--- title: User-defined aggregation functions in Spark | daily.dev description: Learn about user-defined aggregation functions (UDAF) using `org.apache.spark.sql.expressions.Aggregator` in Spark SQL. Understand the benefits of using... canonical: https://daily.dev/posts/user-defined-aggregation-functions-in-spark-w9ogemgeh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: User-defined aggregation functions in Spark | daily.dev og:description: Learn about user-defined aggregation functions (UDAF) using `org.apache.spark.sql.expressions.Aggregator` in Spark SQL. Understand the benefits of using... og:url: https://daily.dev/posts/user-defined-aggregation-functions-in-spark-w9ogemgeh og:image: https://api.daily.dev/og/posts/W9oGemgEH.png og:image:alt: User-defined aggregation functions in Spark og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # User-defined aggregation functions in Spark **[habr](https://daily.dev/sources/habr)** · 6 min read · 0 upvotes · 0 comments ## Summary Learn about user-defined aggregation functions (UDAF) using `org.apache.spark.sql.expressions.Aggregator` in Spark SQL. Understand the benefits of using Aggregator in Spark SQL for custom aggregation logic, performance optimization, and code reusability. Compare Aggregator with standard functions in Spark SQL. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#performance](https://daily.dev/tags/performance), [#apache-spark](https://daily.dev/tags/apache-spark), [#data-processing](https://daily.dev/tags/data-processing) [View this post on daily.dev](https://daily.dev/posts/user-defined-aggregation-functions-in-spark-w9ogemgeh) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"User-defined aggregation functions in Spark","url":"https://daily.dev/posts/user-defined-aggregation-functions-in-spark-w9ogemgeh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/user-defined-aggregation-functions-in-spark-w9ogemgeh"},"datePublished":"2024-04-01T19:16:44.371Z","dateModified":"2024-05-09T09:06:08.895Z","description":"Learn about user-defined aggregation functions (UDAF) using `org.apache.spark.sql.expressions.Aggregator` in Spark SQL. Understand the benefits of using...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/0641fe5ae93a2f411ccabc3b709ab186?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/0641fe5ae93a2f411ccabc3b709ab186?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"habr","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"habr","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/habr","url":"https://daily.dev/sources/habr"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/user-defined-aggregation-functions-in-spark-w9ogemgeh","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"performance,apache-spark,data-processing","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"habr","item":"https://daily.dev/sources/habr"},{"@type":"ListItem","position":3,"name":"User-defined aggregation functions in Spark"}]} ```