{"id":5399,"date":"2015-08-28T22:01:42","date_gmt":"2015-08-28T20:01:42","guid":{"rendered":"https:\/\/www.dbi-services.com\/blog\/database-cloud-service-performance-iops\/"},"modified":"2015-08-28T22:01:42","modified_gmt":"2015-08-28T20:01:42","slug":"database-cloud-service-performance-iops","status":"publish","type":"post","link":"https:\/\/www.dbi-services.com\/blog\/database-cloud-service-performance-iops\/","title":{"rendered":"DataBase Cloud Service performance &#8211; IOPS"},"content":{"rendered":"<h2>By Franck Pachot<\/h2>\n<p>.<br \/>\n<img loading=\"lazy\" decoding=\"async\" style=\"float:right\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/cloud.png\" alt=\"cloud\" width=\"50\" height=\"50\" \/> Having a database in the cloud is very nice. You add storage with a few clicks. You don&#8217;t have to think about the storage type (DAS, SAN, NAS), size of disks, stripe size, SSD, etc. But do you have the performance you expect? I&#8217;ve tested I\/O in the Cloud that just opened for Europe, so that I get an image of performance when nobody&#8217;s there.<\/p>\n<h1>SLOB<\/h1>\n<p>If you want to test IOPS, the tool is Kevin Closson SLOB of course. It&#8217;s easy to setup, and I detailed that in the <a href=\"http:\/\/dbi-services.com\/blog\/slob-in-the-cloud-how-to-check-cloud-services-performance\/\" title=\"SLOB in the Cloud: how to check Cloud Services performance\">SLOB in the Cloud<\/a>.<\/p>\n<p>I have a VM with a 100GB storage attached to it. The storage was defined as &#8216;latency&#8217; which definition is recommended for <em>low latency and high IOPS, such as for storing database files<\/em> according to <a href=\"http:\/\/docs.oracle.com\/cloud\/latest\/computecs_common\/OCSUG\/GUID-AFA0D511-915B-4221-9585-3E727885BFE1.htm#OCSUG140\">documentation<\/a>. As of now, I&#8217;ve no (official) idea about the storage that is behind.<\/p>\n<p>I run SLOB with default options except the scale that fit the maximum I have on that VM:<\/p>\n<pre><code>UPDATE_PCT=25\nRUN_TIME=300\nWORK_LOOP=0\n#SCALE=500M\nSCALE=90000M\nWORK_UNIT=64\nREDO_STRESS=LITE\nLOAD_PARALLEL_DEGREE=4<\/code><\/pre>\n<h1>Optimized for latency<\/h1>\n<p>So here is the result for the storage optimized for latency:<\/p>\n<pre><code>\ncolumn event format a30 \nset linesize 120 pagesize 1000\nselect event,wait_time_micro,wait_count,wait_time_format from v$event_histogram_micro \n where event like 'db file sequential read' order by event,wait_time_micro;\n<\/code><\/pre>\n<pre><code>\nEVENT                          WAIT_TIME_MICRO WAIT_COUNT WAIT_TIME_FORMAT\n------------------------------ --------------- ---------- ------------------------------\ndb file sequential read                      1          0 1 microsecond\ndb file sequential read                      2          0 2 microseconds\ndb file sequential read                      4          0 4 microseconds\ndb file sequential read                      8          0 8 microseconds\ndb file sequential read                     16          0 16 microseconds\ndb file sequential read                     32          0 32 microseconds\ndb file sequential read                     64          0 64 microseconds\ndb file sequential read                    128          0 128 microseconds\ndb file sequential read                    256         27 256 microseconds\ndb file sequential read                    512     390619 512 microseconds\ndb file sequential read                   1024     172914 1 millisecond\ndb file sequential read                   2048       3387 2 milliseconds\ndb file sequential read                   4096       1709 4 milliseconds\ndb file sequential read                   8192       1237 8 milliseconds\ndb file sequential read                  16384         96 16 milliseconds\ndb file sequential read                  32768         56 32 milliseconds\ndb file sequential read                  65536          4 65 milliseconds\ndb file sequential read                 131072          0 131 milliseconds\ndb file sequential read                 262144          1 262 milliseconds\n<\/code><\/pre>\n<p>On average, this is what we can call &#8216;low latency&#8217;. Let&#8217;s look at the detail.<\/p>\n<p>Most of I\/O come between 256&micro;s and 512&micro;s. That may suggest data was cached in the array behind Fiber Channel (roundtrip on FC being around 240&micro;s). Nothing below shows that nothing is cached on the server.