Red Hat APPLICATION STACK 2.0 RELEASE Bedienungsanleitung PDF herunterladen (Seite 10)

A Principled Technologies test report 10

Red Hat Enterprise Linux 6: Performance advantages with an

open source software stack

25. Configure network adapter connected to the DVD Store clients, for example eth1, to listen on three IP addresses

(aliases). Create the files /etc/sysconfig/network-scripts/ifcfg-eth1 and /etc/sysconfig/network-scripts/ifcfg-

eth1-range0 with this content:

ifcfg-eth1:

DEVICE=em2

ONBOOT=yes

BOOTPROTO=none

TYPE=Ethernet

IPV6INIT=no

USERCTL=no

ifcfg-eth1-range0:

IPADDR_START=192.168.30.21

IPADDR_END=192.168.30.23

CLONENUM_START=0

26. Increase the amount of SysV shared-memory available to MySQL by modifying the parameters, kernel.shmmax,

and kernel.shmall, in the file /etc/sysctl.conf:

# Controls the maximum shared segment size, in bytes

#kernel.shmmax = 68719476736

kernel.shmmax = 85983232000

# Controls the maximum number of shared memory segments, in pages

#kernel.shmall = 4294967296

kernel.shmall = 83968000

27. Allocate 21000 (about 41GB) standard Hugepages for MySQL by modifying the parameter, vm.nr_hugepages, in

the file /etc/sysctl.conf:

vm.nr_hugepages=21000

28. Reboot the server:

shutdown –r now

29. After the system reboots, log in as root.

30. Create three pairs of disk partitions (one set for each instance of MySQL) for the MySQL data and log files, using,

for example, the disk /dev/sdd, whose contents will be destroyed, and is at least 130GB in size. The size of the

partitions is 20GB for the data files, and 5GB for the log files. Run this command-line script:

parted /dev/sdd mklabel gpt

parted /dev/sdd mkpart dat01 ext4 1 20GB

parted /dev/sdd mkpart dat02 ext4 20GB 40GB

parted /dev/sdd mkpart dat03 ext4 40GB 60GB

parted /dev/sdd mkpart log01 ext4 60GB 65GB

parted /dev/sdd mkpart log02 ext4 65GB 70GB

parted /dev/sdd mkpart log03 ext4 70GB 75GB

31. Create one more 50GB disk partition to hold the master DVD Store data, used to reset the system before each

benchmark run:

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