Scala Floor A Spark Column

Using spark dataframe withcolumn to rename nested columns.

Scala floor a spark column.

I am trying to take my input data. The following example creates a dataframe by pointing spark sql to a parquet data set. In spark you can use either sort or orderby function of dataframe dataset to sort by ascending or descending order based on single or multiple columns you can also do sorting using spark sql sorting functions in this article i will explain all these different ways using scala examples. Column id beside using the implicits conversions you can create columns using col and column functions.

So let s get started. Though really this is not the best answer i think the solutions based on withcolumn withcolumnrenamed and cast put forward by msemelman martin senne and others are simpler and cleaner. A b c 4 blah 2 2 3 56 foo 3 and add a column to the end based on whether b is empty or not. A distributed collection of data organized into named columns.

I think your approach is ok recall that a spark dataframe is an immutable rdd of rows so we re never really replacing a column just creating new dataframe each. Val people sqlcontext read parquet in scala dataframe people sqlcontext read parquet in java. Thanks for the votes. Add column to dataframe conditionally 2.

Column id idcol. In this section we will show how to use apache spark using intellij ide and scala the apache spark eco system is moving at a fast pace and the tutorial will demonstrate the features of the latest apache spark 2 version. Below example creates a fname column from name firstname and drops the name column. Scala iterate though columns of a spark dataframe and update specified values stack overflow to iterate through columns of a spark dataframe created from hive table and update all occurrences of desired column values i tried the following code.

A dataframe is equivalent to a relational table in spark sql. Column the target type triggers the implicit conversion to column scala val idcol.