mysql performance tuning parameters

Some small aspects of database Performance tuning:1. 1 Performance IndexDatabase performance is generally measured in two metrics: response time and throughput. The faster the response, the greater the throughput and the better the database performance. Response time and thr

########################cat/proc/sys/vm/min_free_kbytes # Default value:45056# function: Keep the lowest available memory vm.min_free_kbytes=1048576########################cat/proc/sys/ vm/swappiness# Default value:60# effect: The higher the value (0-100), the more likely the swap Exchange vm.swappiness=20 "FS" ######################## cat/proc/sys/fs/inotify/max_user_watches# Default value:8192# effect: INotify Watch Count Fs.inotify.max_ user_watches=8192000########################cat/proc/sys

rate is too high is not continue to decline). The attenuation learning rate can be adopted, and the learning rate is gradually attenuated with the training. Take 0.5. For example, when Val loss meet No-improvement rules, should have taken early stopping, but can not stop, but let learning rate half continue to run. So repeatedly. Attenuation methods are: attenuation to a fixed minimum learning rate linear attenuation, exponential decay, or 2-10 times as much attenuation per Val loss stagnation.

MySQL is a powerful open source database. With more and more database-driven applications, people have been pushing MySQL to its limits. Here are 101 tips for adjusting and optimizing MySQL installation. Some of the tricks are specific to the installation environment, but these ideas are generic. I've divided them into several categories to help you learn more ab

the performance of ES. At the same time, assuming that the machine 1 has a routing attribute a document, Machine 2 has a routing attribute B document, then I in the query when the target route attribute is a, even if the machine 2 failure paralysis, the machine 1 structure is not a great influence, so do the query under the disaster situation also proposed a solution. The so-called route, in essence, is a split-bucket (bucketing) operation. Of course

The common JVM parameters are as follows-xmx1024m: Sets the maximum available memory for the JVM to 1024M.-xms1024m: Set the JVM to drive memory to 1024m. This value can be set to the same as-xmx to avoid the JVM reallocating memory after each garbage collection completes.-XMN512M: Set the young generation size to 512m. The entire JVM memory size = younger generation size + old generation size + persistent generation size. The permanent average fixed

, that is, the so-called "know each other, the victorious" principle.Purchase Address:http://www.china-pub.com/3501136Course Requirements 1. Have a strong interest in performance testing.2. Need a certain programming foundation, can read basic C language code can. But need to have certain self-study ability, this is the performance completes the performance test

In general, MySQL optimization can be divided into two levels: one is Optimization at the MySQL level, such as SQL rewriting, index addition, and configuration of various MySQL parameters; the other layer is the operating system and hardware. Operating system-level optimization in general,

BEA WebLogic jrockit usage and Performance Tuning 1. Introduction to jrockit OptimizationJrockit is an adaptive JVM that can automatically adjust itself to adapt to the underlying hardware. Therefore, its optimization is mainly focused on parameters that require manual intervention, such: the number of Ram resources to be allocated to jrockit. Jrockit has a set o

;Most disk configurations are based on capacity requirements rather than performance;The cheapest solution may be a small number of large-capacity disks;The second most common problem is having too handle logical disks on the same array.This increases seek time and significantly lowers performance.The disk subsystem is discussed in 4.6, "Tuning the disk subsystem" on page 112.The second common problem is th