图1
图1显示了数据块如何分割和重组。在这个图中,LMS进程发送一个8KB数据块到远程进程。在传送的过程中,在缓冲区8KB被分割为六个IP数据包,而这些IP包发送通过网络发送到接收侧。在接收侧,内核线程重组这六个IP数据包,并把8KB数据块存放在缓冲区中。前台进程从套接字缓冲区读取它到PGA,同时复制到database buffer中。
在以上过程中将会引起碎片与重新组合,即过度分割和重组问题,这在无形中增加了这数据库节点的以CPU使用率。这种情况我们不得不选择Jumbo Frames 。
现在我们的网络环境都可以达到千兆,万兆,甚至是更高,那么我们可以通过以下命令在系统中进行设置(前提是你的环境是gigabit Ethernet switches and gigabit Ethernet network):
# ifconfig eth0 mtu 9000
使其永久生效
# vi /etc/sysconfig/network-script/ifcfg-eth0
添加
MTU 9000
更多细节参看 http://www.cyberciti.biz/faq/rhel-centos-debian-ubuntu-jumbo-frames-configuration/
下面的文章对以上设置进行很好的测试:
https://blogs.oracle.com/XPSONHA/entry/jumbo_frames_for_rac_interconn_1
对其测试步骤与结果摘录如下:
Theory tells us properly configured Jumbo Frames can eliminate 10% of overhead on UDP traffic.
So how to test ?
Iguess an 'end to end' test would be best way. So my first test is a 30 minute Swingbench run against a two node RAC, not too much stress in thebegin.
The MTU configuration of the network bond (and the slave nics will be 1500 initially).
Afterthe test, collect the results on the total transactions, the average transactions per second, the maximum transaction rate (results.xml), interconnect traffic (awr) and cpu usage. Then, do exactly the same, butnow with an MTU of 9000 bytes. For this we need to make sure the switchsettings are also modified to use an MTU of 9000.
B.t.w.: yes, it's possible to measure network only, but real-life end-to-end testing with a real Oracle application talking to RAC feels like the best approach to see what the impact is on for example the avg. transactions per second.
In order to make the test as> - use guaranteed snapshots to flashback the database to its original state.
- stop/start the database (clean the cache)
B.t.w: before starting the test with an MTU of 9000 bytes the correct setting had to be proofed.
One way to do this is using ping with a packet> One could send Jumbo Frames and see if they can be sent without fragmentation.
[root@node01 rk]# ping -s 8972 -M do node02-ic -c 5
PING node02-ic. (192.168.23.32) 8972(9000) bytes of data.
8980 bytes from node02-ic. (192.168.23.32): icmp_seq=0 ttl=64 time=0.914 ms
As you can see this is not a problem. While for packages larger then 9000 bytes, this is a problem:
[root@node01 rk]# ping -s 8973 -M do node02-ic -c 5
--- node02-ic. ping statistics ---
5 packets transmitted, 5 received, 0% packet loss, time 4003ms
rtt min/avg/max/mdev = 0.859/0.955/1.167/0.109 ms, pipe 2
PING node02-ic. (192.168.23.32) 8973(9001) bytes of data.
From node02-ic. (192.168.23.52) icmp_seq=0 Frag needed and DF set (mtu = 9000)
Bringing back the MTU> [root@node01 rk]# ping -s 8972 -M do node02-ic -c 5
PING node02-ic. (192.168.23.32) 8972(9000) bytes of data.
--- node02-ic. ping statistics ---
5 packets transmitted, 0 received, 100% packet loss, time 3999ms
Bringing back the MTU> [root@node01 rk]# ping node02-ic -M do -c 5
PING node02-ic. (192.168.23.32) 56(84) bytes of data.
64 bytes from node02-ic. (192.168.23.32): icmp_seq=0 ttl=64 time=0.174 ms
--- node02-ic. ping statistics ---
5 packets transmitted, 5 received, 0% packet loss, time 3999ms
rtt min/avg/max/mdev = 0.174/0.186/0.198/0.008 ms, pipe 2
An otherway to verify the correct usage of the MTU> Kernel Interface table
Iface MTU Met RX-OK RX-ERR RX-DRP RX-OVR TX-OK TX-ERR TX-DRP TX-OVR Flg
bond0 1500 0 10371535 0 0 0 15338093 0 0 0 BMmRU
bond0:1 1500 0 - no statistics available - BMmRU
bond1 9000 0 83383378 0 0 0 89645149 0 0 0 BMmRU
eth0 9000 0 36 0 0 0 88805888 0 0 0 BMsRU
eth1 1500 0 8036210 0 0 0 14235498 0 0 0 BMsRU
eth2 9000 0 83383342 0 0 0 839261 0 0 0 BMsRU
eth3 1500 0 2335325 0 0 0 1102595 0 0 0 BMsRU
eth4 1500 0 252075239 0 0 0 252020454 0 0 0 BMRU
eth5 1500 0 0 0 0 0 0 0 0 0 BM
As you can see my interconnect in on bond1 (build on eth0 and eth2). All 9000 bytes.
Not finished yet, no conclusions yet, but here is my first result.
You will notice the results are not that significantly.
MTU 1500:
TotalFailedTransactions : 0
AverageTransactionsPerSecond : 1364
MaximumTransactionRate : 107767
TotalCompletedTransactions : 4910834
MTU 9000:
TotalFailedTransactions : 1
AverageTransactionsPerSecond : 1336
MaximumTransactionRate : 109775
TotalCompletedTransactions : 4812122
In a chart this will look like this:
Asyou can see, the number of transactions between the two tests isn't really that significant, but the UDP traffic is less ! Still, I expected more from this test, so I have to put more stress to the test.
Inoticed the failed transaction, and found "ORA-12155 TNS-received bad datatype in NSWMARKER packet". I did verify this and I am sure this is not> As said, I will now continue with tests that have much more stress on the systems:
- number of users changed from 80 to 150 per database
- number of databases changed from 1 to 2
- more network traffic:
- rebuild the Swingbench indexes without the 'REVERSE' option
-> - full table scans all the time on each instance
- run longer (4 hours in stead of half an hour)
Now, what you seeis already improving. For the 4 hour test, the amount of extra UDP packets sent with an MTU>
Imagineyourself what an impact this has. Each package you not send save you the network-overhead of the package itself and a lot of CPU cycles that you don't need to spend.
The load average of the Linux box also decreases from an avg of 16 to 14.
In terms of completed transactions on different MTU>
To conclude this test two very high load runs are performed. Again, one with an MTU of 1500 and one with an MTU of 9000.
In the charts below you will see less CPU consumption when using 9000 bytes for MTU.
Also less packets are sent,>
My final thoughts on this test:
1. you will hardly notice the benefits of using Jumbo on a system with no stress
2. you will notice the benefits of Jumbo using Frames on a stressed system and such a system will then use less CPU and will have less network overhead.
This means Jumbo Frames help you scaling out better then regular frames.
Dependingon the interconnect usage of your applications the results may vary of course. With interconnect traffic intensive applications you will see the benefits earlier then with application that have> I would use Jumbo Frames to scale better, since it saves CPU and reduces network traffic and this way leaves space for growth.