{"id":58333,"date":"2025-03-31T12:56:04","date_gmt":"2025-03-31T12:56:04","guid":{"rendered":"https:\/\/dbtut.com\/?p=58333"},"modified":"2025-03-31T12:56:04","modified_gmt":"2025-03-31T12:56:04","slug":"postgresql-vacuum","status":"publish","type":"post","link":"https:\/\/dbtut.com\/index.php\/2025\/03\/31\/postgresql-vacuum\/","title":{"rendered":"PostgreSQL Vacuum"},"content":{"rendered":"<p data-start=\"99\" data-end=\"226\">In today&#8217;s article, we will provide important insights on dead rows, vacuum operations, FSM, and VM in PostgreSQL.<\/p>\n<p class=\"\" data-start=\"99\" data-end=\"226\">When performing UPDATE or DELETE operations on a table in PostgreSQL, the modified or deleted data is still retained.<\/p>\n<p class=\"\" data-start=\"228\" data-end=\"361\">For example, when you execute an UPDATE operation on a table, the existing data is hidden, and a new value is inserted instead.<\/p>\n<p class=\"\" data-start=\"363\" data-end=\"511\">In the case of a DELETE operation, the record to be deleted is marked as deleted, but it remains on disk rather than being physically removed.<\/p>\n<p class=\"\" data-start=\"513\" data-end=\"724\">Similarly, in an UPDATE operation, the old record is hidden to prevent its usage, and a new version of the data is inserted into the table. However, the hidden (old) data continues to occupy space on disk.<\/p>\n<p class=\"\" data-start=\"726\" data-end=\"811\">This phenomenon, where old data remains on disk, is referred to as &#8220;dead rows.&#8221;<\/p>\n<h3 class=\"\" data-start=\"813\" data-end=\"860\">Relationship Between Dead Rows and Vacuum<\/h3>\n<p class=\"\" data-start=\"862\" data-end=\"1040\">Since dead rows remain on disk, they consume unnecessary space. As a result, when executing queries, these dead rows are also scanned, increasing query execution time and cost.<\/p>\n<p class=\"\" data-start=\"1042\" data-end=\"1234\">To prevent unnecessary scanning and high costs, PostgreSQL periodically performs a VACUUM operation. This process cleans up dead rows, freeing disk space and improving query performance.<\/p>\n<h3>VACUUM<\/h3>\n<p class=\"\" data-start=\"0\" data-end=\"98\">I had mentioned dead rows earlier. The VACUUM process marks dead rows so they can be reused.<\/p>\n<p class=\"\" data-start=\"100\" data-end=\"218\">Since this marking process does not place an exclusive lock, other operations can continue without interruption.<\/p>\n<p class=\"\" data-start=\"220\" data-end=\"347\">During this process, only a small number of dead rows are physically removed, so it does not significantly reduce disk usage.<\/p>\n<p class=\"\" data-start=\"349\" data-end=\"487\">However, it ensures that dead rows are kept ready for reuse. This process can be performed automatically using the AUTOVACUUM feature.<\/p>\n<h3>ANALYZE<\/h3>\n<p>VACUUM ANALYZE= VACUUM+ANALYZE<\/p>\n<p class=\"\" data-start=\"0\" data-end=\"231\">When queries are executed, they create a lifecycle that starts when the query begins and ends when it completes, aiming to retrieve results in the fastest way possible. In PostgreSQL, this lifecycle is managed by the planner.<\/p>\n<p class=\"\" data-start=\"233\" data-end=\"364\">The ANALYZE command updates statistics for either the entire table or a specific table, ensuring optimized query performance.<\/p>\n<p class=\"\" data-start=\"366\" data-end=\"583\">VACUUM ANALYZE helps improve query efficiency by updating table statistics and removing dead rows, preventing operations on deleted or updated data. This process ensures that queries return results more quickly.<\/p>\n<p class=\"\" data-start=\"585\" data-end=\"648\">However, this operation may cause a read lock on the table.<\/p>\n<h3>VACUM FULL<\/h3>\n<p class=\"\" data-start=\"0\" data-end=\"129\">The VACUUM FULL command places an exclusive lock on the table, preventing any operations until the process is complete.<\/p>\n<p class=\"\" data-start=\"131\" data-end=\"244\">Unlike other vacuum types, VACUUM FULL removes dead rows from the table or database and updates statistics.<\/p>\n<p class=\"\" data-start=\"246\" data-end=\"361\">Because of this, it provides greater space savings and performance improvements compared to other vacuum methods.<\/p>\n<p class=\"\" data-start=\"363\" data-end=\"483\">During VACUUM operations, you can use the VERBOSE option to get detailed output about the actions being performed.<\/p>\n<p class=\"\" data-start=\"485\" data-end=\"612\">Additionally, VACUUM cleans up the FSM (Free Space Map) and VM (Visibility Map) files that physically store table data.<\/p>\n<p class=\"\" data-start=\"0\" data-end=\"165\"><strong data-start=\"0\" data-end=\"24\">FSM (Free Space Map):<\/strong> keeps track of free space within a table. When new data is inserted, PostgreSQL checks FSM to determine where the new data can be written.<\/p>\n<p class=\"\" data-start=\"167\" data-end=\"269\">If there is available space in FSM, the new data is written there; otherwise, a new page is created.<\/p>\n<p class=\"\" data-start=\"271\" data-end=\"346\">You can use the following query to get more detailed information about FSM:<\/p>\n<pre class=\"lang:default decode:true \">Select*from pg_freespace(table_name)<\/pre>\n<p class=\"\" data-start=\"0\" data-end=\"125\"><strong data-start=\"0\" data-end=\"23\">VM (Visibility Map):<\/strong> is updated during UPDATE and DELETE operations to track which data is visible or invisible.<\/p>\n<p class=\"\" data-start=\"127\" data-end=\"268\">It helps PostgreSQL determine which pages contain only live tuples, improving query performance by avoiding unnecessary scans of dead rows.<\/p>\n<p class=\"\" data-start=\"270\" data-end=\"348\">You can use the following query to get more detailed information about VM:<\/p>\n<pre class=\"lang:default decode:true \">Select*from pg_visibilty(table_name)\r\n<\/pre>\n<p data-start=\"1042\" data-end=\"1234\">You can check when tables were last analyzed and what actions autovacuum has performed using the following query:<\/p>\n<pre class=\"lang:default decode:true\">SELECT relname,last_vacuum, last_autovacuum, last_analyze, last_autoanalyze FROM pg_stat_user_tables;<\/pre>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_58333\" class=\"pvc_stats all  \" data-element-id=\"58333\" 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>In today&#8217;s article, we will provide important insights on dead rows, vacuum operations, FSM, and VM in PostgreSQL. When performing UPDATE or DELETE operations on a table in PostgreSQL, the modified or deleted data is still retained. For example, when you execute an UPDATE operation on a table, the existing data is hidden, and a &hellip;<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_58333\" class=\"pvc_stats all  \" data-element-id=\"58333\" 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":366,"featured_media":58334,"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":[5],"tags":[],"class_list":["post-58333","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-postgres"],"aioseo_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - 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