{"id":11348,"date":"2022-09-27T02:11:33","date_gmt":"2022-09-26T20:41:33","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-spark-2-3-subtract-dataframes-but-preserve-duplicate-values-scala\/"},"modified":"2022-09-27T02:11:33","modified_gmt":"2022-09-26T20:41:33","slug":"solved-spark-2-3-subtract-dataframes-but-preserve-duplicate-values-scala","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-spark-2-3-subtract-dataframes-but-preserve-duplicate-values-scala\/","title":{"rendered":"[Solved] Spark 2.3: subtract dataframes but preserve duplicate values (Scala)"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-59938746\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"59938746\" data-parentid=\"59886077\" data-score=\"0\" data-position-on-page=\"2\" data-highest-scored=\"1\" data-question-has-accepted-highest-score=\"1\" itemprop=\"acceptedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>Turns out it&#8217;s easier to do <code>df1.except(df2)<\/code> and then join the results with <code>df1<\/code> to get all the duplicates.<\/p>\n<p>Full code:<\/p>\n<pre><code>def exceptAllCustom(df1: DataFrame, df2: DataFrame): DataFrame = {\n    val except = df1.except(df2)\n\n    val columns = df1.columns\n    val colExpr: Column = df1(columns.head) &lt;=&gt; except(columns.head)\n    val joinExpression = columns.tail.foldLeft(colExpr) { (colExpr, p) =&gt;\n        colExpr &amp;&amp; df1(p) &lt;=&gt; except(p)\n    }\n\n    val join = df1.join(except, joinExpression, \"inner\")\n\n    join.select(df1(\"*\"))\n}\n<\/code><\/pre>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\"><\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Spark 2.3: subtract dataframes but preserve duplicate values (Scala) <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] Turns out it&#8217;s easier to do df1.except(df2) and then join the results with df1 to get all the duplicates. Full code: def exceptAllCustom(df1: DataFrame, df2: DataFrame): DataFrame = { val except = df1.except(df2) val columns = df1.columns val colExpr: Column = df1(columns.head) &lt;=&gt; except(columns.head) val joinExpression = columns.tail.foldLeft(colExpr) { (colExpr, p) =&gt; colExpr &amp;&amp; &#8230; <a title=\"[Solved] Spark 2.3: subtract dataframes but preserve duplicate values (Scala)\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-spark-2-3-subtract-dataframes-but-preserve-duplicate-values-scala\/\" aria-label=\"More on [Solved] Spark 2.3: subtract dataframes but preserve duplicate values (Scala)\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[803,804,802],"class_list":["post-11348","post","type-post","status-publish","format-standard","hentry","category-solved","tag-apache-spark","tag-apache-spark-sql","tag-scala"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] Spark 2.3: subtract dataframes but preserve duplicate values (Scala) - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-spark-2-3-subtract-dataframes-but-preserve-duplicate-values-scala\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Spark 2.3: subtract dataframes but preserve duplicate values (Scala) - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] Turns out it&#8217;s easier to do df1.except(df2) and then join the results with df1 to get all the duplicates. Full code: def exceptAllCustom(df1: DataFrame, df2: DataFrame): DataFrame = { val except = df1.except(df2) val columns = df1.columns val colExpr: Column = df1(columns.head) &lt;=&gt; except(columns.head) val joinExpression = columns.tail.foldLeft(colExpr) { (colExpr, p) =&gt; colExpr &amp;&amp; ... 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Full code: def exceptAllCustom(df1: DataFrame, df2: DataFrame): DataFrame = { val except = df1.except(df2) val columns = df1.columns val colExpr: Column = df1(columns.head) &lt;=&gt; except(columns.head) val joinExpression = columns.tail.foldLeft(colExpr) { (colExpr, p) =&gt; colExpr &amp;&amp; ... 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