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There are many objective reasons for this, such as: <ul> <li>the difficulty of the field of system performance in general,</li> <li>lack of good \\"playground\\" environments where people can experience how databases work at a larger scale,</li> <li>lack of certain capabilities in Postgres observability tools that are still developing (though, at a good pace),</li> <li>insufficiency of good educational materials.</li> </ul></p> <p>All these barriers are reasonable. They limit the number of engineers possessing well-developed Postgres query optimization skills. However, there is a specific <i>artificial</i> barrier that is rather influential and which is relatively easy to eliminate.</p> <p> Here it is: the EXPLAIN command has the BUFFERS option disabled by default. I am sure it has to be enabled and used by everyone who needs to do some SQL optimization work. </p>","date":"2022-01-06T22:51:00.000Z","tags":[{"inline":true,"label":"Postgres insights","permalink":"/blog/tags/postgres-insights"},{"inline":true,"label":"SQL optimization","permalink":"/blog/tags/sql-optimization"},{"inline":true,"label":"EXPLAIN","permalink":"/blog/tags/explain"}
1],"readingTime":19.84,"hasTruncateMarker":true,"authors":[{"name":"Nikolay Samokhvalov","key":null,"page":null}],"frontMatter":{"author":"Nikolay Samokhvalov","authorimg":"/assets/images/nik.jpg","date":"2022-01-06T22:51:00.000Z","publishDate":"2022-01-06T22:51:00.000Z","linktitle":"EXPLAIN (ANALYZE) needs BUFFERS to improve the Postgres query optimization process","title":"EXPLAIN (ANALYZE) needs BUFFERS to improve the Postgres query optimization process","weight":0,"image":"/assets/thumbnails/20220106-explain-analyze-needs-buffers-to-improve-postgres-query-optimization-process.jpeg","description":"<div><img src=\\"/assets/thumbnails/20220106-explain-analyze-needs-buffers-to-improve-postgres-query-optimization-process.jpeg\\" alt=\\"Io, a Jupiter\'s moon\\"/> <small>(Io, a Jupiter\'s moon)</small></div> <p>SQL query optimization is challenging for those who have just started working with PostgreSQL. There are many objective reasons for this, such as: <ul> <li>the difficulty of the field of system performance in general,</li> <li>lack of good \\"playground\\" environments where people can experience how databases work at a larger scale,</li> <li>lack of certain capabilities in Postgres observability tools that are still developing (though, at a good pace),</li> <li>insufficiency of good educational materials.</li> </ul></p> <p>All these barriers are reasonable. They limit the number of engineers possessing well-developed Postgres query optimization skills. However, there is a specific <i>artificial</i> barrier that is rather influential and which is relatively easy to eliminate.</p> <p> Here it is: the EXPLAIN command has the BUFFERS option disabled by default. I am sure it has to be enabled and used by everyone who needs to do some SQL optimization work. </p>","tags":["Postgres insights","SQL optimization","EXPLAIN"]},"unlisted":false,"prevItem":{"title":"Progress bar for Postgres queries \u2013 let\'s dive deeper","permalink":"/blog/20220114-progress-bar-for-postgres-queries-lets-dive-deeper"},"nextItem":{"title":"DLE 3.0: UI, persistent clones, PostgreSQL 14, more","permalink":"/blog/20211221-dle-3-0-0-brings-ui-and-persistent-clones"}}')},52700(e,t,s){s.r(t),s.d(t,{assets:()=>n,contentTitle:()=>l,default:()=>d,frontMatter:()=>r,metadata:()=>i,toc:()=>h});var i=s(37582),a=s(74848),o=s(28453);s(7177),s(34395);const r={author:"Nikolay Samokhvalov",authorimg:"/assets/images/nik.jpg",date:new Date("2022-01-06T22:51:00.000Z"),publishDate:new