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Displaying posts with tag: sun (reset)
MySQL 5.4 Scaling on Nehalem with Sysbench

As a final followup to my MySQL 5.4 Scalability on 64-way CMT Servers blog, I'm posting MySQL 5.4 Sysbench results on a Sun Fire X4270 platform using the Intel x86 Nehalem chip (2 sockets/8 cores/16 threads). All CPUs were turned on during the runs. The my.cnf was the same as described in the previous blog.

The Sysbench version used was 0.4.12, and the read-only runs were invoked with the following command:

sysbench --max-time=300 --max-requests=0 --test=oltp --oltp-dist-type=special --oltp-table-size=10000000 \
   --oltp-read-only=on --num-threads=[NO_THREADS] run

The "oltp-read-only=on" parameter was omitted for the read-write tests. The my.cnf file listed in my previous blog was also used unchanged for these tests.

Here are the results graphically running on Linux.

The read-only results for MySQL 5.4 show a higher …

[Read more]
MySQL 5.4 Sysbench Scalability on 64-way CMT Servers

As a followup to my MySQL 5.4 Scalability on 64-way CMT Servers blog, I'm posting MySQL 5.4 Sysbench results on the same platform. The tests were carried out using the same basic approach (i.e. turning off entire cores at a time) - see my previous blog for more details.

The Sysbench version used was 0.4.8, and the read-only runs were invoked with the following command:

sysbench --max-time=300 --max-requests=0 --test=oltp --oltp-dist-type=special --oltp-table-size=10000000 \
   --oltp-read-only=on --num-threads=[NO_THREADS] run

The "oltp-read-only=on" parameter was omitted for the read-write tests. The my.cnf file listed in my previous blog was also used unchanged for these tests.

Here is the data presented graphically. Note that the number of vCPUs is the same as the number of active threads up to 64. Active threads beyond …

[Read more]
MySQL 5.4 Scalability on 64-way CMT Servers

Today Sun Microsystems announced MySQL 5.4, a release that focuses on performance and scalability. For a long time it's been possible to escape the confines of a single system with MySQL, thanks to scale-out technologies like replication and sharding. But it ought to be possible to scale-up efficiently as well - to fully utilize the CPU resource on a server with a single instance.

MySQL 5.4 takes a stride in that direction. It features a number of performance and scalability fixes, including the justifiably-famous Google SMP patch along with a range of other fixes. And there's plenty more to come in future releases. For specifics about the MySQL 5.4 fixes, check out Mikael Ronstrom's blog.

So how well does MySQL 5.4 scale? To help answer the question I'm going to take a look at some performance data from one of Sun's CMT systems based on the UltraSPARC T2 chip. This …

[Read more]
What hasn’t changed with MySQL

Jetlagged from transatlantic travel, I woke up in the middle of the Californian night thinking about what has changed since I arrived at the MySQL Conference in Santa Clara on Sunday evening. I was pondering all the questions MySQL users and Sun colleagues were asking at the event, and what the user base was thinking out loud on Twitter yesterday.

What has changed is obviously that Sun Microsystems and Oracle announced they have entered into a definitive agreement under which Oracle will acquire Sun.

What further changes we will see as a result of that is a different story. Evidently, I don’t sit in with a crystal ball predicting what will happen next. Nor do I have insight into Oracle’s plans for MySQL, …

[Read more]
MySQL 5.4 Scaling on Nehalem with Sysbench

As a final followup to my MySQL 5.4 Scalability on 64-way CMT Servers blog, I'm posting MySQL 5.4 Sysbench results on a Sun Fire X4270 platform using the Intel x86 Nehalem chip (2 sockets/8 cores/16 threads). All CPUs were turned on during the runs. The my.cnf was the same as described in the previous blog.

The Sysbench version used was 0.4.12, and the read-only runs were invoked with the following command:

sysbench --max-time=300 --max-requests=0 --test=oltp --oltp-dist-type=special --oltp-table-size=10000000 \\
   --oltp-read-only=on --num-threads=[NO_THREADS] run

The "oltp-read-only=on" parameter was omitted for the read-write tests. The my.cnf file listed in my previous blog was also used unchanged for these tests.

Here are the results graphically running on Linux.

