{"id":3551,"date":"2023-02-01T09:23:53","date_gmt":"2023-02-01T09:23:53","guid":{"rendered":"https:\/\/test.opensource-db.in\/wp1\/?p=3551"},"modified":"2023-02-01T09:23:57","modified_gmt":"2023-02-01T09:23:57","slug":"pg_backend_memory_contexts","status":"publish","type":"post","link":"https:\/\/test.opensource-db.in\/wp1\/pg_backend_memory_contexts\/","title":{"rendered":"pg_backend_memory_contexts"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">I have always been curious to look at a certain Postgres backend connection\u2019s memory consumption. With this new <strong>pg_backend_memory_contexts<\/strong> view, we can now take a closer look at how much of memory is exactly allocated for a given Postgres backend process &#8211; be it to simply get an understanding of the total memory used, or even if we intend to identify the TOP 10 memory utilizing contenders.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is how we can use the <strong>pg_backend_memory_contexts<\/strong> view:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em><span style=\"text-decoration: underline;\">Total Memory by session:<\/span><\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">postgres=# SELECT pg_size_pretty(sum(used_bytes)) AS &#8220;TotalMem by session&#8221; FROM pg_backend_memory_contexts;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"544\" height=\"140\" src=\"https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_1.png\" alt=\"\" class=\"wp-image-3552\" srcset=\"https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_1.png 544w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_1-300x77.png 300w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_1-385x99.png 385w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_1-311x80.png 311w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_1-394x101.png 394w\" sizes=\"(max-width: 544px) 100vw, 544px\" \/><figcaption>Get Total Memory Consumed By Each Session in Postgres using pg_backend_memory_contexts<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><em><span style=\"text-decoration: underline;\">TOP 10 memory utilizing contenders:<\/span><\/em><br>postgres=# SELECT * FROM pg_backend_memory_contexts ORDER BY used_bytes DESC LIMIT 10;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"543\" height=\"516\" src=\"https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_2.png\" alt=\"\" class=\"wp-image-3553\" srcset=\"https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_2.png 543w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_2-300x285.png 300w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_2-104x99.png 104w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_2-84x80.png 84w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_2-319x303.png 319w\" sizes=\"(max-width: 543px) 100vw, 543px\" \/><figcaption>Get Top 10 Memory Contenders in Postgres using pg_backend_memory_contexts<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><em>or a little more granular (but complex to understand) way would be to do this:<\/em><br>postgres=# SELECT name,pg_size_pretty(sum(used_bytes)) FROM pg_backend_memory_contexts<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"546\" height=\"811\" src=\"https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3.png\" alt=\"\" class=\"wp-image-3554\" srcset=\"https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3.png 546w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3-202x300.png 202w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3-67x99.png 67w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3-54x80.png 54w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3-204x303.png 204w, https:\/\/test.opensource-db.in\/wp1\/wp-content\/uploads\/2023\/02\/pg_backend_memory_contexts_image_3-471x700.png 471w\" sizes=\"(max-width: 546px) 100vw, 546px\" \/><figcaption>Get Top Memory Consumption in Postgres using pg_backend_memory_contexts<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Did you ever have a need to identify memory utilization in Postgres backend? How did you do it? Let us know by entering your comments below.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I have always been curious to look at a certain Postgres backend connection\u2019s memory consumption. 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