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<h3><a href="/post/bencmark-with-external-internal-nvme-ssd-and-external-sata-ssd/">[筆記] 測試 USB 3.1 Gen2 NVME SSD 外接盒 & 內建pci-e ssd & 外接SATA SSD / Bencmark With External Internal Nvme Ssd and External Sata Ssd</a></h3>
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<span class="date moment">2019-09-10</span>
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<a href="/categories/%E7%AD%86%E8%A8%98">筆記</a>
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</span>
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<span class="author"><a href="/author/eric-chang">Eric Chang</a></span>
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</div>
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<p>前幾天在淘寶上買了個 SSK 的USB 3.1 Gen2 (type-c) NVME SSD 外接盒
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手邊也剛好有一條多的intel 600p nvme ssd 就順手來做個比較
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目標是看看有沒有可能直接用外接的SSD來跑postgresql</p>
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<p>
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把600p 裝進去外接盒之後，就先來看一些簡單的資訊
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不過沒想到用了幾個指令，都沒辦法辨別出正確的型號</p>
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<h4 id="fdisk">fdisk</h4>
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<p>沒有看到廠牌、型號</p>
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<pre><code>2019-09-10 13:20:55 [minion@hqdc075 ~]$ sudo fdisk /dev/sdb
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Welcome to fdisk (util-linux 2.31.1).
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Changes will remain in memory only, until you decide to write them.
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Be careful before using the write command.
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Command (m for help): p
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Disk /dev/sdb: 238.5 GiB, 256060514304 bytes, 500118192 sectors
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Units: sectors of 1 * 512 = 512 bytes
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Sector size (logical/physical): 512 bytes / 4096 bytes
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I/O size (minimum/optimal): 4096 bytes / 4096 bytes
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Disklabel type: dos
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Disk identifier: 0x59511d8e
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Device Boot Start End Sectors Size Id Type
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/dev/sdb1 2048 500118191 500116144 238.5G 83 Linux
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Command (m for help): q
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</code></pre>
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<h4 id="inxi">inxi</h4>
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<p>內接的intel ssd 有看到，不過外接的這顆SSD沒有model 可是可以看到序號
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我在想這個序號應該是外接盒的序號，而不是SSD的？</p>
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<pre><code>2019-09-10 13:21:51 [minion@hqdc075 ~]$ sudo inxi -Dxx
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Drives: HDD Total Size: 640.2GB (11.3% used)
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ID-1: /dev/nvme0n1 model: INTEL_SSDPEKKF256G7L size: 256.1GB serial: BTPYXXXXX firmware: 123P
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ID-2: USB /dev/sda model: SD/MMC size: 128.1GB serial: 201205XXXXXX-0:0 temp: 0C
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ID-3: USB /dev/sdb model: N/A size: 256.1GB serial: DF564XXXXXX:0 temp: 0C
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2019-09-10 13:21:55 [minion@hqdc075 ~]$
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</code></pre>
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<h4 id="dmesg">dmesg</h4>
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<p>一樣，也是認不出 SSD ，但是有抓到外接盒</p>
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<pre><code>[16622.930915] hub 4-0:1.0: USB hub found
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[16622.930926] hub 4-0:1.0: 2 ports detected
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[16623.372533] usb 4-1: new SuperSpeedPlus Gen 2 USB device number 2 using xhci_hcd
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[16623.393844] usb 4-1: New USB device found, idVendor=152d, idProduct=0562, bcdDevice= 2.04
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[16623.393849] usb 4-1: New USB device strings: Mfr=1, Product=2, SerialNumber=3
|
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[16623.393853] usb 4-1: Product: SSK Storage
|
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[16623.393856] usb 4-1: Manufacturer: SSK
|
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[16623.393858] usb 4-1: SerialNumber: DF56419883B20
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</code></pre>
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<h4 id="直接測試吧">直接測試吧</h4>
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<p>不看型號了，直接測試吧！先切好分割、格式化，然後掛載到 /mnt，再用 dd 測試寫入
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結果如下</p>
