Is MySQL optimize table request safe to use during write operations and in replication enviorement?

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP


Is MySQL optimize table request safe to use during write operations and in replication enviorement?



I have MySQL DB with up to 300 InnoDB tables with similar structure each has about 700k rows and size around 160M in normal case. This tables are independent of each other and has no foreign keys.



This tables are intensively used for RW operations the table usage pattern looks like this:



After a few month the DB performance has dropped significantly. After investigation the problem was found: the table files has grown large and occupied about 300M of disk space each. After running manual table optimization the problem was solved but in a few weeks the DB performance started to degrade again.



As a solution to keep DB healthy the OPTIMIZE TABLE request was added after each data removal.



The questions are:









By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.

-

Popular posts from this blog

Arduino Mega cannot recieve any sketches, stk500_recv() programmer is not responding

Image
Clash Royale CLAN TAG #URR8PPP Arduino Mega cannot recieve any sketches, stk500_recv() programmer is not responding Yesterday we were trying to update the firmware of our 3D-printer a Tevo Tarantula i3 The printer was running Marlin 3D Printer Firmware. We installed a new module a TL-Touch Sensor, a chinese copy of the Bl-Touch an auto bedleveling touch sensor for a 3D printer. After re-configurating a new version of the firmware for our setup in the Arduino IDE we went on with uploading the sketch to the Arduino Mega that was controling our 3D printer. Before we started uploading we made sure the right COM-port was selected in the Arduino IDE and that also the right type of Arduino was selected. The Arduino Mega 2260. Then we started with compiling the firmware and then uploading it to the Mega, Somewhere in between that moment the IDE freezed and crashed. As a response we removed the USB cable that was connected from the PC uploading the firmware onto the Arduino Mega, (This was a st...
Read more

Visual Studio Code: How to configure includePath for better IntelliSense results

Image
Clash Royale CLAN TAG #URR8PPP Visual Studio Code: How to configure includePath for better IntelliSense results so I am a complete beginner to using Visual Studio Code and I have no clue what I am doing. I've searched around (maybe not enough), but I cant find just a simple explanation for someone like me on how to configure the c_cpp_properties.json file that I am redirected to whenever I click on the yellow lightbulb next to a line that is underlined with a green squiggle. Lightbulb example c_cpp_properties.json I just want to know what to put in the .json to make IntelliSense work properly This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. 2 Answers 2 From: https://code.visualstudio.com/docs/languages/cpp Below you can see that the MinGW C++ include path has been added to browse.path for Windows: { "name": "Win32...
Read more

Future solutions

Image
Clash Royale CLAN TAG #URR8PPP Future solutions I am working with a large data set, which I use to make certain calculations. Since it is a huge data set, my machine, I am working on, is doing the job excessively long, for this reason I decided to use the future package in order to distribute the work between several machines and speed up the calculations. So, my problem is that through the future (using putty & ssh) I can connect to those machines (in parallel), but the work itself is doing the main one, without any distribution. Maybe you can advice some solution: My code: library(future) workers <- c("000.000.0.000", "111.111.1.111") plan(remote, envir = parent.frame(), workers= workers, myip = "222.222.2.22") start <- proc.time() cl <- makeClusterPSOCK( c("000.000.0.000", "111.111.1.111"), user = "...", rshcmd = c("plink", "-ssh", "-pw", "..."), rshopts = c("-i...
Read more