Shulou(Shulou.com)06/01 Report--

In this issue, Xiaobian will bring you about SparkSession2.x how to realize row and column conversion. The article is rich in content and analyzes and narrates from a professional perspective. After reading this article, I hope you can gain something.

SparkDataFrame converts 1 column m rows to 1 column 1 row

df.agg(collect_set("column name"))+-----------------|collect_set(rules) +-----|[File Exchange Log, UNITA Gateway GAP,-SE(File Exchange Log)]|+----------------------The above is how SparkSession2.x, which is shared by everyone, realizes row conversion and column conversion. If there is similar doubt, please refer to the above analysis for understanding. If you want to know more about it, please pay attention to the industry information channel.

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