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<pre><code>2019-09-10 13:24:03 [minion@hqdc075 ~]$ for i in {4,8,16,32,64,128,256,512,1024,2048,4096,8192,16384};do sudo dd if=/dev/zero of=/mnt/"$i"k bs="$i"k count=1k;done
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1024+0 records in
|
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|
1024+0 records out
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|
4194304 bytes (4.2 MB, 4.0 MiB) copied, 0.013719 s, 306 MB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
8388608 bytes (8.4 MB, 8.0 MiB) copied, 0.0123268 s, 681 MB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
16777216 bytes (17 MB, 16 MiB) copied, 0.0196891 s, 852 MB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
33554432 bytes (34 MB, 32 MiB) copied, 0.0195221 s, 1.7 GB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
67108864 bytes (67 MB, 64 MiB) copied, 0.0337692 s, 2.0 GB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
134217728 bytes (134 MB, 128 MiB) copied, 0.0644939 s, 2.1 GB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
268435456 bytes (268 MB, 256 MiB) copied, 0.131989 s, 2.0 GB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
536870912 bytes (537 MB, 512 MiB) copied, 0.257682 s, 2.1 GB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
1073741824 bytes (1.1 GB, 1.0 GiB) copied, 0.529154 s, 2.0 GB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
2147483648 bytes (2.1 GB, 2.0 GiB) copied, 3.48498 s, 616 MB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 7.36899 s, 583 MB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 73.1975 s, 117 MB/s
|
|
|
1024+0 records in
|
|
|
1024+0 records out
|
|
|
17179869184 bytes (17 GB, 16 GiB) copied, 153.142 s, 112 MB/s
|
|
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2019-09-10 13:28:58 [minion@hqdc075 ~]$
|
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</code></pre>
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<p>可以發現，<strong>當寫入8G檔案的時候，速度開始急遽下降</strong>
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翻了一下google 看到這張表格</p>
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<p><a href="https://www.anandtech.com/show/10850/the-intel-ssd-600p-512gb-review">https://www.anandtech.com/show/10850/the-intel-ssd-600p-512gb-review</a></p>
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<p>intel 600p 256G 的SLC Cache 只有8.5GB
|
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合理解釋了為什麼當寫入8G的檔案時，速度會掉那麼慘，跟SATA硬碟差不多了</p>
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<h4 id="用iobench-測試看看">用iobench 測試看看</h4>
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<p>得到一樣的結論，8G左右，就會把cache塞暴，然後掉速</p>
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<pre><code>2019-09-10 13:44:59 [changch@hqdc075 iobench]$ sudo ./iobench.sh --sync --dir /mnt --megabytes 8192
|
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Target directory: /mnt
|
|
|
Testfile size: 8192 x 1 Megabyte
|
|
|
|
|
|
1. Write benchmark without cache
|
|
|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 36.8695 s, 233 MB/s
|
|
|
|
|
|
2. Write benchmark with cache
|
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|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 64.1573 s, 134 MB/s
|
|
|
|
|
|
3. Read benchmark with dropped cache
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|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 9.21821 s, 932 MB/s
|
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|
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4. Read benchmark without cache drop
|
|
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|
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|
Start 1 of 5...
|
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|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 1.02253 s, 8.4 GB/s
|
|
|
|
|
|
Start 2 of 5...
|
|
|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 0.832002 s, 10.3 GB/s
|
|
|
|
|
|
Start 3 of 5...
|
|
|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 0.81194 s, 10.6 GB/s
|
|
|
|
|
|
Start 4 of 5...
|
|
|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 0.821035 s, 10.5 GB/s
|
|
|
|
|
|
Start 5 of 5...
|
|
|
8589934592 bytes (8.6 GB, 8.0 GiB) copied, 0.808803 s, 10.6 GB/s
|
|
|
|
|
|
Done.
|
|
|
2019-09-10 13:47:40 [changch@hqdc075 iobench]$
|
|
|
</code></pre>
|
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|
<p>那如果不用8G的檔案大小來測試呢？看起來是比較正常一點</p>
|
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|
|
<pre><code>2019-09-10 13:47:40 [changch@hqdc075 iobench]$ sudo ./iobench.sh --sync --dir /mnt --megabytes 4096
|
|
|
Target directory: /mnt
|
|
|
Testfile size: 4096 x 1 Megabyte
|
|
|
|
|
|
1. Write benchmark without cache
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 7.55296 s, 569 MB/s
|
|
|
|
|
|
2. Write benchmark with cache
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 20.6237 s, 208 MB/s
|
|
|
|
|
|
3. Read benchmark with dropped cache
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 4.63622 s, 926 MB/s
|
|
|
|
|
|
4. Read benchmark without cache drop
|
|
|
|
|
|
Start 1 of 5...
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 0.518597 s, 8.3 GB/s
|
|
|
|
|
|
Start 2 of 5...