<\/p>\n<p>That may be an effect of my small amount of data (reading within 9000MB in 5 minutes) and the fact that there is not a lot of activity on that Cloud yet. We will see in the future how it evolves. A small part of I\/O is within the mechanical disks latency (&gt; 4ms for 15000 RPM)<\/p>\n<h1>Default storage<\/h1>\n<p>I&#8217;ve run the same workload with a &#8216;default&#8217; storage witch is recommended by documentation for all other than datafiles.<\/p>\n<pre><code>\nEVENT                          WAIT_TIME_MICRO WAIT_COUNT WAIT_TIME_FORMAT\n------------------------------ --------------- ---------- ------------------------------\ndb file sequential read                      1          0 1 microsecond\ndb file sequential read                      2          0 2 microseconds\ndb file sequential read                      4          0 4 microseconds\ndb file sequential read                      8          0 8 microseconds\ndb file sequential read                     16          0 16 microseconds\ndb file sequential read                     32          0 32 microseconds\ndb file sequential read                     64          0 64 microseconds\ndb file sequential read                    128          0 128 microseconds\ndb file sequential read                    256         22 256 microseconds\ndb file sequential read                    512     285811 512 microseconds\ndb file sequential read                   1024     188620 1 millisecond\ndb file sequential read                   2048       2776 2 milliseconds\ndb file sequential read                   4096       1533 4 milliseconds\ndb file sequential read                   8192       1424 8 milliseconds\ndb file sequential read                  16384       1552 16 milliseconds\ndb file sequential read                  32768        606 32 milliseconds\ndb file sequential read                  65536        182 65 milliseconds\ndb file sequential read                 131072         52 131 milliseconds\ndb file sequential read                 262144         10 262 milliseconds\n<\/code><\/pre>\n<p>From there I don&#8217;t see a big difference, except that the I\/O that are in the range of mechanical disks seem to take longer. Do we hit there a storage that is more busy and have I\/O calls in queue?<\/p>\n<h1>Filesystem cache<\/h1>\n<p>While I&#8217;m on these tests, and following Stefan Koehler comment (<a href=\"https:\/\/twitter.com\/OracleSK\/status\/636904162802958336\">https:\/\/twitter.com\/OracleSK\/status\/636904162802958336<\/a>) I tested the same with the ext4 filesystem (filesystemio_options=none) and here it is:<\/p>\n<pre><code>\nEVENT                          WAIT_TIME_MICRO WAIT_COUNT WAIT_TIME_FORMAT\n------------------------------ --------------- ---------- ------------------------------\ndb file sequential read                      1          0 1 microsecond\ndb file sequential read                      2          0 2 microseconds\ndb file sequential read                      4          0 4 microseconds\ndb file sequential read                      8        562 8 microseconds\ndb file sequential read                     16      10458 16 microseconds\ndb file sequential read                     32       6460 32 microseconds\ndb file sequential read                     64       1053 64 microseconds\ndb file sequential read                    128        451 128 microseconds\ndb file sequential read                    256         41 256 microseconds\ndb file sequential read                    512     126705 512 microseconds\ndb file sequential read                   1024     338407 1 millisecond\ndb file sequential read                   2048      14425 2 milliseconds\ndb file sequential read                   4096        863 4 milliseconds\ndb file sequential read                   8192        187 8 milliseconds\ndb file sequential read                  16384         80 16 milliseconds\ndb file sequential read                  32768         87 32 milliseconds\ndb file sequential read                  65536         19 65 milliseconds\ndb file sequential read                 131072          2 131 milliseconds\ndb file sequential read                 262144          1 262 milliseconds\ndb file sequential read                 524288          1 524 milliseconds\n<\/code><\/pre>\n<p>We clearly see two groups here. Filesystem cache hits around 16 microseconds and array head cache at the additional Fiber Channel transfer time.<\/p>\n<h1>Comparison and guesses<\/h1>\n<p>I&#8217;ve put that in Excel. The maximum number of IO done in 5 minutes are with the &#8216;latency&#8217; storage (remember, latency here means &#8216;low latency&#8217;).