如何在Spark SQL中按列降序排序? [英] How to sort by column in descending order in Spark SQL?

问题描述

我尝试了 df.orderBy("col1").show(10) 但它按升序排序.df.sort("col1").show(10) 也按升序排序.我查看了 stackoverflow，发现的答案都已过时或 提到 RDD.我想在 spark 中使用本机数据框.

I tried df.orderBy("col1").show(10) but it sorted in ascending order. df.sort("col1").show(10) also sorts in ascending order. I looked on stackoverflow and the answers I found were all outdated or referred to RDDs. I'd like to use the native dataframe in spark.

推荐答案

它在 org.apache.spark.sql.DataFrame 用于 sort 方法:

df.sort($"col1", $"col2".desc)

注意 $ 和 .desc 位于 sort 中的列，以便对结果进行排序.

Note $ and .desc inside sort for the column to sort the results by.

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