<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Query-Tuning on Ivan Luminaria</title><link>https://ivanluminaria.com/es/tags/query-tuning/</link><description>Recent content in Query-Tuning on Ivan Luminaria</description><generator>Hugo</generator><language>es</language><lastBuildDate>Thu, 26 Feb 2026 09:34:00 +0100</lastBuildDate><atom:link href="https://ivanluminaria.com/es/tags/query-tuning/index.xml" rel="self" type="application/rss+xml"/><item><title>When a LIKE '%value%' Slows Everything Down: A Real PostgreSQL Optimization Case</title><link>https://ivanluminaria.com/es/posts/postgresql/like-optimization-postgresql/</link><pubDate>Tue, 06 Jan 2026 08:03:00 +0100</pubDate><guid>https://ivanluminaria.com/es/posts/postgresql/like-optimization-postgresql/</guid><description>&lt;p&gt;Hace algunas semanas, un cliente me contactó con un problema muy común:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;&amp;ldquo;La búsqueda en la consola administrativa es lenta. A veces tarda
varios segundos. Ya hemos reducido las JOIN, pero el problema no ha
desaparecido.&amp;rdquo;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Entorno: PostgreSQL en cloud managed.&lt;br&gt;
Tabla principal: &lt;code&gt;payment_report&lt;/code&gt; (~6 millones de filas, 3 GB).&lt;br&gt;
Columna buscada: &lt;code&gt;reference_code&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Query problemática:&lt;/p&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-sql" data-lang="sql"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;SELECT&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="o"&gt;*&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;FROM&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;reporting&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;payment_report&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;r&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;JOIN&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;reporting&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;payment_cart&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;c&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;ON&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;c&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;id&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;r&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;cart_id&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;WHERE&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;c&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;service_id&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="o"&gt;=&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="mi"&gt;1001&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;AND&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="n"&gt;r&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;reference_code&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;LIKE&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s1"&gt;&amp;#39;%ABC123%&amp;#39;&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;ORDER&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;BY&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;c&lt;/span&gt;&lt;span class="p"&gt;.&lt;/span&gt;&lt;span class="n"&gt;created_at&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="k"&gt;DESC&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="k"&gt;LIMIT&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="mi"&gt;100&lt;/span&gt;&lt;span class="p"&gt;;&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;hr&gt;
&lt;h2 id="-primera-observación-las-join-no-eran-el-problema" class="relative group"&gt;🧠 Primera observación: las JOIN no eran el problema &lt;span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100"&gt;&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700" style="text-decoration-line: none !important;" href="#-primera-observaci%c3%b3n-las-join-no-eran-el-problema" aria-label="Ancla"&gt;#&lt;/a&gt;&lt;/span&gt;&lt;/h2&gt;&lt;p&gt;Comparé:&lt;/p&gt;</description></item><item><title>EXPLAIN ANALYZE no basta: como leer realmente un plan de ejecucion PostgreSQL</title><link>https://ivanluminaria.com/es/posts/postgresql/explain-analyze-postgresql/</link><pubDate>Tue, 28 Oct 2025 08:03:00 +0100</pubDate><guid>https://ivanluminaria.com/es/posts/postgresql/explain-analyze-postgresql/</guid><description>&lt;p&gt;El otro dia un colega me manda una captura de pantalla por Teams. Una query corriendo sobre una tabla de 2 millones de filas, 45 segundos de ejecucion. Me escribe:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;&amp;ldquo;Hice EXPLAIN ANALYZE, pero no entiendo que esta mal. El plan parece correcto.&amp;rdquo;&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Spoiler: el plan no era correcto en absoluto. El optimizer habia elegido un &lt;span class="glossary-tip" tabindex="0" data-glossary-desc="Nested Loop Join — la estrategia de join que escanea la tabla interna por cada fila de la tabla externa, ideal para datasets pequenos con indice." data-glossary-url="https://ivanluminaria.com/es/glossary/nested-loop/" data-glossary-more="Leer más →"&gt;nested loop&lt;/span&gt;
 join donde hacia falta un &lt;span class="glossary-tip" tabindex="0" data-glossary-desc="Hash Join — estrategia de join optimizada para grandes volumenes de datos, basada en una hash table construida en memoria." data-glossary-url="https://ivanluminaria.com/es/glossary/hash-join/" data-glossary-more="Leer más →"&gt;hash join&lt;/span&gt;
, y la razon era trivial — estadisticas desactualizadas. Pero para llegar a eso tuve que leer el plan linea por linea, y ahi me di cuenta de que la mayoria de los DBA que conozco usan EXPLAIN ANALYZE como un oraculo binario: si el tiempo es alto, la query es lenta. Fin del analisis.&lt;/p&gt;</description></item></channel></rss>