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Displaying posts with tag: Hardware (reset)
[JKDB] BACKUP AND RESTORE

JKDB PLATFORM – our company’s data management platform

In this post, we introduce backup-restore module,focus on automatic backup and restore in a huge MySQL database environment.

Read this PDF: JKDB:BACKUP-RESTORE

Using NVMe Command Line Tools to Check NVMe Flash Health

In this blog post, I’ll look at the types of NVMe flash health information you can get from using the NVMe command line tools.

Checking SATA-based drive health is easy. Whether it’s an SSD or older spinning drive, you can use the

smartctl

 command to get a wealth of information about the device’s performance and health. As an example:

root@blinky:/var/lib/mysql# smartctl -A /dev/sda
smartctl 6.5 2016-01-24 r4214 [x86_64-linux-4.4.0-62-generic] (local build)
Copyright (C) 2002-16, Bruce Allen, Christian Franke, www.smartmontools.org
=== START OF READ SMART DATA SECTION ===
SMART Attributes Data Structure revision number: 16
Vendor Specific SMART Attributes with Thresholds:
ID# ATTRIBUTE_NAME          FLAG     VALUE WORST THRESH TYPE      UPDATED  WHEN_FAILED RAW_VALUE
 1 Raw_Read_Error_Rate     0x002f   100   100   000 …
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MySQL TCPCOPY

we use tcpcopy to make real traffic on our core systems. Many problems will be found in advance if we enlarge queries several times.

Read this PDF TCPCOPY

Infiniflash Benchmark

Sandisk (FusionIO) and Nexenta are working together to build this SDS solution.

Infiniflash is a very large SDS production, which manages for very large DW system who requires large storage space and also high IOPS.

We test infiniflash system ,read this Infiniflash_benchmark

MySQL distributed message system

Based on messages, we create mysql replication platforms , using async message to build strong distributed subscription system.

read this PDF : http://www.vmcd.org/docs/MySQL_async_message.pdf

LLC-Technologies-Collier/Demo-SCCC-Byte-AngularJS

Hello dear readers and attendees,

This is the post that I will be/ will have been referencing during my presentation to the Seattle Central Community College’s Byte club on Thursday, December 10th at 1500-1630.

I will begin with a bit of an autobio and find out what kind of students we have in attendance. Please feel free to comment if you’d like to keep in touch before or after the presentation. I will discuss some of the bits and pieces of some industry standard platforms which I’ve developed, deployed, maintained, managed, co-operated, administered and replaced. We can discuss some of the patterns that work well in the industry, and some that are a bit harder to tame.

Once we have touched most of the areas of specialization represented at the meeting, I will dive in to an AngularJS demo I am developing in github here:

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TokuDB benchmark on PCIe

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

read: TokuDB_benchmark

NVMFS Supports Atomic Writes

Benchmark for NVMFS (supports atomic writes ,so we can close double-write option on specific MySQL version )

tips: some Flash-based cards could support large block map , the main idea is to avoid fractured page writes.

http://www.vmcd.org/docs/nvmfs_benchmark.pdf

How to Purchase [Benchmarking] Hardware on a Budget

One of my goals at Acmebenchmarking is make sure I'm running on hardware that is representative of real-world infrastructure, while at the same time doing it as inexpensively as possible.

To date I've been running on two custom built "desktops" (for lack of a better term). Both have an Intel Core i7 4790K processor (quad core plus hyperthreading, 4Ghz), 32GB RAM (dual channel), and a quality SSD. They are named acmebench01 and acmebench02.

Alas, it is time to expand. MUST...PURCHASE...MORE...HARDWARE!

In order to maintain the inexpensive theme I tend to buy used hardware, my goal on this purchase was to achieve many more cores and greater memory bandwidth than my existing machines can provide. Keep in mind that used hardware is great for benchmarking (and likely development and QA environments) but you might want to avoid it for production. For years now I've been purchasing used hardware …

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How to improve InnoDB performance by 55% for write-bound loads

During April’s Percona Live MySQL Conference and Expo 2014, I attended a talk on MySQL 5.7 performance an scalability given by Dimitri Kravtchuk, the Oracle MySQL benchmark specialist. He mentioned at some point that the InnoDB double write buffer was a real performance killer. For the ones that don’t know what the innodb double write buffer is, it is a disk buffer were pages are written before being written to the actual data file. Upon restart, pages in the double write buffer are rewritten to their data files if complete. This is to avoid data file corruption with half written pages. I knew it has an impact on performance, on ZFS since it is transactional I always disable it, but I never realized how important the performance impact could be. Back from PLMCE, a friend had dropped home a Dell R320 server, asking …

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