In Spark, an “action” refers to an operation that triggers a computation on an RDD (Resilient Distributed Dataset). When an action is called, Spark starts executing the computation and generates a result. Common action operations include collect, count, reduce, take, and so on. Actions are crucial points in Spark where job execution is triggered, leading to the computation of the final result from beginning to end.<\/p>\n","protected":false},"excerpt":{"rendered":"
In Spark, an “action” refers to an operation that triggers a computation on an RDD (Resilient Distributed Dataset). When an action is called, Spark starts executing the computation and generates a result. Common action operations include collect, count, reduce, take, and so on. Actions are crucial points in Spark where job execution is triggered, leading […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[964,302,342,5928,5927],"class_list":["post-5457","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-apache-spark","tag-big-data","tag-data-processing","tag-rdd-operations","tag-spark-action"],"yoast_head":"\n