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 0.436877 s, 9.8 GB/s
|
|
|
|
|
|
Start 3 of 5...
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 0.437854 s, 9.8 GB/s
|
|
|
|
|
|
Start 4 of 5...
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 0.420224 s, 10.2 GB/s
|
|
|
|
|
|
Start 5 of 5...
|
|
|
4294967296 bytes (4.3 GB, 4.0 GiB) copied, 0.431023 s, 10.0 GB/s
|
|
|
|
|
|
Done.
|
|
|
2019-09-10 13:50:09 [changch@hqdc075 iobench]$
|
|
|
</code></pre>
|
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|
<h4 id="跑看看pgbench">跑看看pgbench ??</h4>
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|
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|
<p>試試看這次的目標，用 external nvme ssd 跑資料庫，會不會跟放在本機的PCI-E SSD 有所差距？</p>
|
|
|
|
|
|
<h4 id="data-directory-in-internal-pcie-ssd">data_directory in internal pcie-ssd</h4>
|
|
|
|
|
|
<p><strong>initialize pgbench database</strong></p>
|
|
|
|
|
|
<pre><code>2019-09-10 13:52:35 [minion@hqdc075 ~]$ sudo su - postgres
|
|
|
postgres@hqdc075:~$ createdb pgbench
|
|
|
postgres@hqdc075:~$ pgbench -i -U postgres -s 10 pgbench
|
|
|
NOTICE: table "pgbench_history" does not exist, skipping
|
|
|
NOTICE: table "pgbench_tellers" does not exist, skipping
|
|
|
NOTICE: table "pgbench_accounts" does not exist, skipping
|
|
|
NOTICE: table "pgbench_branches" does not exist, skipping
|
|
|
creating tables...
|
|
|
100000 of 1000000 tuples (10%) done (elapsed 0.08 s, remaining 0.70 s)
|
|
|
200000 of 1000000 tuples (20%) done (elapsed 0.19 s, remaining 0.75 s)
|
|
|
300000 of 1000000 tuples (30%) done (elapsed 0.36 s, remaining 0.83 s)
|
|
|
400000 of 1000000 tuples (40%) done (elapsed 0.49 s, remaining 0.73 s)
|
|
|
500000 of 1000000 tuples (50%) done (elapsed 0.58 s, remaining 0.58 s)
|
|
|
600000 of 1000000 tuples (60%) done (elapsed 0.75 s, remaining 0.50 s)
|
|
|
700000 of 1000000 tuples (70%) done (elapsed 0.89 s, remaining 0.38 s)
|
|
|
800000 of 1000000 tuples (80%) done (elapsed 0.99 s, remaining 0.25 s)
|
|
|
900000 of 1000000 tuples (90%) done (elapsed 1.11 s, remaining 0.12 s)
|
|
|
1000000 of 1000000 tuples (100%) done (elapsed 1.27 s, remaining 0.00 s)
|
|
|
vacuum...
|
|
|
set primary keys...
|
|
|
done.
|
|
|
</code></pre>
|
|
|
|
|
|
<p><strong>run pgbench</strong></p>
|
|
|
|
|
|
<pre><code>postgres@hqdc075:~$ pgbench -t 10 -c 100 -S -U postgres pgbench
|
|
|
starting vacuum...end.
|
|
|
transaction type: <builtin: select only>
|
|
|
scaling factor: 10
|
|
|
query mode: simple
|
|
|
number of clients: 100
|
|
|
number of threads: 1
|
|
|
number of transactions per client: 10
|
|
|
number of transactions actually processed: 1000/1000
|
|
|
latency average = 32.118 ms
|
|
|
tps = 3113.559459 (including connections establishing)
|
|
|
tps = 3135.056341 (excluding connections establishing)
|
|
|
postgres@hqdc075:~$ pgbench -t 1000 -c 100 -S -U postgres pgbench
|
|
|
starting vacuum...end.
|
|
|
transaction type: <builtin: select only>
|
|
|
scaling factor: 10
|
|
|
query mode: simple
|
|
|
number of clients: 100
|
|
|
number of threads: 1
|
|
|
number of transactions per client: 1000
|
|
|
number of transactions actually processed: 100000/100000
|
|
|
latency average = 3.753 ms
|
|
|
tps = 26643.223990 (including connections establishing)
|
|
|
tps = 26659.061459 (excluding connections establishing)
|
|
|
</code></pre>
|
|
|
|
|
|
<h4 id="data-directory-in-external-nvme-ssd">data_directory in external NVME SSD</h4>
|
|
|
|
|
|
<p><strong>initialize pgbench database</strong></p>
|
|
|
|
|
|
<pre><code>postgres@hqdc075:~$ pgbench -i -U postgres -s 10 pgbench
|
|
|
creating tables...