Date("2022-01-06T22:51:00.000Z"),linktitle:"EXPLAIN (ANALYZE) needs BUFFERS to improve the Postgres query optimization process",title:"EXPLAIN (ANALYZE) needs BUFFERS to improve the Postgres query optimization process",weight:0,image:"/assets/thumbnails/20220106-explain-analyze-needs-buffers-to-improve-postgres-query-optimization-process.jpeg",description:'<div><img src="/assets/thumbnails/20220106-explain-analyze-needs-buffers-to-improve-postgres-query-optimization-process.jpeg" alt="Io, a Jupiter\'s moon"/> <small>(Io, a Jupiter\'s moon)</small></div> <p>SQL query optimization is challenging for those who have just started working with PostgreSQL. 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There are many objective reasons for this, such as:"}),"\n",(0,a.jsxs)(t.ul,{children:["\n",(0,a.jsx)(t.li,{children:"the difficulty of the field of system performance in general,"}),"\n",(0,a.jsx)(t.li,{children:'lack of good "playground" environments where people can experience how databases work at a larger scale,'}),"\n",(0,a.jsx)(t.li,{children:"lack of certain capabilities in Postgres observability tools that are still developing (though, at a good pace),"}),"\n",(0,a.jsx)(t.li,{children:"insufficiency of good educational materials."}),"\n"]}),"\n",(0,a.jsxs)(t.p,{children:["All these barriers are reasonable. They limit the number of engineers possessing well-developed Postgres query optimization skills. 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I am sure it has to be enabled and used by everyone who needs to do some SQL optimization work."]})]})}function d(e={}){const{wrapper:t}={...(0,o.R)(),...e.components};return t?(0,a.jsx)(t,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}},95343(e,t,s){s.d(t,{a:()=>g});s(96540);var i=s(74848);const a=e=>(0,i.jsx)("svg",{className:e.className,viewBox:"0 0 15 14",fill:"none",xmlns:"http://www.w3.org/2000/svg",children:(0,i.jsx)("path",{d:"M13.6571 6.16873L7.83291 0.344521C7.37355 -0.11484 6.62854 -0.11484 6.16917 0.344521C5.70981 0.803883 5.70981 1.5489 6.16917 2.00826L11.161 7.00001L6.16917 11.9917C5.70981 12.4511 5.70981 13.1961 6.16917 13.6555C6.62854 14.1148 7.37355 14.1148 7.83291 13.6555L13.6571 7.8313C14.1165 7.37308 14.1165 6.62809 13.6571 6.16873ZM6.65418 5.81604L2.03028 0.942636C1.56565 0.453556 0.813091 0.453556 0.348467 0.942636C-0.116156 1.43172 -0.116156 2.22511 0.348467 2.71479L4.13178 6.70212L0.348467 10.6895C-0.116156 11.1786 -0.116156 11.9725 0.348467 12.4616C0.813091 12.9507 1.56565 12.9507 2.03028 12.4616L6.65418 7.5882C7.1188 7.09912 7.1188 6.30572 6.65418 5.81604Z",fill:"currentColor"})}),o="icon_V8r0",r=e=>(0,i.jsxs)("a",{href:e.href,className:e.className,children:[e.children,"\xa0",(0,i.jsx)(a,{className:o})]}),l="root_GDEH",n="img_yZ2V",h="content_Ja04",c="title_Eg0U",d="desc_OsDW",p="links_rDgJ",m="link_hKLb",g=()=>(0,i.jsxs)("div",{className:l,children:[(0,i.jsx)("img",{src:"/assets/db-lab-logo.svg",alt:"Database Lab",className:n,width:"224px",height:"170px"}),(0,i.jsxs)("div",{className:h,children:[(0,i.jsx)("h6",{className:c,children:"DBLab Engine"}),(0,i.jsx)("p",{className:d,children:"Instant database branching with O(1) economics."}),(0,i.jsxs)("nav",{className:p,children:[(0,i.jsx)(r,{href:"/blog/20250721-dblab-engine-4-0-released",className:m,children:"Read detailed blog post"}),(0,i.jsx)(r,{href:"/docs",className:m,children:"Read documentation"})]})]})]})},99312(e,t,s){s.d(t,{p:()=>a});s(96540);var i=s(74848);const a=e=>(0,i.jsx)("a",{href:e.href,className:e.className,"aria-label":e.label,target:"_blank",rel:"noopener noreferrer",children:e.children})}}]);

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.