{"id":2428,"date":"2018-09-04T18:26:02","date_gmt":"2018-09-04T18:26:02","guid":{"rendered":"http:\/\/dbtut.com\/?p=2428"},"modified":"2018-12-06T13:13:08","modified_gmt":"2018-12-06T13:13:08","slug":"how-to-improve-database-performance-on-mongodb-part2","status":"publish","type":"post","link":"https:\/\/dbtut.com\/index.php\/2018\/09\/04\/how-to-improve-database-performance-on-mongodb-part2\/","title":{"rendered":"How To Improve Database Performance on MongoDB Part2"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p><span style=\"font-size: 12pt;\">This article is the second part of the article named &#8220;<\/span><a title=\"How to improve database performance on MongoDB part 1\" href=\"https:\/\/dbtut.com\/index.php\/2018\/08\/29\/how-to-improve-database-performance-on-mongodb-part-1\/\" target=\"_blank\" rel=\"noopener\">How to improve database performance on MongoDB part 1<\/a><span style=\"font-size: 12pt;\">&#8220;<\/span><\/p>\n<p><span style=\"font-size: 18pt;\">Ensure you have enough RAM.<\/span><\/p>\n<p>As other\u00a0Database\u00a0Managers, MongoDB performs best when the\u00a0portion of your data that clients access most often live in RAM. RAM size is the most important factor for hardware.<\/p>\n<p>To calculate how much RAM you need, you must calculate your working set size or the portion of your data that clients use most often.<\/p>\n<p>This depends on:<\/p>\n<ul>\n<li>Your access patterns<\/li>\n<li>What indexes you have and the size of your documents<\/li>\n<li>The relationship between database storage and working set<\/li>\n<li>Each database connection thread\u00a0will need up to 1 MB of RAM, whether active or idle<\/li>\n<li>The impact of the journaling<\/li>\n<li>Your Storage Engine<\/li>\n<li>Your type of Disk<\/li>\n<li>How many mongod processes are running on the server<\/li>\n<li>If your server is dedicated for MongoDB or not<\/li>\n<\/ul>\n<p>The easy way to check if you have RAM problems is running the command from mongo shell:<\/p>\n<pre class=\"lang:default decode:true \">&lt;db.serverStatus().extra_info.page_faults&gt;<\/pre>\n<p>&nbsp;<\/p>\n<p>Server without stress:<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/dbtut.com\/wp-content\/uploads\/2018\/09\/754.png\" \/><\/p>\n<p>Server with stress:<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/dbtut.com\/wp-content\/uploads\/2018\/09\/960.png\" \/><\/p>\n<p>The\u00a0<a href=\"https:\/\/docs.mongodb.com\/manual\/reference\/command\/serverStatus\/#serverstatus.extra_info.page_faults\">extra_info.page_faults<\/a>\u00a0counter may increase dramatically during moments of poor performance and may correlate with limited memory environments and larger datasets. Limited and sporadic page faults do not necessarily indicate an issue. This counter needs to be monitored.<\/p>\n<p>In your mongod log entry you see:<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/dbtut.com\/wp-content\/uploads\/2018\/09\/572.png\" \/><\/p>\n<p>By the way, I have an insufficient amount of RAM.<\/p>\n<p>For good manage of RAM, I recommend:<\/p>\n<ul>\n<li>Use WireTiger storage Engine\n<ul>\n<li>Configure compression<\/li>\n<li>If you need to run multiple mongod processes, it\u2019s necessary to calculate the appropriate cache size for each instance by evaluating what portion of total RAM each of them should use, and splitting the default cache_size between each<\/li>\n<li>Avoid set chace_size over the default value, you could experience poor performance<\/li>\n<\/ul>\n<\/li>\n<li>Use SSDs for write-heavy applications<\/li>\n<li>Dedicate role server, avoid the usage of database servers for running no MongoDB process<\/li>\n<li>Consider sharding your database across multiple servers<\/li>\n<\/ul>\n<p>You may want to read the other article of this series &#8220;<a href=\"https:\/\/dbtut.com\/index.php\/2018\/09\/21\/how-to-improve-database-performance-on-mongodb-part3\/\" target=\"_blank\" rel=\"noopener\">How To Improve Database Performance on MongoDB Part3<\/a>&#8221;<\/p>\n\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_2428\" class=\"pvc_stats all  \" data-element-id=\"2428\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/dbtut.com\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; This article is the second part of the article named &#8220;How to improve database performance on MongoDB part 1&#8220; Ensure you have enough RAM. As other\u00a0Database\u00a0Managers, MongoDB performs best when the\u00a0portion of your data that clients access most often live in RAM. RAM size is the most important factor for hardware. To calculate how &hellip;<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_2428\" class=\"pvc_stats all  \" data-element-id=\"2428\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/dbtut.com\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"author":67,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[1306,1388],"tags":[1472,1371,1469,1470,1471],"class_list":["post-2428","post","type-post","status-publish","format-standard","","category-mongodb","category-nosql","tag-cache_size","tag-mongodb","tag-ram","tag-serverstatus","tag-wiretiger"],"aioseo_notices":[],"a3_pvc":{"activated":true,"total_views":495,"today_views":0},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - 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