The read-only results for MySQL 5.4 show a higher …

[Read more]
MySQL 5.4 Scaling on Nehalem with Sysbench

As a final followup to my MySQL 5.4 Scalability on 64-way CMT Servers blog, I'm posting MySQL 5.4 Sysbench results on a Sun Fire X4270 platform using the Intel x86 Nehalem chip (2 sockets/8 cores/16 threads). All CPUs were turned on during the runs. The my.cnf was the same as described in the previous blog.

The Sysbench version used was 0.4.12, and the read-only runs were invoked with the following command:

sysbench --max-time=300 --max-requests=0 --test=oltp --oltp-dist-type=special --oltp-table-size=10000000 \\
   --oltp-read-only=on --num-threads=[NO_THREADS] run

The "oltp-read-only=on" parameter was omitted for the read-write tests. The my.cnf file listed in my previous blog was also used unchanged for these tests.

Here are the results graphically running on Linux.

The read-only results for MySQL 5.4 show a higher …

[Read more]
MySQL 5.4 Sysbench Scalability on 64-way CMT Servers

As a followup to my MySQL 5.4 Scalability on 64-way CMT Servers blog, I'm posting MySQL 5.4 Sysbench results on the same platform. The tests were carried out using the same basic approach (i.e. turning off entire cores at a time) - see my previous blog for more details.

The Sysbench version used was 0.4.8, and the read-only runs were invoked with the following command:

sysbench --max-time=300 --max-requests=0 --test=oltp --oltp-dist-type=special --oltp-table-size=10000000 \\
   --oltp-read-only=on --num-threads=[NO_THREADS] run

The "oltp-read-only=on" parameter was omitted for the read-write tests. The my.cnf file listed in my previous blog was also used unchanged for these tests.

Here is the data presented graphically. Note that the number of vCPUs is the same as the number of active threads up to 64. Active threads beyond …

[Read more]
MySQL 5.4 Sysbench Scalability on 64-way CMT Servers

As a followup to my MySQL 5.4 Scalability on 64-way CMT Servers blog, I'm posting MySQL 5.4 Sysbench results on the same platform. The tests were carried out using the same basic approach (i.e. turning off entire cores at a time) - see my previous blog for more details.

The Sysbench version used was 0.4.8, and the read-only runs were invoked with the following command:

sysbench --max-time=300 --max-requests=0 --test=oltp --oltp-dist-type=special --oltp-table-size=10000000 \\
   --oltp-read-only=on --num-threads=[NO_THREADS] run

The "oltp-read-only=on" parameter was omitted for the read-write tests. The my.cnf file listed in my previous blog was also used unchanged for these tests.

Here is the data presented graphically. Note that the number of vCPUs is the same as the number of active threads up to 64. Active threads beyond …

[Read more]
MySQL 5.4 Scalability on 64-way CMT Servers

Today Sun Microsystems announced MySQL 5.4, a release that focuses on performance and scalability. For a long time it's been possible to escape the confines of a single system with MySQL, thanks to scale-out technologies like replication and sharding. But it ought to be possible to scale-up efficiently as well - to fully utilize the CPU resource on a server with a single instance.

MySQL 5.4 takes a stride in that direction. It features a number of performance and scalability fixes, including the justifiably-famous Google SMP patch along with a range of other fixes. And there's plenty more to come in future releases. For specifics about the MySQL 5.4 fixes, check out Mikael Ronstrom's blog.

So how well does MySQL 5.4 scale? To help answer the question I'm going to take a look at some performance data from one of Sun's CMT systems based on the UltraSPARC T2 chip. This …

[Read more]
MySQL 5.4 Scalability on 64-way CMT Servers

Today Sun Microsystems announced MySQL 5.4, a release that focuses on performance and scalability. For a long time it's been possible to escape the confines of a single system with MySQL, thanks to scale-out technologies like replication and sharding. But it ought to be possible to scale-up efficiently as well - to fully utilize the CPU resource on a server with a single instance.

MySQL 5.4 takes a stride in that direction. It features a number of performance and scalability fixes, including the justifiably-famous Google SMP patch along with a range of other fixes. And there's plenty more to come in future releases. For specifics about the MySQL 5.4 fixes, check out Mikael Ronstrom's blog.

So how well does MySQL 5.4 scale? To help answer the question I'm going to take a look at some performance data from one of Sun's CMT systems based on the UltraSPARC T2 chip. This …

[Read more]
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