|
|
|
100000 of 1000000 tuples (10%) done (elapsed 0.08 s, remaining 0.70 s)
|
|
|
200000 of 1000000 tuples (20%) done (elapsed 0.19 s, remaining 0.76 s)
|
|
|
300000 of 1000000 tuples (30%) done (elapsed 0.35 s, remaining 0.81 s)
|
|
|
400000 of 1000000 tuples (40%) done (elapsed 0.49 s, remaining 0.74 s)
|
|
|
500000 of 1000000 tuples (50%) done (elapsed 0.60 s, remaining 0.60 s)
|
|
|
600000 of 1000000 tuples (60%) done (elapsed 0.76 s, remaining 0.51 s)
|
|
|
700000 of 1000000 tuples (70%) done (elapsed 0.89 s, remaining 0.38 s)
|
|
|
800000 of 1000000 tuples (80%) done (elapsed 1.01 s, remaining 0.25 s)
|
|
|
900000 of 1000000 tuples (90%) done (elapsed 1.15 s, remaining 0.13 s)
|
|
|
1000000 of 1000000 tuples (100%) done (elapsed 1.32 s, remaining 0.00 s)
|
|
|
vacuum...
|
|
|
set primary keys...
|
|
|
done.
|
|
|
</code></pre>
|
|
|
|
|
|
<p><strong>run pgbench</strong>
|
|
|
可以看到兩邊的結果其實是差不多的，作為資料庫備份是一定沒有問題
|
|
|
至於能不能直接作為資料庫空間使用？我想也許可以嘗試看看..</p>
|
|
|
|
|
|
<pre><code>postgres@hqdc075:~$ pgbench -t 10 -c 100 -S -U postgres pgbench
|
|
|
starting vacuum...end.
|
|
|
transaction type: <builtin: select only>
|
|
|
scaling factor: 10
|
|
|
query mode: simple
|
|
|
number of clients: 100
|
|
|
number of threads: 1
|
|
|
number of transactions per client: 10
|
|
|
number of transactions actually processed: 1000/1000
|
|
|
latency average = 32.998 ms
|
|
|
tps = 3030.531670 (including connections establishing)
|
|
|
tps = 3051.744292 (excluding connections establishing)
|
|
|
postgres@hqdc075:~$ pgbench -t 1000 -c 100 -S -U postgres pgbench
|
|
|
starting vacuum...end.
|
|
|
transaction type: <builtin: select only>
|
|
|
scaling factor: 10
|
|
|
query mode: simple
|
|
|
number of clients: 100
|
|
|
number of threads: 1
|
|
|
number of transactions per client: 1000
|
|
|
number of transactions actually processed: 100000/100000
|
|
|
latency average = 3.758 ms
|
|
|
tps = 26610.771423 (including connections establishing)
|
|
|
tps = 26626.871871 (excluding connections establishing)
|
|
|
postgres@hqdc075:~$
|
|
|
</code></pre>
|
|
|
|
|
|
<p>update:</p>
|
|
|
|
|
|
<p>剛剛看了一下，發現這樣只有測試到 read (select only)
|
|
|
或許要找找看其他的測試方法</p>
|
|
|
|
|
|
<hr />
|
|
|
|
|
|
<p>接下來直接用 restore 測試</p>
|
|
|
|
|
|
<pre><code>#### restore 5G database with external nvme ssd
|
|
|
postgres@hqdc075:~$ createdb demo
|
|
|
postgres@hqdc075:~$ time psql demo < /tmp/demo.sql
|
|
|
SET
|
|
|
...
|
|
|
ALTER TABLE
|
|
|
|
|
|
real 4m1.184s
|
|
|
user 0m2.894s
|
|
|
sys 0m0.504s
|
|
|
postgres@hqdc075:~$
|
|
|
</code></pre>
|
|
|
|
|
|
<h4 id="restore-5g-database-with-internal-pci-e-nvme-ssd">restore 5G database with internal pci-e nvme ssd</h4>
|
|
|
|
|
|
<pre><code>postgres@hqdc075:~$ dropdb demo
|
|
|
postgres@hqdc075:~$ createdb demo
|
|
|
postgres@hqdc075:~$ time psql demo < /tmp/demo.sql
|
|
|
SET
|
|
|
...
