linux中怎么测试i o,[linux]linuxI/O测试的方法之dd

本文详细介绍了如何利用dd工具进行Linux磁盘写入性能测试,包括设置直接I/O和同步I/O参数以排除OS缓存影响,以及在笔记本和服务器环境下测量读写速率和延迟。通过实例展示了在不同设备和配置下,如何准确评估RAID和硬盘的实际性能。

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参考http://www.thomas-krenn.com/en/wiki/Linux_I/O_Performance_Tests_using_dd

Measuring Write Performance

Modern operating systems do not normally write files immediately to RAID systems or hard disks. Temporary memory that is not currently in use will be used to cache writes and reads (regarding this, see also Operating System Caches).

So that I/O performance measurements will not be affected by these caches (temporary memory), the oflag parameter can be used. Thereby, the following two flags are interesting (for details, see dd --help and Dd using direct or synchronized I/O):

direct (use direct I/O for data)

dsync (use synchronized I/O for data)

sync (likewise, but also for metadata)

For measuring write performance, the data to be written should be read from /dev/zeroempty RAID array, hard disk or partition (such as using of=/dev/sda for the first hard disk or of=/dev/sda2 for the second partition on the first hard disk). If this is not possible, a normal file in the file system (such as using of=/root/testdatei1GB) can be written. The write performance achieved thereby will be a little slower (because metadata will also be written to the file system).

Important: When writing to a device (such as /dev/sda), the data stored there will be lost. For that reason, you should only use empty RAID arrays, hard disks or partitions.

Note:

When using if=/dev/zero and bs=1G, Linux will need 1GB of free space in RAM. If your test system does not have sufficient RAM available, use a smaller parameter for bs (such as 512MB).

In order to get results closer to real-life, we recommend performing the tests described several times (three to ten times, for example). By doing so, you can quickly detect outliers. Such outliers can include cron jobs, interrupts or general conditions due to parallel processing, which can all briefly affect performance. An extreme example, which clarifies this issue, would be the parallel execution of updatedb by a cron job.

Laptop Example

In this example, the test data will be written to /dev/sda2. The test system (a Thinkpad T43 Type 2668-4GG) had 1.5 GByte of RAM and a Fujitsu MHT2060AH hard disk rotating at 5,400 rpm.

Laptop Throughput (Streaming I/O)

One gigabyte was written for the test, first with the cache activated (hdparm -W1 /dev/sda):

root@grml ~ # dd if=/dev/zero of=/dev/sda2 bs=1G count=1 oflag=direct

1+0 records in

1+0 records out

1073741824 bytes (1.1 GB) copied, 32.474 s, 33.1 MB/s

root@grml ~ #

Then, with the cache deactivated (hdparm -W0 /dev/sda):

root@grml ~ # dd if=/dev/zero of=/dev/sda2 bs=1G count=1 oflag=direct

1+0 records in

1+0 records out

1073741824 bytes (1.1 GB) copied, 123.37 s, 8.7 MB/s

root@grml ~ #

Laptop Latency

In this test, 512 bytes were written one thousand times, first with the cache activated (hdparm -W1 /dev/sda):

root@grml ~ # dd if=/dev/zero of=/dev/sda2 bs=512 count=1000 oflag=direct

1000+0 records in

1000+0 records out

512000 bytes (512 kB) copied, 0.36084 s, 1.4 MB/s

root@grml ~ #

Then, with the cache deactivated (hdparm -W0 /dev/sda): One thousand accesses required 11.18 seconds, meaning one access took 11.18 ms.

root@grml ~ # dd if=/dev/zero of=/dev/sda2 bs=512 count=1000 oflag=direct

1000+0 records in

1000+0 records out

512000 bytes (512 kB) copied, 11.1865 s, 45.8 kB/s

root@grml ~ #

Server with RAID10 Example

In this example, the test data was written to an empty partition. The test system was an 2HE Intel Dual-CPU SC823 Server with six 147 GB SAS Fujitsu MBA3147RC (15,000 rpm) hard disks and an Adaptec 5805 RAID controller with the cache activated and a BBU.

Server Throughput (Streaming I/O)

One gigabyte was written for the test:

test-sles10sp2:~ # dd if=/dev/zero of=/dev/sda6 bs=1G count=1 oflag=dsync

1+0 records in

1+0 records out

1073741824 bytes (1.1 GB) copied, 5.11273 seconds, 210 MB/s

test-sles10sp2:~

Server Latency

In this test, 512 bytes were written one thousand times. Thereby, the 0.084 seconds that were measured for one thousand accesses corresponded to precisely 0.084 ms for each access. This value is so low because of the RAID controller’s cache:

test-sles10sp2:~ # dd if=/dev/zero of=/dev/sda6 bs=512 count=1000 oflag=dsync

1000+0 records in

1000+0 records out

512000 bytes (512 kB) copied, 0.083902 seconds, 6.1 MB/s

test-sles10sp2:~ #

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