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On MySQL and Intel Optane Performance

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On MySQL and Intel Optane Performance

Let's take a look at and explore the performance of MySQL 8, MySQL 5.7, and Percona server for MySQL.

· Database Zone ·
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Recently, Dimitri published the results of measuring MySQL 8.0 on Intel Optane storage device. In this article, I wanted to look at this in more detail and explore the performance of MySQL 8, MySQL 5.7, and Percona Server for MySQL using a similar setup. The Intel Optane is a very capable device, so I was puzzled that Dimitri chose MySQL options that are either not safe or not recommended for production workloads.

Since we have an Intel Optane in our labs, I wanted to run a similar benchmark, but using settings that we would recommend our customers to use, namely:

  • use innodb_checksum
  • use innodb_doublewrite
  • use binary logs with sync_binlog=1
  • enable (by default) Performance Schema

I still used charset=latin1 (even though the default is utf8mb4 in MySQL 8), and I set a total size of InnoDB log files to 30GB (as in Dimitri's benchmark). This setting allocates big InnoDB log files to ensure there is no pressure from adaptive flushing. Though I have concerns about how it works in MySQL 8, this is a topic for another research.

So, let's see how MySQL 8.0 performed with these settings and compare it with MySQL 5.7 and Percona Server for MySQL 5.7.

I used an Intel Optane SSD 905P 960GB device on the server with 2 socket Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz CPUs.

To highlight the performance difference I wanted to show, I used a single case: sysbench 8 tables 50M rows each (which is about ~120GB of data) and buffer pool 32GB. I ran sysbench oltp_read_write in 128 threads.

First, let's review the results for MySQL 8 vs MySQL 5.7

After achieving a steady state, we can see that MySQL 8 does not have ANY performance improvements over MySQL 5.7.

Let's compare this with Percona Server for MySQL 5.7

Percona Server for MySQL 5.7 shows about 60% performance improvement over both MySQL 5.7 and MySQL 8.

How did we achieve this? All our improvements are described here.

In short:

  1. Parallel doublewrite. In both MySQL 5.7 and MySQL 8, writes are serialized by writing to doublewrite.
  2. Multi-threaded LRU flusher. We reported and proposed a solution here, however, Oracle has not incorporated the solution upstream.
  3. Single page eviction. This is another problematic area in MySQL's flushing algorithm. The bug was reported over 2 years ago, but unfortunately, it's still overlooked.

Summarizing performance findings:

  • For Percona Server for MySQL during this workload, I observed 1.4 GB/sec reads and 815 MB/sec writes
  • For MySQL 5.7 and MySQL 8, the numbers are 824 MB/sec reads and 530 MB/sec writes.

My opinion is that Oracle focused on addressing the wrong performance problems in MySQL 8 and did not address the real issues. In this benchmark, using real production settings, MySQL 8 does not show any significant performance benefits over MySQL 5.7 for workloads characterized by heavy IO writes.

With this, I should admit that Intel Optane is a very performant storage. By comparison, on Intel 3600 SSD under the same workload, for Percona Server I am able to achieve only 2000 tps, which is 2.5x times slower than with Intel Optane.

Drawing Some Conclusions

There are a few outcomes I can highlight:

  • Intel Optane is a very capable drive, and it is easily the fastest of those we've tested so far.
  • MySQL 8 is not able to utilize all the power of Intel Optane unless you use unsafe settings (which to me is the equivalent of driving 200 MPH on a highway without working brakes).
  • Oracle has focused on addressing the wrong IO bottlenecks and has overlooked the real ones.
  • To get all the benefits of Intel Optane performance, use a proper server-Percona Server for MySQL, which is able to utilize more IOPS from the device.

Compliant Database DevOps and the role of DevSecOps DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it addresses increasing demands for data privacy. But what about the database? How can databases be included in both DevOps and DevSecOps? What additional measures should be considered to achieve truly compliant database DevOps? This whitepaper provides a valuable insight. Get the whitepaper

Topics:
database ,mysql ,intel ,comparison

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