<br \/>\nWhen using the filesystem cache, a few IO are much quicker with no need to go to the array, but the remaining ones are a bit longer. It looks like the most read blocks that were serve the faster by the array are now served from the server (I&#8217;ve about 10GB for filesystem cache).<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureDBCSIO1.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureDBCSIO1.jpg\" alt=\"CaptureDBCSIO1\" width=\"300\" height=\"181\" class=\"alignnone size-medium wp-image-3400\" \/><\/a><\/p>\n<p>The peak for &#8216;default&#8217; and &#8216;latency&#8217; which are at the same place suggest that there is similar FC and head cache. Maybe the only difference is the disk speed?<\/p>\n<p>Here is the same with a logarithmic scale in order to see the outliers better. It&#8217;s not enough to get good IOPS average. We don&#8217;t want to be the user that suffers from 100ms I\/Os.<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureDBCSIO2.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureDBCSIO2.jpg\" alt=\"CaptureDBCSIO2\" width=\"300\" height=\"179\" class=\"alignnone size-medium wp-image-3399\" \/><\/a><\/p>\n<p>The shape of &#8216;default&#8217; and &#8216;latency&#8217; is similar for what is in cache. But for those in the range of mechanic disks, the &#8216;latency&#8217; outperforms &#8216;default. So, follow the recommendation: use &#8216;latency&#8217; for databases.<\/p>\n<p>I&#8217;ve no explanation yet (comments welcome) why when using filecache we have less I\/Os in the range of 2-8ms. filecache concerns the most frequently read blocks, so they should be in array cache when there is not filesystem cache.<\/p>\n<h1>So what?<\/h1>\n<p>What&#8217;s the point measuring a workload that fit all in cache? You have here the baseline of the maximum IOPS performance you can get from the Database Cloud Services. But be careful. When your data set is larger than those 100GB and the cloud is busy, most of your I\/O will be above 1ms, but, it&#8217;s still good performance. That&#8217;s for a future post. I&#8217;ll keep an eye especially on those I\/O in the 8-32ms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By Franck Pachot . Having a database in the cloud is very nice. You add storage with a few clicks. You don&#8217;t have to think about the storage type (DAS, SAN, NAS), size of disks, stripe size, SSD, etc. But do you have the performance you expect? I&#8217;ve tested I\/O in the Cloud that just [&hellip;]<\/p>\n","protected":false},"author":27,"featured_media":5402,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[368,59],"tags":[626,612,627,628,629,96,67,624],"type_dbi":[],"class_list":["post-5399","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-development-performance","category-oracle","tag-cache","tag-dbaas","tag-dbcs","tag-iops","tag-latency","tag-oracle","tag-performance","tag-slob"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>DataBase Cloud Service performance - IOPS - dbi Blog<\/title>\n<meta name=\"description\" content=\"The performance of disk reads in the Oracle cloud\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.dbi-services.com\/blog\/database-cloud-service-performance-iops\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DataBase Cloud Service performance - IOPS\" \/>\n<meta property=\"og:description\" content=\"The performance of disk reads in the Oracle cloud\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.dbi-services.com\/blog\/database-cloud-service-performance-iops\/\" \/>\n<meta property=\"og:site_name\" content=\"dbi Blog\" \/>\n<meta property=\"article:published_time\" content=\"2015-08-28T20:01:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureDBCSIO2-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1010\" \/>\n\t<meta property=\"og:image:height\" content=\"602\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Oracle Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Oracle Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/database-cloud-service-performance-iops\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.dbi-services.com\/blog\/database-cloud-service-performance-iops\/\"},\"author\":{\"name\":\"Oracle Team\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/66ab87129f2d357f09971bc7936a77ee\"},\"headline\":\"DataBase Cloud Service performance &#8211; 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