|
|
|
ALTER TABLE
|
|
|
|
|
|
real 4m1.636s
|
|
|
user 0m2.909s
|
|
|
sys 0m0.612s
|
|
|
postgres@hqdc075:~$
|
|
|
</code></pre>
|
|
|
|
|
|
<p>看起來是沒有什麼區別，那如果是外接的 SATA SSD呢？</p>
|
|
|
|
|
|
<hr />
|
|
|
|
|
|
<p>dmesg 看得到型號耶..</p>
|
|
|
|
|
|
<pre><code>[23995.478928] usb 2-4: new SuperSpeed Gen 1 USB device number 3 using xhci_hcd
|
|
|
[23995.506134] usb 2-4: New USB device found, idVendor=2109, idProduct=0715, bcdDevice= 3.36
|
|
|
[23995.506141] usb 2-4: New USB device strings: Mfr=1, Product=2, SerialNumber=3
|
|
|
[23995.506145] usb 2-4: Product: 30848
|
|
|
[23995.506149] usb 2-4: Manufacturer: Ugreen
|
|
|
[23995.506153] usb 2-4: SerialNumber: 00000012526D
|
|
|
[23995.512813] scsi host2: uas
|
|
|
[23995.530161] scsi 2:0:0:0: Direct-Access SanDisk SDSSDXP240G R131 PQ: 0 ANSI: 6
|
|
|
[23995.531948] sd 2:0:0:0: Attached scsi generic sg2 type 0
|
|
|
[23995.533820] sd 2:0:0:0: [sdc] 468862128 512-byte logical blocks: (240 GB/224 GiB)
|
|
|
[23995.533986] sd 2:0:0:0: [sdc] Write Protect is off
|
|
|
[23995.533992] sd 2:0:0:0: [sdc] Mode Sense: 2f 00 00 00
|
|
|
[23995.534402] sd 2:0:0:0: [sdc] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA
|
|
|
[23995.534844] sd 2:0:0:0: [sdc] Optimal transfer size 33553920 bytes
|
|
|
[23995.540806] sdc:
|
|
|
[23995.544089] sd 2:0:0:0: [sdc] Attached SCSI disk
|
|
|
2019-09-10 14:24:54 [minion@hqdc075 ~]$
|
|
|
</code></pre>
|
|
|
|
|
|
<p><strong>restore 5G database with external sata SSD</strong></p>
|
|
|
|
|
|
<p>很意外的，速度居然還是差不多？？</p>
|
|
|
|
|
|
<pre><code>postgres@hqdc075:~$ createdb demo
|
|
|
postgres@hqdc075:~$ time psql demo < /tmp/demo.sql
|
|
|
SET
|
|
|
...
|
|
|
ALTER TABLE
|
|
|
|
|
|
real 4m9.950s
|
|
|
user 0m2.752s
|
|
|
sys 0m0.640s
|
|
|
postgres@hqdc075:~$
|
|
|
</code></pre>
|
|
|
|
|
|
<p><strong>run pgebnech</strong></p>
|
|
|
|
|
|
<p>這個差很多了，tps 從前面的 26000 掉到剩下 2800 ，差十倍左右！</p>
|
|
|
|
|
|
<pre><code>postgres@hqdc075:~$ pgbench -t 10 -c 100 -S -U postgres pgbench
|
|
|
starting vacuum...end.
|
|
|
transaction type: <builtin: select only>
|
|
|
scaling factor: 10
|
|
|
query mode: simple
|
|
|
number of clients: 100
|
|
|
number of threads: 1
|
|
|
number of transactions per client: 10
|
|
|
number of transactions actually processed: 1000/1000
|
|
|
latency average = 35.267 ms
|
|
|
tps = 2835.526770 (including connections establishing)
|
|
|
tps = 2855.642604 (excluding connections establishing)
|
|
|
postgres@hqdc075:~$
|
|
|
</code></pre>
|
|
|
|
|
|
<p>疑問：</p>
|
|
|
|
|
|
<ol>
|
|
|
<li>什麼原因會讓外接/內建 nvme ssd 和外接SATA SSD 在 restore db時，花了差不多時間，但是 tps 差異那麼大呢？</li>
|
|
|
<li>這樣測試，似乎沒有真正測出外接nvme ssd 跑資料庫時候的效能？</li>
|
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