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Displaying posts with tag: Performance (reset)
TokuDB benchmark on PCIe

MariaDB TokuDB benchmark on FusionIO ,Compare TokuDB and InnoDB engines.

read: TokuDB_benchmark

MariaDB 10.1 can do 1 million queries per second

MariaDB 10.1 not only contains tons of new features, it has also been polished to deliver top performance. The biggest improvement has been achieved for scalability on massively multithreaded hardware.

The following numbers show the throughput for a simplified sysbench OLTP benchmark on MariaDB-10.1.8 compared to MariaDB-10.0.21:

OLTP clients MariaDB-10.0.21 MariaDB-10.1.8 increase
160 398124 930778 135%
200 397102 1024311 159%
240 395661 1108756 181%
320
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How We Partitioned Airbnb’s Main Database in Two Weeks

“Scaling = replacing all components of a car while driving it at 100mph”

– Mike Krieger, Instagram Co-founder @ Airbnb OpenAir 2015

Airbnb peak traffic grows at a rate of 3.5x per year, with a seasonal summer peak.

Heading into the 2015 summer travel season, the infrastructure team at Airbnb was hard at work scaling our databases to handle the expected record summer traffic. One particularly impactful project aimed to partition certain tables by application function onto their own database, which typically would require a significant engineering investment in the form of application layer changes, data migration, and robust testing to guarantee data consistency with minimal downtime. In an attempt to save weeks of …

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MySQL 5.7 : Playing with mysqlpump

MySQL 5.7 comes with a new backup tool, named mysqlpump, which is almost the same as mysqldump with the ability of extracting data in parallel threads.

I tried a little experiment. Using a server containing 11 databases, with a total of 300 tables and about 20 million rows (roughly ≈ 10GB,) I used both mysqldump and mysqlpump to get a backup.

mysqldump --all-databases  > dump.sql
mysqlpump --all-databases \
--add-drop-database --add-drop-table --skip-watch-progress \
--default-parallelism=10 \
--parallel-schemas=db,db1,db2 \
--parallel-schemas=db3,db4,db5 \
--parallel-schemas=db6,db7,db8 \
--parallel-schemas=db9,db10 > pump.sql

The backup with mysqldump took 3 minutes and 33 seconds. The one with mysqlpump took 2 minutes and 55 …

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MySQL 5.7 Labs — Using Loopback Fast Path With Windows 8/2012

TCP Loopback fast path

In Windows 8 and Windows server 2012, Microsoft introduced a new “TCP Loopback fast path” feature (see the Microsoft Technet article: Fast TCP Loopback Performance and Low Latency with Windows Server 2012 TCP Loopback Fast Path).…

MySQL inline query versus stored procedure comparison

Simple query using group clause for 1 million records resulting in final list of 27 records.

First time takes 0.43053775 secs.
Same query through Stored procedure: First time takes 0.43341600 secs.

So in terms of time, first time they are very close.
Profiling comparison for both can be seen in below figure no_cache_comparison.png where left one is simple inline query and right one is stored procedure query.




There are some actions which are extra in the inline query:

1. freeing items
2. logging slow query
3. cleaning up

Running both second time retrieve data from cache …

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Changed defaults between MySQL 5.6 and 5.7

MySQL 5.7 comes with many changes. Some of them are better explained than others.

I wanted to see how many changes I could get by comparing SHOW VARIABLES in MySQL 5.6 and 5.7.
The most notable ones are:

  • binlog_format: the default is now ROW. This variable affects the format of the binary log, whether you use it as a backup complement or for replication, the change means bigger binary logs and possibly side effects.
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What Makes the MySQL Audit Plugin API Special?

Why Should I Be Reading This?

To better understand how the MySQL Server functions, how to monitor the relevant server events, and find out what’s new in MySQL 5.7.8.

What’s Special About the Audit Plugin API?

Picking the right API for your new plugin is probably the most important design decision a plugin author will need to make.…

Improving the Performance of MySQL on Windows

In this blog entry I’d like to describe how you might be able to improve how MySQL performs on Windows by ensuring that you take advantage of a Windows specific configuration setting.

On Unix systems, MySQL programs treat the localhost host name specially. For connections to localhost, MySQL programs attempt to connect to the local server by using a Unix socket file, which has some performance advantages over a TCP/IP connection. Windows does not support Unix sockets, however, and hence does not benefit from this optimisation.

However, the use of shared memory connections on Windows can offer significant performance improvements over the use of TCP/IP connections. Shared memory connections are obviously only useful when both the MySQL client and server processes are executing on the same machine, but when …

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More Cores or Higher Clock Speed?

This is a little quiz (could be a discussion). I know what we tend to prefer (and why), but we’re interested in hearing additional and other opinions!

Given the way MySQL/MariaDB is architected, what would you prefer to see in a new server, more cores or higher clock speed? (presuming other factors such as CPU caches and memory access speed are identical).

For example, you might have a choice between

  • 2x 2.4GHz 6 core, or
  • 2x 3.0GHz 4 core

which option would you pick for a (dedicated) MySQL/MariaDB server, and why?

And, do you regard the “total speed” (N cores * GHz) as relevant in the decision process? If so, when and to what degree?

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