vmware view slow performance

When I joined EMC world many years ago, I had the privilege of talking to Chuck Hollis and WMware about a very interesting thing. They wanted to take advantage of local storage resources that were not exploited in ESX hosts. Instead of simply keeping the ESX boot image, they want the entire ESX cluster to be able to use these resources. We also talked about a similar clustered file system that can protect data across ESX hosts. When I said that the disks were too

Tags: statistics impact receive process blog End Agent Dynamic AtimeA Linux server Performance View 1.1 CPU Performance View 1, view the number of physical CPUs:cat /proc/cpuinfo |grep "physical id"|sort|uniq|wc -l2. View the numb

Global long_query_time=0.1; #设置大于0.1s SQL statements recorded, I did not succeed in the experiment Results: The slow query log is turned on as follows: To view slow log configuration conditions: Mysql> show VARIABLES like "%slow%";+---------------------------+-------------------------------+| variable_name | Value |+-

Linux Performance View Commands: Linux Performance monitoring: CPU Chapter CPU usage depends largely on what resources are running on the CPU, such as copying a file that usually takes up less CPU, because most of the work is done by DMA (Direct Memory Access), but only after the copy has been completed. Let the CPU know that the copy is complete Scientific calc

"to find out the course number for each student who has obtained the highest grade". You can define a view to find the highest score for each student:CREATE VIEW Vmgrade asSELECT Sno,max (Grade) MgradeFrom SCGROUP by Sno;then complete the query with the following query statement:SELECT SC. Sno,cno from Sc,vmgrade WHERE SC. Sno = Vmgrade. Sno and SC. Grade = Vmgrade. Mgrade;MySQL

Metrics to measure CPU performance:1, the user uses the CPU situation;CPU runs regular user processesCPU Running niced ProcessCPU running real-time process2, the system uses CPU condition;For I/O Management: interrupts and drivesFor memory management: page swappingUser Process Management: Process start and context switch3,wio: The rate at which the process waits for disk I/O and the CPU is idle.4,CPU idle time, except for the above Wio5,cpu ratio used

Metrics to measure CPU performance:1, the user uses the CPU situation;CPU runs regular user processesCPU Running niced ProcessCPU running real-time process2, the system uses CPU condition;For I/O Management: interrupts and drivesFor memory management: page swappingUser Process Management: Process start and context switch3,wio: The rate at which the process waits for disk I/O and the CPU is idle.4,CPU idle time, except for the above Wio5,cpu ratio used

sufficient To view your hard disk usage :View disk and partition information: Fdisk-lTo view file system Information: DF DF [-m displays size in megabytes] [-K displays size in kilobytes] [-H in gb/mb/kb way] [-I with inode quantity display] [-A lists all file systems including special systems such as/proc] [-t display file system type] [-H displa

0.00 0.25 0.00 29.25 0.00 1.53 1.53 0.00 0.93 0.00Dm-0 0.00 0.00 0.00 0.00 0.07 0.00 48.19 0.00 3.53 3.53 0.00 1.47 0.00Focus Point%util This column represents an IO waitDisk usage, how much time it takes to CPU, a portion of the CPU that is processed by the process, calculated. There is also a part of waiting for IO, waiting for disk to read and write.How much of this waiting time is%utilIf this wait time is bigger, the reading and writing follow the big. Prove that the disk read and write in

. Delta (use)/delta (RIO+WIO)%util: How much time is spent in a second for I/O operations, or how many times in a second I/O queues are non-empty. The delta (use)/s/1000 (because the unit of use is in milliseconds) ############## # # Analysis # ############## 1. If%util is close to 100%, there are too many I/O requests generated, i/ o The system is full load and there may be a bottleneck on the disk. 2. If the idle is smaller than the 70% io pressure is larger, the general read speed has

What are the reasons that affect your query speed? Speed is not power, unstable. There is not enough memory on the server, or there is not enough memory allocated for SQL. SQL statement Design is unreasonable There is no corresponding index, the index is unreasonable Table data too large no effective partition design Database design too 2, there is a lot of data redundancy So how do we find the reason for the slowness? First you need to know whether it is related t