WebSep 30, 2016 · I have a dataframe which has columns around 400, I want to drop 100 columns as per my requirement. So i have created a Scala List of 100 column names. And then i want to iterate through a for loop to actually drop the column in each for loop iteration. Below is the code.
Tutorial: Work with Apache Spark Scala DataFrames - Databricks
WebMay 1, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. WebApr 27, 2024 · You can use drop () method in the DataFrame API to drop a particular column and then select all the columns. For example: val df = hiveContext.read.table ("student") val dfWithoutStudentAddress = df.drop ("StudentAddress") Share Improve this answer Follow edited Jun 26, 2024 at 0:07 Jayson Minard 84.4k 36 181 225 answered Nov 17, 2024 at 4:09 bing mail customer portal
scala - Automatically and Elegantly flatten DataFrame in Spark …
WebIn Pyspark we can use df.show (truncate=False) this will display the full content of the columns without truncation. df.show (5,truncate=False) this will display the full content of the first five rows. Share answered Jul 12, 2024 at 21:39 RaHuL VeNuGoPaL 387 3 7 Add a comment 8 The following answer applies to a Spark Streaming application. WebJun 17, 2024 · 1. you could also apply multiple columns for partitionBy by assigning the column names as a list to the variable and use that in the partitionBy argument as below: val partitioncolumns = List ("idnum","monthnum") val w = Window.partitionBy (partitioncolumns:_*).orderBy (df ("effective_date").desc) Share. Improve this answer. WebAug 29, 2024 · Spark select() is a transformation function that is used to select the columns from DataFrame and Dataset, It has two different types of syntaxes. select() that returns … bing make google the default search engine