I am trying to take my input data.
Scala floor a spark column.
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.
When you have nested columns on spark datframe and if you want to rename it use withcolumn on a data frame object to create a new column from an existing and we will need to drop the existing column.
Column the target type triggers the implicit conversion to column scala val idcol.
Column id idcol.
Below example creates a fname column from name firstname and drops the name column.
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.
Val people sqlcontext read parquet in scala dataframe people sqlcontext read parquet in java.
Add column to dataframe conditionally 2.
The internal catalyst expression can be accessed via expr but this method is for debugging purposes only and can change in any future spark releases.
Column id beside using the implicits conversions you can create columns using col and column functions.
A distributed collection of data organized into named columns.
Using spark dataframe withcolumn to rename nested columns.
So let s get started.
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.
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.
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.
A dataframe is equivalent to a relational table in spark sql.