scalability @Sysbench RO Point-Selects 1M x 8-tables 72cores-HT :

  • MySQL 5.7 is showing a near perfect scalability up to 72cores-HT on 4CPU sockets
  • no one of other engines not scaling even up to 2CPU sockets (32cores-HT)
  • interesting that MySQL 5.6 and Percona 5.6 are able to out-pass 500K QPS here
  • not MariaDB 10.1

Well, now what if you have a single table hot in your workload? -- this was from a long time a very painful problem in MySQL, which is finally completely resolved with MySQL 5.7 :
Sysbench RO Point-Selects 10M x 1-table 72cores-HT :
Observations :
  • near the same performance on MySQL 5.7 on one 10M table as on 8x 1M tables
  • cannot say the same about others: something like 20% regression everywhere..
  • NOTE: x8 Sysbench processes are running here in parallel to get a rid of Sysbench's own contentions.

And scalability?

MySQL 5.7 Scalability @Sysbench RO Point-Selects 10M x 1-table 72cores-HT :

MySQL 5.5 Scalability @Sysbench RO Point-Selects 10M x 1-table 72cores-HT :

MySQL 5.6 Scalability @Sysbench RO Point-Selects 10M x 1-table 72cores-HT :

Percona Server 5.6 Scalability @Sysbench RO Point-Selects 10M x 1-table 72cores-HT :

MariaDB 10.1 Scalability @Sysbench RO Point-Selects 10M x 1-table 72cores-HT :

No comments ;-)

Now, let's get a look on impact of this new Intel CPU..

MySQL 5.7 Scalability @Sysbench RO Point-Selects 1M x 8-tables :

Observations :
  • it's amazing to see how the gap is big...
  • NOTE: even on 8 concurrent users the result is near x2 times better than on any other server..
  • killing.. ;-)

MySQL 5.7 Scalability @Sysbench RO Point-Selects 10M x 1-table :

Same here..

Well, it's really amazing to see here that on the new CPU with 2 sockets (36cores-HT) I'm way faster than on 40cores-HT (4 sockets) before.. -- seems to me we should be prepared to see a lot of changes in MySQL Performance with these CPU chips..

Few more details about the presented test :
  • I've used exactly the same config params as mentioned 2 years ago (see:
  • each engine as before was tested with tuned spin wait delay= 6/ 96 (helps a lot to lower InnoDB contentions here)
  • the best obtained results is used then for each load level
  • exactly the same Sysbench binaries as before, same scripts, etc..
  • just that the MySQL 5.7 version is the latest one ;-)
  • NOTE: for my curiosity I've also tested older 5.7 binaries as well.. -- no one was able to reach 1.6M QPS, and some even not reached 1M.. -- this is just to make it clear: we're reaching 1.6M QPS not just because the HW is better ;-))
  • MySQL 5.7 is really scaling much more far here (and you need the latest version)

 table_open_cache = 8000

# files
 innodb_log_files_in_group = 3

# buffers

# innodb
 innodb_stats_persistent = 1
 innodb_spin_wait_delay= 6 / 96

# perf special
 innodb_adaptive_flushing = 1
 innodb_flush_neighbors = 0
 innodb_read_io_threads = 4
 innodb_write_io_threads = 4
 innodb_io_capacity = 4000

# monitoring
 innodb_monitor_enable = '%'

in case you need it, Linux Sysbench binaries available from here :

NOTE: interesting that on this server using different Sysbench binaries did not show any difference, while using UNIX socket is still faster -vs- IP port for this workload..

The Sysbench command used to run Point-Selects test via UNIX socket (starting 8 processes in parallel):
LD_PRELOAD=/usr/lib64/ /BMK/sysbench --num-threads=$1 --test=oltp --oltp-table-size=1000000 \
--oltp-dist-type=uniform --oltp-table-name=sbtest_1M_$n \

--max-requests=0 --max-time=$2 --mysql-socket=/SSD_raid0/mysql.sock \
--mysql-user=dim --mysql-password=dim --mysql-db=sysbench \
--mysql-table-engine=INNODB  --db-driver=mysql \
--oltp-point-selects=1 --oltp-simple-ranges=0 --oltp-sum-ranges=0 \
--oltp-order-ranges=0 --oltp-distinct-ranges=0 --oltp-skip-trx=on \
--oltp-read-only=on run  > /tmp/test_$n.log &

The Sysbench command used to run Point-Selects test via IP port (starting 8 processes in parallel):
LD_PRELOAD=/usr/lib64/ /BMK/sysbench --num-threads=$1 --test=oltp --oltp-table-size=1000000 \
--oltp-dist-type=uniform --oltp-table-name=sbtest_1M_$n \

--max-requests=0 --max-time=$2 --mysql-host= --mysql-port=5700 \
--mysql-user=dim --mysql-password=dim --mysql-db=sysbench \
--mysql-table-engine=INNODB  --db-driver=mysql \
--oltp-point-selects=1 --oltp-simple-ranges=0 --oltp-sum-ranges=0 \
--oltp-order-ranges=0 --oltp-distinct-ranges=0 --oltp-skip-trx=on \
--oltp-read-only=on run  > /tmp/test_$n.log &

What else to say? Still hard to believe, but seems like we're entering completely new levels in MySQL Performance...

Kudos MySQL & Intel Teams !!! ;-)

So far, I have much more yet details to share with all other testings already previewed on  as well, hope to publish them very soon, stay tuned ;-))

NOTE: if you're looking for some live news
  • come to reach me during my tomorrow's talk on MySQL Connect @OOW2015 about MySQL Performance ("MySQL Performance: Demystified Tuning and Best Practices", Moscone South—262, 10/27/15, 17:15 - 18:00) [Slides: PDF  ]
  • or meet all of us during BOF "Meet MySQL Team" or MySQL Community Reception (Tuesday, Oct 27 @ 7:00 PM - 9:00 PM | Jillian's at Metreon) just after my talk ;-))

Posted by Dimitri at 20:58 - Comments...
Categories: MySQL

Monday, 21 September, 2015

Speaking about MySQL 5.7 Performance at #PerconaLive Amsterdam 2015

I may only admit that #PerconaLive Conference becomes only better and better year to year. And I'm happy to be there and have an occasion to tell you all the latest news about MySQL 5.7 Performance as it for today..

And of course, if we're speaking about benchmarks, I'll not speak only about MySQL 5.7, I'll not miss either Percona Server 5.6 and MariaDB 10.1 ;-) -- hope to publish all these results later, over a time.. I've realized that I'm blogging less this year -- most of the time is going today to dig the performance problems we're hitting and looking for real solutions for them. Hope to get both fixed soon ;-) While during the conference, please, don't hesitate to ask questions and report your problems -- many persons from #MySQLTeam will be there, so be sure you'll be listened! And if you will don't miss their talks as well - this way you'll don't miss them for sure ;-)

Well, time to leave a sunny Paris..

And join a sunny Amsterdam ;-)

But who cares about weather ? ;-)
Day #1 is ready to start..

My talk is on Wednesday, just before a lunch. So, please, come hungry (for questions and sharing I mean ;-))

UPDATE : the slides from my talk are now available from here :


Posted by Dimitri at 4:20 - Comments...
Categories: MySQL, secondary